Submitted:
14 September 2026
Posted:
16 September 2026
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Abstract
Green coffee defects are evaluated worldwide as visible abnormalities, physical damage, foreign matter or off-odor, yet the relationship between a grading label and cup quality is neither direct nor uniform. This review integrates international and national classification systems with evidence on defect formation, green-bean composition, roasting chemistry and sensory consequences. It shows that standards differ fundamentally in sample mass, counting basis, legal status and intended purpose, so their values cannot be converted into a common sensory scale. Defects are best understood as disturbances to precursor pools or as processing and safety risks rather than as fixed flavor entities. The strongest chemical evidence concerns black, sour/brown, immature, insect-damaged and aged beans; many other visible categories lack defect-specific odor-active or dose–response data. The term quaker illustrates the central nomenclature problem: standards commonly join it to immature beans, whereas a differentiated physiological position treats emaciated beans as a separate pathway. Rio flavor and potato taste defect provide more specific chemical signatures than most visual defects. A precursor-centered framework is proposed to connect grading with analytical and roasting practice while retaining uncertainty where the evidence chain is incomplete.
Keywords:
green coffee
; coffee defects
; Coffea
; aroma precursors
; coffee roasting
; quality classification
; off-flavors
; sensory chemistry
1. Introduction
Green coffee is traded, graded and roasted as a biological raw material whose composition is set by fruit development and then altered by harvesting, processing, drying, storage and mechanical handling. A defect is consequently not a single scientific entity: it may be a visually abnormal bean, a fragment of fruit tissue, a foreign object, an infestation sign, an odor detected in the green lot, or a cup fault revealed only after roasting and brewing. ISO 10470 separates foreign matter, fruit components, irregularly formed beans, visually abnormal beans and off-taste coffee, whereas ISO 4149 sets out an olfactory and visual examination for a laboratory sample before defects are separated and weighed [1,2]. This breadth is operationally useful, but it also means that the word “defect” does not by itself identify a causal mechanism, an analytical marker or a sensory threshold.
A stone is a safety and equipment risk but has no coffee-derived aroma-precursor pathway; parchment or husk represents an incomplete separation outcome; a black bean may integrate fruit decay, microbial activity and altered reserve composition; and a stinker may be visually inconspicuous despite a strong cup consequence. The defect label therefore compresses different kinds of information that must be recovered before causal or sensory claims can be made. The SCAA handbook similarly distinguishes primary and secondary defects for a washed Coffea arabica grading system, but this operational hierarchy is not a chemical taxonomy and should not be read as a ranking of universal cup intensity [3].
A useful scientific model is to separate four linked, but non-equivalent, levels. First, morphology describes the object visible in green coffee: color, shape, perforation, fragment size or associated foreign material. Secondly, etiology describes the developmental, microbial, processing or storage pathway that could have produced that appearance. Thirdly, chemistry concerns non-volatile precursors, pre-existing volatile markers and their changes on roasting. Finally, sensory evidence concerns odor-active compounds, controlled mixtures, cup testing or consumer perception. Volatile profiling can distinguish defective from sound beans, but a detected signal is not automatically an odor-active compound in the beverage and does not establish a sensory cause [4,5,6]. This review accordingly treats marker evidence and sensory proof as different evidential levels.
The need for that separation is clearest in roasting. Sucrose, free amino acids, chlorogenic acids (CGAs), trigonelline, lipids and organic acids influence reaction routes and flavor formation, but their concentration differences do not map one-to-one onto a named cup defect. Maillard and Strecker chemistry transform nitrogenous and carbohydrate precursors during roasting, while lipid oxidation and microbial metabolites may introduce other pathways or suppress desirable aroma formation [7,8,9,10,11]. A defect can thus lower quality through a deficit of favorable precursors, an excess of compounds associated with deterioration, uneven heat transfer, or an extrinsic contaminant.
The literature is also complicated by language. Many terms have regional origins and were incorporated into grading systems with different scopes. “Ardido”, “sour”, “brown”, “vinagre” and “fermented” overlap but are not necessarily coextensive; “shell”, “parchment” and “husk” designate different plant materials; and “insect damaged” depends on each system’s threshold for holes or galleries. The term quaker is especially controversial. ISO 10470 presents “immature bean; ‘quaker’ bean” as one category, and the SCAA handbook likewise uses immature/unripe as a grading category [1,3]. By contrast, Coffee Consulate’s differentiated material uses quaker for a lightweight, shriveled, nutritionally or physiologically exhausted bean and keeps it separate from the immature, early-harvested bean [12]. These are competing definitions, not alternative labels that can safely be merged.
This review has three aims. First, it compares the classification architecture of national, international and exchange systems without converting their original sample masses or defect values. Secondly, it organizes green coffee defects by likely stage of origin to clarify what a grading observation can, and cannot, imply about cause. Thirdly, it reviews the evidence on composition, volatile markers, roasting transformations and sensory relevance for key defect types, with special attention to the gaps between chemical discrimination and confirmed cup aroma. The focus is green coffee of Coffea arabica and Coffea canephora. The intended outcome is a more cautious precursor-centered interpretation of defects for researchers, graders and roasters.
2. Materials and Methods
This article is a structured narrative review. Its normative basis comprises national, international and exchange classification systems and standards: ISO 10470 and ISO 4149; the SCAA/SCA handbook; the ICE Futures U.S. Coffee “C” Rules and the ICE Futures Robusta Coffee Futures Contract; and national or regional systems from Brazil, Colombia, Peru, Mexico, Costa Rica, El Salvador, Nicaragua, East Africa, Uganda, Tanzania, Indonesia, Vietnam and Papua New Guinea [1,2,3,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27]. These are read together with the vocabulary standard ISO 3509, the moisture-determination method ISO 6673, the SCA Coffee Value Assessment documents and the ICO quality-improvement and harmonization documents [28,29,30,31,32]. The comparison was deliberately source-preserving: sample masses, defect-equivalent values, weight percentages and system names are reported as specified by their documents, not normalized by conversion.
Scientific literature was identified in bibliographic databases and publisher platforms (PubMed/PMC, ScienceDirect, Wiley Online Library, SpringerLink, ACS Publications, Taylor & Francis Online, MDPI and SciELO), in the ISO Online Browsing Platform and national standards portals, and on the official document servers of the ICO, the SCA and ICE, covering publications up to August 2026 with no language restriction (sources in English, Portuguese, Spanish, German, Indonesian and Vietnamese were consulted). The subject scope covered defective green coffee, green-coffee storage, roasting chemistry, coffee fermentation, mycotoxins, coffee berry borer damage, Rio flavor and potato taste defect. Searches used combinations of “green coffee defect”, “black bean”, “sour bean”, “immature coffee”, “quaker”, “coffee berry borer”, “coffee storage”, “ochratoxin A”, “Rio flavor”, “2,4,6-trichloroanisole”, “potato taste defect”, “2-isopropyl-3-methoxypyrazine”, “coffee volatile marker”, “GC-O” and “coffee roasting precursor”. This terminology reflects the vocabulary used by the normative documents and the core chemical literature rather than assuming that regional terms are interchangeable [1,3,4,5,7].
Sources were assessed in a hierarchy appropriate to the question. Primary normative texts were preferred for definitions, sample bases, classification logic and limits. Primary analytical or experimental studies were preferred for chemical compositions, volatile profiles, insect-associated changes, storage transformations, microbial associations and sensory results. Reviews and technical institutional sources were used to frame mechanisms or identify gaps where primary evidence was not available. Non-verifiable trade claims, unsupported sensory descriptors and sources that did not identify their material or method sufficiently for the claim being made were excluded. For example, volatile-marker reports were retained as evidence of analytical differentiation, whereas unverified claims that a single marker necessarily produces a named cup note were not carried forward [4,5,6].
The narrative synthesis was organized around a causal chain: origin stage, visible or olfactory classification, green-bean composition, roasting-reaction potential, and sensory outcome. “Aroma precursor” is used here for a green-bean constituent that may participate in roasting reactions or determine their balance; it is not used to imply that every difference in a precursor has a known flavor outcome. Similarly, a “marker volatile” denotes a compound useful for distinguishing sample groups unless odor activity, concentration relative to threshold, or controlled sensory evidence has been established. This distinction is particularly important because defect-specific gas chromatography–olfactometry (GC-O), aroma extract dilution analysis or recombination studies remain sparse for individual defects [4,7,10].
The review does not estimate defect prevalence, calculate pooled effect sizes, or infer a common quality score across standards. It also does not treat all coffee species, origins, processing methods or roast degrees as interchangeable experimental backgrounds. Where a study is restricted to Coffea arabica, a particular processing regime or a defined defect mixture, that restriction limits the generality of the interpretation. The term Coffea canephora is used throughout this review except in the official title “ICE Futures Robusta Coffee Futures Contract” and quoted grade terminology [14].
3. Defect Classification Systems Worldwide
3.1. International Reference Frameworks
ISO 10470 is a defect reference chart rather than a trade-grade schedule. It assigns categories and coefficients for loss of mass and sensorial concern, allowing defects to be expressed through a quality-impact logic rather than through the piece-equivalent system used in several commercial rules [1]. ISO 4149 complements that reference chart by specifying olfactory and visual examination and the determination of foreign matter and defects on a 300 g laboratory sample [2]. Taken together, these documents define a common descriptive language and examination procedure, but they do not establish a universal acceptance limit or declare that a coefficient is a measured sensory intensity. The examination standard was revised while this manuscript was in preparation: ISO 4149:2025 (Edition 3, published November 2025) supersedes the 2005 edition and is the operative text, and the companion moisture method was likewise revised as ISO 6673:2025 [2,29]. ISO 10470:2004 remains the current defect reference chart and is under systematic review [1]. The vocabulary for coffee and coffee products is set by ISO 3509, which cross-references ISO 10470 for defect categories; the defect terms themselves are defined in clause 3 of ISO 10470 [1,28].
The SCAA/SCA handbook (originally issued 2 April 2004, revised 26 April 2013; the edition cited here is the 2013 revision) serves a different purpose. It applies to washed Coffea arabica and uses a 350 g green sample with full defect equivalents, together with a 100 g roasted-coffee assessment for quakers [3]. Its primary/secondary distinction is influential in specialty practice: full black, full sour, dried cherry/pod, fungus-damaged material and foreign matter are treated as primary defects, while partial black, partial sour, parchment, floater, immature/unripe, withered, shell, broken/chipped/cut, husk and slight insect damage are secondary defects [3].
The SCA framework itself has moved on. The components of the SCA Coffee Value Assessment (CVA), SCA Standards 102 (sample preparation and tasting mechanics), 103 (descriptive assessment) and 104 (affective assessment), were adopted in November 2024 and, in the SCA’s own words, supersede the 2004 Cupping Protocol and Form [30,33,34,35]. Two consequences matter for this review. First, the CVA reduces the sensory defect list to three cup defects (moldy, phenolic and potato), a far coarser sensory taxonomy than the visual one [35]. Secondly, the CVA Physical Assessment remains based on the 2004 green-grading system and is still in research and development, so the 2004/2013 defect logic reviewed here is superseded as a cupping protocol but not as a green-grading architecture [30].
Exchange rules add a further logic. ICE Futures U.S. Coffee “C” uses a volumetric tray and counts full imperfections relative to an origin-specific basis rather than a fixed mass sample [13]. The ICE Futures Robusta Coffee Futures Contract, by contrast, evaluates a minimum 300 g laboratory sample and expresses defects and foreign matter as percentages by weight [14]. The exchange framework is itself in transition: ICE Futures U.S. is phasing out the Coffee “C” contract in favor of the Coffee “C” Metric contract (listing submitted 21 August 2025), whose rule filing carries the grading standard over unaltered, including the schedule of imperfections, the origin-specific bases and the cup criteria [13,36].
3.2. National and Regional Systems
The national systems demonstrate the same non-equivalence. Brazil’s MAPA IN 8/2003 uses a 300 g working sample and defect equivalents, with a stated order for resolving multiple defects on an individual bean [15]. Colombia’s export resolution uses a 500 g defect sample and faltas, while Peru’s implementation guide applies a 300 g laboratory sample with ISO-oriented quality-impact units [16,17]. Mexico specifies a 300 g basis in its green-coffee standard but combines defect limits with other specification criteria; Costa Rica’s reference chart uses category-equivalent logic without a sample mass in the cited reference document [18,19].
El Salvador’s regulation works with 300 g or a volume basis in its documented materials, and Nicaragua specifies 300.0 g with fractional defect calculations that are not rounded [20,21]. The East African standard uses black-bean equivalence factors and distinguishes Arabica and Canephora values, but its accessible historical text does not state a defect-count sample mass; a harmonized revision (DEAS 130) has been in the East African Community pipeline; in the authors’ verification of the EAC and national-bureau catalogs (August 2026), no adopted revision could be identified, so the 1999 edition is treated here as the operative text [22]. Uganda combines counts, percentages and penalty or bonus points in official forms, while Tanzania uses a 300 g sample and point values with separate grade requirements [23,24].
Indonesia’s SNI assigns nilai cacat on a 300 g sample, Vietnam’s current system uses percentage by mass for defects and foreign matter, and Papua New Guinea uses defect equivalents per kilogram for several green-coffee grades [25,26,27].
The scope follows the systems compared in the ICO harmonization of ICC Resolution 420 with the ISO defect chart and in the ICO quality-improvement program, through which origins not treated individually here (for example Ethiopia, Kenya, India, Guatemala and Honduras) remain accessible [31,32]. Table 1 selects ten systems that illustrate the principal architectures. Black bean is used as the comparison column because it is the only defect defined in every system considered and serves as the unit defect in most of them (one full black bean equals one full defect, imperfection, falta or point), so that differences in its treatment expose differences in the underlying architecture rather than in defect definition. The black-bean entries are reported as the rules define them, rather than as a proposed cross-system conversion. “Not stated” means that the cited accessible document does not provide a comparable sample mass for that procedure, not that the system necessarily uses no sampling protocol.
3.3. Why Harmonization by Arithmetic is Unsound
Three aspects prevent simple interchangeability. First, the sample unit differs: 350 g, 300 g, 500 g, per kilogram and a volumetric tray describe different observation bases [2,3,13,16,27]. Secondly, the object being counted differs. A black bean can be a complete bean, a partly black bean, a percentage by mass, a coefficient-bearing visual category or one element in a defect-priority rule [1,3,14,15]. Thirdly, the decision rule differs: ISO is a reference framework, the SCAA/SCA handbook is a specialty grading guide, exchanges govern contract delivery and national rules may combine legal, export, screen-size, moisture and cup requirements [1,3,13,14,15,16].
Consequently, a calculated conversion of 500 g Colombian faltas to a 300 g system would add numerical precision without preserving the original rule. The appropriate comparative conclusion is not that one system is more or less strict in the abstract; it is that each system measures a specific operational construct. This is central to aroma research because a category defined for commercial counting may group samples with heterogeneous causes and precursor profiles.
4. Defect Typology and Causal Pathways
4.1. A stage-of-Origin Approach
Etiological grouping is more informative than a single visual list because the same appearance may be reached by more than one pathway and a single pathway may produce several appearances. For the present review, defects are grouped by the stage at which the relevant disturbance is initiated: pre-harvest physiology; harvest and cherry maturity; wet or dry processing; drying; storage and transport; insect or microbial attack; and dry milling or other mechanical handling. This organization does not replace the definitions in standards. It instead provides a hypothesis structure for deciding which chemical variables, microbiological tests or sorting records are relevant to a given lot [1,2,37,38].
Pre-harvest physiological defects arise when fruit or bean development is incomplete or structurally abnormal. Sucrose metabolism changes during coffee fruit development, and maturity-stage studies demonstrate that fruit composition and sensory quality vary across developmental stages [39,40]. An immature bean is therefore plausibly associated with an early interruption of reserve deposition, whereas malformed forms and shells are primarily developmental configurations rather than established chemical defect classes [1,41]. A shriveled or emaciated bean may reflect impaired filling, but the exact compositional consequences of that morphology should not be assumed in the absence of direct analysis.
Harvest-related defects begin with the selection of cherries at heterogeneous maturity or with fruit falling, remaining on the ground or being retained too long before processing. Defective-bean studies associate black and sour groups with differences in sugars, lipids, CGAs and other constituents, while standards use appearance-based categories that may aggregate several causal histories [1,42,43]. Overripe or damaged fruit can provide conditions for microbial and oxidative change, but a brown appearance alone does not identify the organism, duration or reaction sequence responsible for the result.
Wet processing introduces mechanical, enzymatic and microbial pathways. Depulping can cut or crush beans when machine settings, fruit properties or foreign material create damaging forces; the visible pulper-cut category is accordingly a process indicator, not by itself proof of a fermented cup note [1,3]. Wet processing also transiently affects seed physiology and exposes material to water-mediated biochemical and microbial change. Experimental work shows reactivation of germination-related processes during post-harvest treatment, while microbiological and metabolomic work documents dynamic changes from cherries through wet processing [44,45,46]. Such changes can be desirable when managed; they become defect-relevant when timing, oxygen exposure, hygiene or fermentation conditions produce unwanted trajectories [47,48,49].
Drying rate and method affect green-bean composition and the aroma-active compounds subsequently observed after roasting [38,50,51]. Rewetting, interrupted drying and uncontrolled temperature can alter moisture distribution, membrane integrity and the conditions for microbial growth. Faded and blotchy/whitish categories are frequently attributed to drying or storage history, but their visual appearance does not establish a common volatile profile or cup effect [1,52,53].
Green coffee storage reduces seed viability and changes potential aroma-precursor pools, including free amino acids and sugars, while accelerated storage studies show lipid-oxidation changes that depend on packaging conditions [53,54]. These mechanisms are pertinent to faded, old or past-crop material, but “old” is a storage history and sensory description rather than a single visual defect category in all standards. Storage also creates an ecological window for fungi; water availability and temperature influence fungal growth and ochratoxin A (OTA) production, requiring a distinction between odor, visible mold and toxicological risk [55,56,57].
The coffee berry borer, Hypothenemus hampei, is a major pest, and infestation level is associated with changes in physical grading and chemical composition of damaged beans [58,59]. Entry holes, internal galleries (the tunnels excavated by the borer inside the bean) and material loss may additionally facilitate microbial colonization, but the hole count does not itself demonstrate fungal contamination or a particular cup flavor [60,61]. Standards also set different thresholds for slight and severe insect damage, so a category boundary is an institutional decision as well as a biological observation [3,21,25].
Broken beans can roast differently because their geometry and surface-to-volume ratio differ; a study in Canephora found adverse sensory effects at a defined proportion of broken material, but this does not establish a unique green-bean volatile marker [62]. Shells, parchment, pods and husks identify incomplete separation of different coffee tissues, whereas stones and twigs are non-coffee foreign matter [1,3]. The principal visual classes discussed in this section and in Section 5 are illustrated in Figure 1.
4.2. Causal Ambiguity and Evidence Discipline
The etiological label attached to a defect should match the strength of available evidence. Field physiology, controlled processing experiments and direct chemical comparisons can support a causal proposition; a standard’s descriptive annex, a handbook descriptor or visual convention may instead provide a useful hypothesis. Black, sour/brown and insect-damaged beans illustrate this difference. Their grouping in standards does not prove a single origin, but independent compositional and volatile studies show that these sample classes differ from sound coffee [4,5,42,43,59]. Conversely, dark-green, bleached, malformed and pulper-cut categories have more limited defect-specific aroma chemistry, despite being clearly relevant to grading [1,3].
A further limitation is mixture. Commercial defects are often collected from lots rather than produced under one controlled pathway; black beans may include fruit affected by delayed processing, disease, prolonged ground contact or other deterioration. This heterogeneity can inflate apparent differences while obscuring the mechanism of any individual bean. Studies that compare clearly selected classes remain valuable for quality control and screening, but their markers should be interpreted as class-associated unless the study controls cause, origin, processing, storage and roast [4,5,42,63]. The review therefore uses “associated with”, “reported in” and “marker” where the evidence does not demonstrate an exclusive causal mechanism.
5. Chemical Composition and Aroma Precursors of Defective Beans
5.1. Precursor Logic and Analytical Limits
The green coffee bean contains carbohydrate, nitrogenous, phenolic and lipid pools that shape roasted aroma through overlapping thermal reactions. Sucrose is an important contributor to the formation of alpha-dicarbonyl compounds during roasting, and roast degree changes the reaction routes that yield alpha-dicarbonyls and other aroma-relevant products [8,9]. Amino acids participate in Maillard and Strecker reactions; trigonelline, CGAs and lipids follow additional thermal and oxidative pathways [7,10,11,64,65]. Defect chemistry is therefore best interpreted as a shifted precursor balance, not as a simple search for a one-compound explanation. The baseline against which defect-associated deviations must be judged is the key-odorant set of sound coffee, established for roasted Arabica through sensory studies of character-impact odorants and for raw Arabica through analyses of potent odorants and their changes during roasting, and compiled in monograph form [66,67,68]. Reviews linking quality grading to volatile chemistry and compiling candidate markers frame this field [69,70].
The analytical evidence has three recurring forms. First, compositional studies quantify non-volatile differences, such as sucrose, CGAs, caffeine, trigonelline, lipids, reducing sugars or biogenic amines. Foundational comparisons reported differences among black, sour, immature and sound beans; proximate composition and fatty-acid profiles were established for green and roasted defective beans; later work quantified amine profiles across several defective classes; and green-bean chemistry has been correlated with cup quality in graded Brazilian lots [42,43,71,72,73]. Secondly, headspace or mass-spectrometric work distinguishes classes through volatile fingerprints or ionization patterns, identifying candidate markers in black, sour, immature, broken and insect-damaged material [4,5,6,74]. Thirdly, a smaller set of studies connects an individual off-flavor syndrome to a chemically defined compound, as with 2,4,6-trichloroanisole (TCA) in Rio flavor and 2-isopropyl-3-methoxypyrazine (IPMP) in potato taste defect [75,76,77,78].
These evidential forms should not be conflated. A volatile may be statistically discriminating without being odor-active; an odor-active compound can be highly potent without explaining all perceptual variation in a defect class; and a measured non-volatile difference may alter roasting potential without surviving into the beverage as a discrete aroma. GC-O links chromatographic separation to human odor perception, and odor activity values relate concentration to threshold, but neither method has been applied comprehensively across the visual defect classes used in trade [4,7,10]. The absence of a full chain is especially important when a handbook descriptor is repeated as if it were a confirmed molecular diagnosis. Odor thresholds are deliberately not tabulated in this review: they are strongly matrix-dependent (values determined in water, cellulose, coffee brew and roasted coffee differ by orders of magnitude), so a single number per compound would misrepresent the underlying data; readers are referred to the key-odorant literature for threshold and odor-activity values [66,67]. Survival of green-bean markers into the roasted product is likewise compound-specific and mostly unmeasured: most potent odorants of raw coffee do not persist through roasting [67], and among the compounds reviewed here persistence is demonstrated only for the fermentation-associated esters [79], TCA [75] and IPMP [78].
5.2. Black Beans
Black beans are usually defined morphologically by a partially or completely black endosperm or surface, but that observation can integrate developmental damage, fermentation, decay and drying history [1,3]. In compositional comparisons, black beans differ from sound beans in several non-volatile variables, including reported changes in sucrose, lipids, CGAs, trigonelline and caffeine across studies and sample sets [42,43].
Volatile studies provide more specific, yet still mainly marker-level, evidence. Toci and Farah identified differences in the volatile composition of defective beans and reported marker candidates for black material; subsequent fingerprinting extended the set of low-quality indicators across defect categories [4,5]. Aldehydes and heterocyclic compounds reported in defective classes can reflect oxidation, microbial activity or altered roasting substrates, but their presence in a headspace profile is not equivalent to proof that a particular molecule is responsible for a black-bean cup note.
It is therefore more precise to state that black beans can contribute to a less favorable precursor balance and uneven roast behavior than to claim a universal “black” flavor.
5.3. Sour/Brown Beans
Sour or brown beans, including categories often termed ardido, combine visible brown or reddish-brown material with a defect concept frequently linked to fermentation or deterioration [1,3,15]. Compared with sound coffee, defective-bean studies report compositional differences that include changes in sugars and other chemical variables; volatile-marker studies identify sour-bean-associated signals such as acids, aldehydes and phenolic candidates [4,5,42,43].
Organic acids influence sourness and overall flavor in coffee, but sensory effects depend on acid identity, concentration, matrix and roast context [80]. Post-harvest microbial metabolism can consume or transform available substrates, while processing conditions shape the microbial and metabolomic trajectory from fruit to green coffee [38,46,47,48]. This provides a mechanistic basis for considering uncontrolled fermentation as one possible sour/brown pathway. It does not show that every brown bean arises through the same organisms or that every sample will produce the same fermented note.
Lower or shifted carbohydrate availability may affect Maillard balance, and microbial metabolites or oxidation products may persist, degrade or react further [8,9,10,11]. Sensory studies of defective mixtures support an adverse effect of defective fractions on beverage perception, but they do not yield a universal concentration threshold for ardido [81]. The leading descriptors should therefore remain broad (sour, fermented, harsh or astringent) unless a defined sensory study and material support a narrower claim.
5.4. Immature Beans
Immature beans arise from cherries harvested before completion of development, making maturity a central explanatory variable rather than merely a color category. Fruit-development work shows changes in sucrose metabolism during coffee development, and maturity-stage research reports differences in chemical composition and sensory quality across fruit stages [39,40]. Chemical comparisons of defective material have found immature beans to differ from sound beans in sucrose, CGAs and related composition variables [42,43]. Amine profiles differ between unripe and sound beans [72], and are additionally processing-dependent within unripe material; that processing study contains no mature control (all treatments are unripe coffee), so it demonstrates process dependence, while the unripe-versus-sound contrast rests on the direct comparison [72,82].
Sucrose accumulation and tissue development are incomplete relative to fully mature material, so the carbohydrate and nitrogen balance presented to roasting differs [39,40]. This may change the formation of Maillard-derived products and help explain why immature material often develops differently under a common roast program [8,9,10]. It is not scientifically adequate to infer a fixed compound profile from the term “immature”.
Sensory references commonly associate immature coffee with green, grassy, cereal-like, hay-like or astringent character, and research on maturity confirms that fruit stage can affect sensory quality [3,40]. The often repeated association with “peanut” needs more restraint. A traditional sensory label is not equivalent to an established raw-bean aroma or to a defect-specific pyrazine mechanism; available marker studies and the broader roasting literature do not support that simplification [4,7,10]. In practical terms, immature beans merit separation because they combine an identifiable harvesting pathway with altered precursors and uneven roasting potential, not because one descriptor can diagnose them.
5.5. Quakers: A Documented Definitional Conflict
The word quaker must be read in its normative and differentiated senses side by side. The standards are uniform on this point: ISO 10470:2004 heads its clause 4.5 entry “Immature bean; ‘quaker’ bean”, treating the two as one visual category with sensorial concern, and the SCAA handbook (p. 18), like the current SCA defect guide (edition 3, p. 23), lists “Quaker (when roasted)” as an alternative name of the immature bean within the secondary-defect structure [1,3,83]. Under this uniform normative position, quaker is the roasted manifestation of an immaturity pathway, and the qualifier “when roasted” makes the roast-appearance basis of the term explicit. This terminology is consequential because it directs attention toward early harvest, incomplete maturation and the precursor profile discussed above.
Coffee Consulate’s differentiated material instead distinguishes an emaciated, light, shriveled bean from the immature bean. In that differentiated position, quaker denotes a nutrient-deficiency or exhausted-bean etiology, while immature beans retain an early-harvest and ripening pathway [12]. Physiological research supports the general proposition that coffee seed development and fruit filling depend on developmental and source–sink processes, but the differentiated material does not justify assigning a universal measured sucrose, amino-acid or volatile profile to all emaciated beans [39,40,84]. The chemical evidence for the differentiated class is therefore much weaker than for experimentally selected immature beans.
The disagreement should not be resolved by choosing one label and silently rewriting the other. For grading, the official standard or contract definition remains controlling. For research, the differentiation matters because visually similar light or wrinkled beans could derive from different causal pathways and hence carry different precursor profiles. A study that pools early-harvest immature beans with physiologically emaciated beans may dilute or misattribute chemical differences. Future work should recruit both classes independently, document morphology and density, establish field or harvest history, and compare their green composition, roast development and GC-O profiles under the same protocol [1,3,7,12].
A related practical implication concerns roast color. The only quaker-specific detection study available operates on exactly this basis: terahertz transmission separates quakers defined operationally by post-roast pallor, in agreement with the “when roasted” qualifier of the SCA texts, but it measures a physical proxy (a moisture and density contrast), not a precursor, so the green-state quaker remains analytically unaddressed [85]. A light roast response in immature material is not proof that every shriveled bean behaves identically, just as a wrinkled surface is not sufficient evidence of the same physiology. The appropriate conclusion is a differential diagnosis: retain the standard’s immature/quaker category for its stated purpose, while recording the alternative emaciation hypothesis separately when the morphology and supply-chain history warrant it [1,3,12].
5.6. Fermented Beans and Stinkers
“Fermented” and “stinker” refer primarily to off-odor or cup categories rather than a single visible morphology. ISO 10470 includes stinker/fermented coffee under defects primarily identified during cupping, which appropriately signals that visual sorting cannot resolve every relevant quality problem [1]. Wet-processing studies demonstrate that microbial communities and metabolites change during conversion of cherries to coffee, and fermentation reviews describe yeast and other microbial roles in the formation of flavor-relevant compounds [46,47,48,49].
When fermentation is controlled, these transformations can support desired quality; the defect problem is loss of control, unsuitable timing, hygiene or oxygen conditions. The chemical evidence for a universal stinker signature is nevertheless limited. Volatile markers found in defective groups can be useful for discrimination, but a marker list does not establish that every stinker has a shared aroma-active compound or that raw visual inspection will detect it [4,5]. Research should thus distinguish process metadata, microbial ecology, green-bean volatile profiling and sensory confirmation rather than treating “fermented” as a molecular endpoint.
5.7. Moldy and Earthy Material, Including OTA
Moldy or earthy material brings sensory and food-safety questions into the same lot, but they are not the same question. Filamentous fungi occur during coffee fermentation, drying and storage, and fungal growth and OTA production are governed by environmental conditions including water activity and temperature [55,56,86]. Studies of defective coffee specifically link ochratoxigenic fungi and OTA accumulation with classes such as black, sour and insect-damaged beans [61,87]. These associations justify targeted monitoring, not an assumption that each visually moldy bean contains OTA or that OTA causes a moldy aroma.
OTA is a toxicologically relevant mycotoxin rather than an aroma marker. Reviews on coffee contamination emphasize prevention across the production chain, while analytical and storage controls address the conditions that permit fungal growth and toxin formation [55,57,88]. This distinction is important for quality systems: a sensory panel may detect a moldy or earthy note without measuring OTA, and a toxin result cannot be inferred from odor alone. The regulatory architecture reinforces this separation: under Regulation (EU) 2023/915 the European Union sets maximum levels for OTA in roasted coffee (3 µg/kg) and soluble coffee (5 µg/kg), while no maximum level is defined for green coffee itself, and the current toxicological basis is the EFSA risk assessment of ochratoxin A in food [89,90].
Fungal volatile compounds can influence sensory quality, and fungal studies have examined volatile production with possible implications for coffee beverage quality [91]. Geosmin is a well-established microbial metabolite associated with earthy–musty odors in foods and water, providing a chemically plausible explanation for some earthy notes [92]. It should nevertheless be reported as a candidate mechanism only when it has been measured in the coffee material under study. Green coffee needs defect-specific GC-O, concentration and sensory work before visible mold, geosmin, earthy perception and OTA can be treated as one causal chain.
5.8. Faded, Whitish and Aged Material
Faded, white or blotchy categories commonly point to drying and storage history. Storage research demonstrates loss of green-coffee viability and changes in potential aroma precursors, while storage and packaging studies identify lipid-oxidation changes and sensory-relevant deterioration [53,54,93]. Drying-temperature work further shows that drying conditions influence later storage quality [52].
The chemical signature is not identical for all pale beans. A uniformly faded bean, a blotchy/spotted bean, an amber bean and a low-density floater are defined differently in standards and may have different histories [1,3,16,21]. Storage experiments under defined time, moisture and temperature quantify the odorant side of this pathway: over nine months of warm storage at elevated water content, methyl 2-methylbutanoate rose from 9 to 500 µg/kg and methyl 3-methylbutanoate from 0.6 to 80 µg/kg, 2-methoxy-4-vinylphenol (4-vinylguaiacol) rose from 390 to 15,000 µg/kg, and 2-methoxy-5-vinylphenol appeared where it had not been detectable, while lowering temperature or water content suppressed these changes [94]. The seed-physiology side is covered by the viability and precursor-pool work cited above [53]. This evidence derives from storage experiments, not from visually graded “faded” beans; it characterizes the aging pathway rather than the sorting class and does not substitute for a defect-specific study of each visual class [53,94,95].
5.9. Insect-Damaged Beans
The chemical evidence for coffee berry borer damage is stronger than for many other visible categories because infestation can be graded and compared. Recent work reports that increasing infestation changes physical quality and chemical composition, while volatile profiling of damaged green beans identifies differences correlated with infestation severity [59,96]. The compositional changes are severity-dependent: leachate electrical conductivity, an indicator of cell-membrane damage, roughly doubled and potassium leaching, acetic acid and succinic acid increased, while total sugars and lipids decreased, only at the highest damage grade, with lower grades statistically indistinguishable from undamaged beans; note that in that study “Clean” denotes beans with one to two orifices without internal discoloration, the undamaged reference being “Control” [59].
Hexanal and 2-pentylfuran rise with the proportion of damaged beans, not with the mere presence of damage: in a blend-proportion design (percentages denote the share of damaged beans in a blend, not severity grades), hexanal was unchanged at a 20% share of slightly damaged beans and increased only at high shares and in heavily damaged material [96]. The fatty-acid profile of bored beans is nevertheless unchanged even where bulk composition differs [71]. The sensory role of these volatiles in a roasted beverage remains to be established for the individual damage class [96]. More severe infestation may differ from slight damage not simply by hole number but by gallery development, endosperm loss and likelihood of secondary colonization. This is why standards’ numerical thresholds should not be mistaken for biochemical thresholds [3,21,25].
Fungi associated with borer galleries and the association between infestation, fungal contamination and OTA risk make it reasonable to investigate damaged beans for mycological hazards [60,61,87]. Yet neither an insect hole nor a volatile marker proves a toxin concentration, and a sensory complaint cannot identify a particular microbial species. Integrated studies that pair damage severity, mycobiota, green chemistry, roasted aroma and cupping are still needed.
5.10. Broken Beans, Shells, Parchment and Husk
Physical fragments and residual tissues are frequently important to grading and roasting even when their defect-specific chemistry is sparse. Broken beans result from mechanical fracture, often in relation to moisture condition and milling forces; altered size can produce faster or less uniform heat transfer during roasting [62,97,98]. A Canephora study found that a defined proportion of broken beans affected sensory quality, which supports a practical roast-consistency concern but not the assignment of a universal molecular marker [62].
Shells are developmental structures exposed by processing, while parchment and husk are different residual fruit tissues that indicate incomplete separation [1,3,99]. Their major effect may be physical (uneven roasting, charring, contamination of the lot or grade non-conformity) rather than a known green-bean precursor shift. Volatile-marker work has detected differences in some physical defect classes, but the sensory bridge remains incomplete [4,5]. It is consequently preferable to say that these materials can impair lot uniformity and may contribute undesirable effects at sufficient inclusion rates, rather than assigning them a definitive standalone cup aroma.
Pods and husks also deserve a mycotoxin distinction because plant residues may carry different microbial exposure histories. The fact that coffee by-products have distinct compositions does not establish their behavior when accidentally included in green coffee, nor does it make a pod or husk a direct OTA marker [57,99,100].
Table 2 summarizes the current evidence without implying that all listed markers are odor-active in the cup. “Marker” includes non-volatile compositional shifts and class-discriminating volatiles; descriptors are leading sensory associations, not universal diagnoses.
6. Special Off-Flavor Syndromes
6.1. Rio Flavor and 2,4,6-Trichloroanisole
Rio flavor is a particularly useful counterexample to the assumption that all meaningful green-coffee defects are visually sortable. It is classically described as a musty, medicinal or iodine-like off-flavor, and analytical investigations identify 2,4,6-trichloroanisole (TCA) as the compound responsible for the Rio character in green coffee, quantified at 15 to 106 ppb in affected green lots and accompanied by 2,4,6-trichlorophenol at 7 to 42 ppb [75]. More recent work developed rapid chemical-ionization mass-spectrometric screening for TCA in green Coffea arabica from different origins [76].
The syndrome does not, however, convert Rio into a visual defect category. ISO 10470 provides a category for other off-flavors and separately includes stinker/fermented coffee, but it does not make Rio a visual black-, brown- or moldy-bean type [1]. Nor do the SCAA/SCA handbook’s visual groups establish TCA as the mechanism of fungus-damaged, sour or foreign-odor material [3]. In practice, Rio may occur alongside a lot’s visible defects or arise in a lot that appears visually acceptable; sensory and chemical screening are therefore complementary rather than sequential substitutes.
A TCA result invites investigation of chlorophenol-related contamination pathways and materials, not generic removal of every dark or discolored bean. Conversely, a lot described as musty should not be labeled Rio without appropriate sensory and analytical evidence. The strength of the Rio literature lies in the explicit identification of a compound and its off-flavor relevance; this evidential standard should not be borrowed by analogy for less well-characterized categories [75,76].
6.2. Potato Taste Defect and IPMP
Potato taste defect (PTD) is another syndrome that may not have a uniform visible counterpart in green coffee. Studies of East African coffee identify 2-isopropyl-3-methoxypyrazine (IPMP) as a compound linked to PTD and to injury involving Antestiopsis bugs [77]. Quantitative analysis in roasted coffee has further supported IPMP as a severity marker, enabling the chemical signal to be related to the intensity of the PTD syndrome [78]. In green coffee, IPMP behaves as an interior signal: whole-bean headspace sampling can return a false negative, so ground-bean sampling is required before absence is claimed [77]. The syndrome’s chemistry was first described in Central African coffee as a “peasy” note attributed to IPMP; the concentration scale in that early conference report differs by orders of magnitude from later determinations, so it is cited here historically rather than quantitatively [103].
The causal story remains more complex than a single pest label. The bacterium Pantoea coffeiphila has been described as the causal organism of the potato taste of Arabica coffee from the African Great Lakes region, with berry wounding facilitating its entry, which positions the bug as a vector or enabler rather than a strict requirement [104]. Fungal taxa have been associated with PTD in Rwandan coffee [105], and experimental work reports that mechanical damage alone can produce PTD without Antestiopsis infestation, raising IPMP from 0.39 to 13.34 µg/g roasted coffee, a factor of about 34, in mechanically damaged berries [106]. The same experiment carries an instructive internal discrepancy. The caged-insect arm produced the most PTD-positive samples (three of four, compared with two of four for mechanical damage and none for the control). Its IPMP value, however, was intermediate between the other two arms and is reported only graphically. The chemical and the sensory ranking of the treatments therefore do not coincide, even though the authors report a positive logistic relationship between IPMP concentration and PTD detection overall [106]. Thus, insect injury, tissue damage and microbial association should be considered interacting or alternative contexts rather than a closed universal chain. The relevant physical defect categories in standards, such as insect-damaged beans, slightly or severely damaged beans, or off-flavor coffee, can flag material for investigation, but they do not define PTD or measure IPMP [1,3,21,22,25].
PTD also cautions against the casual use of “potato” as a generic earthy descriptor. If the syndrome is being claimed, analytical measurement of IPMP and a suitable sensory protocol are preferable. If an earthy note is observed without such evidence, it should remain an earthy or musty sensory observation, potentially linked to several sources. This distinction preserves the value of both screening and cupping without treating one as proof of the other [77,78,105,107].
6.3. Geosmin and General Earthiness
Geosmin is widely recognized as a microbial metabolite responsible for earthy–musty odors in foods and water [92]. Coffee-specific measurements do exist: geosmin has been detected in green Rio-affected coffee and quantified at approximately 1 ppb in a single moldy/earthy green lot [75,101]. Such measurements are punctual rather than generalizable, and it still does not follow that geosmin is the chemical basis of every earthy coffee or that an earthiness descriptor identifies its source; measurement in the material under study, ideally combined with odor activity and sensory data, remains necessary.
Standards generally treat these observations indirectly. ISO 10470 distinguishes visible mold-related or visual categories from off-taste coffee, while the SCAA/SCA handbook classifies fungus-damaged beans and recognizes foreign odor in grading practice [1,3]. Neither structure provides a chemical assay for geosmin, IPMP or TCA.
7. Discussion
7.1. Defects as Precursor Shifts Rather Than Fixed Flavors
The principal synthesis of this review is that green coffee defects are best treated as deviations in material condition and precursor state (Figure 2). For black, sour/brown, immature, insect-damaged and stored beans, the literature documents compositional or volatile differences relative to sound coffee [4,5,42,43,53,59]. The most plausible route to aroma relevance is then through changed roasting chemistry: altered sucrose and amino-acid availability, phenolic composition, lipid oxidation, pre-existing microbial metabolites, or physical heat-transfer differences influence the volatile mixture formed in the roaster [7,8,9,10,11,65].
A defective bean enters a blend at a certain fraction, has a specific moisture and density, follows a particular roast profile, and is diluted by sound material. A chemical marker may indicate that the bean belongs to a defective class without setting the concentration of an odor-active compound in a brewed beverage. Conversely, a potent contaminant such as TCA can produce a notable syndrome despite the absence of a distinctive visual bean category [4,7,75,76].
This distinction should refine, rather than reject, commercial grading. Visual sorting is highly effective for objects with clear morphology, such as stones, pods, fragments, shells and heavily bored beans, and it can remove material associated with increased quality or safety risk [1,3,108]. It cannot resolve every off-flavor syndrome, distinguish all causal pathways within a color group, or establish chemical safety.
7.2. Classification–Chemistry Mismatch
The review identifies a persistent mismatch between standard categories and the granularity of chemical evidence. Standards must use definitions that are repeatable in routine inspection, often based on visual presentation or simple counts. Chemistry instead reveals overlapping causes and transitions. For example, black and sour/brown groups show multiple compositional and volatile shifts, but their appearances can arise through several pre- and post-harvest routes [1,4,5,42,43]. Insect categories separate hole counts for practical purposes, although damage severity, life stage, microflora and physical tissue loss need not change at the same threshold [3,21,25,58].
The quaker controversy is a more fundamental mismatch because it concerns the object being studied. ISO/SCAA terminology places quaker with immature material, whereas the differentiated Coffee Consulate position separates emaciated beans from immature beans [1,3,12]. Neither usage should be silently imposed on the other. Future manuscripts, datasets and sorting trials should state the operational definition, show images or morphology criteria, and record whether the material is selected as early-harvest immature or as shriveled/emaciated. Only then can reported precursor differences be compared meaningfully.
Non-interchangeability also applies across countries and markets. A defect total has no stable chemical interpretation if it is derived from a 350 g full-equivalent count, a 500 g falta system, a 300 g point system, a mass percentage, a volumetric tray or a per-kilogram equivalent [3,13,16,24,26,27]. A study designed for aroma chemistry may need a defect-specific sample preparation that is finer than the commercial grade to avoid mixing several causes in one group.
The controlled-fraction sensory evidence available across this review reduces to four data points. A defined proportion of broken beans affected sensory quality in Canephora [62]; defective fractions adversely affected beverage perception in mixtures with healthy beans, without yielding a universal threshold [81]; in a blend-share volatile design, marker compounds rose only at high shares of damaged beans [96]; and in the PTD field experiment, the cup incidence and the chemical marker ranked the treatments differently [106]. Beyond these, no visual defect class has a published beverage-level sensory threshold.
7.3. Research Priorities
The most important research gap is defect-specific sensory chemistry after roasting. Many studies establish differences in green-bean composition or volatile fingerprints, but few close the chain with roasted GC-O, odor activity values, recombination or omission experiments and blinded sensory work at known defect fractions [4,5,6,7]. Such studies should analyze green and roasted material from the same defined defects, including controls matched by species, origin, processing, crop age and moisture.
A second priority is causal sampling. Black and sour/brown beans should be collected from known histories, or generated through controlled pathways where ethical and practical, to separate delayed processing, microbial decay, heat damage and other routes. Immature and emaciated/quaker material should be deliberately separated according to the two documented definitions before comparing sugars, CGAs, amino acids, trigonelline, lipids, biogenic amines and roast development [1,12,42,43,72,82]. This is essential if the vocabulary controversy is to be resolved empirically rather than rhetorically.
A third priority is broader species coverage. Much of the defect-specific chemistry has focused on Coffea arabica, whereas Canephora is a major commercial species and is subject to classification systems with distinct grade rules [14,22,25,27]. Recent comprehensive volatile profiling across twelve defect categories of roasted Canephora, including classes with no prior defect chemistry at all (broken, floater/spongy, shell, parchment, husk and foreign matter), tentatively identified 42 candidate compounds, separated bean from non-bean defects as the primary multivariate axis (57.8% of the variance on the first two components; three clusters) and found selected candidates still detectable in commercial-grade samples from three origins [102]. The identifications are, by the authors’ own statement, tentative (no authentic standards, no Kováts confirmation), so marker validation, odor activity and sensory confirmation are still required before any of these candidates can carry a defect claim [102].
Finally, food-safety and sensory research should remain linked but separate. Work on fungal growth and OTA needs appropriate water-activity, storage and toxin measurement designs, while moldy or earthy flavor research requires volatile and sensory methods [55,56,57,87,91]. The same principle applies to insect damage and PTD: the borer, fungal associations, IPMP and cup outcome are related research questions, not synonymous variables [61,77,78,105].
7.4. Implications for Grading and Roasting
Graders should record the governing standard, original sample basis, defect definition, count or mass measure, and whether the finding is visual, olfactory or cup-derived. Do not convert a mass percentage to full equivalents or a 500 g falta count to a 300 g type as if this created an equivalent result [14,15,16,26]. Where a lot raises an off-flavor concern without a clear visible category, retain the sensory observation and investigate it analytically where warranted.
For roasters, the relevant question is not only whether a lot meets a defect limit but also whether the defect composition predicts uneven thermal behavior or changed precursor availability. Broken or small material can roast at a different rate, immature material may display altered development, and stored material may have lost some flavor potential [40,53,62]. A single roast profile cannot be expected to restore depleted precursors or neutralize every contaminant; sorting, blend design and storage management therefore remain upstream quality tools.
For laboratories, a tiered strategy is appropriate. Routine physical sorting and moisture checks (the loss-in-mass method was revised as ISO 6673:2025) address visible and process-related defects; targeted chromatography can investigate suspect volatile syndromes such as TCA or IPMP; toxin assays address OTA independently; and sensory protocols test whether a measured difference has cup relevance [2,29,57,76,78].
7.5. Limitations of the Evidence Base
The evidence compiled for this review has quantifiable concentration limits that should temper every marker statement made above. First, a single source dominates the volatile evidence: the largest defect-volatile study contributes 73.8% of the compound-level observations underlying the marker discussion (computed as its share of the compound-level observations in the extraction matrix compiled for this review), its tables report directional differences without significance tests, and its own authors ultimately endorse only 2-butyl-3,5-dimethylpyrazine, at dark roast, as a low-quality indicator [5]. Any statement of the form “N compounds are associated with defect X” inherits that concentration.
Secondly, several graded classes have almost no measured chemistry. Broken/chipped/cut beans, floaters, withered beans and foreign matter are fully defined, weighted and counted in the trade standards; for broken, floater/spongy, shell, parchment, husk and foreign matter, the first volatile data as sorted classes have appeared only in roasted Robusta and only at tentative identification level, withered beans remain entirely unmeasured, and quakers carry definitions and a physical detection proxy but no defect-specific chemical evidence [1,3,83,85,102]. For these classes, the grading label remains very nearly the entire evidence base. The normative comparison is itself limited in coverage: Ethiopia, Kenya, India, Guatemala and Honduras are represented only through the ICO compilations, not by their own instruments [31,32].
Thirdly, no positive ochratoxin A value in the reviewed literature is tied to a visually graded defect class. The quantitative OTA data derive from controlled inoculation of sterilized, rewetted beans, which establishes formation conditions rather than the toxin content of graded defective beans, and the one direct measurement on a moldy/earthy graded lot was negative [55,101]. Claims connecting visual classes to OTA therefore remain risk-based rather than measured.
Finally, roast defects constitute a separate defect axis that must not be conflated with green-bean classes. Marker compounds have been assigned to light, scorched, dark, baked and underdeveloped roast faults produced from sound green coffee, and one of them, phenol, is also a recurring cup descriptor of several green defect classes; a phenolic or smoky note is therefore not by itself diagnostic between a green-bean defect and a roasting fault [109].
8. Conclusions
Green coffee defect systems are indispensable for inspection and trade, but they do not constitute a universal chemistry or sensory scale. ISO, specialty, exchange and national systems differ in sample basis, defect logic and purpose; their counts and percentages must therefore be retained in their original form rather than converted across systems [1,2,3,13,14,15,16].
A precursor-centered interpretation provides a stronger bridge to aroma research. Black, sour/brown, immature, insect-damaged and aged beans have documented compositional or volatile deviations, while roasting transforms those deviations through overlapping Maillard, Strecker, lipid and other pathways [4,5,8,10,42,43,53,59]. For many physical or visual categories, however, the evidence remains primarily morphological or operational, and defect-specific odor-active evidence is missing.
The quaker terminology must remain explicitly dual. ISO/SCAA usage associates quakers with immature beans, whereas the differentiated Coffee Consulate position treats shriveled, emaciated beans as a distinct etiological class [1,3,12]. Scientific comparison requires both positions to be recorded, not harmonized by assertion. Rio flavor and PTD show how much stronger a defect account becomes when sensory syndromes are connected to defined markers such as TCA and IPMP [75,78]. Future studies should apply that standard (controlled causal sampling, matched roasting, GC-O or equivalent odor-active analysis, defined defect fractions and blinded sensory testing) to the visual defects that currently dominate green-coffee classification.
Author Contributions
Conceptualization, S.S.; methodology, S.S. and D.W.L.; investigation, S.S. and D.W.L.; data curation, S.S. and D.W.L.; writing – original draft preparation, S.S.; writing – review and editing, D.W.L. All authors have read and agreed to the published version of the manuscript.
Use of Generative Artificial Intelligence
During the preparation of this manuscript, the authors used a generative artificial intelligence assistant (Claude, model Fable 5, Anthropic, accessed via the Claude Code environment) for literature-extraction support, reference management and drafting assistance. All content, claims and references generated with this assistance were reviewed and verified against the primary sources by the authors, who take full responsibility for the content of this publication.
Funding
This research received no external funding.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
No new data were created or analyzed in this study. Data sharing is not applicable to this article.
Conflicts of Interest
Steffen Schwarz is the founder of Coffee Consulate (Mannheim, Germany), the publisher of the EM0011 green coffee defect sample set referenced in this review [12]. The authors declare no further conflicts of interest.
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Figure 1.
Principal visual defect classes of green coffee as discussed in Section 4 and Section 5, shown with the material of the EM0011 defect sample set [12]: a) black beans; b) sour/brown beans (ardido); c) dark green beans; d) underdeveloped, emaciated beans (the class the differentiated position terms quaker); e) unripe beans; f) faded beans; g) eaten beans (slight insect damage); h) well eaten beans (severe insect damage); i) bleached beans; j) malformed beans (madres); k) shells (conchas); l) broken beans; m) parchment coffee; n) dried cherries (pods); o) husk fragments (cascara); p) pulper-cut beans. Photographs © Luca Siermann (fotodesign-siermann.de) for Coffee Consulate; reproduced with permission of the copyright holder.
Figure 1.
Principal visual defect classes of green coffee as discussed in Section 4 and Section 5, shown with the material of the EM0011 defect sample set [12]: a) black beans; b) sour/brown beans (ardido); c) dark green beans; d) underdeveloped, emaciated beans (the class the differentiated position terms quaker); e) unripe beans; f) faded beans; g) eaten beans (slight insect damage); h) well eaten beans (severe insect damage); i) bleached beans; j) malformed beans (madres); k) shells (conchas); l) broken beans; m) parchment coffee; n) dried cherries (pods); o) husk fragments (cascara); p) pulper-cut beans. Photographs © Luca Siermann (fotodesign-siermann.de) for Coffee Consulate; reproduced with permission of the copyright holder.

Figure 2.
Causal chain linking defect origin to sensory outcome, with the level of defect-specific evidence available at each link. Upper boxes: the five stages distinguished throughout this review; lower boxes: the state of evidence for links A–D, with the sections in which it is discussed. Blue solid arrows denote links with defect-specific experimental support; orange dashed arrows denote links supported mainly for sound coffee or for single syndromes (TCA, 2,4,6-trichloroanisole; IPMP, 2-isopropyl-3-methoxypyrazine).
Figure 2.
Causal chain linking defect origin to sensory outcome, with the level of defect-specific evidence available at each link. Upper boxes: the five stages distinguished throughout this review; lower boxes: the state of evidence for links A–D, with the sections in which it is discussed. Blue solid arrows denote links with defect-specific experimental support; orange dashed arrows denote links supported mainly for sound coffee or for single syndromes (TCA, 2,4,6-trichloroanisole; IPMP, 2-isopropyl-3-methoxypyrazine).

Table 1.
Comparative architecture of ten green coffee defect classification systems; sample bases, counting logic and black-bean treatment are reproduced as stated in the governing documents.
Table 1.
Comparative architecture of ten green coffee defect classification systems; sample bases, counting logic and black-bean treatment are reproduced as stated in the governing documents.
| Standard or system | Sample mass or basis, as stated | Counting basis | Treatment of black bean, as stated |
| ISO 10470:2004 (under systematic review) with ISO 4149:2025 examination | 300 g laboratory sample for ISO 4149 examination | ISO 10470 coefficients for loss of mass and sensorial concern; defects may be expressed by mass fraction | Black and partly black: 0 loss-of-mass and 1 sensorial-concern coefficient [1,2] |
| SCAA/SCA Green Arabica Coffee Defect Handbook | 350 g green; 100 g roasted | Full defect equivalents; primary and secondary categories | Full black 1 bean = 1 primary defect; partial black 3 beans = 1 secondary defect [3] |
| ICE Futures U.S. Coffee “C” Rules (being replaced by the Coffee “C” Metric contract; quality standard carried over unaltered) | Volumetric tray | Full imperfections relative to an origin-specific basis | One full black bean = one full imperfection [13,36] |
| ICE Futures Robusta Coffee Futures Contract | 300 g minimum laboratory sample | Percentage of defects and foreign matter by weight | Black bean is defined by extensive external-surface and endosperm blackening within the weight-percentage method [14] |
| Brazil MAPA IN 8/2003 | 300 g working sample | Defect equivalents with a multiple-defect priority sequence | One grão preto = one defect [15] |
| Colombia Resolución 02/2016 | 500 g for defects | Faltas in two groups | One full black bean = one falta; two partly black beans = one falta [16] |
| Peru NTP/GIP implementation | 300 g laboratory sample | ISO-oriented quality-impact units and equivalents | One black bean is listed as one equivalent in the stated annex logic [17] |
| Nicaragua NTON 03 025-11 | 300.0 g | Defect equivalents including fractional results | Black and partial black are separate taste categories with different stated values [21] |
| Tanzania Coffee Industry Regulations | 300 g processed coffee | Defective-points count with individual and fractional point values | Black = 1 point; half black = 1/2 point [24] |
| Indonesia SNI 01-2907-2008 | 300 g | Summed nilai cacat | One black bean = 1; partly black and broken-black entries have smaller stated values [25] |
Table 2.
Reported chemical markers, precursor shifts and leading sensory descriptors for major green coffee defect classes and off-flavor syndromes; markers include non-volatile compositional shifts and class-discriminating volatiles without implied odor activity. Tags in parentheses give the matrix in upper case—G = measured in green beans, R = measured in roasted material—followed after a slash by the evidence status in lower case: q = quantified with inferential statistics reported in the source; d = directional comparison without significance testing; s = single lot or single study; c = conference literature; e.g., (G/q,s). Descriptors derive from grading standards and defect-class literature, not from controlled recombination or omission panels. Odor thresholds are not tabulated because they are matrix-dependent (Section 5.1).
Table 2.
Reported chemical markers, precursor shifts and leading sensory descriptors for major green coffee defect classes and off-flavor syndromes; markers include non-volatile compositional shifts and class-discriminating volatiles without implied odor activity. Tags in parentheses give the matrix in upper case—G = measured in green beans, R = measured in roasted material—followed after a slash by the evidence status in lower case: q = quantified with inferential statistics reported in the source; d = directional comparison without significance testing; s = single lot or single study; c = conference literature; e.g., (G/q,s). Descriptors derive from grading standards and defect-class literature, not from controlled recombination or omission panels. Odor thresholds are not tabulated because they are matrix-dependent (Section 5.1).
| Defect or syndrome | Key chemical markers or precursor shifts | Leading sensory descriptors and evidential qualification |
| Black beans | Reported differences in sucrose, lipids, CGAs, trigonelline and caffeine (G), with directions varying between studies and matrices; class-associated volatile markers including oxidation- and heterocycle-related signals (G/R/d); ESI-MS ionization fingerprints separate defective from non-defective beans (G) | Fermented, dirty, moldy or phenolic are reported descriptors; defect-specific odor-active confirmation remains limited [4,5,42,43,72,74] |
| Sour/brown (ardido) beans | Altered sugars and titratable acidity (G); candidate acid and aldehyde volatile markers (G/d); phenolic volatiles reported in roasted material (R/d) | Sour, fermented, harsh or astringent; no single acid or marker proves the cup effect [4,5,42,43,72,80] |
| Immature beans | Differences in sucrose and maturity-related composition (G); altered amine profiles relative to sound beans (G); amine profiles additionally processing-dependent within unripe material, shown without a mature control | Green, grassy, cereal-like, hay-like and astringent; “peanut” is not a confirmed defect-specific molecular diagnosis [3,39,40,42,43,72,82] |
| Quaker, differentiated emaciation position | Direct defect-specific precursor profile not established; no reviewed study measures quakers separately from immature beans; terahertz transmission provides a physical proxy (moisture/density) tied to an operational post-roast definition (G) | Standards are uniform (ISO 10470 clause 4.5 “Immature bean; ‘quaker’ bean”; SCAA handbook p. 18 and SCA defect guide ed. 3 p. 23 “Quaker (when roasted)”); the emaciation position is the differentiated physiological reading of the present author’s organization [1,3,12,83,84,85] |
| Fermented/stinker coffee | Ethyl 2-methylbutanoate, ethyl 3-methylbutanoate and cyclohexanecarboxylic acid ethyl ester (CHEE) elevated in over-fermented green beans and persisting into roast and brew (G/R); CHEE the only candidate with an aroma value above 1 (10–20), but at sound-control levels in a Robusta sample, so universality fails (conference literature) (c,s) | Fermented or unpleasant off-odor; sensory outcome requires direct evaluation [1,46,47,48,49,79] |
| Moldy/earthy coffee | Geosmin (≈ 1000 ppt), 2-methylisoborneol (≈ 100 ppt) and 2,4,6-TCA (≈ 300 ppt) quantified in a single moldy/earthy green lot (s), located by GC-O after instrumental profiling alone failed to separate the samples (G); OTA negative in the same material; fungal growth and OTA formation governed by water activity and temperature | Moldy, musty or earthy; visible mold, OTA and odor must be assessed separately [55,56,57,86,87,91,92,101] |
| Faded/aged material | Storage-based evidence (defined time, moisture, temperature; not visually graded “faded” beans): methyl 2-/3-methylbutanoate and 2-methoxy-4-vinylphenol strongly increased and 2-methoxy-5-vinylphenol newly appearing after nine months of warm, moist storage (G/q,s); reduced viability and changed precursor pools (G); lipid oxidation under storage (G) | Flat, stale, woody or cardboard-like loss profile; visual pallor alone is non-specific [52,53,54,93,94] |
| Insect-damaged beans | Severity- and share-dependent changes (G): conductivity, potassium leaching and acetic/succinic acid up and sugars and lipids down only at the highest damage grade (q) (the study’s “Clean” = 1–2 orifices without discoloration; undamaged reference = “Control”); hexanal and 2-pentylfuran rising with the blend share of damaged beans, unchanged at 20% (G); fatty-acid profile of bored beans unchanged (G/R); alkanes and interior IPMP in Antestiopsis-damaged beans (G) | Bitter, astringent, sour or diminished aroma are possible, but defect-specific roasted odor-active evidence is incomplete [59,60,71,77,96] |
| Broken beans and residual tissues | Primarily geometry, moisture/milling and material-composition issues; no established defect chemistry; first tentative volatile candidates for broken, shell, parchment and husk reported in roasted Robusta (R/d,s) | Uneven roasting or loss of uniformity; direct sensory effect depends on proportion and roast context [1,62,97,98,99,102] |
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