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

Abstract 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, organo...

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Autores principales:	Vaishali Dasriya, Ritu Joshi, Soniya Ranveer, Vishal Dhundale, Naresh Kumar, H. V. Raghu
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/59d5cddf57114aeaa287036e853fd2be
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spelling	oai:doaj.org-article:59d5cddf57114aeaa287036e853fd2be2021-12-02T17:26:55ZRapid detection of pesticide in milk, cereal and cereal based food and fruit juices using paper strip-based sensor10.1038/s41598-021-96999-w2045-2322https://doaj.org/article/59d5cddf57114aeaa287036e853fd2be2021-09-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-96999-whttps://doaj.org/toc/2045-2322Abstract 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.Vaishali DasriyaRitu JoshiSoniya RanveerVishal DhundaleNaresh KumarH. V. RaghuNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Vaishali Dasriya Ritu Joshi Soniya Ranveer Vishal Dhundale Naresh Kumar H. V. Raghu Rapid detection of pesticide in milk, cereal and cereal based food and fruit juices using paper strip-based sensor
description	Abstract 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.
format	article
author	Vaishali Dasriya Ritu Joshi Soniya Ranveer Vishal Dhundale Naresh Kumar H. V. Raghu
author_facet	Vaishali Dasriya Ritu Joshi Soniya Ranveer Vishal Dhundale Naresh Kumar H. V. Raghu
author_sort	Vaishali Dasriya
title	Rapid detection of pesticide in milk, cereal and cereal based food and fruit juices using paper strip-based sensor
title_short	Rapid detection of pesticide in milk, cereal and cereal based food and fruit juices using paper strip-based sensor
title_full	Rapid detection of pesticide in milk, cereal and cereal based food and fruit juices using paper strip-based sensor
title_fullStr	Rapid detection of pesticide in milk, cereal and cereal based food and fruit juices using paper strip-based sensor
title_full_unstemmed	Rapid detection of pesticide in milk, cereal and cereal based food and fruit juices using paper strip-based sensor
title_sort	rapid detection of pesticide in milk, cereal and cereal based food and fruit juices using paper strip-based sensor
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/59d5cddf57114aeaa287036e853fd2be
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Rapid detection of pesticide in milk, cereal and cereal based food and fruit juices using paper strip-based sensor

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