Categories Of Pesticides Research Articles

Exploring the Efficacy and Sustainability of Natural Pesticides in Plant Protection

With the increasing demand for sustainable agricultural practices, the efficacy and sustain-ability of natural pesticides in plant protection, providing a critical assessment of their potential as alternatives to synthetic chemical pesticides is the basic demand of the future. This study aimes to examine the diverse categories of natural pesticides, including plant-based, microbial, and mineral-based options, and evaluate their effectiveness against a broad range of pests and diseases. We exam-ine the environmental impact of natural pesticides on non-target organisms, their persistence and degradation, and the potential for bioaccumulation, focusing on their reduced chemical residues and ecological compatibility. Typically, natural pesticides target specific areas of the insect, like its nerv-ous system, leading to the insect's downfall, loss of coordination, paralysis, and eventual death. The majority of botanical pesticides affect the target organism by poisoning its stomach, lungs, or other bodily systems. Sincebotanical pesticides are typically fairly biodegradable and may be quickly bro-ken down by the stomach acids of mammals, their toxicity to humans and animals is typically quite low, and they are environmentally beneficial. Natural pesticides offer significant environmental, health, economic, and social benefits, making them an essential component of modern sustainable agriculture. Their use supports ecological balance, human safety, and long-term agricultural produc-tivity. Overall, it highlights the promising efficacy and sustainability of natural pesticides, underscor-ing their potential for enhancing plant protection while minimizing environmental risks.

Pesticide Use, Regulation, and Policies in Indian Agriculture

This research paper presents a comprehensive analysis of pesticide use in global and Indian agriculture, focusing on the mounting food security challenges due to population growth and the increased demand for food and fiber crops. While pesticides are crucial in mitigating losses due to pests, diseases, and weeds, increasing apprehension regarding their adverse effects on human and environment health necessitates a critical examination of their usage patterns. Despite India’s relatively low per-hectare pesticide usage of 0.4 kg compared to China’s 1.83 kg, issues with pesticide residue contamination in the food chain require urgent attention. Additionally, significant regional disparities in pesticide application highlight the need for more uniform and sustainable agricultural practices. Therefore, this study examines the evolving trends in global and Indian pesticide application, providing a comprehensive analysis of the shifting dynamics across various Indian states and crop varieties. Furthermore, it analyzes various pesticide categories and their respective market shares, providing insights into production and export patterns. Our research also explores regulatory frameworks aimed at optimizing pesticide use while minimizing detrimental effects on human health and the environment.

A Scientific Review of Pesticides: Classification, Toxicity, Health Effects, Sustainability, and Environmental Impact.

Over the years, the useof pesticides has risen significantly, primarily to combat undesirable organisms that threaten crucial crops. A variety of pesticides are available, each designed to protect crops from specific threats like fungi, bacteria, and other pests. Other than crop protection, pesticides are also used in controlling insect vector-borne diseases like malaria and Lyme disease in humans.However, the application of these pesticides must be carefully measured and managed to prevent adverse effects on humans, non-target animals, and the environment. This reviewdelves into the detailed classification of pesticides, exploring their mechanisms of action, applications, benefits, and potential side effects. Understanding the different categories of pesticides, such as herbicides, insecticides, fungicides, rodenticides, and biopesticides, helps us comprehend how each function to control pests. Additionally, we discuss the advantages of pesticide use, including increased crop yields and the prevention of crop diseases, which contribute to food security and agricultural productivity. This review also addresses the significant concerns related to pesticide usage, such as the development of pest resistance, health risks to humans through exposure and residues in food, as well as the impact on biodiversity and ecosystems. The review emphasizes the importance of using pesticides responsibly and implementing integrated pest management strategies to mitigate this risk of exposure. By providing a comprehensive overview of pesticide classification, mechanisms of action, and implications, this review aims to inform and guide us to the safe and effective use of pesticides for daily agricultural practices.

Progress in analytical methods for pesticide detection in palm oil and palm kernel oil matrices, and pesticide fate studies in oil palm plantations

AbstractThis review presents a comprehensive overview of instrumental analyses for both single‐component and multicomponent pesticide detection within palm oil matrices. It meticulously examines the analytical attributes of these methods across various pesticide categories, including insecticides, herbicides, and fungicides. The discussion extends to sample preparation methodologies tailored for palm oil, encompassing techniques such as low‐temperature precipitation followed by solid‐phase extraction, liquid–liquid extraction, and variations of the Quick, Easy, Cheap, Effective, Rugged, and Safe (QuEChERS) method. Additionally, it explores the QuEChERS method employing different sorbent combinations to optimize extraction efficiency. The second part of the review focuses on the fate study of pesticides within oil palm plantations which covers laboratory‐scale simulations elucidating pesticide behavior, comparative analysis of field studies with predictive programs, and investigations into the influence of climatic and microbiological factors on pesticide persistence within the oil palm agroenvironment system.

Bioaccumulation of Organic and Inorganic Pollutants in Fish from Thermaikos Gulf: Preliminary Human Health Risk Assessment Assisted by a Computational Approach.

The monitoring of contaminants in fish species is pivotal for fishes' health and reproduction, as well as for human health. In the specific work, three major categories of contaminants, pesticides, pharmaceuticals, and macro and trace elements, were investigated in two major fish species, Dicentrarchus labrax and Solea solea, collected from Thermaikos Gulf, in Greece. To achieve this goal, three analytical methods using LC-MS/MS, GC-MS/MS, and ICP-MS were developed, validated, and applied to the collected fish samples. The results indicated a very low prevalence of caffeine and acetaminophen, both not exceeding 3.8 μg/kg fish. Similarly, thiabendazole, cypermethrin, and tricyclazole (pesticides) were found in a concentration range of 0.9 to 13.7 μg/kg fish, while in one D. labrax sample, traces of the metabolite of organochlorine pesticide DDT, o,p'-DDE were detected. Al, Mn, Fe, Zn, and Sr were the predominant trace elements in a concentration range of 500-20,000 μg/kg fish. Macro elements levels varied from 280 to 5405 mg/kg fish. Health risk assessment did not unveil an unacceptable risk for the human health of adults, apart from one sample presenting Hg above the regulatory levels. On the contrary, for children, the calculated hazard quotient values for Hg in all cases and for two As detections were higher than the threshold value of 1, indicating a potential risk.

Contact exposure of honey bees and social stingless bees to fungicide sprayed on cotton and soybean in a controlled field simulation system

AbstractBees can be exposed to pesticides when visiting crops or plants in adjacent areas affected by spray drift. Among pesticide categories, fungicides tend to be considered relatively safe, though they also can negatively affect pollinators. Most evidence of damage by fungicides to bees comes from laboratory tests; there is little information concerning contamination levels in the field. We examined exposure of honey bees (Apis mellifera L.) (Hymenoptera: Apidae) and a common Brazilian native species of social stingless bees (Scaptotrigona postica Latreille; Hymenoptera: Apidae), which is about a third the size of a honey bee, to a commercial fungicide (Fox Xpro), with three active ingredients (trifloxystrobin, bixafen, and prothioconazole), applied to crops they often visit according to label directions. A spraying apparatus mounted on tracks in a laboratory spray room was used to simulate field conditions. Soybean and cotton plants grown in pots were transferred to the spray room when the plants were in flower. Anaesthetized bees were attached with insect pins at the top and middle of the plants, on leaves and flowers. The fungicide was applied using fine or coarse droplets. The amounts of the individual active ingredients absorbed by bees were then quantified. Concentrations of trifloxystrobin were highest in both honey bees and stingless bees, followed by bixafen, and then prothioconazole, which was detected in the bees at much lower levels. Overall, bees at the top of the plants and those sprayed with fine droplets absorbed more pesticide. As a function of body mass, the stingless bees were more heavily contaminated than the larger honey bees. Tests using spraying systems that simulate field conditions can better estimate the actual doses that contaminate bees to help determine the impact of fungicides and other pesticides applied to crops.

Efficacy of Different Pesticides against Fall Armyworm (Spodoptera frugiperda (J.E. Smith) Lepidoptera: Noctuidae) under Laboratory Conditions in Rupandehi, Nepal

The fall armyworm (FAW), Spodoptera frugiperda, is a highly destructive pest recently reported in various Asian countries and originated in the subtropical regions of America. It was first recorded in Nepal on May 9, 2019. This invasive species poses a significant threat to maize production because it can undergo multiple generations, migrate, and feed on a wide range of host plants. A laboratory study was conducted with 3 categories of pesticides: conventional, newer, and bio‐rational. The study focused on evaluating the efficacy of these pesticides on the third‐instar larvae of S. frugiperda. The treatments included (1) newer chemical pesticides: spinosad 45% suspension concentrate (SC) (Tracer 1 ml/3 L of water), spinetoram 11.7% SC (Delegate 0.5 ml/L of water), chlorantraniliprole 18.5% SC (Allcora 1 ml/2.5 L of water), emamectin benzoate 5.7% water dispersible granules (WDG) (top killer 1 g/2.5 L), (2) conventional pesticide: chlorpyrifos 50% EC (Predator 2 ml/L), and (3) bio‐rational pesticides: Bacillus thuringiensis var kurstaki 0.5% wettable powder (WP) (Maharashtra 2gm/L), Metarhizium anisopliae 1.0% WP (Kalichakra 5 ml/L), Beauveria bassiana 2% AS (DamanL 5 ml/L), Azadirachta indica 4.5% (Neemix 5 ml/L), Syzygium aromaticum 100% v/v (Kanti herbal Clove oil 3 ml/L), and spinosad 45% SC (Tracer 0.3 ml/L). Fresh maize leaves were treated using the leaf dip method and then fed to 3rd instar larvae of FAW. The results revealed that spinetoram and spinosad caused 100% larval mortality within the first 24 hours after treatment. Similarly, spinosad (99.99%) and clove oil (76.64%) were the most effective bio‐rational pesticides followed by B. bassiana and B. thuringiensis. The newer and bio‐rational pesticides that showed high efficacy could be suggested for further study in farmers’ fields. They could be recommended for testing as a component of integrated pest management for effective management of FAW in Nepal.

Exposure levels and health implications of fungicides, neonicotinoid insecticides, triazine herbicides and their associated metabolites in pregnant women and men

Exposure to pesticides can pose a series of advance effects on human health. However, the exposure levels and health implications of the current use pesticides and their metabolites in both men and pregnant women remain unclear. In this study, an analytical method was developed to quantify fungicides, neonicotinoid insecticides, triazine herbicides, and their metabolites in the human serum. Fifty of the 73 target pesticides and metabolites were detected in the human serum of men and pregnant women from Wuxi, China, which included 11 triazine herbicides and metabolites, 17 neonicotinoid insecticides and metabolites, and 22 fungicides. Fungicides had the highest cumulative concentration (49.5 ng/mL), followed by neonicotinoid insecticides and metabolites (6.38 ng/mL), and triazine herbicides and metabolites (5.10 ng/mL). Moreover, the estimated daily intake (EDI) of fungicides was 10.4 and 12.7 times higher than that of triazine herbicides (included their metabolites) and neonicotinoid insecticides (included their metabolites), respectively. Of the three categories of pesticides, exposure to fungicides contributed to the highest exposure risk within the hazard quotient in the range of 5.1 × 10−3-0.17. Correlation analysis revealed that the pesticide exposure levels in human serum were correlated with their maximum residue levels in vegetables and fruits. Pesticide exposure has also been correlated with the weight and Body Mass Index (BMI) of humans based on structural equation modeling. This study provides new insights into the exposure of men and pregnant women to a cocktail of fungicides, neonicotinoid insecticides, triazine herbicides and their metabolites.

Impact of landscape composition on honey bee pollen contamination by pesticides: A multi-residue analysis

The honey bee is the most common and important managed pollinator of crops. In recent years, honey bee colonies faced high mortality for multiple causes, including land-use change and the use of plant protection products (hereafter pesticides). This work aimed to explore how contamination by pesticides of pollen collected by honey bees was modulated by landscape composition and seasonality. We placed two honey bee colonies in 13 locations in Northern Italy in contrasting landscapes, from which we collected pollen samples monthly during the whole flowering season in 2019 and 2020. We searched for almost 400 compounds, including fungicides, herbicides, insecticides, and acaricides. We then calculated for each pollen sample the Pollen Hazard Quotient (PHQ), an index that provides a measure of multi-residue toxicity of contaminated pollen. Almost all pollen samples were contaminated by at least one compound. We detected 97 compounds, mainly fungicides, but insecticides and acaricides showed the highest toxicity. Fifteen % of the pollen samples had medium-high or high levels of PHQ, which could pose serious threats to honey bees. Fungicides showed a nearly constant PHQ throughout the season, while herbicides and insecticides and acaricides showed higher PHQ values in spring and early summer. Also, PHQ increased with increasing cover of agricultural and urban areas from April to July, while it was low and independent of landscape composition at the end of the season. The cover of perennial crops, i.e., fruit trees and vineyards, but not of annual crops, increased PHQ of pollen samples. Our work highlighted that the potential toxicity of pollen collected by honey bees was modulated by complex interactions among pesticide category, seasonality, and landscape composition. Due to the large number of compounds detected, our study should be complemented with additional experimental research on the potential interactive effects of multiple compounds on honey bee health.

Evolving community structure in the international pesticide trade networks

The statistical properties of the international trade networks of all commodities as a whole have been extensively studied. However, the international trade networks of individual commodities often behave differently. Due to the importance of pesticides in agricultural production and food security, we investigated the evolving community structure in the international pesticide trade networks (iPTNs) of five categories from 2007 to 2018. We reveal that the community structures in the undirected and directed iPTNs exhibit regional patterns. However, the regional patterns are very different for undirected and directed networks and for different categories of pesticides. Moreover, the community structure is more stable in the directed iPTNs than in the undirected iPTNs. We also extract the intrinsic community blocks for the directed international trade networks of each pesticide category. It is found that the largest intrinsic community block is the most stable, appears in every pesticide category, and contains important economies (Belgium, Germany, Spain, France, the United Kingdom, Italy, the Netherlands, and Portugal) in Europe. Other important and stable intrinsic community blocks are Canada and the United States in North America, Argentina and Brazil in South America, and Australia and New Zealand in Oceania. These results suggest that, in the international trade of pesticides, geographic distance and the complementarity of important and adjacent economies are significant factors.

Farmers Knowledge on Pesticide Usage in Paddy and Cabbage Crops

The study was conducted to investigate the knowledge of the farmers on pesticide use in selected crops during 2019-22. Two crops namely paddy and cabbage were selected and tow districts that have higher area namely Koppal and Belagavi were selected. In each district, two taluks and eighty farmers were selected for each crop by simple random procedure to form a total sample of 160 farmers. Overall knowledge index of pesticides by farmers was higher in case of paddy (73.57%) and cabbage (64.76%) farmers. Among the various dimensions, knowledge index was highest with respect to concentration and application practice (96.72% & 82.97%), types of sprayers and maintenance (91.25% & 87.50%), IPM practices (73.75% & 70.00) among paddy, and cabbage. Further, knowledge with respect to pest identification (69.06% & 57.66%), toxicity of pesticide and labels signs (68.59% & 61.09%) and disposal of pesticides and personal hygiene (67.86% & 61.09%) was around sixty percent among cabbage and paddy growers respectively. Further, low index was observed with respect to pesticide selection (26.88% & 38.54%) in case of paddy and cabbage growers respectively. Regarding overall knowledge of the pesticide use the findings revealed that Majority (72.50%) of the growers belongs to medium knowledge of pesticide category in case of paddy, low knowledge category in cabbage crop (38.75%) there is need for orientation to the farmers on different insect pests and pathogens through training and digital media. The short video on pests in different crops may be prepared and made access to upload on smart phones of farmers.

A novel strategy for identification of pesticides in different categories by concentration-independent model based on a nanozyme with multienzyme-like activities

Conventional rapid detection methods are difficult to identify or distinguish various pesticide residues at the same time. And sensor arrays are also limited by the complexity of preparing multiple receptors and high cost. To address this challenge, a single material with multiple properties is considered. Herein, we first found that different categories of pesticides have diverse regulatory behaviors on the multiple catalytic activities of Asp-Cu nanozyme. Thus, a three-channel sensor array based on the laccase-like, peroxidase-like, and superoxide dismutase-like activities of Asp-Cu nanozyme was constructed and successfully used for the discrimination of eight kinds of pesticides (glyphosate, phosmet, isocarbophos, carbaryl, pentachloronitrobenzene, metsulfuron-methyl, etoxazole, and 2-methyl-4-chlorophenoxyacetic acid). In addition, a concentration-independent model for qualitative identification of pesticides has been established, and 100% correctness was achieved in the recognition of unknown samples. Then, the sensor array also exhibited excellent interference immunity and was reliable for real sample analysis. It provided a reference for pesticide efficient detection and food quality supervision.

Influence of Soil Organic Carbon, Water Holding Capacity, and Moisture Content on Heavy Metals in Rice Paddy Soils of Western Ghats of India

Analysis of soil samples collected from 16 rice paddy fields located in the Western Ghats region was performed to quantify the concentration of Cu, Zn, Mn, Fe, Ni, Cr, Cd, and Pb using atomic absorption spectroscopy. High concentrations of these heavy metals were found in rice paddy fields regularly cultivated using agrochemicals. We compared this concentration with soils of rice paddy field that was not under cultivation. Cu, Zn, Mn, Fe, Cr, Ni, Pb, and Cd showed increases of 1.2, 1.3, 2.3, 2.2, 1.8, 2.8, 1.8, and 8.5 times, respectively, in the rice paddy fields cultivated with synthetic fertilizers such as NPK, urea, potash, diammonium phosphate, etc., and several categories of pesticides belonging to the class organophosphates, carbamates, and acetanilide herbicide. In contaminated sites, the heavy metals exhibited maximum correlation with soil moisture content (SMC) (Zn, Fe, Cr, Ni, and Cd), soil organic content (SOC) (Fe, Cr, Ni, and Cd), and water holding capacity (WHC) (Cu, Pb, and Cd) than those observed for the reference site. The principal component analysis (PCA) revealed a total of 77.944% variance of heavy metals contributed from WHC (40.259%), SMC (20.854%), and SOC (16.832%). This indicates the build-up of heavy metals in rice paddy soils under the strong influence of moisture content, water holding capacity, and organic carbon content of the soil.

Critical Review: Regulatory Differences Among Countries Expose the Permissiveness in the Use of Hazardous Pesticides in Brazil

This critical review warns of differences in pesticide registration and approval among major agricultural nations and classifications based solely on acute toxicity, which masks the risk of exposure to unapproved hazardous pesticides. It presents (a) the approval status of active pesticide ingredients (AI) in Brazil (BR) compared to other agricultural nations (e.g. European Union, USA and China); (b) the toxicological reclassification scenario of commercial pesticides in BR, and (c) the toxicological category of commercial pesticides in BR, with AI not approved for use in the three analyzed nations. A list of approved and not approved AI for use in Brazilian agriculture was compiled from the ANVISA website, and a comparison of the approval status among the agricultural countries was performed. Additionally, the number of commercial pesticides in classes/categories was compared before and after the toxicological reclassification from the ANVISA toxicological reclassification list. Among AI approved in BR, approximately 46.6% are “not approved” for use in at least one analysed nation. In addition, 43 pesticides (22,6%) were identified as approved in BR and not approved for use in two of the three nations. It is also noteworthy that nine pesticides (4,7%) are not approved for use in any of the three nations compared. Category 5, currently incorporated (product unlikely to cause acute harm), is the one that most absorbed products previously classified in Classes I (extremely toxic), II (highly toxic), and III (moderately toxic) (46.9%). Most formulations containing not approved active ingredients are classified in Categories 4 (slightly toxic) and 5 in BR. The negative effects that agrochemicals bring to the nation, such as on human health, or in wildlife, polluting water sources, and promoting a global problem by producing contaminated food, do not outweigh the economic benefits obtained by agribusiness.

Maternal exposure to pesticides and autism or attention-deficit/hyperactivity disorders in offspring: A meta-analysis

ObjectiveTo analyze the association between maternal pesticide exposure and autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorders (ADHD) in offspring. MethodFive databases including PubMed, Embase, Web of Science, Medline, as well as PsycINFO were systematically retrieved for the records related to pesticide exposure during pregnancy and ASD and ADHD in offspring before August 30, 2022. The pesticide category, maternal age and window of exposure as the main subgroups were presented. Results949 studies were initially identified, and 19 studies were eventually included. Eleven were on ASD, seven were on ADHD, and one was on both disorders. Maternal pesticide exposure was positively related to ASD (pooled OR = 1.19 (95%CI: 1.04 to 1.36)) and ADHD (pooled OR = 1.20 (95%CI: 1.04 to 1.38)) in offspring. In the subgroup analysis, organophosphorus pesticides (OPs) (pooled OR = 1.14 (95%CI: 1.04 to 1.24)), pyrethroid (pooled OR = 1.40 (95%CI: 1.09 to 1.80)), and maternal age ≥30 years old (pooled OR = 1.24 (95%CI: 1.10 to 1.40)) increased the risk of ASD in offspring. Maternal organochlorine pesticides (OCPs) exposure was a risk factor for ADHD in offspring (pooled OR = 1.22 (95%CI: 1.03 to 1.45)). ConclusionMaternal pesticide exposure increased the risk of ASD and ADHD in offspring. Moreover, OPs, pyrethroid, and maternal age ≥30 years old were found to be risk factors affecting children's ASD. Maternal exposure to OCPs increased the risk of ADHD in offspring. Our findings contribute to our understanding of health risks related to maternal pesticide exposure and indicate that the in utero developmental period is a vulnerable window-of-susceptibility for ASD and ADHD risk in offspring. These findings should guide policies that limit maternal exposure to pesticides, especially for pregnant women living in agricultural areas.

Uptake kinetics and subcellular distribution of three classes of typical pesticides in rice plants

Food safety problems caused by pesticide residues have always been a concern for many people. In this study, we investigated the uptake, translocation and subcellular distribution of neonicotinoid insecticides, triazole fungicides, and sulfonylurea herbicides in rice plants (Oryza sativa L.). The time-dependent uptake kinetics of the three categories of pesticides with different molecular structures fit a first-order one-compartment kinetic model. The neonicotinoids (log Kow −0.66–0.8) were mainly concentrated in the leaves, and the triazoles (log Kow 3.72–4.4) were mainly concentrated in the roots. Neonicotinoid pesticides in the roots were preferentially transported across the membrane through the symplastic pathway; triazole pesticides except for triadimefon and myclobutanil preferentially passed through the symplastic pathway; and sulfonylurea pesticides (log Kow 0.034–2.89) were first transported upward through the apoplastic pathway. In the roots, neonicotinoids, triazoles, and sulfonylurea herbicides were mainly concentrated in the soluble fractions, cell wall and apoplast fractions, respectively. In addition, there was a high positive correlation between the subcellular distribution of pesticides in the roots, stems and leaves. Molecular weight and log Kow jointly affected the enrichment of triazole pesticides in the roots, stems and leaves and the transfer from stems to leaves, while water solubility and log Kow commonly affected neonicotinoids. There was a correlation between pesticide absorption and the molecular structures of pesticides. To develop pesticides with strong uptake and transport capabilities, it is necessary to consider that the electronegativity of some atoms is stronger, the sum of the topological indices of heteroatoms can be large, and the van der Waals volume increases accordingly.

Development of Organochlorine Pesticide Electrochemical Sensor Based on Fe3O4 Nanoparticles@indium Tin Oxide Electrode

AbstractMonitoring food quality and safety need the development of highly sensitive and accurate techniques. Organochlorine pesticides (OCPs) are a widely used category of pesticides. The high toxicity and high stability of OCPs pesticides made their detection the target of several research studies. Chloridazon, one of the wide used OCPs pesticides, and its major degradation product (chloridazon‐desphenyl) have shown high harmful effects. Here, a specific OCPs electrochemical sensor was developed. Fe3O4 nanostructures decorated indium tin oxide (ITO) electrode showed high specificity towards the OCPs because of the capability of chlorine atoms, to interact with the iron oxide NPs. The chemical composition and the morphology of the modified nanosensor were investigated using Fourier transform infrared (FTIR), X‐ray diffraction (XRD), scanning electron microscope (SEM), vibrating sample magnetometer (VSM), energy dispersive x‐ray (EDX), and Raman spectroscopy techniques. The results showed the formation of two morphologies, including spongy agglomerated NPs with100 nm in diameter and nanofibers with 20 nm in thickness. The modified electrode exhibited a high sensitivity with a detection limit of 0.9 μmol L−1. Also, chloridazon was detected in the presence of various interferences, including isoproturon pesticide and urea. Furthermore, chloridazon pesticide was also detected in a surface water sample.

TYPE-II PYRETHROID INDUCED ABNORMALITIES IN Drosophila melanogaster

Biodiversity is a popular issue today. Vast biodiversity is available on our planet from ancient time. Among al groups, insects are very important for ecosystem. Insects are worthy for human beings by many ways viz. - help in pollination, production of useful substances etc. However, many of these insects are very harmful to us in many ways like destroy our crops, stored food products, cause of dreadful diseases. Common categories of pesticides are organophosphate, organochlorine and carbamate which are common pesticides in country and used externally to control this destruction. Now it is necessary to test the potency of pyrethroid for indoor use which are safer comparatively. The present study reveals pyrethroid sample lambda-cyhalothrin tested in Drosophila melanogaster, a dipteran insect. After treatment, a significant change in morphological parameters like decreased larvae number and darkening of caterpillars front and morphometrical changes i.e. decrease in length of larvae, weight of larvae and adult fly weight of Drosophila melanogaster. The obtained data were statistically signified to confirm the biological and appropriate importance of the research work conducted.

Emission of volatile organic compounds (VOCs) from application of commercial pesticides in China

Applying pesticides can result in emissions of volatile organic compounds (VOCs), but little is known about VOC emission characteristics and the quantities in particular regions. We investigated the use of pesticides in China based on a large-scale survey of 330 counties in 31 provinces and evaluated the national pesticide VOC emission potentials based on thermogravimetric analysis of 1930 commercial pesticides. The results showed that herbicides were the most extensively used pesticide category in China, accounting for 43.47%; emulsifiable concentrate (EC), suspension concentrate, and wettable powder were the dominant pesticide formulations, with proportions of 26.75%, 17.68%, and 17.31%, respectively. The VOC emission potential coefficient (EP) of the liquid formulations was higher than the solid formulations, and the maximum mean EP was 45.59% for EC and the minimum was 0.76% for WP. Among 437 high-VOC pesticide products used in China, EC accounted for 83.52%, and 16.93% of those contained abamectin. The total VOC emissions derived from commercial pesticides in China were 280 kt (kilotons) in 2018, and 65.35% of the contribution was derived from EC. Shandong, Hunan, and Henan were the three provinces with the highest pesticide VOC emissions (>21 kt/y). The emission rate of VOCs from pesticides was 24.80 t/d in China, which was higher than in San Joaquin Valley, California. These findings suggest that some comprehensive measures (e.g., perfecting pesticide management policy, strict supervision for pesticide production and use, and strengthening pesticide reduction publicity) should be taken to reduce VOC emissions from pesticide applications.

Prediction Model of Acute Respiratory Failure in Patients with Acute Pesticide Poisoning by Intentional Ingestion: Prediction of Respiratory Failure in Pesticide Intoxication (PREP) Scores in Cohort Study.

Acute respiratory failure is the primary cause of mortality in patients with acute pesticide poisoning. The aim of the present study was to develop a new and efficient score system for predicting acute respiratory failure in patients with acute pesticide poisoning. This study was a retrospective observational cohort study comprised of 679 patients with acute pesticide poisoning by intentional poisoning. We divided this population into a ratio of 3:1; training set (n = 509) and test set (n = 170) for model development and validation. Multivariable logistic regression models were used in developing a score-based prediction model. The Prediction of Respiratory failure in Pesticide intoxication (PREP) scoring system included a summation of the integer scores of the following five variables; age, pesticide category, amount of ingestion, Glasgow Coma Scale, and arterial pH. The PREP scoring system developed accurately predicted respiratory failure (AUC 0.911 [0.849−0.974], positive predictive value 0.773, accuracy 0.873 in test set). We came up with four risk categories (A, B, C and D) using PREP scores 20, 40 and 60 as the cut-off for mechanical ventilation requirement risk. The PREP scoring system developed in the present study could predict respiratory failure in patients with pesticide poisoning, which can be easily implemented in clinical situations. Further prospective studies are needed to validate the PREP scoring system.