Chemical Analysis of Pesticides Using GC/MS, GC/MS/MS, and LC/MS/MS

Raina, Renata

doi:10.5772/13242

Cited by 15 publications

(8 citation statements)

References 58 publications

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“…Liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS) can analyze a much wider range of contaminants than gas chromatography coupled with tandem mass spectrometry (GC-MS, GC-MS/MS). A general discussion of the application of GC-MS/MS and LC-MS/MS for the analysis of different chemical classes of pesticides can be found in the book chapter by Raina [14]. Liquid chromatography coupled with mass spectrometry provides a large amount of information about complex mixtures and the structure of the analyte without the need to derivatize the analyte.…”

Section: Introductionmentioning

confidence: 99%

LC-MS/MS Determination of Pesticide Residues in Fruits and Vegetables

Stachniuk¹

2018

Reference Series in Phytochemistry

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A proper diet is commonly regarded as one of the most important factors determining one's health. A key role in such a diet is played by unprocessed food of plant origin, mainly fruits and vegetables, as they contain many important dietary bioactive compounds such as polyphenols, carotenoids, fiber, antioxidants, several important vitamins, and minerals. Despite the nutritional benefit, they may also contain substances that adversely affect human health. Pesticides constitute a special group of contaminants as even small amounts of these substances can result in acute poisoning, lead to cancer, and have an adverse impact on the endocrine, immune, and nervous system. A considerable number of pesticides have a harmful effect already in low concentrations, within the range of μg kg À1 and below μg kg À1 ; hence, there is a great need for identifying and determining them by means of highly selective and sensitive methods. In the analysis of pesticide residue, similarly to the analysis of other food contaminants,

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Section: Introductionmentioning

confidence: 99%

LC-MS/MS Determination of Pesticide Residues in Fruits and Vegetables

Stachniuk¹

2018

Reference Series in Phytochemistry

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“…Simultaneous analysis of multiple pesticides is also challenging due to the matrix effects and other factors in GC/MS. There are a lot of researches on Figure 5 Averages of log PE for seven crops corresponding to a number of regression methods the recovery ratio of pesticides in foods for the sample preparation methods [22][23][24][25]. Over-and underestimate of recovery rate of pesticide cause the risk of food safety, especially, false negative by the under estimate will endanger the food safety of consumers.…”

Section: Discussionmentioning

confidence: 99%

[Special Issue for Honor Award dedicating to Prof Kimito Funatsu]Chemoinformatics Approach for Estimating Recovery Rates of Pesticides in Fruits and Vegetables

Serino

Takigawa

Nakamura

et al. 2019

J. Comput. Aided Chem.

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Pesticides are considered a vital component of modern farming, playing major roles in maintaining high agricultural productivity. Pesticide recovery rates in vegetables and fruits determined using GC/MS depends on various factors including the matrix effect and chemical interactions between pesticides and mixing compounds in crops. In this study, the recovery rate of a pesticide is defined by a ratio of peak area of 50 ppb spiked in a crop sample to that in the solvent standard calibration curve. The estimation of recovery rates of pesticides in crops leads to evaluation of precise contents of them in the crops. In the present study, we performed regression models of the recovery rates based on molecular descriptors using R-packages rcdk and caret. Each of the chemical structures of 248 pesticides was converted to 174 molecular descriptors, then, for 7 crops, we created 69 ordinary and 20 ensemble learning regression models for estimating the recovery rates from the molecular descriptors using R-package caret. In the present study, two machine learning regression methods called mSBC and xgbLinear performed the best in view of prediction rates and execution times. In those two regression models predictions of recovery rates of pesticides are carried out in local distribution of chemical properties out of the 174 molecular descriptors. This concludes that closely related pesticides in the chemical space have also very similar recovery rates.

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“…The QuEChERS technique was used to extract all tissue samples. Oxyfluorfen and chlorpyrifos were quantified using gas chromatography-mass spectrometry (GC-MS), and isoxaben was quantified using liquid chromatography-tandem mass spectrometry (LC-MS/MS) [37].…”

Section: Physiological Measurements and Growthmentioning

confidence: 99%

Dose-Dependent Phytotoxicity of Pesticides in Simulated Nursery Runoff on Landscape Nursery Plants

Poudyal

Fernandez

Owen

et al. 2019

Water

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Managers of ornamental nurseries are increasingly reusing runoff water as an irrigation source, but residual pesticides in recycled water may result in plant phytotoxicity on crop plants. Our study focused on understanding the responses of container-grown landscape plants to residual pesticides in irrigation water. Hydrangea paniculata ‘Limelight’, Cornus obliqua ‘Powell garden’, and Hosta ‘Gold standard’ were exposed to various concentrations of isoxaben, chlorpyrifos, and oxyfluorfen (0, 0.15, 0.35, 0.7, and 1.4 mg/L of isoxaben; 0, 0.05, 0.1, 0.2, and 0.4 mg/L of chlorpyrifos; and 0, 0.005, 0.01, 0.015, and 0.02 mg/L of oxyfluorfen) applied as overhead irrigation. After three months of application, we assessed the dry weight biomass, growth, and parameters related to photosynthetic physiology (SPAD chlorophyll index, light-adapted chlorophyll fluorescence, and photosynthesis carbon dioxide response (A/Ci) curves. We also sampled plant leaf, stem, and root tissues for residual pesticides. The effects of the pesticides were pesticide-specific and taxa-specific. Exposure to oxyfluorfen resulted in visible injury in all three taxa and reduced total biomass, chlorophyll index, and photosynthesis in Hydrangea and Hosta. All three taxa absorbed and retained pesticides in leaf and stem tissues. Growers should follow best management practices to reduce exposure from irrigation with runoff, particularly for herbicides with post-emergent activity.

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Chemical Analysis of Pesticides Using GC/MS, GC/MS/MS, and LC/MS/MS

Cited by 15 publications

References 58 publications

LC-MS/MS Determination of Pesticide Residues in Fruits and Vegetables

LC-MS/MS Determination of Pesticide Residues in Fruits and Vegetables

[Special Issue for Honor Award dedicating to Prof Kimito Funatsu]Chemoinformatics Approach for Estimating Recovery Rates of Pesticides in Fruits and Vegetables

Dose-Dependent Phytotoxicity of Pesticides in Simulated Nursery Runoff on Landscape Nursery Plants

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