Preprint
Review

This version is not peer-reviewed.

Discussing Behavioural Ecotoxicology in the Light of Some Environmentally Available Anthropogenic Contaminants and their Influence on Behavioural Alterations in Animals

Submitted:

10 March 2026

Posted:

11 March 2026

You are already at the latest version

Abstract
Behavioural ecotoxicology is a field of applied ecotoxicology, where researchers consider the alterations in the behavioural markers due to the impact of environmental toxicants or contaminants. In fact, understanding the changes in behavioural manifestations helps to understand the respective underlying neurological mechanisms in the organisms and therefore, it effectively helps to describe or predict the neuro-behavioural context of behavioural modifications due to exposure to anthropogenic pollutants. Through this review we are addressing how environmentally available chemicals (such as pesticides, heavy metals (or metalloids), plastics and also pharmaceuticals can have significant acute and/or long-term impact on the behavioural profile of organisms (bioindicator species).
Keywords: 
;  ;  ;  ;  ;  

Introduction

Emerging Contaminants (ECs) including metals, metalloids, wastewater, effluents, sediments, nutrients, pharmaceuticals, polycyclic aromatic hydrocarbons, Persistent Organic Pollutants (POP), pharmaceuticals as well as illegal drugs, pesticides, herbicides, and endocrine disruptors are known toxicological agents to have impact on the ecosystem health (Amoatey and Baawain, 2019). For decades, we have known that chemicals influence the behavioural patterns of animals as well as humans. However, behavioural linkages to reproduction and development may appear obvious within the scope of behavioural ecology, they must be aligned with normal toxicity procedures in order to allow for side-by-side comparisons (Ford et al., 2021). The impact of anthropogenic induction on the stress physiology and behaviour are well-established in a variety of taxonomic groups. Anthropogenic activities on organisms can have indirect impacts on large populations, leading to cascading effects throughout interactive networks, as all organisms interact with conspecifics as well as other species within their groups. Therefore, human-induced modifications to one species stress physiology and the ensuing behavioural effects may interact with other creature’s physiological and behavioural reactions to modify emergent ecological phenomena. These illustrations highlight how individual-level stresses may affect ecological interactions and have cascading effects on ecological and behavioural dynamics. Ultimately, because of their cascading effects on behaviour, alterations in the stress physiological manifestations on one or both sides of organismal interactions can influence the higher-level of population and community changes (Hammond et al., 2020).
Behaviour-based biomarker assessments are quicker, sensitive, and ecologically appropriate for measuring growth and development. Behavioural bioassays or behavioural bioindications are more promising than assays to quantify lethality, which are presently employed to evaluate toxicological risks to organisms. Behavioural changes can give early warning signs regarding a population's health that routine testing do not evaluate. Chemicals can generate prompt behavioural reactions in organisms at low doses, making these endpoints potentially 10-100 times more sensitive than acute or chronic testing (Sharma et al., 2018). However, traditional techniques to study the impact of chemical pollutants on animal behavioural patterns occasionally takes into account the complexities of the natural ecosystems in which contamination occurs (Bertram et al., 2022).
This article broadly deals with the significant impact of several ECs on the behavioural patterns of organisms. The behavioural response to chemical stress is a contemporary issue in the area of behavioural ecology. The fundamentals of the behavioural modifications are important to understand the underlying ecological conditions in terms of toxicity. Ethological analysis of behavioural markers of respective bioindicator species can generate substantial information on the climatic or ecological changes.

Impact of Pharmaceutical Pollution on Animal Behaviour

The degree of exposure to several pollutants may be influenced by these behavioural (and cognitive) impacts, which might create feedback loops that increase the negative effects of pollutants on fish health. Since some stressors may intensify the behavioural impacts of pollutants on fitness, the effects of pollutants should be investigated in a multi-stress context, that is, under realistic environmental conditions in conjunction with several other environmental stressors. Current research indicates that traits related to physiology, personality, cognition, and fitness are frequently associated with syndromes. Long-term exposure to pollution may cause local adaptation or maladaptation, which may contribute to substantial intraspecific sensitivity and variability in wild populations (Jacquin et al., 2020). Pharmaceutical pollutants, which are resistant to biodegradation and can have therapeutic effects at low doses, have become environmental stresses for animals. Concern over the potential for neuroactive substances, discharged into the environment to alter animal behaviour is developing. Among these substances, medications like anxiolytics and antidepressants have drawn more attention lately as they are administered definitely to alter behavioural reactions (Sumpter and Margiotta-Casaluci., 2022).
One notable pharmaceutical contaminant is the anxiolytic oxazepam, a psychotropic medication that is commonly found in surface waters across the world. The multi-stressor strategy involved exposing perch to oxazepam at two temperatures to northern pike (Esox lucius). Oxazepam significantly increased boldness, with treated fish visiting the exposed region (high risk). Fish under low temperature treatments (oxazepam, predation) froze longer than fish at high temperatures (Sasristo et al., 2018). The developmental and behavioural effects of medicines in quaternary combinations were assessed using zebrafish (Danio rerio) embryos. The combination index-isobologram model proved to be appropriate in describing the nature of potential interactions between the combined medicines. The combined action of the quaternary medicines on D. rerio embryos does not appear to generate developmental or behavioural acute unfavourable effects at the concentrations typically encountered in surface fresh waters (Godoy et al., 2019). It is crucial to comprehend the combined effects of blended neuroactive compounds are a class of pollutants that are predominately occurring in the environment. Spontaneous tail coiling is the first detectable motor activity in the developing brain network (Ogungbemi et al., 2021).
Fluoxetine is one such pharmaceutical (antidepressant) contaminant that has been found in surface waters all over the world at concentrations that may change the physiology and behaviour of aquatic life. Predation risk, a particularly significant natural stressor that can have both direct (such as death) and indirect (such as altered prey behaviour) fitness impacts, is one of the many stressors that animals exposed to pharmaceutical pollutants. In the presence of either a non-predatory rainbowfish (Melanotaenia splendida) or a predatory spangled perch (Leiopotherapon unicolor), fluoxetine exposure changed the mating behaviour of both male and female guppies (Poecilia reticulata). Male guppies reproductive behaviour was changed, but not that of females, when exposed to an ecologically relevant concentration. More precisely, independent of perceived predation danger (i.e., in the presence of both a predator and a non-predator), males in the high-fluoxetine treatment displayed a modified mating strategy, engaging in more forceful stealth copulations than unexposed males (Fursdon et al., 2019). Fluoxetine decreased the behavioural flexibility of guppies at the individual level. Additionally, fluoxetine changed between-individual correlations in pace-of-life syndrome traits: interactions between behavioural and life-history traits (e.g., activity and body condition) and between life-history and sperm traits (e.g., gonopodium size and sperm vitality) were triggered, while other between-individual correlations (e.g., activity and gonopodium size) were collapsed (Aich et al., 2025). Using a mesocosm system, fish were subjected to solvent control or ecologically realistic fluoxetine concentrations. Temperature stress and fluoxetine exposure did not appear to have any combined impact on guppy behaviour. Fish activity levels were unaltered by fluoxetine exposure, however male forceful copulatory behaviour increased. Both sexes were less active; however, males engaged in reproductive behaviour less frequently under cold-temperature stress. Acute temperature stress and prolonged exposure to a common pharmaceutical contaminant change basic fitness-related behaviours in fish, which may change population dynamics in polluted environments (Wiles et al., 2020). The effects of fluoxetine in a reproductive environment, namely mating behaviour and sperm quality were examined. Fluoxetine exposure caused males to spend more time pursuing females (Martin et al., 2019). Individual activities were homogenised by fluoxetine; in communities exposed to even modest doses, individual alteration decreased to less than half of that of populations not exposed. The hidden effects of a common pollutant on fish phenotypic variation likely to hinder adaptive potential to environmental change are revealed by the way that fluoxetine reduces activity variation across but not within individuals (Polverino et al., 2021).
Three model psychopharmaceuticals with antagonistic and agonistic serotonin signalling properties, 4-Chloro-DL-phenylalanine (PCPA), deprenyl, and fluoxetine were exposed to single and opposite pharmacodynamics co-exposure in order to modify the serotonergic system in zebrafish larvae's. Deprenyl and fluoxetine showed similar behavioural effects, including cognitive impairment, a reduction in larval protective reactions, and hypo-locomotion. On the other hand, PCPA increased the larvae's escape reaction and caused them to move more quickly. Behaviours were regained when drugs with opposing mechanisms of action were exposed together (Faria et al., 2021). Two model psychiatric medications with antagonistic and agonistic serotonin signalling properties of PCPA and deprenyl, respectively were administered to modify the D. magna monoamine system. Deprenyl and PCPA showed different behavioural effects, with the former chemical showing improved habituation and lower baseline locomotor activities, whereas the latter compound showed delayed habituations. Individuals administered with deprenyl exhibited decreased basal locomotor activity and consistently slower habituations to recurrent light stimulation. The behavioural results of deprenyl were in contrast to those of the PCPA medication or genetically altered people who had lower serotonin levels (Bellot et al., 2021).
Small quantities of physiologically active substances called trace amines are produced endogenously in the brain and share structural similarities with biogenic amines. They have strong behavioural and physiological impacts on both people and animals through their action on certain trace amine-associated receptors (TAARs). However, little is known about the central effects and evolutionary conservation of action of TAAR ligands, despite their recent suggestion as novel potential anxiolytics. At low concentrations, beta-phenylethylamine had overt anxiolytic-like effects and decreased brain acetylcholine levels; at high concentrations, it enhanced whole-body cortisol levels and anxiety-like behaviour in zebrafish (Quintanilha et al., 2025). Clinically utilised as a cognitive enhancer to treat neurodegenerative illnesses, donepezil is a strong acetylcholinesterase inhibitor. Its broader pharmacological perspectives, except cognition is not clearly unknown. The light-dark and shoaling tests, which measure brain acetylcholinesterase activity and whole-body cortisol levels, mimic the anxiety-like behaviours in zebrafish. Overall, donepezil reduced zebrafish locomotor activity and decreased duration in light and in the light-dark test in a dose-dependent manner. These effects are likely to reflect anxiety-like behaviours and hypo-locomotion (Giacomini et al., 2020). Many neuropsychiatric disorders are frequently triggered by neuroinflammation. In a variety of in vivo animal models, lipopolysaccharide (LPS) injection is frequently utilised to cause systemic and brain inflammation (Ilyin et al., 2025).
Table 1. Discussing the behavioural impacts of some pharmaceutical contaminants.
Table 1. Discussing the behavioural impacts of some pharmaceutical contaminants.
Contaminants
(Pharmaceuticals)
Animal Group Exposure Route Behaviour Affected (Direct) Reference
Fluoxetine (Antidepressant) Fish (Danio rerio) Waterborne (via gills) Chronic waterborne fluoxetine exposure reduces locomotor and exploratory activity, alters anxiety-like responses, and disrupts shoaling behaviour via serotonergic modulation Correia et al., 2022
Clarithromycin (CLA), chlortetracycline (CTC) and roxithromycin (ROX) (Antibiotic) Fish (Danio rerio) Waterborne Decrease in the travel distance and velocity, as well as an increase in turn angle Zhang et al., 2023
Ciprofloxacin, Ceftazidime and Chlortetracycline Fish (Danio rerio) Waterborne
Aggravate aggressive behaviours
Petersen et al., 2021
Diclofenac (NSAID) Fish Waterborne Erratic swimming behaviour, movement, increased aggression and lethargy Padma, 2018
Fluoxetine (Antidepressant) Amphibians (Tadpoles) Waterborne Alters locomotor activity and antipredator-related behaviour while inducing abnormal morphological development, indicating disrupted neurodevelopment and stress responses Cordero et al., 2025
Fluoxetine (Antidepressant) Mammals (Mice) Oral ingestion Although chronic fluoxetine treatment proves positive effects in animal models of depression, it may simultaneously increase anxiety in adolescent animals in a dose-related manner Kryst et al., 2022

Impact of Pesticides, Insecticides, Heavy Metals (or Metalloids), Plastic and Other Organic Pollutants on Animal Behaviour

Several amphibian populations are vulnerable due to environmental pollution. Many pollutants change behaviour at levels found in the environment, with detrimental effects for individual fitness, populations, and communities. Insecticides have been shown impact on amphibian behaviour, perhaps lowering fitness. Behavioural endpoints are important sub-lethal indications of how toxins affect frogs, and when combined with typical ecotoxicological endpoints (Sievers et al., 2019). Large volumes of non-linear data are produced by tracking both individual and group behaviours, necessitating the use of specialized computational techniques for information management and interpretation. Two categories of these non-linear analysis techniques that function as markers of the behaviours complexity and predictability which are fractal dimension and entropy. Changes in its entropy values have a clear potential to be integrated into a biological early warning system (BEWS), which may be especially helpful in precision fish farming settings and to monitor wild populations, since contaminants may modulate behavioural complexity and predictability. These contaminants include toxic compounds, cleaning and disinfecting agents, stimulants (caffeine), anaesthetics and antibiotics, heavy metals (lead, copper, and mercury), selenium, pesticides, and persistent environmental pollutants (Eguiraun et al., 2023).
Plastic nanoparticles formed by weathering plastic debris are new pollutants in aquatic habitats, with unknown mechanisms of action on aquatic creatures. According to recent research, internalised nanoplastics have the potential to alter metabolic processes (Brun et al., 2019). Because microplastics may penetrate biological membranes, they may be more dangerous than macroplastics. There is ample evidence of the harmful effects of microplastic exposure on aquatic life and people, but less is known about the toxicity and behavioural alterations of nanoplastics (NP) in animals. Despite their small size, nanoplastics have a large surface area, which means they have the capacity to bind even more harmful substances than microplastics. Crucially, an examination of many behavioural endpoints and various physiological indicators demonstrated that exposure to polystyrene-nanoplastics (PS-NP) caused oxidative stress, tissue accumulation, and disruption of lipid and energy metabolism. In addition of the dysregulated circadian rhythm locomotion activity following chronic exposure, the high concentration of PS-NP group demonstrated noticeable behavioural changes in their locomotor activity, aggression, shoal formation, and predator avoidance behaviour. Furthermore, following a week of exposure to PS-NP, several critical neurotransmitter biomarkers for neurotoxicity research saw substantial alterations, which may suggest possible toxicity from PS-NP exposure. Furthermore, during about one month of incubation, the fluorescence spectroscopical data showed that PS-NP were distributed and accumulated throughout the zebrafish tissues, particularly in the gonads, which may have an additional impact on fish reproductive function (Sarasamma et al., 2020).
Macrobrachium lamarrei, a native freshwater prawn species that is quite common in India, exhibits the strong habit of auto-grooming, non-lethal concentration of arsenic trioxide caused a significant change in this species auto-grooming pattern. It is determined that in aquatic invertebrates, grooming behaviours are accurate indicators of stress or vulnerability to heavy metals (Munshi and Bhattacharya, 2020). In the broad subject of ecotoxicology, behavioural toxicity is a very relevant area where assessing behavioural changes is a useful method of assessing an organism's brain activity. Exposure to arsenic trioxide can cause a freshwater prawn, Macrobrachium lamarrei, to engage in repetitive grooming activities; yet the organism can eventually adjust the grooming performances to less. It is anticipated that recurrent grooming behaviours will result in arsenic neurotoxicity and the development of autism spectrum disorder (ASD) within a brief exposure period (Munshi et al., 2021). Arsenic affects the neurotransmission mechanism, resulting in the repetitive behavioural activities. Arsenic-induced neurotoxicity was confirmed by analysing repetitive grooming and corresponding differential gene expression data (acetyl cholinesterase, neurexin-neuroligins) (Munshi et al., 2024). Fish movement is thought to be essential for foraging and prey-predation interaction. Deep insights into the underlying neuroethological and biomechanical principles can be gained by studying fish swimming patterns. Fish use regulated fin strokes, which involve correlation between the pectoral, dorsal, anal, pelvic, and caudal fin stroking patterns, to primarily govern their movement mechanism. Hydrodynamics and geometric morphology, however, are also quite important. To determine how arsenic affected fish movement, the stroking frequencies of each fin were examined. The findings show that fish in water tainted with arsenic have a higher frequency of all fin strokes. Because of the arsenic trioxide contamination, all of the fins move noticeably more in a given amount of time. It is easy to understand how fishes fin stroke patterns change in a contaminated environment. Arsenic poisoning as an abiotic stressor that causes changes in neural activity, which in turn changes the muscle activity that drives fin motions (Paul and Munshi, 2024).
Table 2. Discussing the behavioural impacts of some organic contaminants.
Table 2. Discussing the behavioural impacts of some organic contaminants.
Contaminants Animal Group Exposure route Behaviour Affected References
PFAS Fish (Danio rerio) PFSAs (PFHxS, PFOS):
Increased swimming distance during darkness
Increased burst (large-movement) activity
Increased startle responses at light transitions
PFOA: Increased swimming distance and burst activity during darkness (hyperactivity)
PFNA: Reduced activity during light, increased burst activity and peak responses,
Indicates altered arousal and motor control, not uniform hyperactivity
FTSA: Increased swimming distance during darkness and suggests stimulatory locomotor effects
Menger et al., 2020
Birds (Waterbird) Predominantly dietary Higher PFAS exposures in wild waterbirds were associated with more frequent egg turning and lower egg temperatures during incubation, indicating altered parental care behaviour likely linked to hormonal disruption. Shahrbabaki et al., 2025
Mammals (Mice) Ingestion via water intake Produce anxiety-like behaviour and impair memory/cognition in adult mice, likely via neurotoxic effects in the brain He et al., 2025b
Table 3. Discussing the behavioural impacts of some pesticides/insecticides.
Table 3. Discussing the behavioural impacts of some pesticides/insecticides.
Contaminants Animal Group Exposure Route Behaviour Affected (Direct) Reference
Imidacloprid (Neonicotinoid) Fish Waterborne uptake via contaminated water. Reduced zebrafish swimming speed, distance, and defensive alertness, and impaired social behaviours such as heterosexual attraction and mutual vigilance after waterborne exposure to sublethal pesticide concentrations Chung et al., 2023
Chlorpyrifos Fish Waterborne uptake via agricultural runoff Induced marked behavioural abnormalities in Labeo rohita, including erratic swimming, hyperactivity followed by lethargy, loss of equilibrium, and reduced escape responses, indicating neurotoxic disruption. Ikram et al., 2023
Imidacloprid Amphibians Waterborne uptake via agricultural runoff Decreased swimming activity and induced lethargy, spasms, and behavioural unresponsiveness in tadpoles during acute sublethal exposure Samojeden et al., 2022
Imidacloprid Birds
Oral exposure via ingestion of imidacloprid-treated seeds and contaminated food items
Reduced antipredator behaviour in farmland birds, causing diminished vigilance and weaker escape responses under simulated predation risk Addy-Orduna et al., 2024
Neonicotinoid Birds Oral exposure via ingestion of contaminated nectar, insects, and plant materials treated with neonicotinoid pesticides. Neonicotinoid exposure in North American hummingbirds is associated with impaired foraging efficiency, altered activity patterns, and reduced migratory and reproductive performance, consistent with sublethal neurobehavioral disruption English., 2020
Chlorpyrifos, carbaryl, imidacloprid Mammals Oral exposure via contaminated food and water, with secondary inhalation or dermal exposure in agricultural settings. Sublethal exposure causes altered locomotion, anxiety-like behaviour, learning and memory deficits, and changes in social or exploratory behaviour driven by central nervous system toxicity Mora-Gutiérrez et al., 2021
Table 4. Discussing the behavioural impacts of some heavy metals.
Table 4. Discussing the behavioural impacts of some heavy metals.
Contaminants Animal Group Exposure Route Behaviour Affected (Direct) Reference
Arsenic Fish (Danio rerio) Waterborne Impaired photomotor reflexes, reduced locomotion, heightened anxiety-like responses, and compromised cognitive function (e.g., object recognition) at various life stages Putnala et al., 2025
Cadmium Fish Waterborne Abnormal swimming patterns, reduced activity, and morphological deformities, reflecting impaired locomotor behaviour and physiological stress Singh and Saxena, 2020
Lead Birds Dietary exposure Reduces locomotor performance, alters exploratory behaviour, and impairs flight initiation, following dietary ingestion of lead-contaminated food Di Liberto et al., 2024
Lead Birds Dietary exposure Impaired song learning and sexual signalling, leading to reduced female attention and altered reproductive behaviour Goodchild et al., 2021
Arsenic Mammals (Mice) Oral ingestion Impaired hippocampus-dependent learning and memory and induces transgenerational cognitive deficits via altered gene expression Hua et al., 2024
Lead Mammals (Mice) Oral ingestion Increased anxiety-like behaviour via serotonergic system disruption in rodents. Tamegart et al., 2021
Cadmium Mammals (Mice) Oral ingestion Selective impairment hippocampus-dependent memory in mice Wang et al., 2021
Table 5. Discussing the behavioural impacts of microplastics.
Table 5. Discussing the behavioural impacts of microplastics.
Contaminants Animal Group Exposure route Behaviour Affected References
Microplastics Fish Oral ingestion Hyperactive swimming behaviour Chen et al., 2020; McCormick et al., 2020
Amphibians (Axolotl) Bio-accumulation via zooplanktons Altered effects on feeding behaviour Manríquez-Guzmán et al., 2023
Amphibians (Physalaemus cuvieri) not specified Anxiety-like behaviours and anti-predatory defensive response deficit da Costa Araújo and Malafaia, 2020.
Birds Direct or indirect ingestion Affected foraging and nesting behaviour Tariq et al., 2022 ;Nguyen et al., 2025
Mammals (Mice) Oral ingestion Elevated locomotion/exploration, increased exploratory behaviour, Altered anxiety or risk behaviour Gaspar et al., 2023
Table 6. Discussing the behavioural impacts of nanoplastics.
Table 6. Discussing the behavioural impacts of nanoplastics.
Contaminants Animal Group Exposure route Behaviour Affected References
Nanoplastics Reptiles (oviparous skink, Scincella modesta) embryonic exposure Reduced locomotor performance He et al., 2025a
Mammals (Swiss mice) in vivo exposure Anxiolytic-like behaviour (in the open field test) and alterations in the antipredatory defensive response Guimarães et al., 2023

Discussion and Conclusions

Awareness of how human-made pollution might change the behavioural characteristics of many aquatic creatures has grown over the past ten years. Changes in neuro-behavioural indices have become sensitive and physiologically integrative endpoints in chemical risk assessment, in addition to their substantial ecological consequences (Wlodkowic et al., 2022). The eco-neurotoxic effects of most industrially important chemicals are still poorly understood, despite growing evidence of pleiotropic ecological dangers. Changes in neuro-behavioural traits have been proposed as highly sensitive and physiologically integrative endpoints to evaluate the eco-neurotoxicological risks associated with industrial pollution. It is necessary to change the paradigms from expensive, low-throughput ecotoxicity test models to next-generation systems that can handle higher throughput because of the significant backlog of risk assessments of both new and old commercial chemicals. The creation of the behavioural fingerprints, such as motion index (MI)-based fingerprints, behavioural phenoclustering, bioinformatic techniques are useful for elucidating common patterns of behavioural responses, and data-intensive computational approaches are used to cultivate rich biometric data from all areas that require state-of-the-art technological innovations (Bownik and Wlodkowic, 2021). The mechanistic analysis of the behavioural changes due to contamination exposure also includes genomic and molecular protocols (Pyle and Ford, 2017).
Environmental contamination can impair behavioural adaptation to other stressors, reducing behavioural plasticity. Contamination can impair behavioural flexibility in response to permissive settings, causing more and less infected individuals to act similarly under increasingly stressful conditions. Such shape changes in reaction standards may be explained by a variety of reasons, including the combined impact of pollutants and other stresses on endocrinology, energy balance, sensory systems, and physiological and cognitive constraints (Grunst et al., 2023).
The effects of anthropogenic pollutants vary according on the matrix, exposure duration and route, and the kind and quantity of pollutants present in the ambience (El-Gendy et al., 2021). The use of the animal personality paradigm, for instance, has made it possible to break down the effects of copper, temperature, and microplastics on behavioural variance into mean level effects, among individual variation, and changes in behavioural reaction norms (Briffa et al., 2024). By reflecting various physiological changes and connecting individuals to population-levels, altered behavioural patterns serves as a sensitive instrument for evaluating the overall effects of ecologically relevant contaminants (Saaristo et al., 2018).
To conclude, still we have many issues to understand the long-term and acute effects of industrial/anthropogenic pollutants on the nervous system and, their respective impact on behavioural manifestations. This can effectively be related with the assessment of ecological and evolutionary fitness. To describe and measure the exposure and detrimental effects of different contaminants, several biomarkers have been used to understand the significant effects of anthropogenic contaminants on the ethological perspectives in animals.

References

  1. Addy-Orduna, L.M.; Ortiz-Santaliestra, M.E.; Mougeot, F.; Bolívar-Muñoz, P.; Camarero, P.R.; Mateo, R. Behavioral responses of imidacloprid-dosed farmland birds to a simulated predation risk. Environmental science & technology 2024, 58(30), 13217–13225. [Google Scholar]
  2. Aich, U.; Polverino, G.; Yazdan Parast, F.; Melo, G.C.; Tan, H.; Howells, J.; Nosrati, R.; Wong, B.B. Long-term effects of widespread pharmaceutical pollution on trade-offs between behavioural, life-history and reproductive traits in fish. Journal of Animal Ecology 2025, 94(3), 340–355. [Google Scholar] [CrossRef]
  3. Amoatey, P.; Baawain, M.S. Effects of pollution on freshwater aquatic organisms. Water Environment Research 2019, 91(10), 1272–1287. [Google Scholar] [CrossRef] [PubMed]
  4. Araújo, C.V.; Laissaoui, A.; Silva, D.C.; Ramos-Rodríguez, E.; González-Ortegón, E.; Espíndola, E.L.; Baldó, F.; Mena, F.; Parra, G.; Blasco, J.; López-Doval, J. Not only toxic but repellent: what can organisms’ responses tell us about contamination and what are the ecological consequences when they flee from an environment? Toxics 2020, 8(4), 118. [Google Scholar] [CrossRef]
  5. Bellot, M.; Faria, M.; Gómez-Canela, C.; Raldúa, D.; Barata, C. Pharmacological modulation of behaviour, serotonin and dopamine levels in daphnia magna exposed to the monoamine oxidase inhibitor deprenyl. Toxics 2021, 9(8), 187. [Google Scholar] [CrossRef] [PubMed]
  6. Bertram, M.G.; Martin, J.M.; McCallum, E.S.; Alton, L.A.; Brand, J.A.; Brooks, B.W.; Cerveny, D.; Fick, J.; Ford, A.T.; Hellström, G.; Michelangeli, M. Frontiers in quantifying wildlife behavioural responses to chemical pollution. Biological Reviews 2022, 97(4), 1346–1364. [Google Scholar] [CrossRef]
  7. Bownik, A.; Wlodkowic, D. Applications of advanced neuro-behavioural analysis strategies in aquatic ecotoxicology. Science of the Total Environment 2021, 772, 145577. [Google Scholar] [CrossRef]
  8. Briffa, M.; Arnott, G.; Hardege, J.D. Hermit crabs as model species for investigating the behavioural responses to pollution. Science of the Total Environment 2024, 906, 167360. [Google Scholar] [CrossRef]
  9. Brun, N.R.; Van Hage, P.; Hunting, E.R.; Haramis, A.P.G.; Vink, S.C.; Vijver, M.G.; Schaaf, M.J.; Tudorache, C. Polystyrene nanoplastics disrupt glucose metabolism and cortisol levels with a possible link to behavioural changes in larval zebrafish. Communications Biology 2019, 2(1), 382. [Google Scholar] [CrossRef]
  10. Chen, Qiqing; Lackmann, Carina; Wang, Weiye; Seiler, Thomas-Benjamin; Hollert, Henner; Shi, Huahong. Microplastics lead to hyperactive swimming behaviour in adult zebrafish. Aquatic Toxicology 2020, 224, 105521. [Google Scholar] [CrossRef]
  11. Chung, K.T.; Chen, L.W.; Tseng, H.W.; Wu, C.H. Neonicotinoid imidacloprid affects the social behavior of adult zebrafish by damaging telencephalon neurons through oxidation stress, inflammation, and apoptosis. Life 2023, 13(6), 1418. [Google Scholar] [CrossRef] [PubMed]
  12. Cordero, L.J.; Smithwick, Z.; Cederlund, B.; Lom, B. Fluoxetine exposure alters behavior and morphology of Xenopus laevis tadpoles. Micropublication Biology 2025, 2025, 10–17912. [Google Scholar]
  13. Correia, D.; Domingues, I.; Faria, M.; Oliveira, M. Chronic effects of fluoxetine on Danio rerio: a biochemical and behavioral perspective. Applied Sciences 2022, 12(4), 2256. [Google Scholar] [CrossRef]
  14. da Costa Araújo, A.P.; Malafaia, G. Can short exposure to polyethylene microplastics change tadpoles’ behavior? A study conducted with neotropical tadpole species belonging to order anura (Physalaemus cuvieri). Journal of hazardous materials 2020, 391, 122214. [Google Scholar] [CrossRef]
  15. Demin, K.A.; Kolesnikova, T.O.; Galstyan, D.S.; Krotova, N.A.; Ilyin, N.P.; Derzhavina, K.A.; Seredinskaya, M.; Nerush, M.; Pushkareva, S.A.; Masharsky, A.; de Abreu, M.S. The Utility of Prolonged Chronic Unpredictable Stress to Study the Effects of Chronic Fluoxetine, Eicosapentaenoic Acid, and Lipopolysaccharide on Anxiety-Like Behavior and Hippocampal Transcriptomic Responses in Male Rats. Journal of Neuroscience Research 2025, 103(2), e70025. [Google Scholar] [CrossRef]
  16. Demin, K.A.; Lakstygal, A.M.; Krotova, N.A.; Masharsky, A.; Tagawa, N.; Chernysh, M.V.; Ilyin, N.P.; Taranov, A.S.; Galstyan, D.S.; Derzhavina, K.A.; Levchenko, N.A. Understanding complex dynamics of behavioral, neurochemical and transcriptomic changes induced by prolonged chronic unpredictable stress in zebrafish. Scientific reports 2020, 10(1), 19981. [Google Scholar] [CrossRef]
  17. Di Liberto, J.F.; Griffith, S.C.; Hall, C.J.; Mendelsohn, A.S.; Swaddle, J.P. Exposure to sublethal concentrations of lead (Pb) affects ecologically relevant behaviors in house sparrows (Passer domesticus). Archives of Environmental Contamination and Toxicology 2024, 86(3), 199–216. [Google Scholar] [CrossRef]
  18. Eguiraun, H.; Martinez, I. Non-linear analyses of fish behaviour s in response to aquatic environmental pollutants-a review. Fishes 2023, 8(6), 311. [Google Scholar] [CrossRef]
  19. El-Gendy, K.S.; Gad, A.F.; Radwan, M.A. Physiological and behavioural responses of land molluscs as biomarkers for pollution impact assessment: A review. Environmental Research 2021, 193, 110558. [Google Scholar] [CrossRef]
  20. English, S.G. An integrative analysis of the effects of neonicotinoid pesticides on North American hummingbirds; University of Toronto (Canada), 2020. [Google Scholar]
  21. Faria, M.; Prats, E.; Bellot, M.; Gomez-Canela, C.; Raldúa, D. Pharmacological modulation of serotonin levels in zebrafish larvae: Lessons for identifying environmental neurotoxicants targeting the serotonergic system. Toxics 2021, 9(6), 118. [Google Scholar] [CrossRef]
  22. Fitzgerald, J.A.; Könemann, S.; Krümpelmann, L.; Županič, A.; Vom Berg, C. Approaches to test the neurotoxicity of environmental contaminants in the zebrafish model: from behaviour to molecular mechanisms. Environmental Toxicology and Chemistry 2021, 40(4), 989–1006. [Google Scholar] [CrossRef]
  23. Ford, A.T.; Ågerstrand, M.; Brooks, B.W.; Allen, J.; Bertram, M.G.; Brodin, T.; Dang, Z.; Duquesne, S.; Sahm, R.; Hoffmann, F.; Hollert, H. The role of behavioural ecotoxicology in environmental protection. Environmental science & technology 2021, 55(9), 5620–5628. [Google Scholar]
  24. Fursdon, J.B.; Martin, J.M.; Bertram, M.G.; Lehtonen, T.K.; Wong, B.B. The pharmaceutical pollutant fluoxetine alters reproductive behaviour in a fish independent of predation risk. Science of the Total Environment 2019, 650, 642–652. [Google Scholar] [CrossRef]
  25. Gaspar, L.; Bartman, S.; Coppotelli, G.; Ross, J.M. Acute exposure to microplastics induced changes in behaviour and inflammation in young and old mice. International Journal of Molecular Sciences 2023, 24(15), 12308. [Google Scholar] [CrossRef] [PubMed]
  26. Giacomini, A.C.; Bueno, B.W.; Marcon, L.; Scolari, N.; Genario, R.; Demin, K.A.; Kolesnikova, T.O.; Kalueff, A.V.; de Abreu, M.S. An acetylcholinesterase inhibitor, donepezil, increases anxiety and cortisol levels in adult zebrafish. Journal of Psychopharmacology 2020, 34(12), 1449–1456. [Google Scholar] [CrossRef]
  27. Godoy, A.A.; de Oliveira, Á.C.; Silva, J.G.M.; de Jesus Azevedo, C.C.; Domingues, I.; Nogueira, A.J.A.; Kummrow, F. Single and mixture toxicity of four pharmaceuticals of environmental concern to aquatic organisms, including a behavioural assessment. Chemosphere 2019, 235, 373–382. [Google Scholar] [CrossRef]
  28. Goodchild, C.G.; Beck, M.L.; VanDiest, I.; Czesak, F.N.; Lane, S.J.; Sewall, K.B. Male zebra finches exposed to lead (Pb) during development have reduced volume of song nuclei, altered sexual traits, and received less attention from females as adults. Ecotoxicology and Environmental Safety 2021, 210, 111850. [Google Scholar] [CrossRef]
  29. Grunst, A.S.; Grunst, M.L.; Fort, J. Contaminant-by-environment interactive effects on animal behaviour in the context of global change: Evidence from avian behavioural ecotoxicology. Science of the Total Environment 2023, 879, 163169. [Google Scholar] [CrossRef]
  30. Guimarães, A.T.B.; Freitas, Í.N.; Mubarak, N.M.; Rahman, M.M.; Rodrigues, F.P.; de Lima Rodrigues, A.S.; Barceló, D.; Islam, A.R.M.T.; Malafaia, G. Exposure to polystyrene nanoplastics induces an anxiolytic-like effect, changes in antipredator defensive response, and DNA damage in Swiss mice. Journal of hazardous materials 2023, 442, 130004. [Google Scholar] [CrossRef]
  31. Hammond, T.T.; Ortiz-Jimenez, C.A.; Smith, J.E. Anthropogenic change alters ecological relationships via interactive changes in stress physiology and behaviour within and among organisms. Integrative and comparative biology 2020, 60(1), 57–69. [Google Scholar] [CrossRef] [PubMed]
  32. He, Q.; Yang, Q.; Wu, L.; He, Y.; Zeng, N.; Wang, Z. Neurotoxic effects of per-and polyfluoroalkyl substances (PFAS) mixture exposure in mice: Accumulations in brain and associated changes of behaviors, metabolome, and transcriptome. Journal of Hazardous Materials 2025, 489, 137699. [Google Scholar] [CrossRef]
  33. He, X.; Xu, J.; Zhang, S.; Hu, M.; Wang, C.; Guan, M.; Li, P.; Chen, L.; Lin, L.; Ward-Fear, G.; Li, H. Embryonic exposure to nanoplastics affects the metabolism and locomotor performance of a soil-dwelling, oviparous skink. Environmental Pollution 2025, 126986. [Google Scholar] [CrossRef]
  34. Hua, W.; Han, X.; Li, F.; Lu, L.; Sun, Y.; Hassanian-Moghaddam, H.; Tian, M.; Lu, Y.; Huang, Q. Transgenerational effects of arsenic exposure on learning and memory in rats: crosstalk between arsenic methylation, hippocampal metabolism, and histone modifications. Environmental Science & Technology 2024, 58(15), 6475–6486. [Google Scholar] [CrossRef] [PubMed]
  35. Ikram, M.; Abdullah, S.; Naz, D.H.; Abbas, K.; Ahmed, T.; Zulfiqar, I.; Zahid, N. Behavioral abnormalities in Labeo rohita under the acute exposure of organophosphate insecticide, chlorpyrifos. Journal of Zoological System 2023, 1(1), 10–14. [Google Scholar] [CrossRef]
  36. Ilyin, N.P.; Galstyan, D.S.; Zolotova, A.E.; Golushko, N.I.; Tolkunova, V.N.; Daryna, S.; Martynov, D.; Apukhtin, K.V.; Stewart, A.M.; de Abreu, M.S.; Kalueff, A.V. Effects of intracerebroventricular lipopolysaccharide administration on behavioral, neurochemical, and neurogenomic responses in adult zebrafish. Behavioural Brain Research 2025, 115676. [Google Scholar] [CrossRef]
  37. Jacquin, L.; Petitjean, Q.; Côte, J.; Laffaille, P.; Jean, S. Effects of pollution on fish behaviour, personality, and cognition: some research perspectives. Frontiers in Ecology and Evolution 2020, 8, 86. [Google Scholar] [CrossRef]
  38. Kryst, J.; Majcher-Maślanka, I.; Chocyk, A. Effects of chronic fluoxetine treatment on anxiety-and depressive-like behaviors in adolescent rodents–systematic review and meta-analysis. Pharmacological Reports 2022, 74(5), 920–946. [Google Scholar] [CrossRef] [PubMed]
  39. Manríquez-Guzmán, D.L.; Chaparro-Herrera, D.J.; Ramírez-García, P. Microplastics are transferred in a trophic web between zooplankton and the amphibian Axolotl (Ambystoma mexicanum): Effects on their feeding behavior. Food Webs 2023, 37, e00316. [Google Scholar] [CrossRef]
  40. Martin, J.M.; Bertram, M.G.; Saaristo, M.; Ecker, T.E.; Hannington, S.L.; Tanner, J.L.; Michelangeli, M.; O'Bryan, M.K.; Wong, B.B. Impact of the widespread pharmaceutical pollutant fluoxetine on behaviour and sperm traits in a freshwater fish. Science of the Total Environment 2019, 650, 1771–1778. [Google Scholar] [CrossRef]
  41. McCormick, M.I.; Chivers, D.P.; Ferrari, M.C.; Blandford, M.I.; Nanninga, G.B.; Richardson, C.; Fakan, E.P.; Vamvounis, G.; Gulizia, A.M.; Allan, B.J. Microplastic exposure interacts with habitat degradation to affect behaviour and survival of juvenile fish in the field. Proceedings of the Royal Society B 2020, 287(1937), 20201947. [Google Scholar] [CrossRef]
  42. Menger, F.; Pohl, J.; Ahrens, L.; Carlsson, G.; Örn, S. Behavioural effects and bioconcentration of per-and polyfluoroalkyl substances (PFASs) in zebrafish (Danio rerio) embryos. Chemosphere 2020, 245, 125573. [Google Scholar] [CrossRef]
  43. Mora-Gutiérrez, A.; Rubio, C.; Romero-López, Á.A.; Rubio-Osornio, M. Neurotoxic effects of insecticides chlorpyrifos, carbaryl, imidacloprid, in different animal species. In Neurotoxicity-New Advances; IntechOpen , 2021. [Google Scholar]
  44. Munshi, C.; Bhattacharya, S. Behavioural toxicity of arsenic trioxide: Alteration in auto-grooming behaviour of a freshwater prawn, Macrobrachium lamarrei. Austin Journal of Environmental Toxicology 2020, 6(1), 1029. [Google Scholar]
  45. Munshi, C.; Das, D.; Biswas, P.; Sen, K.; Mondal, N.; Mukherjee, S.; Bhowmick, R.; Kundu, P. Arsenic induced patterns of auto-grooming response over time in Macrobrachium lamarrei: a study on behavioural plasticity. 2021. [Google Scholar]
  46. Munshi, C.; Mukhuty, A.; Bandyopadhyay, A.; Mondal, P.; Bhowmik, A.D.; Shaw, P.; Bhattacharya, S. Arsenic-Induced Neurotoxicity: A Study on the Brain–Behaviour Circuit. Proceedings 2024, Vol. 102(No. 1), 33. [Google Scholar]
  47. Nguyen, D.; Nguyen, M.K.; Pham, M.T.; La, D.D.; Chang, S.W.; Kim, S.S.; Nguyen, D.D. Plastic debris in bird nests: sources, ecological impacts, and bioindicator potential for monitoring microplastic pollution. Environmental Geochemistry and Health 2025, 47(10), 405. [Google Scholar] [CrossRef]
  48. Ogungbemi, A.O.; Massei, R.; Altenburger, R.; Scholz, S.; Küster, E. Assessing combined effects for mixtures of similar and dissimilar acting neuroactive substances on zebrafish embryo movement. Toxics 2021, 9(5), 104. [Google Scholar] [CrossRef] [PubMed]
  49. Padma, R. Behavioral responses and morphological changes to the drug Diclofenac in Channa punctatus. The American Journal of Science and Medical Research 2018, 4(2), 10–13. [Google Scholar]
  50. Parenti, C.C.; Ghilardi, A.; Della Torre, C.; Magni, S.; Del Giacco, L.; Binelli, A. Evaluation of the infiltration of polystyrene nanobeads in zebrafish embryo tissues after short-term exposure and the related biochemical and behavioural effects. Environmental Pollution 2019, 254, 112947. [Google Scholar] [CrossRef]
  51. Paul, T.; Munshi, C. Effects of non-lethal arsenic contamination on manifesting fin strokes in zebrafish (Danio rerio). Proceedings 2024, Vol. 102(No. 1), 36. [Google Scholar] [CrossRef]
  52. Petersen, B.D.; Pereira, T.C.B.; Altenhofen, S.; Nabinger, D.D.; de Abreu Ferreira, P.M.; Bogo, M.R.; Bonan, C.D. Antibiotic drugs alter zebrafish behavior. Comparative Biochemistry and Physiology Part C: Toxicology & Pharmacology 2021, 242, 108936. [Google Scholar] [CrossRef] [PubMed]
  53. Polverino, G.; Martin, J.M.; Bertram, M.G.; Soman, V.R.; Tan, H.; Brand, J.A.; Mason, R.T.; Wong, B.B. Psychoactive pollution suppresses individual differences in fish behaviour. Proceedings of the Royal Society B 2021, 288(1944), 20202294. [Google Scholar] [CrossRef]
  54. Putnala, S.K.; Rachamalla, M.; Niyogi, S. Neurodevelopmental and behavioural effects of arsenic in zebrafish (Danio rerio). Aquatic Toxicology 2025, 107566. [Google Scholar] [CrossRef]
  55. Pyle, G.; Ford, A. Behaviour revised: contaminant effects on aquatic animal behaviour. Aquatic Toxicology 2017, 182, 226–228. [Google Scholar] [CrossRef] [PubMed]
  56. Quintanilha, T.M.; Costa, P.M.; Cardoso, A.L.; Battú, G.S.; Bastos, L.M.; Dos Santos, B.P.; Müller, T.E.; de Oliveira, T.F.; Piato, A.; Kalueff, A.V.; de Abreu, M.S. Acute Effects of Four Major Trace Amines on Zebrafish Behavioral, Neurochemical, and Neuroendocrine Responses. Journal of Neurochemistry 2025, 169(6), p.e70116. [Google Scholar] [CrossRef] [PubMed]
  57. Rahman, T.; Candolin, U. Linking animal behaviour to ecosystem change in disturbed environments. Frontiers in Ecology and Evolution 2022, 10, 893453. [Google Scholar] [CrossRef]
  58. Saaristo, M.; Brodin, T.; Balshine, S.; Bertram, M.G.; Brooks, B.W.; Ehlman, S.M.; McCallum, E.S.; Sih, A.; Sundin, J.; Wong, B.B.; Arnold, K.E. Direct and indirect effects of chemical contaminants on the behaviour, ecology and evolution of wildlife. Proceedings of the Royal Society B 2018, 285(1885), 20181297. [Google Scholar] [CrossRef]
  59. Saaristo, M.; Lagesson, A.; Bertram, M.G.; Fick, J.; Klaminder, J.; Johnstone, C.P.; Wong, B.B.; Brodin, T. Behavioural effects of psychoactive pharmaceutical exposure on European perch (Perca fluviatilis) in a multi-stressor environment. Science of the Total Environment 2019, 655, 1311–1320. [Google Scholar] [CrossRef]
  60. Samojeden, C.G.; Pavan, F.A.; Rutkoski, C.F.; Folador, A.; da Fré, S.P.; Müller, C.; Hartmann, P.A.; Hartmann, M. Toxicity and genotoxicity of imidacloprid in the tadpoles of Leptodactylus luctator and Physalaemus cuvieri (Anura: Leptodactylidae). Scientific reports 2022, 12(1), 11926. [Google Scholar] [CrossRef]
  61. Sarasamma, S.; Audira, G.; Siregar, P.; Malhotra, N.; Lai, Y.H.; Liang, S.T.; Chen, J.R.; Chen, K.H.C.; Hsiao, C.D. Nanoplastics cause neurobehavioural impairments, reproductive and oxidative damages, and biomarker responses in zebrafish: throwing up alarms of wide spread health risk of exposure. International journal of molecular sciences 2020, 21(4), 1410. [Google Scholar] [CrossRef]
  62. Shahrbabaki, S.V.; Björkman, S.; Shaffer, S.; Jaspers, V.L.; Chastel, O.; Angelier, F.; Hsu, B.Y.; Peterson, S.; Peetumber, T.; Ruuskanen, S.; Arzel, C. Per-and polyfluoroalkyl substances (PFAS) in the wild: Associations with hormones, egg attendance behaviours and hatching success in two long-lived waterbird species. Reproduction in Domestic Animals 2025, 60. [Google Scholar]
  63. Sharma, M.; Thakur, J.; Verma, S.; Sharma, P. Behavioural responses in effect to chemical stress in fish: A review. International Journal of Fisheries and Aquatic Studies 2019, 7(1), 1–5. [Google Scholar]
  64. Sievers, M.; Hale, R.; Parris, K.M.; Melvin, S.D.; Lanctot, C.M.; Swearer, S.E. Contaminant-induced behavioural changes in amphibians: A meta-analysis. Science of the Total Environment 2019, 693, 133570. [Google Scholar] [CrossRef]
  65. Singh, N.; Saxena, B. Behavioral and morphological changes in fresh water fish, Channa punctatus under the exposure of Cadmium. Environment Conservation Journal 2020, 21(3), 187–193. [Google Scholar] [CrossRef]
  66. Sumpter, J.P.; Margiotta-Casaluci, L. Environmental occurrence and predicted pharmacological risk to freshwater fish of over 200 neuroactive pharmaceuticals in widespread use. Toxics 2022, 10(5), 233. [Google Scholar] [CrossRef]
  67. Tamegart, L.; Abbaoui, A.; Bouyatas, M.M.; Gamrani, H. Lead (Pb) exposure induces physiological alterations in the serotoninergic and vasopressin systems causing anxiogenic-like behavior in Meriones shawi: Assessment of BDMC as a neuroprotective compound for Pb-neurotoxicity and kidney damages. Journal of Trace Elements in Medicine and Biology 2021, 65, 126722. [Google Scholar] [CrossRef]
  68. Tariq, A.; Qadir, A.; Ahmad, S.R. Consequences of plastic trash on behavior and ecology of birds. Microplastic Pollution: Environmental Occurrence and Treatment Technologies 2022, 347–368. [Google Scholar]
  69. Wang, H.; Abel, G.M.; Storm, D.R.; Xia, Z. Adolescent cadmium exposure impairs cognition and hippocampal neurogenesis in C57BL/6 mice. Environmental toxicology 2022, 37(2), 335–348. [Google Scholar] [CrossRef]
  70. Wiles, S.C.; Bertram, M.G.; Martin, J.M.; Tan, H.; Lehtonen, T.K.; Wong, B.B. Long-term pharmaceutical contamination and temperature stress disrupt fish behaviour. Environmental Science & Technology 2020, 54(13), 8072–8082. [Google Scholar]
  71. Wlodkowic, D.; Bownik, A.; Leitner, C.; Stengel, D.; Braunbeck, T. Beyond the behavioural phenotype: Uncovering mechanistic foundations in aquatic eco-neurotoxicology. Science of The Total Environment 2022, 829, 154584. [Google Scholar] [CrossRef] [PubMed]
  72. Zhang, Y.; Li, X.; Liu, Z.; Zhao, X.; Chen, L.; Hao, G.; Ye, X.; Meng, S.; Xiao, G.; Mu, J.; Mu, X. The neurobehavioral impacts of typical antibiotics toward zebrafish larvae. Chemosphere 2023, 340, 139829. [Google Scholar] [CrossRef]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.
Prerpints.org logo

Preprints.org is a free preprint server supported by MDPI in Basel, Switzerland.

Subscribe

Disclaimer

Terms of Use

Privacy Policy

Privacy Settings

© 2026 MDPI (Basel, Switzerland) unless otherwise stated