A simple approach to the prediction of soil sorption of organophosphorus pesticides

Muhire, Jules; Li, Sha Sha; Yin, Bo; Mi, Jia; Zhai, Hong Lin

doi:10.1080/03601234.2021.1934358

Cited by 3 publications

(1 citation statement)

References 41 publications

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“…Around the world, OPPs are used as an alternative to OC insecticides to control insects in fruits, vegetables, and cereals. Due of their widespread applicability, low persistence, and relative inexpensive cost, OPPs and carbamates are still employed (Muhire, Li, Yin, Mi, & Zhai, 2021). OPPs are continue to be utilised because of their generally inexpensive cost, low tenacity and broad applicability.…”

Section: Classification Of Pesticidesmentioning

confidence: 99%

Assessment of Pesticide Toxicity in Selected Pakistani Fruits

et al. 2022

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Persistent organic pollutants and heavy metals are damaging the environment. Crops and fields are destroyed by the seepage of heavy metals from untreated industrial waste. The burning and incineration of a variety of items also contributes to main and secondary emissions of pollutants. The excessive usage of Pesticides in Pakistan causes contamination, which effects the ecosystem. Although they increased life quality but also posed a significant health danger. The toxic properties of various pesticides and organic pollutants in Pakistani fruits was observed by exceeding the MRLs. The study aimed to stimulate discussion among Pakistan's stakeholders about the dangers and toxicity of pesticides, as well as prompt plans for environmental cleanup and more environmentally friendly farming. Due to ignorance, a sizable section of the populace is unaware of the issue of pesticide residues and their accumulation in the food chain. The major goal of the review is to record, evaluate, and examine the findings of earlier research on the levels of various pesticides in particular fruits from Pakistan. The results of the earlier investigations made it abundantly evident that more than 50% of the samples were contaminated with pesticides such as organophosphate, pyrethroid, and organochlorine.

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Section: Classification Of Pesticidesmentioning

confidence: 99%

Assessment of Pesticide Toxicity in Selected Pakistani Fruits

et al. 2022

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Organophosphorus pesticide tolerance of transgenic Arabidopsis thaliana by bacterial ophB gene encode organophosphorus hydrolase

Islam

Yeasmin

Islam

2021

Journal of Environmental Science and Health, Part B

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Understanding requirements, limitations and applicability of QSAR and PTF models for predicting sorption of pollutants on soils: a systematic review

Neira-Albornoz,

Martínez-Parga-Méndez,

González

et al. 2024

Front. Environ. Sci.

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Sorption is a key process to understand the environmental fate of pollutants on soils, conduct preliminary risk assessments and fill information gaps. Quantitative Structure-Activity Relationships (QSAR) and Pedotransfer Functions (PTF) are the most common approaches used in the literature to predict sorption. Both models use different outcomes and follow different simplification strategies to represent data. However, the impact of those differences on the interpretation of sorption trends and application of models for regulatory purposes is not well understood. We conducted a systematic review to contextualize the requirements for developing, interpreting, and applying predictive models in different scenarios of environmental concern by using pesticides as a globally relevant organic pollutant model. We found disagreements between predictive model assumptions and empirical information from the literature that affect their reliability and suitability. Additionally, we found that both model procedures are complementary and can improve each other by combining the data treatment and statistical validation applied in PTF and QSAR models, respectively. Our results expose how relevant the methodological and environmental conditions and the sources of variability studied experimentally are to connect the representational value of data with the applicability domain of predictive models for scientific and regulatory decisions. We propose a set of empirical correlations to unify the sorption mechanisms within the dataset with the selection of a proper kind of model, solving apparent incompatibilities between both models, and between model assumptions and empirical knowledge. The application of our proposal should improve the representativity and quality of predictive models by adding explicit conditions and requirements for data treatment, selection of outcomes and predictor variables (molecular descriptors versus soil properties, or both), and an expanded applicability domain for pollutant-soil interactions in specific environmental conditions, helping the decision-making process in regard to both scientific and regulatory concerns (in the following, the scientific and regulatory dimensions).

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A simple approach to the prediction of soil sorption of organophosphorus pesticides

Cited by 3 publications

References 41 publications

Assessment of Pesticide Toxicity in Selected Pakistani Fruits

Assessment of Pesticide Toxicity in Selected Pakistani Fruits

Organophosphorus pesticide tolerance of transgenic Arabidopsis thaliana by bacterial ophB gene encode organophosphorus hydrolase

Understanding requirements, limitations and applicability of QSAR and PTF models for predicting sorption of pollutants on soils: a systematic review

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