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Geographical Discrimination of Hulless Barley Based on Quality Traits, Volatiles, and Metabolomic Profiling Combined with Chemometrics.

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Title: Geographical Discrimination of Hulless Barley Based on Quality Traits, Volatiles, and Metabolomic Profiling Combined with Chemometrics.
Authors: Liang, Lijing1,2 (AUTHOR), Jia, Junjie3,4 (AUTHOR), Li, Ling3,4 (AUTHOR), Zhang, Liqiang3,4 (AUTHOR), Ma, Long3,4 (AUTHOR), Wang, Songtao3,4 (AUTHOR), Feng, Zongyun2 (AUTHOR) zyfeng49@126.com, Kassem, Jihan (AUTHOR)
Source: Journal of Food Biochemistry. 9/25/2024, Vol. 2024, p1-13. 13p.
Subjects: Food traceability, Discriminant analysis, Consumer confidence, Least squares, Barley
Abstract: The geographical traceability of food products is crucial for quality assurance and consumer confidence. The chemical profile and taste quality of hulless barley vary considerably across different production areas, making the determination of its geographical origin and the identification of relevant geographical biomarkers essential. In this study, the quality traits, volatile compounds, and metabolites of 20 hulless barley cultivars from four primary producing areas were investigated. Multivariate analysis showed that there were significant differences in hulless barley from different regions (p < 0.05). The orthogonal partial least squares discriminant analysis (OPLS‐DA) models exhibited good performance in terms of origin discrimination, identifying 27 volatiles and 86 metabolites that could be used as candidate markers for separation. Redundancy analysis (RDA) and correlation matrix analysis revealed that numerous candidate markers were closely related to soil chemical and climate parameters. The results demonstrate that quality traits, volatile compounds, and metabolites can be used to effectively distinguish the geographical origins of hulless barley, thereby confirming that there is a robust link between metabolite expression and environmental factors. This work highlights that chemical profiling, combined with chemometric techniques (the application of statistical and mathematical methods to chemical data), provides a valuable tool for the geographical discrimination of hulless barley. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Food Biochemistry is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Geographical Discrimination of Hulless Barley Based on Quality Traits, Volatiles, and Metabolomic Profiling Combined with Chemometrics.
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  Data: &lt;searchLink fieldCode=&quot;JN&quot; term=&quot;%22Journal+of+Food+Biochemistry%22&quot;&gt;Journal of Food Biochemistry&lt;/searchLink&gt;. 9/25/2024, Vol. 2024, p1-13. 13p.
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  Data: The geographical traceability of food products is crucial for quality assurance and consumer confidence. The chemical profile and taste quality of hulless barley vary considerably across different production areas, making the determination of its geographical origin and the identification of relevant geographical biomarkers essential. In this study, the quality traits, volatile compounds, and metabolites of 20 hulless barley cultivars from four primary producing areas were investigated. Multivariate analysis showed that there were significant differences in hulless barley from different regions (p &lt; 0.05). The orthogonal partial least squares discriminant analysis (OPLS‐DA) models exhibited good performance in terms of origin discrimination, identifying 27 volatiles and 86 metabolites that could be used as candidate markers for separation. Redundancy analysis (RDA) and correlation matrix analysis revealed that numerous candidate markers were closely related to soil chemical and climate parameters. The results demonstrate that quality traits, volatile compounds, and metabolites can be used to effectively distinguish the geographical origins of hulless barley, thereby confirming that there is a robust link between metabolite expression and environmental factors. This work highlights that chemical profiling, combined with chemometric techniques (the application of statistical and mathematical methods to chemical data), provides a valuable tool for the geographical discrimination of hulless barley. [ABSTRACT FROM AUTHOR]
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  Data: &lt;i&gt;Copyright of Journal of Food Biochemistry is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder&#39;s express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.&lt;/i&gt; (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1155/2024/1424094
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 13
        StartPage: 1
    Subjects:
      – SubjectFull: Food traceability
        Type: general
      – SubjectFull: Discriminant analysis
        Type: general
      – SubjectFull: Consumer confidence
        Type: general
      – SubjectFull: Least squares
        Type: general
      – SubjectFull: Barley
        Type: general
    Titles:
      – TitleFull: Geographical Discrimination of Hulless Barley Based on Quality Traits, Volatiles, and Metabolomic Profiling Combined with Chemometrics.
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            NameFull: Liang, Lijing
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            NameFull: Li, Ling
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            – D: 25
              M: 09
              Text: 9/25/2024
              Type: published
              Y: 2024
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