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Establishment of a method for determining the origin of glutamic acid in processed food based on carbon and nitrogen stable isotope ratios
We developed a discriminant method based on the stable isotope ratio of carbon and nitrogen (δ(13)C and δ(15)N) to evaluate whether monosodium glutamate (MSG) is used in processed food samples. δ(13)C measurements were performed by elemental analyzer/isotope-ratio mass spectrometry (EA/IRMS) for on...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6351430/ https://www.ncbi.nlm.nih.gov/pubmed/30723836 http://dx.doi.org/10.1016/j.heliyon.2019.e01169 |
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author | Kobayashi, Kazuhiro Yatsukawa, Yoichi Tanaka, Masaharu Tanabe, Soichi Tanaka, Mitsuru Suzuki, Takuya |
author_facet | Kobayashi, Kazuhiro Yatsukawa, Yoichi Tanaka, Masaharu Tanabe, Soichi Tanaka, Mitsuru Suzuki, Takuya |
author_sort | Kobayashi, Kazuhiro |
collection | PubMed |
description | We developed a discriminant method based on the stable isotope ratio of carbon and nitrogen (δ(13)C and δ(15)N) to evaluate whether monosodium glutamate (MSG) is used in processed food samples. δ(13)C measurements were performed by elemental analyzer/isotope-ratio mass spectrometry (EA/IRMS) for on glutamic acid isolated from samples at high purity, and δ(15)N measurements were performed by gas chromatography/combustion/IRMS (GC/C/IRMS) following the purification and derivatization steps. By applying these methods, the δ(13)C and δ(15)N values for glutamic acid present in a wide variety of processed foods were obtained. Subsequently, discriminant analysis, which is a statistical analysis method, was performed by using the δ(13)C and δ(15)N values from seasoning MSG and glutamic acid from foodstuffs of known origin, and the discriminant function was derived. By substituting the measured δ(13)C and δ(15)N values of processed food samples into this discriminant function and classifying samples into two groups, seasoning MSG (the seasoning group) and glutamic acid in foodstuffs (the foodstuff group), we determined whether seasoning MSG had been used in the processed food samples. As a result, the accuracy of distinguishing between the seasoning group and the foodstuff group was very high, i.e., 96.2%, indicating that the proposed method is a highly robust and accurate method for determining whether seasoning MSG has been used in for processed foods. |
format | Online Article Text |
id | pubmed-6351430 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-63514302019-02-05 Establishment of a method for determining the origin of glutamic acid in processed food based on carbon and nitrogen stable isotope ratios Kobayashi, Kazuhiro Yatsukawa, Yoichi Tanaka, Masaharu Tanabe, Soichi Tanaka, Mitsuru Suzuki, Takuya Heliyon Article We developed a discriminant method based on the stable isotope ratio of carbon and nitrogen (δ(13)C and δ(15)N) to evaluate whether monosodium glutamate (MSG) is used in processed food samples. δ(13)C measurements were performed by elemental analyzer/isotope-ratio mass spectrometry (EA/IRMS) for on glutamic acid isolated from samples at high purity, and δ(15)N measurements were performed by gas chromatography/combustion/IRMS (GC/C/IRMS) following the purification and derivatization steps. By applying these methods, the δ(13)C and δ(15)N values for glutamic acid present in a wide variety of processed foods were obtained. Subsequently, discriminant analysis, which is a statistical analysis method, was performed by using the δ(13)C and δ(15)N values from seasoning MSG and glutamic acid from foodstuffs of known origin, and the discriminant function was derived. By substituting the measured δ(13)C and δ(15)N values of processed food samples into this discriminant function and classifying samples into two groups, seasoning MSG (the seasoning group) and glutamic acid in foodstuffs (the foodstuff group), we determined whether seasoning MSG had been used in the processed food samples. As a result, the accuracy of distinguishing between the seasoning group and the foodstuff group was very high, i.e., 96.2%, indicating that the proposed method is a highly robust and accurate method for determining whether seasoning MSG has been used in for processed foods. Elsevier 2019-01-25 /pmc/articles/PMC6351430/ /pubmed/30723836 http://dx.doi.org/10.1016/j.heliyon.2019.e01169 Text en © 2019 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Kobayashi, Kazuhiro Yatsukawa, Yoichi Tanaka, Masaharu Tanabe, Soichi Tanaka, Mitsuru Suzuki, Takuya Establishment of a method for determining the origin of glutamic acid in processed food based on carbon and nitrogen stable isotope ratios |
title | Establishment of a method for determining the origin of glutamic acid in processed food based on carbon and nitrogen stable isotope ratios |
title_full | Establishment of a method for determining the origin of glutamic acid in processed food based on carbon and nitrogen stable isotope ratios |
title_fullStr | Establishment of a method for determining the origin of glutamic acid in processed food based on carbon and nitrogen stable isotope ratios |
title_full_unstemmed | Establishment of a method for determining the origin of glutamic acid in processed food based on carbon and nitrogen stable isotope ratios |
title_short | Establishment of a method for determining the origin of glutamic acid in processed food based on carbon and nitrogen stable isotope ratios |
title_sort | establishment of a method for determining the origin of glutamic acid in processed food based on carbon and nitrogen stable isotope ratios |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6351430/ https://www.ncbi.nlm.nih.gov/pubmed/30723836 http://dx.doi.org/10.1016/j.heliyon.2019.e01169 |
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