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Optimization, Chromatographic Quantification, and Socio-Environmental Assessment of Perfluorooctanoic Acid (PFOA) in Groundwater Infrastructure across Industrial Punjab

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09 October 2026

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09 October 2026

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Abstract
Drinking water quality in industrializing regions is deteriorating due to the unregulated discharge of chemical effluents. Perfluorooctanoic acid is a highly persistent, bioaccumulative contaminant linked to severe toxicological outcomes, yet regulatory guidelines in regional water networks remain unavailable. This study optimized an extraction methodology to detect and quantify perfluorooctanoic acid contamination across municipal tap water and deep tube well groundwater infrastructure in Punjab, Pakistan, alongside assessing community health profiles. Drinking water samples were collected across active industrial estates and quantified using High-Performance Liquid Chromatography. Concurrently, a structured questionnaire was administered to residents within the study zones to evaluate water quality perceptions and waterborne disease prevalence. Chromatographic analysis revealed extensive aquifer contamination, reaching maximum concentrations of 33.83 milligrams per liter in tap water and 33.92 milligrams per liter in deep tube wells, vastly exceeding international health advisories. The community survey indicated a high prevalence of local health disorders, with diarrhea reported by 50% of respondents, followed by hepatitis at 25% and typhoid at 15%. These findings underscore an urgent need for implementing advanced membrane treatment interventions, establishing mandatory local regulatory thresholds, and executing public awareness campaigns to safeguard regional public health.
Keywords: 
Chromatographic quantification
;  
groundwater infrastructure
;  
industrial pollution
;  
perfluorooctanoic acid
;  
water quality
Subject: 
Environmental and Earth Sciences  -   Water Science and Technology

Introduction

Water is a critical resource directly associated with public health, economic development, and community well-being. In rapidly industrializing nations, municipal and groundwater systems face unprecedented anthropogenic stress. In Pakistan, a vast majority of the population relies on unmonitored or compromised water grids, with regional variations showing unsafe usage at 72% in Balochistan, 46% in Khyber Pakhtunkhwa, and 24% in Sindh (Dawn News, 2011). The nation ranks among the most water-scarce territories globally, with baseline reporting indicating that up to 79% of available municipal water resources are fundamentally unsafe for human consumption (Pakistan Council of Research in Water Resources [PCRWR], 2005). Nationally, the primary infrastructure vectors for domestic water acquisition consist of direct tap links (32%), shallow hand pumps (28%), automated motor pumps (27%), and traditional dug wells (4%) (Pakistan Social and Living Standards Measurement [PSLM], 2010).
Unregulated industrial expansion acts as the primary driver of this aquatic degradation. Out of thousands of registered manufacturing units in the region, a significant portion are classified as highly polluting sectors (Sial et al., 2006). These facilities discharge heavily contaminated chemical waste effluents—loaded with complex organic compounds, synthetic residues, and heavy metals—directly into unlined drainage channels, nearby agricultural land, or public surface water bodies without prior treatment (Nasrullah et al., 2006). These urban pollutants rapidly leach downward through the soil profile, breaching shallow boundaries and directly contaminating the underlying public groundwater aquifers (Ullah et al., 2009).
Among these emerging chemical threats, poly- and perfluoroalkyl substances (PFAS) have gained critical global attention due to their extreme environmental persistence and toxicological profiles. Perfluorooctanoic acid (PFOA) and perfluorooctane sulfonate (PFOS) are synthetic organic chemicals widely utilized across industrial sectors in the production of fluoropolymers for nonstick cookware, food packaging, water-repellent textiles, electronic coatings, and specialized firefighting foams (Jahnke and Berger, 2009). These fluorinated compounds possess exceptionally strong carbon-fluorine bonds that resist standard physical, chemical, photolytic, and biological degradation pathways (Prevedouros et al., 2006; Takagi et al., 2011). Due to extensive historical manufacturing, high solubility, low volatility, and structural stability, PFOA and PFOS act as persistent global pollutants across surface and groundwater systems (Bao et al., 2012; Moody et al., 2003).
Unlike traditional persistent organic pollutants that partition into fatty tissues, PFAS bind to human serum proteins and bioaccumulate heavily in vital organs, including the liver and kidneys (Environmental Health Perspectives [EHP], 2007). Chronic exposure pathways via contaminated drinking water networks are associated with severe public health outcomes, including endocrine disruption, thyroid disorders, immune suppression, hypercholesterolemia, and clear oncogenesis (Barry et al., 2013; DeWitt et al., 2015). While voluntary phase-outs by primary global manufacturers in North America and Europe led to subsequent declines in human plasma levels in those regions (Olsen et al., 2007), increased production across industrial hubs in developing Asian markets has counterbalanced global emissions, maintaining high exposure risks (Wang et al., 2014).
Exposure to PFOA concentrations as low as 10 to 40 ng/L through finished drinking water supplies can elevate human serum levels by approximately 25% to 100% over a multi-year period (Post et al., 2012). Compounding this hazard, PFOA completely resists conventional advanced oxidation processes utilized in municipal water treatment plants (Schroder and Meesters, 2005). While global regulatory bodies have established strict maximum contaminant levels for PFAS, the total absence of regulatory thresholds or baseline monitoring frameworks in developing nations allows industries to operate with complete opacity.
Therefore, this study was designed to optimize an extraction methodology and execute the quantitative chromatographic determination of PFOA across municipal tap water and deep tube well groundwater infrastructure within major industrial epicenters in Punjab. By combining high-performance liquid chromatography (HPLC) with a socio-environmental household field survey, this research seeks to establish critical regional baseline data, isolate primary exposure pathways, and map community health vulnerabilities to inform future water safety regulations and treatment interventions.

Methods

Study Area and Spatial Sampling Framework

A field and laboratory monitoring framework was executed over an eight-month duration between January and August 2018 to evaluate PFOA occurrence profiles within municipal and groundwater supply infrastructure. Systematic environmental tracking and community sampling were situated across three major high-output industrial clusters within Punjab, Pakistan: (i) the Quaid-e-Azam Industrial Estate, Lahore; (ii) the Sundar Industrial Estate, Lahore; and (iii) the localized industrial footprint of Dhantpura, Sheikhupura. These specific geographic zones were selected due to their dense concentration of high-volume chemical manufacturing, textile refineries, electronics assembly, and polymer treatment facilities capable of acting as point sources of groundwater pollution.
Field extraction utilized a random sampling design across active municipal infrastructure nodes. A total of 15 unique drinking water pathways were isolated, capturing varying domestic exposure vectors: seven tap water connections, four deep tube wells, and two operational shallow hand pumps. Unique alpha-numeric tracking tags were assigned across the nodes to ensure absolute chain-of-custody: Quaid-e-Azam Industrial Estate vectors were designated as 1Q–8Q, Sundar Industrial Estate as 1S–2S, and Dhantpura, Sheikhupura locations as 1K–4K. All water samples were collected directly into pre-sterilized, high-density linear plastic bottles to eliminate fluoropolymer cross-contamination from standard sampling caps, sealed hermetically, and transported under climate-controlled conditions (4 °C) to the laboratory for downstream processing.

Quality Control and Apparatus Preparation

To completely eliminate background contamination from legacy organic residues or plasticizer interference, a strict apparatus pre-treatment protocol was enforced. All analytical glassware was thoroughly washed with laboratory-grade detergent, rinsed with high-purity acetone to strip persistent chemical markings, and washed with distilled water prior to oven drying. Glassware was then subjected to acid leaching via sequential rinsing with diluted nitric acid (HNO3) and diluted hydrochloric acid (HCl), followed by a final rinse with deionized water, and remained hermetically sealed until experimental initialization.

Socio-Environmental Questionnaire Deployment

To cross-reference quantified chemical profiles with real-world exposure patterns and public health outcomes, a structured socio-environmental questionnaire was developed and deployed within the adjacent residential sectors. Sampling targets focused explicitly on household mothers and housewives to accurately capture centralized domestic water procurement habits, daily ingestion rates, and water treatment behaviors. Evaluated parameters included primary water infrastructure dependencies, perceived organoleptic properties (odor presence, taste profile satisfaction, and visible color changes), and the active household prevalence of chronic waterborne or systemic clinical disorders.

Sample Extraction and Chromatographic Conditions

Analytical grade PFOA chemical standard (96% purity) was obtained via Sigma-Aldrich (Steinheim, Germany). Primary liquid standard stock solutions were prepared by dissolving 1.0 g of crystalline PFOA powder into 10 mL of distilled water. Secondary working standard concentrations (10µg/ L) were produced by diluting a 100µg/ L aliquot of primary stock solution into 10 mL of distilled water for instrument calibration.
For environmental sample extraction, a 100 mL volume of raw water was thermalized in a beaker until volume mass concentrated tenfold to a 10 mL baseline. A 5.0 mL volume of pure methanol was introduced, and the matrix was transferred to a digital water bath until complete precipitation yielded visible solid white residues. The resulting chemical residue was reconstituted via the addition of 10 mL of acetonitrile and 5.0 mL of distilled water before High-Performance Liquid Chromatography (HPLC) injection.
Chemical separations were performed utilizing a Waters 600 controller equipped with a Waters 600 pump infrastructure and a Waters 2996 Photodiode Array Detector configured to an optimized absorbance wavelength of 262 nm. Chromatographic retention was executed on a reversed-phase C18 stationary column (2.1mm×50mm,1.7µm) held at a controlled core temperature of 50 °C. The mobile phase system consisted of an aqueous eluent A (2mM ammonium acetate in distilled water) and an organic eluent B (2mM ammonium acetate in methanol) operating at a stable fluid velocity of 0.4 mL/min. Chromatographic elution utilized an optimized gradient profile: initiating at 10% B (0–0.5 min), scaling linearly to 25% B at 1.0 min, escalating to 85% B at 6.0 min, and maximizing to 100% B at 7.0 min, before re-equilibrating back to 10% B within a 1.0-minute window, followed by a 1.0-minute baseline holding phase. Quantifications of PFOA concentrations (mg/L) within the target water samples were derived by comparing peak area responses against known standard calibration matrices using the following mathematical relationship (Al-Daghri et al., 2008):

Concentration of PFOA (mg/L) = Conc. of Standard (mg/L) × Area (sample)

Area (standard)
Ethical Considerations
Verbal informed consent was formally obtained from all household participants prior to questionnaire deployment, ensuring absolute data anonymity and confidentiality. Basic calculations, calibration metrics, and descriptive statistical charts were managed using Microsoft Excel architecture. No automated artificial intelligence applications or large language models were utilized for field data collection, sample extraction modeling, or primary statistical figure generation during this study.

Results and Discussion

Infrastructure Availability and Consumption Vectors

Socio-environmental tracking across the three target clusters successfully matched the 15 infrastructure nodes with residential field datasets. Table 1 outlines the baseline availability of localized drinking water infrastructure within the direct vicinity of the surveyed populations. Across both the Quaid-e-Azam Industrial Estate and Dhantpura networks, infrastructure access was dominated by centralized household water supply connections, showing 30% and 20% spatial availability, respectively. Conversely, the residential community bordering the Sundar Industrial Estate relied primarily on public tap water networks (10%) over dedicated household piping lines or public filter plant installations. No operational deep boreholes or traditional well configurations were present within the immediate residential boundaries.
These structural configurations directly shaped the actual daily water consumption habits of the local population (Table 2). In the Quaid-e-Azam Industrial Estate, household water connections served as the primary drinking source for 25% of respondents, although a significant segment (20%) actively utilized decentralized public filtration plants. Public tap networks remained the primary exposure pathway for 10% of residents living near the Sundar Industrial Estate, while household connections were heavily preferred by families in the Dhantpura zone (15%).

Organoleptic Tracking and Local Epidemiological Profiles

Household survey tracking revealed high community dissatisfaction regarding finished water quality parameters (Table 3). Sixty percent of respondents reported explicit issues with the smell of their daily drinking water supplies, and 45% evaluated the overall taste as highly unsatisfactory. While the physical appearance of the water was deemed clear by most households (65%), a notable 35% described their municipal water supply as cloudy or noticeably dirty.
The clinical disease tracking matrix identified severe local burdens of waterborne illnesses among the surveyed households. Active cases of diarrhea constituted the largest health emergency, accounting for 50% of documented local health disorders, followed by clinical cases of hepatitis (25%) and typhoid outbreaks (15%). In terms of daily water ingestion volume, 70% of respondents fell within a baseline consumption rate of 1–2 L per day, while 20% consumed 2–3 L, and only 10% ingested 3–4 L daily.

High-Performance Liquid Chromatographic (HPLC) Quantification of PFOA

The chromatographic separation of Perfluorooctanoic acid (PFOA) via reversed-phase HPLC was stable, resolving at a specific compound retention time of 18.235 minutes. The analytical calculations revealed severe, heterogeneous concentrations of PFOA spreading across the industrial municipal water grids, frequently violating the historical reference safety limit of 0.01 mg/L established by the Health Protection Agency (Health Protection Agency [HPA], 2007), as displayed in Table 4.
The geographical tracking showed the highest contaminant severity within the flat, low-sloped terrains characterizing the South and South-West boundaries of Lahore. Groundwater matrices within the Sundar Industrial Estate and specific sectors of the Quaid-e-Azam Industrial Estate demonstrated extreme pollutant loads compared to the North-West tracking nodes in Dhantpura, where PFOA values dropped below the limit of instrument detection.
When separating data based on infrastructure design, tube well samples extracted from deep aquifers showed the most severe contamination profiles. The absolute highest concentration recorded in the study was discovered in a deep tube well aquifer at the Quaid-e-Azam Industrial Estate (Sample 6Q: 33.9226 mg/L), representing an environmental breach thousands of times higher than international safety standards. Tap water networks also displayed severe accumulation profiles, peaked by Sample 2S in the Sundar Industrial Estate at 33.8337 mg/L. Shallow aquifer layers accessed via local hand-pump equipment (Samples 8Q and B) as well as all municipal vectors monitored across the Dhantpura, Sheikhupura footprint (1K–4K) showed no detectable PFOA concentrations.
The analytical determinations executed in this study confirm severe, heterogeneous concentrations of PFOA across municipal drinking water infrastructure in Punjab, frequently violating international reference safety guidelines. These outcomes align with global literature documenting the extensive environmental encroachment of perfluorinated chemicals across urban and industrial grids. For instance, high concentrations of PFOA have been observed in surface waters and municipal supplies across Germany, where industrial contaminants entered public networks following bank filtration of the Moehne and Ruhr rivers (Skutlarek et al., 2006). Similarly, comprehensive testing of tap and bottled water in major Southeast Asian metropolises revealed extensive contamination, with the tap water network of Bangkok showing the highest PFOA concentrations in the region (Kunacheva et al., 2010). In the United States, elevated PFOA levels across New York surface waters were directly tied to industrial wastewater discharges from facilities heavily utilizing telomer alcohols and fluoropolymers (Sinclair et al., 2006). Widespread tap water contamination has also been confirmed across urban grids in Japan, China, Sweden, Canada, Vietnam, and Malaysia (Lien et al., 2006).
The extreme concentration profiles documented in our groundwater samples highlight the unique subsurface mobility of fluorinated organics. Due to its exceptional water solubility and chemical stability, PFOA easily migrates through the soil profile via industrial leachate, causing extensive, long-term groundwater contamination that threatens both ecological networks and human health (Sepulvado et al., 2011; Xiao et al., 2015). Furthermore, PFOA concentrations have been shown to increase with depth, indicating an aggressive downward vertical migration through the soil matrix (Xiao et al., 2015). This mechanism explains why deep tube well samples in our study exhibited the most severe contamination profiles, confirming that deep, confined aquifers are heavily compromised. Similar configurations have been recorded by the New Jersey Department of Environmental Protection, which detected widespread PFOA throughout both unconfined and confined groundwater layers near industrial zones (NJDEP, 2007). This deep-aquifer vulnerability poses a severe public health hazard; longitudinal tracking of communities consuming water from contaminated wells confirmed a direct correlation between well water concentrations and elevated PFOA levels in human blood plasma (Weiß et al., 2012). Parallel contamination pathways have also been mapped in high-volume aquatic systems internationally, such as the Llobregat River basin (Flores et al., 2013).
Epidemiological and toxicological data explicitly link PFOA exposure to severe systemic health outcomes, including thyroid disorders, hypercholesterolemia, pregnancy-induced hypertension, pre-eclampsia, elevated liver enzymes, and profound immune suppression marked by diminished vaccine response (DeWitt et al., 2015; Grandjean et al., 2012; Vestergren and Cousins, 2009). Chronic consumption of PFOA-contaminated drinking water is also correlated with elevated blood cholesterol levels in pediatric cohorts (DeWitt et al., 2015). Most critically, a positive relationship exists between PFOA exposure and oncogenesis, specifically kidney and testicular tumors in humans, alongside elevated risks of prostate cancer among occupationally exposed workers (Fletcher, 2017; Gilliland and Mandel, 1993; International Agency for Research on Cancer [IARC], 2016). Clear correlations have also been established between serum PFOA levels and elevated serum lipids, which directly accelerate the incidence of cardiovascular and ischemic heart diseases within exposed communities (Steenland et al., 2010). Furthermore, gender-specific epidemiological tracking has demonstrated a strong association with thyroid disease development, particularly in women and children (Winquist and Steenland, 2014). While our community survey indicated high local rates of diarrhea (50%), hepatitis (25%), and typhoid (15%), these acute waterborne conditions likely represent a dual burden of microbial contamination and chemical stress within the unmonitored infrastructure.

Conclusions

This study was undertaken to evaluate the occurrence, concentration profiles, and public health risk indicators of perfluorooctanoic acid across municipal drinking water infrastructure within major industrial epicenters in Punjab, Pakistan. It was established that groundwater networks are severely compromised, with maximum concentrations reaching 33.83 mg/L in tap water lines and 33.92 mg/L in deep tube well aquifers, vastly exceeding international health advisories. Socio-environmental survey tracking identified a severe public health burden among the exposed population, characterized by high rates of waterborne conditions including diarrhea (50%), hepatitis (25%), and typhoid (15%), confirming that unmonitored industrial discharges create dangerous chemical pathways into consumer grids.
Based on these outcomes, municipal water authorities must immediately implement advanced remediation technologies, including granular activated carbon and high-pressure reverse osmosis membranes, capable of stripping perfluorinated variants during filtration processing. National regulatory agencies must establish mandatory maximum contaminant levels for PFAS compounds to replace the current lack of oversight and enforce zero-discharge limits for chemical manufacturing plants. Furthermore, interlaboratory comparison trials should be formalized to ensure the analytical precision of regional monitoring operations, and structured community awareness seminars must be executed to educate the general public regarding domestic chemical filtration protocols.

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Table 1. Spatial Distribution and Availability of Water Infrastructure Near Sampling Sites. 
Table 1. Spatial Distribution and Availability of Water Infrastructure Near Sampling Sites. 
Industrial Location Household Water Supply (%) Public Tap Water (%) Filter Plant Water (%) Bore / Well Water (%)
Quaid-e-Azam Industrial Estate 30 10 10 0
Sundar Industrial Estate 5 10 5 0
Dhantpura 20 5 5 0
Table 2. Primary Water Infrastructure Utilized for Daily Human Consumption. 
Table 2. Primary Water Infrastructure Utilized for Daily Human Consumption. 
Industrial Location Household Water Supply (%) Public Tap Water (%) Filter Plant Water (%) Bore / Well Water (%)
Quaid-e-Azam Industrial Estate 25 10 20 0
Sundar Industrial Estate 5 10 5 0
Dhantpura 15 10 5 0
Table 3. Perceived Organoleptic Quality, Ingestion Rates, and Disease Prevalence. 
Table 3. Perceived Organoleptic Quality, Ingestion Rates, and Disease Prevalence. 
Observed Consumer Parameter Category Sub-Type Prevalence Value (%)
Perceived Water Odor Odor Detected (Yes) 60
No Odor Detected (No) 30
Organoleptic Taste Satisfactory 55
Not Satisfactory 45
Physical Appearance Visually Clear 65
Cloudy / Contaminated 35
Prevalent Health Disorders Diarrhea 50
Hepatitis 25
Typhoid 15
Intestinal Diseases 0
Daily Fluid Consumption 1–2 Liters 70
2–3 Liters 20
3–4 Liters 10
More than 4 Liters 0
Table 4. High-Performance Liquid Chromatographic (HPLC) Quantification of PFOA. 
Table 4. High-Performance Liquid Chromatographic (HPLC) Quantification of PFOA. 
Sample Node Infrastructure Type Sample Peak Area Standard Peak Area Standard Conc. (mg/L) Quantified PFOA (mg/L) HPA Advisory Limit (mg/L)
1S Tube Well (Sundar) 15,240 76,483 0.01 1.9926 0.01
2S Tap Water (Sundar) 258,770 76,483 0.01 33.8337 0.01
1Q Tap Water (Quaid) 1,616 76,483 0.01 0.2113 0.01
2Q Tap Water (Quaid) — — — 0.0000 0.01
3Q Tube Well (Quaid) 6,672 76,483 0.01 0.8724 0.01
4Q Tap Water (Quaid) — — — 0.0000 0.01
5Q Tap Water (Quaid) 2,343 76,483 0.01 0.3063 0.01
6Q Tube Well (Quaid) 259,450 76,483 0.01 33.9226 0.01
7Q Tube Well (Quaid) 6,111 76,483 0.01 0.7990 0.01
8Q Hand Pump (Quaid) — — — 0.0000 0.01
B Hand Pump (Quaid) — — — 0.0000 0.01
1K Tap Water (Dhantpura) — — — 0.0000 0.01
2K Tube Well (Dhantpura) — — — 0.0000 0.01
3K Tap Water (Dhantpura) — — — 0.0000 0.01
4K Tap Water (Dhantpura) — — — 0.0000 0.01
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