Multiresidue analysis and evaluation of the matrix effect on 20 pesticides in Brazilian maize (<i>Zea mays</i> L.) flour

Milhome, Maria Aparecida Liberato; Vieira, S. K. V.; Reges, Bianca Mara; Fernandes, D. R.; Uchôa, Maria Larisse Pinheiro; Pinheiro, António N.; Castro, Rubens Carius de; Silva, V. P. A.; Nobre, C. A.; Menezes, Marília G.G. De; Silva, R. O.; Nascimento, Ronaldo Ferreira do

doi:10.1080/03601234.2019.1640586

Cited by 8 publications

(3 citation statements)

References 25 publications

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“…There were no positive samples found for corn flakes and cookies. While the using modified QuEChERS and GC-MS were used for the detection of pesticide in whole wheat flour samples collected from the south Brazil Region 23 . The detection of fenitrotion in 20% of maize flour samples found less than permissible limits 24 .…”

Section: Resultsmentioning

confidence: 99%

Rapid detection of pesticide in milk, cereal and cereal based food and fruit juices using paper strip-based sensor

Dasriya

Joshi

Ranveer

et al. 2021

Sci Rep

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The study was aimed to validate paper strip sensors for the detection of pesticide residues in milk, cereal-based food, and fruit juices in comparison with GC–MS/MS under field conditions. The detection limit of pesticide using rapid paper strip sensor for organophosphate, carbamate, organochlorine, fungicide, and herbicide group ranges from 1 to 10, 1–50, 250–500, 1–50, and 1 ppb, respectively in milk and milk product, cereal-based food and fruit juices. Among 125 samples of milk samples collected from the market 33 milk samples comprising 31 raw milk and 2 pasteurized milk found positive for pesticide using the strip-based sensor. In cereal based food and fruit juice samples, 6 cereal flours and 4 fruit juices were found positive for pesticide residues. The pesticide positive samples were further evaluated quantitatively using GC–MS/MS wherein 7 samples comprised of raw milk, pasteurized milk, rice flour, wheat flour, maize flour, apple juice, and pomegranate juice have shown the presence of chlorpyrifos, chlorpyrifos-methyl, α-endosulfan, β-endosulfan DDD and DDT at trace level as well as at above MRL level. It is envisaged that the developed paper strip sensor can be a potential tool in the rapid and cost-effective screening of a large number of food samples for pesticide residues.

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Section: Resultsmentioning

confidence: 99%

Rapid detection of pesticide in milk, cereal and cereal based food and fruit juices using paper strip-based sensor

Dasriya

Joshi

Ranveer

et al. 2021

Sci Rep

View full text Add to dashboard Cite

show abstract

“…The European Health and Consumer Guidelines were employed for the validation study (18). The limit of quantification (LOQ), recovery, precision, linearity, the limit of detection (LOD), and specificity of these compounds were evaluated to ensure that the method was able to effectively determine chlorpyrifos, diazinon, and their oxon derivatives in the tomato samples.…”

Section: Validation Studymentioning

confidence: 99%

Residue Content of Organophosphorus Pesticides and their Toxic Metabolites in Greenhouse-Grown Tomatoes during Pre-Harvest Interval and Post-Harvest Processing: A Kinetic Study

Shokoohi

Samadi

Karami

et al. 2020

ircmj

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Background: Organophosphorus pesticides (OPPs) have a wide application throughout the world and exert adverse effects on human health. Moreover, these chemical compounds are responsible for thousands of deaths per year worldwide. Kinetic and mathematical models could be used to optimize the application of pesticides on fruits and vegetables and monitor their residues. Objectives: The present study aimed to model the dissipation of diazinon and chlorpyrifos in different conditions, such as household conditions (e.g., storage at room and refrigerator temperatures, as well as cooking) and field condition for greenhouse tomatoes. Methods: A multi-residue analysis of diazinon, chlorpyrifos, and their oxon derivatives was established by gas chromatography-tandem mass spectrometry. The limit of quantification (LOQ), recovery, precision, linearity, and the limit of detection (LOD) were evaluated to ensure that the method was able to effectively determine the studied pesticides in the tomato samples. The linear and nonlinear kinetic models were presented for chlorpyrifos and diazinon residues in tomato using zero-order, first-order, and second-order equations. Results: Based on the best fitting models for diazinon in the case of laboratory treatment at the refrigerator, room, and boiling temperatures, the half-lives were calculated as 18.79 days, 11.41 days, and 45.39 min, respectively. The half-life of diazinon was lower than that of chlorpyrifos in both field and laboratory treatments. Conclusion: Modeling the removal of the pesticides indicated that the nonlinear first- and second-order models were the best fitted models for the dissipation of both pesticides in field and post-harvest conditions.

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“…O milho (Zea mays L.) é uma cultura agrícola pertencente à família Poaceae, a qual apresenta importância econômica e social, sendo uma das culturas mais utilizadas e cultivadas no mundo, tornando o Brasil o terceiro maior produtor (VARMA et al, 2022), o segundo maior exportador (MILHOME et al, 2019) e a sexta atividade de maior geração de renda na economia agropecuária nacional (CONAB, 2016). A safra 2022/23 brasileira prevê uma produção total de 127,8 milhões de toneladas de milho, um aumento esperado de 12,9% quando comparado a safra anterior (CONAB, 2023).…”

Section: Introductionunclassified

ÍNDICES ESPECTRAIS DE VEGETAÇÃO NO MONITORAMENTO DO MILHO (Zea mays L.) SUBMETIDOS À BIOESTIMULANTES

Luna Neto,

Silva,

Barbosa da Silva

et al. 2023

NAT

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O milho é uma cultura de interesse nacional, sendo um dos principais cereais cultivados no Brasil. Nas últimas décadas, pesquisas aprofundaram-se no uso de bioestimulantes, que asseguram rendimentos agronômicos, tanto em qualidade quanto em produtividade. Os avanços para o monitoramento e caracterização das vastas áreas de plantio do milho estão em constante desenvolvimento, com a utilização de Vant’s utilizando de câmeras que permitem avaliar de maneira remota o estado da cultura em campo. Este trabalho objetivou analisar a variação dos índices de vegetação na cultura do milho submetida à bioestimulantes. O experimento foi realizado no município de Areia, Paraíba, Brasil. Os bioestimulantes aplicados foram o extrato pirolenhoso, extrato de algas (A. nodosum), e o produto a base de três fitohormônios, aplicados em três diferentes doses, em três estágios da cultura: semente, V3, V8, resultando em um fatorial 3x4x3+1(testemunha). As imagens obtidas foram obtidas através de drone DJI com câmera RGB de 12,4 megapixels acoplada, que foram posteriormente processadas, calculados os índices vegetais (NGRDI, SAVI, TGI, EXG). Os resultados obtidos mostraram que houve diferença significativa entre os índices e os dias após plantio, a melhor produtividade foi referente ao tratamento com cinetina; Ácido Giberélico; Ácido Indol-butírico na dose de 6 g/L aplicado na fase V8 da planta, e ocorreu correlação entre o índice NGRDI e SAVI e o teor de clorofila total. Palavras-chave: biorreguladores; índices de vegetação; RGB. Spectral vegetation indices in the monitoring of corn (Zea mays L.) submitted to biostimulants ABSTRACT: Corn is a crop of great national interest, being one of the main grains in Brazil. In recent decades, research has deepened in using biostimulants, which promise to bring both quality and productivity agronomic yields. Advances in the monitoring and characterization of vast areas of corn planting are in constant development, with the use of Vant's cameras that allow the remote assessment of the state of the crop in the field. This work aimed to analyze the interaction of vegetation indices with the corn crop subjected to biostimulants. The experiment was carried out in the municipality of Areia, Paraíba, Brazil. The corn hybrid used was AG1051. The biostimulants were the pyroligneous extract, algae extract (A. nodosum), and the product based on three phytohormones, applied in three different doses, in three stages of the culture: seed, V3, V8, resulting in a 3x4x3+1 factorial (witness). The images obtained were taken using a DJI drone with an attached RGB camera 12.4 megapixels, attached, which were later processed, the plant indices calculated (NGDRI, SAVI, TGI, EXG), and extracted. The results obtained showed that there was a significant difference between the indices and the days after planting; the best productivity was related to the treatment with kinetin; Gibberellic Acid and Indole-butyric acid at a dose of 6 g/L applied in the V8 phase of the plant, and there was a correlation between the NGRDI and SAVI index and the total chlorophyll content Keywords: bioregulators; vegetation indices; RGB.

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Multiresidue analysis and evaluation of the matrix effect on 20 pesticides in Brazilian maize (Zea mays L.) flour

Cited by 8 publications

References 25 publications

Rapid detection of pesticide in milk, cereal and cereal based food and fruit juices using paper strip-based sensor

Rapid detection of pesticide in milk, cereal and cereal based food and fruit juices using paper strip-based sensor

Residue Content of Organophosphorus Pesticides and their Toxic Metabolites in Greenhouse-Grown Tomatoes during Pre-Harvest Interval and Post-Harvest Processing: A Kinetic Study

ÍNDICES ESPECTRAIS DE VEGETAÇÃO NO MONITORAMENTO DO MILHO (Zea mays L.) SUBMETIDOS À BIOESTIMULANTES

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