Pesticide Residues In Agricultural Products Research Articles

Integrating transformer-based machine learning with SERS technology for the analysis of hazardous pesticides in spinach

This study introduces an innovative strategy for the rapid and accurate identification of pesticide residues in agricultural products by combining surface-enhanced Raman spectroscopy (SERS) with a state-of-the-art transformer model, termed SERSFormer. Gold-silver core-shell nanoparticles were synthesized and served as high-performance SERS substrates, which possess well-defined structures, uniform dispersion, and a core-shell composition with an average diameter of 21.44 ± 4.02 nm, as characterized by TEM-EDS. SERSFormer employs sophisticated, task-specific data processing techniques and CNN embedders, powered by an architecture features weight-shared multi-head self-attention transformer encoder layers. The SERSFormer model demonstrated exceptional proficiency in qualitative analysis, successfully classifying six categories, including five pesticides (coumaphos, oxamyl, carbophenothion, thiabendazole, and phosmet) and a control group of spinach data, with 98.4% accuracy. For quantitative analysis, the model accurately predicted pesticide concentrations with a mean absolute error of 0.966, a mean squared error of 1.826, and an R2 score of 0.849. This novel approach, which combines SERS with machine learning and is supported by robust transformer models, showcases the potential for real-time pesticide detection to improve food safety in the agricultural and food industries.

Microbial Fermentation as an Efficient Method for Eliminating Pyrethroid Pesticide Residues in Food: A Case Study on Cyfluthrin and Aneurinibacillus aneurinilyticus D-21.

The microbial fermentation of food has emerged as an efficient means to eliminate pesticide residues in agricultural products; however, the specific degradation characteristics and mechanisms remain unclear. In this study, a Gram-positive bacterium, Aneurinibacillus aneurinilyticus D-21, isolated from fermented Pixian Douban samples exhibited the capability to degrade 45 mg/L of cyfluthrin with an efficiency of 90.37%. Product analysis unveiled a novel cyfluthrin degradation pathway, involving the removal of the cyanide group and ammoniation of the ester bond into an amide. Whole genome analysis discovered the enzymes linked to cyfluthrin degradation, including nitrilase, esterase, carbon-nitrogen ligases, and enzymes associated with aromatic degradation. Additionally, metabolome analysis identified 140 benzenoids distributed across various aromatic metabolic pathways, further substantiating D-21's catabolic capability toward aromatics. This study underscores the exceptional pyrethroid degradation prowess of A. aneurinilyticus D-21, positioning it as a promising candidate for the biotreatment of pesticide residues in food systems.

Research Status in the Use of Surface-Enhanced Raman Scattering (SERS) to Detect Pesticide Residues in Foods and Plant-Derived Chinese Herbal Medicines.

Surface-enhanced Raman scattering (SERS) technology has unique advantages in the rapid detection of pesticides in plant-derived foods, leading to reduced detection limits and increased accuracy. Plant-derived Chinese herbal medicines have similar sources to plant-derived foods; however, due to the rough surfaces and complex compositions of herbal medicines, the detection of pesticide residues in this context continues to rely heavily on traditional methods, which are time consuming and laborious and are unable to meet market demands for portability. The application of flexible nanomaterials and SERS technology in this realm would allow rapid and accurate detection in a portable format. Therefore, in this review, we summarize the underlying principles and characteristics of SERS technology, with particular focus on applications of SERS for the analysis of pesticide residues in agricultural products. This paper summarizes recent research progress in the field from three main directions: sample pretreatment, SERS substrates, and data processing. The prospects and limitations of SERS technology are also discussed, in order to provide theoretical support for rapid detection of pesticide residues in Chinese herbal medicines.

Monitoring of pesticide residue in pistachio nut samples by LC/MS-MS

The presence of pesticide residues in agricultural products is one of the most important challenges to food safety. The use of pesticides in the cultivation of pistachios can lead to residues above the Maximum Residue Levels (MRLs). The current research focused on quantifying 112 pesticide residues utilizing Ultra High-Performance Liquid Chromatography tandem Mass Spectrometry (UHPLC-MS/MS). A modified quick, easy, cheap, effective, rugged, and safe“ (QuEChERS) method was used for sample preparation. The linearity of the method was investigated with the procedural calibration curve over six concentration levels ranging from 0.015 to 0.5 mg/kg. The method's repeatability at two levels, 0.1 and 0.3 mg/kg, was established, ranging from 0.5 % to 20 %. The limit of detection (LOD) and quantification (LOQ) of pesticides were around 0.003 mg/kg and 0.01 mg/kg, respectively. Acetamiprid and Thiacloprid were found at the permitted level in 7 and 3 out of the 20 samples.

Trends of pesticide residues in agricultural products in the Chinese market from 2011 to 2020

Pesticide residues in market products pose a serious threat to consumers' health. This study aimed to analyze pesticide residues in agricultural products in the Chinese market. According to the data on agricultural products exceeding maximum residue levels (MRLs) obtained by the market supervision administration, 5387 batches of agricultural products (BAPs) in the Chinese market from 2011 to 2020 were extracted. The basic information of the data, time, region, crops and pesticides were discussed. The characteristics and trends of unqualified pesticide residues (UQPRs) in the Chinese market were statistically analyzed. The results showed that the BAPs withUQPRs increased over time, mainly occurring in spring and autumn. Most of the crops with UQPRs were leafy crops, among which Leek and Celery accounted for 28.3% and 16.9% of the total, respectively. Meanwhile, the regions with the most BAPs were Shandong, Henan, and Chongqing. Combining the statistical results and analyzing the reasons, the occurrence of UQPRs can be reduced from three aspects: government, market, and farmers.

Different sized gold nanoparticles for array-based sensing of pesticides and its application for strawberry pollution monitoring

The use of pesticides plays an essential role in improving crop quality and yield, however, it causes air, water, and soil pollution and the residue of these pesticides in agricultural products threatens the ecosystem and human life. Therefore, it is highly desirable to develop rapid, simple, and cost-effective methods for regular monitoring of pesticide residues in agricultural products especially strawberry that is consumed fresh and unpeeled. In this study, gold nanoparticles (AuNPs) of varying sizes have been exploited as sensing units to design a non-enzymatic colorimetric sensor array for the detection and discrimination of various pesticides including; bifenazate (BF), paraquat (PQ), diazinon (DZ), thiometon (TM), and carbendazim (CD) and chlorpyrifos (CP). Because of their strong size- and environmentally-dependent properties, AuNPs with different sizes produced distinguished plasmonic patterns in the presence of pesticides at a vast range of concentrations (25–800 ng mL−1). Plasmonic patterns of sensor units have been analyzed by various data visualization (bar plots and heat maps) and pattern recognition methods (linear discriminant analysis (LDA)). The multivariate calibrations showed linear responses ranging from 50 to 800 ng mL−1 for carbendazim, chlorpyrifos, paraquat, and bifenazate and 25–800 ng mL−1 for diazinon and thiometon. The limit of detection (LOD) was calculated to be 17.7, 22.8, 22.4, 9.7, 7.4, and 23.8 ng mL−1 for carbendazim, chlorpyrifos, paraquat, diazinon, thiometon, and bifenazate respectively. Finally, the applicability of the designed sensor was evaluated in real samples comprising tap water, well water, soil, and fruit, leave, drainage water, and culture substrate of strawberry.

Mediterranean Plants as Potential Source of Biopesticides: An Overview of Current Research and Future Trends.

The development and implementation of safe natural alternatives to synthetic pesticides are urgent needs that will provide ecological solutions for the control of plant diseases, bacteria, viruses, nematodes, pests, and weeds to ensure the economic stability of farmers and food security, as well as protection of the environment and human health. Unambiguously, production of botanical pesticides will allow for the sustainable and efficient use of natural resources and finally decrease the use of chemical inputs and burden. This is further underlined by the strict regulations on pesticide residues in agricultural products and is in harmony with the Farm to Fork strategy, which aims to reduce pesticide use by 50% by 2030. Thus, the present work aims to compile the scientific knowledge of the last 5 years (2017-February 2023) regarding the Mediterranean plants that present biopesticidal effects. The literature review revealed 40 families of Mediterranean plants with at least one species that have been investigated as potential biopesticides. However, only six families had the highest number of species, and they were reviewed comprehensively in this study. Following a systematic approach, the extraction methods, chemical composition, biopesticidal activity, and commonly used assays for evaluating the antimicrobial, pesticidal, repellant, and herbicidal activity of plant extracts, as well as the toxicological and safety aspects of biopesticide formulation, are discussed in detail. Finally, the aspects that have not yet been investigated or are under-investigated and future perspectives are highlighted.

Transport and interaction mechanism of four pesticide residues from Chaenomeles speciosa across Caco-2 cells

The presence of multiple pesticide residues in agricultural production highlights the need for studying mixture interaction during transepithelial transport. This study applied the Caco-2 cell model to investigate the interaction of four pesticide residues (carbendazim, epoxiconazole, phoxim, and chlorpyrifos) in Chaenomeles speciosa during transepithelial transport. Results demonstrated that co-treatment with pesticide mixtures generally increased the cumulative transport amount of carbendazim and epoxiconazole by 0.32–1.60 times and 0.32–0.98 times, respectively, compared to individual treatments. Notably, the combination of carbendazim and epoxiconazole displayed a significant synergistic effect. The use of transporter inhibitors and molecular docking analysis provided insights into the interaction mechanism, suggesting that the competitive inhibition of MRP2 and/or BCRP binding via π-bonds contributed to the inhibition of BL-to-AP efflux and a significant increase in AP-to-BL influx of carbendazim and epoxiconazole. The results are of great theoretical significance and practical value for risk assessment of multiple pesticide residues in agricultural products.

Simultaneous Screening of 322 Residual Pesticides in Fruits and Vegetables Using GC-MS/MS and Deterministic Health Risk Assessments.

The development of efficient methods for evaluating pesticide residues is essential in order to ensure the safety and quality of agricultural products since the Republic of Korea implemented the Positive List System (PLS). The objective of this research was to establish a method for the simultaneous analysis of 322 pesticide residues in fruits and vegetables (such as coffee, potato, corn, and chili pepper), using the quick, easy, cheap, effective, rugged, and safe (QuEChERS) approach in combination with gas chromatography-tandem mass spectrometry (GC-MS/MS). This study introduces a robust, high-throughput GC-MS/MS method for screening the target pesticide residues in agricultural products, achieving the PLS criterion of 0.01 mg/kg LOQ. Despite some compounds not aligning with the CODEX recovery guideline, sufficient reproducibility was confirmed, attesting to the method's applicability in qualitative analyses. A health risk assessment conducted using estimated daily intake/acceptable daily intake ratios indicated low risks associated with product consumption (<0.035391%), thereby confirming their safety. This efficient method holds significant implications for the safe distribution of agricultural products, including during import inspections.

Pesticide Residues Detection in Agricultural Products

Abstract Pesticides have been the most often used substance in recent decades to protect agricultural goods from pests affecting farmers, especially in conventional agriculture. Pesticides are effective in preventing and removing pests. On the other hand, pesticides risk human health since they may be found in agricultural goods for an extended time. As a result, it is critical to have a robust analytical procedure in place to monitor pesticide residues in agricultural products. Chromatography, Raman spectroscopy, and Ultraviolet-visible (UV-VIS) - Near Infrared (NIR) are methods used to identify pesticide residues, and each has benefits. Additionally, a cutting-edge technique called hyperspectral imaging has recently been employed. This review paper discusses the most current application of those approaches, combined with machine learning and chemometrics, in identifying pesticide residues in agricultural goods such as crops, vegetables, and fruits. The approach's basic principles, benefits, and drawbacks will be briefly addressed. Our findings indicate that those methods provide precise and stable results for identifying pesticide residues in agricultural products. However, most of those methods are possessed a high initial cost, complex processes, time-consuming, which is inappropriate with the agricultural modern concept, especially related to smallholder farmers. Hence, shortly, a low-cost, portable, and highly accurate internet-connected device must be developed. Keywords: Pesticide residue, Chromatography, Raman spectroscopy, UV-VIS-NIR spectroscopy, Hyperspectral imaging

Investigation on Pesticide Residues in Agricultural Products in Domestic Markets Using LC-MS/MS and GC-MS/MS

Investigation on Pesticide Residues in Agricultural Products in Domestic Markets Using LC-MS/MS and GC-MS/MS

Concentration levels and risk assessment of organochlorine and organophosphate pesticide residue in selected cereals and legumes sold in Anambra State, south-eastern Nigeria

Abstract The levels of organochlorine and organophosphate pesticide residues in selected cereal crops (beans, cowpea, millet, maize, sorghum, and rice) purchased from major markets in Anambra, south-eastern Nigeria, were assessed and compared with established MRLs. The QuEChERS (quick, easy, cheap, effective, rugged, and safe) method was used for extraction and clean-up of pesticide residues. Thereafter detection and quantification were done using GC/MS. The result reveals that the analysed grain samples contained some organochlorine pesticides and organophosphates. The organochlorine was most dominant followed by the organophosphates. Organochlorine pesticide residues varied from 0.048 to 0.298 mg/kg in beans, BDL to 0.398 mg/kg in cowpea, 0.018–0.337 mg/kg in maize, 0.023–0.375 mg/kg in millet, 0.058–0.415 mg/kg in sorghum and 0.045–0.442 mg/kg in rice while organophosphate pesticide residue varied from BDL to 0.315 mg/kg in beans, BDL to 0.113 mg/kg in cowpea, BDL to 0.228 mg/kg in maize, BDL to 0.253 mg/kg in millet, BDL to 0.218 mg/kg in sorghum and BDL to 2.1 35 mg/kg in rice. Highest concentration of endosulphan II (0.442 mg/kg) was detected in rice, followed by aldrin (0.415 mg kg−1) in sorghum and endosulphan II (0.40 mg/kg) in sorghum. The pesticide toxicity index (PTI) was above one (1), whereas health index (HI) was less than one (1) and cancer risk were within USEPA reference guideline for crops indicating children will have greater health effect than adults. Hence, strict monitoring and control of pesticide residues in agricultural products is advocated.

Concentration evaluation and risk assessment of pesticide residues in selected vegetables sold in major markets of Port Harcourt South-South Nigeria

Abstract Concentration levels and health risk assessment of residues of organochlorine and organophosphate pesticides in four commonly vegetables (Cucumber, carrot, cabbage, and eggplant) collected from major markets of Port Harcourt city, South-south Nigeria were assessed. The collected samples were analysed using QuEChERS (quick, easy, cheap, effective, rugged, and safe) extraction method by gas chromatography coupled with Electron Capture Detector (ECD). Pesticide concentrations were compared with UK/EU maximum residual limits (MRLs). Health risk estimates were analysed using estimated daily intake (EDI), hazard quotient (HQ), and hazard ratio (HR) for children (16.7 kg) and adults (60 kg) weight groups. The results of this study showed that 80% of the vegetable samples contained detectable pesticide residues, of which 70% had residues that exceeded MRLs while 20% had residues below detectable levels. The highest concentrations of HCH residues are present in cabbage with a concentration of 0.25 ± 0.15 mg/kg for α-HCH while the least are present in eggplant with concentration of 0.038 ± 0.025 mg/kg in lindane. Pirimophos-methyl was detected in cucumber at 0.017 mg/kg while parathion and isofenfos was detected only in eggplants at concentration of 0.042 mg/kg and 0.022 mg/kg respectively. Concentrations of parathion, chlorpyrifos, and pirimophos-methyl residues were lower than MRLs in all the detected vegetable samples analysed. Non-carcinogenic health risk estimates for the children consumer groups showed that mevinfos, p, pʹ DDD, aldrin, and heptachlor epoxide detected in eggplant, carrot, and cabbage had HQ &gt; 1. While for adults, only p, pʹ DDD and heptachlor epoxide revealed non-carcinogenic effect in cabbage. Risk was highest for child consumers. However, most of the pesticide residues were less than 1 for the HQs value which is indicative of insignificant health risk. Human risk estimations for the carcinogenic health effect for the studied vegetables showed that lindane and delta HCH could pose carcinogenic health risks to adult, while aldrin, dieldrin, heptachlor, α HCH, β HCH, delta HCH, and heptachlor epoxide could pose carcinogenic health risks to children. The HRI values in some of the detected residues indicate that the cancer benchmark concentrations exceeded the EDI for the respective organochlorine pesticide in the vegetable samples, thus raising serious concerns of possible carcinogenicity. Non carcinogenic and carcinogenic risk assessment of organochlorine pesticide residues in the studied vegetable indicates health threat. Hence, strict monitoring and control of pesticide residues in agricultural products is being suggested, to protect consumers, especially the children who are vulnerable to the adverse effects of pesticides.

Whole genome sequencing and transcriptomics-based characterization of a novel β-cypermethrin-degrading Gordonia alkanivorans GH-1 isolated from fermented foods

Beta-cypermethrin (β-CY) is an organic compound that is widely used as a synthetic pesticide in agriculture and family. Excessive accumulation of β-CY inevitably causes environmental pollution, which has led to food safety and human health concerns. Identification of microorganisms from food sources that are capable of β-CY biodegradation may help prevent pollution due to β-CY accumulation. Here, Gordonia alkanivorans GH-1, which was isolated from the traditional Sichuan fermented food, Pixian Doubanjiang, could not only degrade 82.76% of 50 mg/L β-CY at 96 h, but also degraded the intermediate degradation products including dibutyl phthalate (DBP), benzoic acid (BA) and phenol (Ph). This bacterial strain, thus, effectively improved the efficiency of removal of β-CY and its related metabolites, without being limited by toxic intermediates. Whole genome sequencing and transcriptomics analyses have demonstrated that the bacteria affected the transcription of genes related to cell response and material transport under the stress induced by β-CY, and thereby promoted degradation and transformation of β-CY. Moreover, a complete pathway of β-CY degradation is proposed based on the key genes involved in degradation. This study provides important theoretical significance and reference value for eliminating pesticide residues in agricultural products and food to ensure food safety.

Investigating the effect of dichlorvos and acetamiprid residues in greenhouse cucumber on biochemical parameters and protective role of colostrum.

Across the world, people are exposed to pesticide residues in agricultural products. Various materials are used to deal with effects of these residues. Considering the wide use of dichlorvos and acetamiprid in crops, pesticide residues in cucumber and its effects on the biochemical parameters of mice were calculated, and the protective role of donkey colostrum (DC) to deal with the pesticide effects was investigated. Dichlorvos (4 ml/l) and acetamiprid (0.5 g/l) residues, after spraying cucumber plants, were 0.5 and 1.5 mg/kg, respectively. For 60 days, the mentioned doses were used in the drinking water of 4 groups of mice. No substances were added to mice drinking water in the control group while dichlorvos and acetamiprid groups received 0.5 and 1.5 mg/kg of pesticide, respectively, and the mixed group received a combination of two pesticides. In order to investigate the protective role of DC, 0.2 ml of colostrum was given to each of the groups in a similar division and timing. In the biochemical sector, albumin (control 2.96, dichlorvos 1.86, acetamiprid 2.00, and mix 1.6 g/dl) and total protein levels reduced. Alanine aminotransferase (control 41.8, dichlorvos 56.2, acetamiprid 58.4, and mix 68 iu/l) and aspartate aminotransferase levels increased. In the protective role of colostrum, albumin (control 2.96, dichlorvos 2.74, acetamiprid 2.80, and mix 2.50 g/dl) and alanine aminotransferase changes (control 41.8, dichlorvos 43.4, acetamiprid 46.0, and mix 52.2 iu/l) were recorded (P = 0.0001). Adding pesticides to mice drinking water causes liver disorders and DC can be effective in protecting these damages.

Determination of organochlorine and organophosphorus pesticide residues in tomato, potato, and pineapple samples of selected farmlands in southwest Ethiopia

ABSTRACT. In this study, the residual concentrations of some organophosphate and organochlorine pesticides were determined in tomato, potato, and pineapple samples from selected farmlands of Jimma and Kefa Zones, Southwest of Ethiopia. The QuEChERS procedure, AOAC-2007, was used for extraction of the pesticides from the samples prior to their determinations by a gas GC-ECD. Pesticides including dichlorodiphenyltrichloroethane, endrin, and dieldrin were not detected in all studied samples. Dimethoate was detected only in Mana and Saka Buyo Qacama tomato samples. Likewise, malathion was detected only in the Saka Buyo Qacama tomato sample. The residual concentrations of most of the studied pesticides were below their MRLs set in EU guideline. However, the recorded residual concentrations of dibutyl chlorendate and chloroflurenol-methyl pesticides were above the EU general default MRL. The percent recoveries studied by spiking known concentrations of the analytes ranged from 71.22–121.56%. However, the recoveries of chloroflurenol-methyl and chlorpyrifos in the potato sample were 65.65 and 67.90%, respectively. One-way ANOVA results (p ≤ 0.05) indicated the presence of significant variations in the concentrations of the detected pesticides among the sampling sites. Generally, the findings showed that regular monitoring of pesticide residues in agricultural products of the area is needed.&#x0D; &#x0D; KEY WORDS: Organophosphates and organochlorines pesticides, QuEChERS, Tomato, potato, and pineapple samples, GC-ECD&#x0D; &#x0D; Bull. Chem. Soc. Ethiop. 2023, 37(1), 23-33. &#x0D; DOI: https://dx.doi.org/10.4314/bcse.v37i1.3

Copper-Modified Double-Emission Carbon Dots for Rapid Detection of Thiophanate Methyl in Food.

The detection of food safety and quality is very significant throughout the food supply. Stable dual-emission copper-modified fluorescent carbon dots (Cu-CDs) were successfully synthesized by a simple and environment-friendly hydrothermal, which was used for the real-time detection of pesticide residues in agricultural products. By optimizing the reaction conditions, Cu-CDs showed two emission peaks, with the highest fluorescence intensities at 375 and 450 nm. The structure, chemical composition and optical properties of Cu-CDs were investigated by XRD, TEM and IR. The results showed that thiophanate methyl (TM) could induce fluorescence quenching of Cu-CDs with no other ligands by the electron transfer through π-π stacking. The synchronous response of the dual-emission sensor enhanced the specificity of TM, which showed remarkable anti-interference capability. The fluorescence quenching degree of Cu-CDs had a good linear relationship with the TM concentration; the low detection limit for a pear was 0.75 μM, and for an apple, 0.78 μM. The recoveries in the fruit samples were 79.70-91.15% and 81.20-93.55%, respectively, and the relative standard deviations (RSDs) were less than 4.23% for the pear and less than 3.78% for the apple. Thus, our results indicate the feasibility and reliability of our methods in detecting pesticide residues in agricultural products.

Flexible and Transparent SERS Substrates Composed of Au@Ag Nanorod Arrays for In Situ Detection of Pesticide Residues on Fruit and Vegetables

Due to the increasing importance of food quality/safety control, there is an imminent need to develop efficient methods for the rapid detection of pesticide residues in agricultural products. Herein, we proposed a simple and rapid detection approach to the in situ detection of residual pesticides on fruit/vegetable using surface-enhanced Raman spectroscopy (SERS). Flexible and transparent SERS substrates were fabricated by transferring Au@Ag core-shell nanorods (Au@Ag NRs) arrays to silicone membranes, with the single-layer Au@Ag NRs arrays prepared by the liquid–liquid interface self-assembly method. The as-prepared SERS sensor showed excellent SERS activity and repeatability, and it could be readily pasted onto the surface of fruit and vegetables for residual pesticide detection. For the inspection of thiram in contaminated strawberries, apples, and mushrooms, the limit of detection (LOD) could reach 2 ng/cm2 with high measurement recovery and reproducibility. In general, this work provides an effective way for the preparation and application of flexible and transparent SERS substrates in food-safety control.

Exposure assessment for pesticide residues in agricultural products consumed in the Republic of Korea during 2016-2020.

Pesticide residues in food comprise compounds such as insecticides, fungicides, herbicides, miticides, and plant activators. The insecticides diazinon (O, O-diethyl O-2-isopropyl-6-methylpyrimidin-4-yl phosphorothioate) and malathion (O, O-dimethyl dithiophosphate of diethyl-mercaptosuccinate) are classified as probably carcinogenic (Group 2A) and the fungicides chlorothalonil (2,4,5,6-tetrachloro-1,3-benzenedicarbonitrile) and hexachlorobenzene (pentachlophenyl chloride) as possibly carcinogenic to humans (Group 2B) by the International Agency for Research on Cancer under the World Health Organization. In this study, gas chromatographic and gas chromatography-tandem mass spectrometric analyses were used to determine the concentrations of pesticide residues in agricultural products and assess the effects of chronic human exposure to pesticide residues through the consumption of agricultural products during 2018-2020. Food consumption data were obtained from the Korea National Health and Nutrition Examination Survey of 2016-2018. The chronic exposures determined using mean consumption data for the whole population and mean concentrations of the pesticide residues were 5.15E-11 to 2.08E-05 [lower bound (LB)] and 2.41E-07 to 4.69E-05 mg/kg bw/day [upper bound (UB)], corresponding to 0.00012-2.16% of the hazard index (HA). Exposures to pesticide residues, calculated using the 95th percentile of the consumption data, were 0-8.76E-05 (LB) and 9.26E-07 to 1.56E-04 mg/kg bw/day (UB), corresponding to 0.00045-9.41% of the HA. Based on the result of current exposure assessment, it could be considered that the pesticide residues in agricultural products are properly controlled by the regulatory authorities.

Monitoring of pesticide residues in fresh fruits and vegetables available in Nigerian markets and assessment of their associated health risks.

The presence of pesticide residues in agricultural products is posing serious health concerns for consumers. This study monitored the concentrations of pesticide residues in some selected fruit and vegetables, and their potential health risks were also assessed. Organochlorine (OCPs) and organophosphate (OPPs) residues were extracted and quantified with a gas chromatography-pulsed flame photometric detector. A total of 38 pesticide residues were identified and the results showed mean concentration (mg/kg fresh weight) of (OCPs) residues ranging from 0.02 to 0.37 and (OPPs) residues ranging from 0.01 to 0.33. The concentrations (mg/kg) of isodrin, heptachlor, dicofol, prothiophos, profenofos and dichlorvos were above the maximum residue limit. The non-carcinogenic health risk estimates revealed a possible potential health risk from consumption of the fruits and vegetables in adults and children for most of the pesticide residues. The cancer risk assessment estimates gave values below 10-6 which suggests no probable cancer risk. As a result of the increasing trend in pesticide use in Nigeria, routine monitoring of pesticide residues in agricultural produce is a necessity to ensure the safety of consumers.