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A Molecular Approach for the Detection and Quantification of Tribolium castaneum (Herbst) Infestation in Stored Wheat Flour

RESEARCH BACKGROUND: The presence of insect fragments is one of the major constrains in stored food commodities and it causes considerable loss in the quality of the produce. The management of the pest is viewed as a huge challenge in foodprocessingindustry. Conventionally, the detection of Triboliu...

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Autores principales: Negi, Aditi, Anandharaj, Arunkumar, Kalakandan, Sureshkumar, Rajamani, Meenatchi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: University of Zagreb Faculty of Food Technology and Biotechnology 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8157093/
https://www.ncbi.nlm.nih.gov/pubmed/34084086
http://dx.doi.org/10.17113/ftb.59.01.21.6902
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author Negi, Aditi
Anandharaj, Arunkumar
Kalakandan, Sureshkumar
Rajamani, Meenatchi
author_facet Negi, Aditi
Anandharaj, Arunkumar
Kalakandan, Sureshkumar
Rajamani, Meenatchi
author_sort Negi, Aditi
collection PubMed
description RESEARCH BACKGROUND: The presence of insect fragments is one of the major constrains in stored food commodities and it causes considerable loss in the quality of the produce. The management of the pest is viewed as a huge challenge in foodprocessingindustry. Conventionally, the detection of Tribolium castenaum in the food processing industry is carried out by acid hydrolysis and staining methods that are time consuming and lack precision. EXPERIMENTAL APPROACH: Considering the importance of a quick and effective method, a quantitative polymerase chain reaction (qPCR)-based approach was developed and elucidated in this study. The mitochondrial cytochrome oxidase I (mtCOI) gene was identified as a target due to its abundance in the pest. Specific primers were designed against the target gene by Primer Premier software and amplified in a qPCR. RESULTS AND CONCLUSIONS: This method is capable of detecting all the ontogenic stages of T. castaneum in stored wheat flour. Earlier experiments had demonstrated that about 20 µg of DNA can be obtained from 2.2 mg of insects. To quantify the infestation levels, the cycle threshold (Ct) values obtained from known samples were subjected to regression analysis and expressed as adult equivalents. In the unknown samples, the infestation was calculated as 1.74 and 0.046 adult insects in 5 g of wheat flour. The maximum permissible limit of insect fragments in flour is 75 insect fragments or approx. 3 adults per 50 g of flour as per the US Food and Drug Administration (FDA). Hence, by adopting this new method, it is possible for the warehouse operators to arrive at a decision to proceed with efficient management practices where wheat flour is stored. Also, this method can be ratified by government agencies associated with international business to ascertain whether the wheat flour meets the standards set by the respective country before subjecting to foreign trade. NOVELTY AND SCIENTIFIC CONTRIBUTION: This study is the first of its kind in the detection and quantification of T. castaneum in milled products. So far, only conventional methods have been employed to assess the presence of the pests and manual counting of fragments are practiced to quantify the infestation levels. The developed qPCR method is faster, reliable and can be employed in milling industries, bakery industries, food processing plants and foreign trade units for critical detection and quantification of T. castaneum pest infestation.
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spelling pubmed-81570932021-06-02 A Molecular Approach for the Detection and Quantification of Tribolium castaneum (Herbst) Infestation in Stored Wheat Flour Negi, Aditi Anandharaj, Arunkumar Kalakandan, Sureshkumar Rajamani, Meenatchi Food Technol Biotechnol Original Scientific Papers RESEARCH BACKGROUND: The presence of insect fragments is one of the major constrains in stored food commodities and it causes considerable loss in the quality of the produce. The management of the pest is viewed as a huge challenge in foodprocessingindustry. Conventionally, the detection of Tribolium castenaum in the food processing industry is carried out by acid hydrolysis and staining methods that are time consuming and lack precision. EXPERIMENTAL APPROACH: Considering the importance of a quick and effective method, a quantitative polymerase chain reaction (qPCR)-based approach was developed and elucidated in this study. The mitochondrial cytochrome oxidase I (mtCOI) gene was identified as a target due to its abundance in the pest. Specific primers were designed against the target gene by Primer Premier software and amplified in a qPCR. RESULTS AND CONCLUSIONS: This method is capable of detecting all the ontogenic stages of T. castaneum in stored wheat flour. Earlier experiments had demonstrated that about 20 µg of DNA can be obtained from 2.2 mg of insects. To quantify the infestation levels, the cycle threshold (Ct) values obtained from known samples were subjected to regression analysis and expressed as adult equivalents. In the unknown samples, the infestation was calculated as 1.74 and 0.046 adult insects in 5 g of wheat flour. The maximum permissible limit of insect fragments in flour is 75 insect fragments or approx. 3 adults per 50 g of flour as per the US Food and Drug Administration (FDA). Hence, by adopting this new method, it is possible for the warehouse operators to arrive at a decision to proceed with efficient management practices where wheat flour is stored. Also, this method can be ratified by government agencies associated with international business to ascertain whether the wheat flour meets the standards set by the respective country before subjecting to foreign trade. NOVELTY AND SCIENTIFIC CONTRIBUTION: This study is the first of its kind in the detection and quantification of T. castaneum in milled products. So far, only conventional methods have been employed to assess the presence of the pests and manual counting of fragments are practiced to quantify the infestation levels. The developed qPCR method is faster, reliable and can be employed in milling industries, bakery industries, food processing plants and foreign trade units for critical detection and quantification of T. castaneum pest infestation. University of Zagreb Faculty of Food Technology and Biotechnology 2021-03 /pmc/articles/PMC8157093/ /pubmed/34084086 http://dx.doi.org/10.17113/ftb.59.01.21.6902 Text en https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution (CC BY) 4.0 License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Scientific Papers
Negi, Aditi
Anandharaj, Arunkumar
Kalakandan, Sureshkumar
Rajamani, Meenatchi
A Molecular Approach for the Detection and Quantification of Tribolium castaneum (Herbst) Infestation in Stored Wheat Flour
title A Molecular Approach for the Detection and Quantification of Tribolium castaneum (Herbst) Infestation in Stored Wheat Flour
title_full A Molecular Approach for the Detection and Quantification of Tribolium castaneum (Herbst) Infestation in Stored Wheat Flour
title_fullStr A Molecular Approach for the Detection and Quantification of Tribolium castaneum (Herbst) Infestation in Stored Wheat Flour
title_full_unstemmed A Molecular Approach for the Detection and Quantification of Tribolium castaneum (Herbst) Infestation in Stored Wheat Flour
title_short A Molecular Approach for the Detection and Quantification of Tribolium castaneum (Herbst) Infestation in Stored Wheat Flour
title_sort molecular approach for the detection and quantification of tribolium castaneum (herbst) infestation in stored wheat flour
topic Original Scientific Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8157093/
https://www.ncbi.nlm.nih.gov/pubmed/34084086
http://dx.doi.org/10.17113/ftb.59.01.21.6902
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