Publications by authors named "Vahideh Mahdavi"

11 Publications

  • Page 1 of 1

Evaluation of pesticide residues and risk assessment in apple and grape from western Azerbaijan Province of Iran.

Environ Res 2021 Aug 12;203:111882. Epub 2021 Aug 12.

Iranian Research Institute of Plant Protection (IRIPP), Agricultural Research, Education and Extension Organization (AREEO), P.O. Box 1475744741, Tehran, Iran.

West Azerbaijan, especially the city of Urmia, is the center of Iranian apple and grape production hence the importance of this, residues of 85 pesticides in these products were investigated using modified QuEChERS extraction followed by UHPLC-MS/MS technique. Residues of 17 different pesticides detected in some apple samples. In grape sample only 7 pesticides detected. The levels of the residues found in all apple and grape samples were below the maximum residue levels (MRLs) of Iran, except for iprodione. Health risk assessment associated with pesticide residues in apples and grapes were estimated by hazard quotient (HQ) and hazard index (HI), which indicated that the HI value was lower than 1 in adults and children due to apple and consumption. HI in adults and children were 0.012 and 0.054 in apple; 0.001 and 0.003 in grape samples, respectively. Although the health risk assessment showed that the consumers are not at considerable risk but due to pesticide residue, implement control plans to manage the proper application of this pesticide, or replace it with safer alternatives in apple and grape is required.
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http://dx.doi.org/10.1016/j.envres.2021.111882DOI Listing
August 2021

Preparation and evaluation of various banana-based biochars together with ultra-high performance liquid chromatography-tandem mass spectrometry for determination of diverse pesticides in fruiting vegetables.

Food Chem 2021 Oct 12;360:130085. Epub 2021 May 12.

Department of Chemistry, Sharif University of Technology, P.O Box 11155-9516, Tehran, Iran. Electronic address:

Biomass, originates from plant- or animal-based materials with a huge potential to be reused. Here we report a simple, rapid and inexpensive method for preparation of modified biochars derived from the banana peel followed by their applications in pipette-tip micro solid-phase extraction (PT-µSPE). Due to the contribution of various effective parameters on modification of banana peel biochars (BPBs), Taguchi design was used to optimize activation temperature, activation repetition, treatment material and impregnation ratio. Efficiency of the prepared BPBs were studied by extraction of twelve various pesticides, as model analytes with an extended range of log P values (1.4-5.7), followed by their determination using ultra-high performance liquid chromatography-tandem mass spectrometry. After finding the most suitable BPB, the affecting parameters on the PT-µSPE performance were optimized. Accordingly, the LOD values of 0.03-10 µg L, linear dynamic range of 0.1-200 µg L and a range of RSD values of 5.3-19% were obtained. Eventually, five fruiting vegetables were analyzed and screened for their possible contaminations. Among the tested pesticides, chlorpyrifos, diazinon, malathion, phosalone, propargite and thiophanate-methyl were detected in eggplant, sweet pepper, zucchini and tomato.
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http://dx.doi.org/10.1016/j.foodchem.2021.130085DOI Listing
October 2021

Probabilistic health risk assessment based on Monte Carlo simulation for pesticide residues in date fruits of Iran.

Environ Sci Pollut Res Int 2021 Aug 1;28(31):42037-42050. Epub 2021 Apr 1.

Student Research Committee, Department of Food Technology, Faculty of Nutrition Sciences and Food Technology/National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

The validation of an analytical procedure based on the quick, easy, cheap, effective, rugged, and safe (QuEChERS) approach is presented for multiresidue analysis of pesticides in dates by liquid chromatography-tandem mass spectrometry (UHPLC-MS). The proposed methodology was applied for simultaneous quantification of 16 pesticides in 50 different date fruits. Method validation was performed regarding accuracy, precision, LDR, LOD, and LOQ, as well as matrix effects. Results of validation were satisfactory, with recoveries higher than 80% for 75% of the samples for 100- and 500- μg L spike levels. Evaluation of the matrix effect revealed that for 81% of the samples, a slight matrix effect was observed. Residues in 92% of the real samples were found below national MRLs. Afterward, hazard quotient (HQ) and total hazard quotient (THQ) of human health risk assessment of pesticides was estimated using a probabilistic approach based on the Monte Carlo (MC) algorithm. Total hazard quotient (THQ) in adults based on the consumption of dates in total samples was estimated to be 7.8% and 36.7% for adults and children, respectively. Since the studied pesticides are registered in the country and are the most widely used pesticides on dates, the occurrence of other pesticide residues seems to be unlikely. Consequently, the applied health risk assessment on Iranian date fruit samples showed that the HQ for adults and children populations indicates no risk to human health.
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http://dx.doi.org/10.1007/s11356-021-13542-0DOI Listing
August 2021

Simultaneous detection and identification of thiometon, phosalone, and prothioconazole pesticides using a nanoplasmonic sensor array.

Food Chem Toxicol 2021 May 12;151:112109. Epub 2021 Mar 12.

Department of Chemistry, Sharif University of Technology, Tehran, 11155-9516, Iran. Electronic address:

In this work, a colorimetric sensor array has been designed for the identification and discrimination of thiometon (TM) and phosalone (PS) as organophosphate pesticides and prothioconazole (PC) as a triazole pesticide. For this purpose, two different plasmonic nanoparticles including unmodified gold nanoparticles (AuNPs) and unmodified silver nanoparticles (AgNPs) were used as sensing elements. The principle of the proposed strategy relied on the aggregation AuNPs and AgNPs through the cross-reactive interaction between the target pesticides and plasmonic nanoparticles. Therefore, these aggregation-induced UV-Vis spectra changes were utilized to discriminate the target pesticides with the help of linear discriminant analysis (LDA). Besides, we have employed the bar plots and the heat maps as visual non-statistical methods to differentiate the pesticides in a wide range of concentrations (i.e., 20-5000 ng mL). Multivariate calibration plots from partial least squares (PLS)- regression indicated that the responses linearly depend on the pesticide concentrations in the range of 100-1000 ng mL with the limit of detections (LOD) of 66.8, 68.3, and 41.4 ng mL, for TM, PS, and PC, respectively. Finally, the potential applicability of the proposed sensor array has been evaluated for the detection and identification of the pesticides in the mixtures, water samples, and cucumber fruit.
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http://dx.doi.org/10.1016/j.fct.2021.112109DOI Listing
May 2021

Health risk assessment of neonicotinoid insecticide residues in pistachio using a QuEChERS-based method in combination with HPLC-UV.

Biomed Chromatogr 2020 Mar 17;34(3):e4747. Epub 2020 Jan 17.

Pharmaceutical and Drug Industries Research Division, Pharmaceutical and Medicinal Chemistry Department, National Research Centre, Cairo, Egypt.

There is an increasing need to address the potential risks arising from combined exposures to multiple residues from pesticides in the diet. Pesticide residue-related pollution is a problem that arises because of the increased use of pesticides in agriculture to meet the growing demands of food production. In this study, pesticide residue data were obtained based on an optimized extraction method. For this purpose, we established a method based on quick, easy, cheap, effective, rugged, and safe (QuEChERS) extraction for simultaneous determination of imidacloprid (IMI) and acetamiprid (ACT) in pistachio nuts. The parameters influencing the QuEChERS method were the sample-to-water ratio and adsorbent amounts. As a result, both were optimized to improve the recovery of the analytes as well as the clean-up efficiency of the pistachio matrix. Our results indicated that a freeze-out step and use of primary and secondary amines as an adsorbent led to much cleaner chromatograms with lower baseline drift, without using graphitized carbon black and C -based adsorbent, which reduced both cost and time of analysis. Following extraction, the pesticide residues were separated and quantified by reverse-phase HPLC. For validation purposes, recovery studies were carried out using a concentration range from 20 to 2500 μg/L at nine levels. The suitable linearity, precision, and accuracy were obtained with HPLC-UV with recoveries of 70.37%-89.80% for IMI and 81.05%-113.57% for ACT, with relative standard deviations <12%. The validated method was successfully applied to the analysis of pistachio samples collected from a field trial to estimate maximum residue limits. There was no significant health risk for consumers via pistachio consumption.
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http://dx.doi.org/10.1002/bmc.4747DOI Listing
March 2020

HKUST-1 metal-organic framework for dispersive solid phase extraction of 2-methyl-4-chlorophenoxyacetic acid (MCPA) prior to its determination by ion mobility spectrometry.

Mikrochim Acta 2018 10 4;185(10):495. Epub 2018 Oct 4.

Pesticide Research Department, Iranian Research Institute of Plant Protection, P.O. Box 1475744741, Tehran, Iran.

The authors describe a method for the extraction of the herbicide 2-methyl-4-chlorophenoxyacetic acid (MCPA) from agricultural products. The metal organic framework (MOF) HKUST-1 (a copper(II) benzene-1,3,5-tricarboxylate) was used as a sorbent for efficient clean-up and preconcentration of MCPA. The effects of pH value, stirring time, amount of sorbent on extraction were optimized by central composite design. Ultrasonic waves were used for desorption procedure and its advantage was demonstrated for an increase in extraction recovery. Corona discharge ion mobility spectrometry (IMS) was then applied for fast and sensitive determination of MCPA. The method was validated in terms of sensitivity, recovery and reproducibility. Under the optimum conditions the calibration plot is linear between 0.035-0.200 μg. L. The detection limit is 10 ng L, with relative standard deviations of <5%. Real samples (water, soil and agricultural product) were spiked and then analyzed by this method, and the results revealed efficient solid phase extraction and recovery. Graphical abstract Schematic presentation of a procedure for extraction of an organochlorine pesticide (2-methyl-4-chlorophenoxyacetic acid) from agriculture products using the HKUST-1 metal-organic framework prior to determination by ion mobility spectrometry based on its ionization in drift cell.
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http://dx.doi.org/10.1007/s00604-018-3014-0DOI Listing
October 2018

Elimination of diazinon insecticide from cucumber surface by atmospheric pressure air-dielectric barrier discharge plasma.

Biointerphases 2016 12 6;11(4):041007. Epub 2016 Dec 6.

Department of Phytochemistry, Medicinal Plants and Drugs Research Institute, Shahid Beheshti University, G.C. Evin, P.O. Box 19835-389, 1983969411 Tehran, Iran.

The food industry is in a constant search for new technologies to improve the commercial sterilization process of agricultural commodities. Plasma treatment may offer a novel and efficient method for pesticide removal from agricultural product surfaces. To study the proposed technique of plasma food treatment, the degradation behavior of diazinon insecticide by air-dielectric barrier discharge (DBD) plasma was investigated. The authors studied the effect of different plasma powers and treatment times on pesticide concentration in liquid form and coated on the surface of cucumbers, where the diazinon residue was analyzed with mass spectroscopy gas chromatography. Our results suggest that atmospheric pressure air-DBD plasma is potentially effective for the degradation of diazinon insecticide, and mainly depends on related operating parameters, including plasma treatment time, discharge power, and pesticide concentrations. Based on the interaction between reactive oxygen species and electrons in the plasma with the diazinon molecule, two degradation pathway of diazinon during plasma treatment are proposed. It was also found that produced organophosphate pesticides are harmless and less hazardous compounds than diazinon.
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http://dx.doi.org/10.1116/1.4971382DOI Listing
December 2016

Integrated pathway-based and network-based analysis of GC-MS rice metabolomics data under diazinon stress to infer affected biological pathways.

Anal Biochem 2016 Feb 12;494:31-6. Epub 2015 Nov 12.

Department of Plant Biology, Faculty of Biological Science, Tarbiat Modares University, P.O. Box 14115154, Tehran, Iran. Electronic address:

Diazinon insecticide is widely applied in rice (Oryza sativa L.) fields in Iran. However, concerns are now being raised about its potential adverse impacts on rice. In this study, a time-course metabolic change in rice plants was investigated after diazinon treatment using gas chromatography-mass spectrometry (GC-MS) and subsequently three different methods, MetaboAnalyst, MetaboNetwork, and analysis of reporter reactions, as a potential multivariate method were used to find the underlying changes in metabolism with stronger evidence in order to link differentially expressed metabolites to biological pathways. Results clearly showed the similarity of acetylcholinesterase (AChE) of rice plants to that of animals in terms of its inhibitability by diazinon and emphasized that subsequent accumulation of AChE mainly affects the metabolism of osmolites and tricarboxylic acid intermediates subsequent accumulation of ACh mainly affects the metabolism of osmolites and TCA intermediates.
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http://dx.doi.org/10.1016/j.ab.2015.10.017DOI Listing
February 2016

A targeted metabolomics approach toward understanding metabolic variations in rice under pesticide stress.

Anal Biochem 2015 Jun 9;478:65-72. Epub 2015 Mar 9.

Department of Phytochemistry, Medicinal Plants and Drugs Research Institute, Shahid Beheshti University, Tehran, Iran. Electronic address:

Diazinon insecticide is widely applied throughout rice (Oryza sativa L.) fields in Iran. However, concerns are now being raised about its potential adverse impacts on rice fields. In this study, a time-course metabolic change in rice plants was investigated after diazinon treatment using gas chromatography-mass spectrometry (GC-MS), and subsequently the statistical strategy of random forest (RF) was performed in order to find the stress-associated effects. According to the results, a wide range of metabolites were dynamically varied as a result of the plant response to diazinon such as biosynthesis and metabolism of sugars, amino acids, organic acids, and phenylpropanoids, all correlating with the exposure time. Plant response was involved in multiple metabolic pathways, most of which were correlated with the exposure time. In this study, RF was explored as a potential multivariate method for GC-MS analysis of metabolomics data of rice (O. sativa L.) plants under diazinon stress; more than 31 metabolites were quantitatively determined, and time-course metabolic response of the plant during different days after treatment was measured. Results demonstrated RF as a potential multivariate method for GC-MS analysis of changes in plant metabolome under insecticide stress.
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http://dx.doi.org/10.1016/j.ab.2015.02.021DOI Listing
June 2015

Investigation on diazinon and oxydemeton-methyl residues in cucumbers grown in Kerman greenhouses.

Environ Monit Assess 2014 Jul 14;186(7):3995-9. Epub 2014 Feb 14.

Department of Plant Protection, Kerman's Agricultural and Natural Resources Research Center, Kerman, 7617913739, Iran,

Pesticides are considered as the most polluting substances. The residue of pesticides in agricultural crops, especially in greenhouse harvests, has been reported critical. Cucumber, considered as a vegetable, is an agricultural product which is commonly found in the Iranian food basket. The current study aims to assess the level of diazinon and oxydemeton-methyl existing in cucumbers sampled from Kerman greenhouses. The pesticide residue was extracted by acetone and dichloromethane. The extracts were cleaned up according to the solid-phase extraction method. The pesticide residues were then determined by capillary gas chromatography with nitrogen-phosphorus detection. The recoveries were 83 and 85 %, the limit of detection was 0.028 and 0.034 mg/kg, and the limits of qualification were 0.093 and 0.113 mg/kg for diazinon and oxydemeton-methyl in cucumber samples, respectively. The median of diazinon residue was detected 0.582 mg/kg, which was 11.64 times the national maximum residue limit (MRL) (0.05 mg/kg), and the median for oxydemeton-methyl was 1.910 mg/kg, being 1.91 times the MRL (1 mg/kg).
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http://dx.doi.org/10.1007/s10661-014-3674-0DOI Listing
July 2014

Tautomerization equilibria in aqueous micellar solutions: a spectrophotometric and factor-analytical study.

Langmuir 2007 Feb 24;23(5):2362-8. Epub 2007 Jan 24.

Faculty of Chemistry, Institute for Advanced Studies in Basic Sciences, Zanjan, Iran.

The keto-enol equilibria of benzoylacetone (BZA) as a model for 1,3-dicarbonyl compounds are studied in aqueous acid and cationic micellar solution. Evolving factor analysis (EFA), multivariate curve resolution-alternating least-squares (MCR-ALS), and rank annihilation factor analysis (RAFA) are used for complete resolving of measured spectrophotometric data. The acidity constants of the enolic, KaE, and ketonic, KaK, forms of BZA and also the tautomerization constant, Kt, and its related thermodynamic parameters have been determined by using EFA and MCR-ALS methods and spectral variation of BZA solutions in various pHs and temperatures. The concentration and spectral profiles of all species were calculated without any assumption about chemical models. The spectral variation of BZA solutions as a function of cationic micelle concentration sufficiently beyond its critical micelle concentration is analyzed according to the partition model for distribution between water and micellar pseudo-phase and RAFA. The outputs of using RAFA on measured rank deficient data are the spectrum of enolic form in the micellar pseudo-phase, free from contribution of the enolic form in the aqueous phase, the partition coefficient of enolic form, KdE, between the micelle and water phases, and the tautomerization constant in the micellar pseudo-phase, Ktm.
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http://dx.doi.org/10.1021/la0627112DOI Listing
February 2007
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