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Comprehensive detection of 120 additives in food using nontargeted MS data acquisition
The compliance assessment on the labeling of food additives is a hard job, because there are nearly thousand legal food additives can be used in food, and countless illegal additives must also deal with. This study developed a non-targeted data acquisition screening method based on liquid chromatogr...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taiwan Food and Drug Administration
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9261784/ https://www.ncbi.nlm.nih.gov/pubmed/35696247 http://dx.doi.org/10.38212/2224-6614.3366 |
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author | Hsu, Che-Lun Fang, Mingchih Tseng, Hui-Chun Lin, Ya-Tze Tseng, Su-Hsiang Wang, Der-Yuan Hwang, Deng-Fwu |
author_facet | Hsu, Che-Lun Fang, Mingchih Tseng, Hui-Chun Lin, Ya-Tze Tseng, Su-Hsiang Wang, Der-Yuan Hwang, Deng-Fwu |
author_sort | Hsu, Che-Lun |
collection | PubMed |
description | The compliance assessment on the labeling of food additives is a hard job, because there are nearly thousand legal food additives can be used in food, and countless illegal additives must also deal with. This study developed a non-targeted data acquisition screening method based on liquid chromatography high resolution mass spectrometry (HRMS) in which a precursor ion and two product ions of each analyte are able to be recorded. The high throughput screening method worked as foodomics that characterized and identified every food components as long as they were ionized in terms of theory. The data acquisition method called data independent acquisition (DIA) was achieved by a full scan form m/z 70–1050, and then followed wide window fragmentations of product ions recording. A full scan and the followed fragmentations generated 21 spectra in 2.6 s contributed about 6 data points for a typical 0.2–0.3 min width peak in HPLC. A detection database list of 120 additives included 79 colorants, 13 sweeteners, 12 preservatives and 7 antioxidants was established. Thirty-three commercial samples including beverages, candies, and sauces were surveyed for testing additives. Sweeteners (rebaudioside A) and flavoring agents (malic acid and fumaric acid) were found the most under declared additives. HPLC column often do not provide adequate retention for highly polar compounds such as organic acids (flavoring agents). In this study they were coeluted, but were able to be separated and determined by HRMS worked as the secondary separation tool. The surveillance results showed there is still room for food manufacturers to improve the connection between their product information and consumers. |
format | Online Article Text |
id | pubmed-9261784 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Taiwan Food and Drug Administration |
record_format | MEDLINE/PubMed |
spelling | pubmed-92617842022-07-18 Comprehensive detection of 120 additives in food using nontargeted MS data acquisition Hsu, Che-Lun Fang, Mingchih Tseng, Hui-Chun Lin, Ya-Tze Tseng, Su-Hsiang Wang, Der-Yuan Hwang, Deng-Fwu J Food Drug Anal Original Article The compliance assessment on the labeling of food additives is a hard job, because there are nearly thousand legal food additives can be used in food, and countless illegal additives must also deal with. This study developed a non-targeted data acquisition screening method based on liquid chromatography high resolution mass spectrometry (HRMS) in which a precursor ion and two product ions of each analyte are able to be recorded. The high throughput screening method worked as foodomics that characterized and identified every food components as long as they were ionized in terms of theory. The data acquisition method called data independent acquisition (DIA) was achieved by a full scan form m/z 70–1050, and then followed wide window fragmentations of product ions recording. A full scan and the followed fragmentations generated 21 spectra in 2.6 s contributed about 6 data points for a typical 0.2–0.3 min width peak in HPLC. A detection database list of 120 additives included 79 colorants, 13 sweeteners, 12 preservatives and 7 antioxidants was established. Thirty-three commercial samples including beverages, candies, and sauces were surveyed for testing additives. Sweeteners (rebaudioside A) and flavoring agents (malic acid and fumaric acid) were found the most under declared additives. HPLC column often do not provide adequate retention for highly polar compounds such as organic acids (flavoring agents). In this study they were coeluted, but were able to be separated and determined by HRMS worked as the secondary separation tool. The surveillance results showed there is still room for food manufacturers to improve the connection between their product information and consumers. Taiwan Food and Drug Administration 2021-09-15 /pmc/articles/PMC9261784/ /pubmed/35696247 http://dx.doi.org/10.38212/2224-6614.3366 Text en © 2021 Taiwan Food and Drug Administration https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) ). |
spellingShingle | Original Article Hsu, Che-Lun Fang, Mingchih Tseng, Hui-Chun Lin, Ya-Tze Tseng, Su-Hsiang Wang, Der-Yuan Hwang, Deng-Fwu Comprehensive detection of 120 additives in food using nontargeted MS data acquisition |
title | Comprehensive detection of 120 additives in food using nontargeted MS data acquisition |
title_full | Comprehensive detection of 120 additives in food using nontargeted MS data acquisition |
title_fullStr | Comprehensive detection of 120 additives in food using nontargeted MS data acquisition |
title_full_unstemmed | Comprehensive detection of 120 additives in food using nontargeted MS data acquisition |
title_short | Comprehensive detection of 120 additives in food using nontargeted MS data acquisition |
title_sort | comprehensive detection of 120 additives in food using nontargeted ms data acquisition |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9261784/ https://www.ncbi.nlm.nih.gov/pubmed/35696247 http://dx.doi.org/10.38212/2224-6614.3366 |
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