Feasibility of Vis/NIR spectroscopy to detect and estimate fungicide residues on intact lettuces

Pesticides are applied repeatedly to grain, fruit, and vegetable crops for protection against pathogens, pests, and weeds, in short periods of time before harvest. The effective and fast monitoring of chemical residues in agricultural products is important for the assurance of healthy food. This stu...

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Main Authors: Antonio José Steidle Neto, Daniela de Carvalho Lopes, Washington Azevêdo da Silva
Format: Article
Language:English
Published: Firenze University Press 2020-05-01
Series:Advances in Horticultural Science
Subjects:
Online Access:https://oaj.fupress.net/index.php/ahs/article/view/8125
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author Antonio José Steidle Neto
Daniela de Carvalho Lopes
Washington Azevêdo da Silva
author_facet Antonio José Steidle Neto
Daniela de Carvalho Lopes
Washington Azevêdo da Silva
author_sort Antonio José Steidle Neto
collection DOAJ
description Pesticides are applied repeatedly to grain, fruit, and vegetable crops for protection against pathogens, pests, and weeds, in short periods of time before harvest. The effective and fast monitoring of chemical residues in agricultural products is important for the assurance of healthy food. This study was accomplished to evaluate the feasibility to detect and estimate the concentration of dithiocarbamate fungicide (mancozeb) residues on intact lettuce leaves based on Vis/NIR spectral reflectance measurements and multivariate data analysis. In the pre-harvest interval, a high initial rate of decline of dithiocarbamate residues was observed between one and seven days after pesticide spraying (decrease of 90.3%), while a slower decline was verified from seventh to fourteenth day (decrease of 8.7%). The usefulness of this spectrometric method has been evidenced by determination of dithiocarbamate residues at concentrations between 0.23 and 10.3 mg CS2 kg-1, with detection and quantitation limits of 0.49 and 1.41 mg CS2 kg-1, respectively. Vis/NIR spectral reflectance combined to the partial least square analysis have potential to be applied for estimating dithiocarbamate concentrations on intact lettuce leaves, presenting advantages such as real-time measurements and the possibility to be built into the industrial processing lines.
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spelling doaj.art-701a2490fd6449fba286e38dc04909312022-12-22T01:28:22ZengFirenze University PressAdvances in Horticultural Science0394-61691592-15732020-05-0134210.13128/ahsc-8125Feasibility of Vis/NIR spectroscopy to detect and estimate fungicide residues on intact lettucesAntonio José Steidle Neto0Daniela de Carvalho Lopes1Washington Azevêdo da Silva2Federal University of São João del-ReiFederal University of São João del-ReiFederal University of São João del-ReiPesticides are applied repeatedly to grain, fruit, and vegetable crops for protection against pathogens, pests, and weeds, in short periods of time before harvest. The effective and fast monitoring of chemical residues in agricultural products is important for the assurance of healthy food. This study was accomplished to evaluate the feasibility to detect and estimate the concentration of dithiocarbamate fungicide (mancozeb) residues on intact lettuce leaves based on Vis/NIR spectral reflectance measurements and multivariate data analysis. In the pre-harvest interval, a high initial rate of decline of dithiocarbamate residues was observed between one and seven days after pesticide spraying (decrease of 90.3%), while a slower decline was verified from seventh to fourteenth day (decrease of 8.7%). The usefulness of this spectrometric method has been evidenced by determination of dithiocarbamate residues at concentrations between 0.23 and 10.3 mg CS2 kg-1, with detection and quantitation limits of 0.49 and 1.41 mg CS2 kg-1, respectively. Vis/NIR spectral reflectance combined to the partial least square analysis have potential to be applied for estimating dithiocarbamate concentrations on intact lettuce leaves, presenting advantages such as real-time measurements and the possibility to be built into the industrial processing lines.https://oaj.fupress.net/index.php/ahs/article/view/8125dithiocarbamateLactuca sativa L.multivariate data analysisspectral reflectance
spellingShingle Antonio José Steidle Neto
Daniela de Carvalho Lopes
Washington Azevêdo da Silva
Feasibility of Vis/NIR spectroscopy to detect and estimate fungicide residues on intact lettuces
Advances in Horticultural Science
dithiocarbamate
Lactuca sativa L.
multivariate data analysis
spectral reflectance
title Feasibility of Vis/NIR spectroscopy to detect and estimate fungicide residues on intact lettuces
title_full Feasibility of Vis/NIR spectroscopy to detect and estimate fungicide residues on intact lettuces
title_fullStr Feasibility of Vis/NIR spectroscopy to detect and estimate fungicide residues on intact lettuces
title_full_unstemmed Feasibility of Vis/NIR spectroscopy to detect and estimate fungicide residues on intact lettuces
title_short Feasibility of Vis/NIR spectroscopy to detect and estimate fungicide residues on intact lettuces
title_sort feasibility of vis nir spectroscopy to detect and estimate fungicide residues on intact lettuces
topic dithiocarbamate
Lactuca sativa L.
multivariate data analysis
spectral reflectance
url https://oaj.fupress.net/index.php/ahs/article/view/8125
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AT danieladecarvalholopes feasibilityofvisnirspectroscopytodetectandestimatefungicideresiduesonintactlettuces
AT washingtonazevedodasilva feasibilityofvisnirspectroscopytodetectandestimatefungicideresiduesonintactlettuces