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Component analysis using UPLC-Q-TOF/MS and quality evaluation using fingerprinting and chemometrics for hops.
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- Author(s): Gao H;Gao H; Wang Q; Wang Q; Qi Q; Qi Q; He W; He W; Li W; Li W
- Source:
Food chemistry [Food Chem] 2024 Nov 01; Vol. 457, pp. 140113. Date of Electronic Publication: 2024 Jun 15.
- Publication Type:
Journal Article; Evaluation Study
- Language:
English
- Additional Information
- Source:
Publisher: Elsevier Applied Science Publishers Country of Publication: England NLM ID: 7702639 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-7072 (Electronic) Linking ISSN: 03088146 NLM ISO Abbreviation: Food Chem Subsets: MEDLINE
- Publication Information:
Publication: Barking : Elsevier Applied Science Publishers
Original Publication: Barking, Eng., Applied Science Publishers.
- Subject Terms:
- Abstract:
Hops, extensively cultivated in China for their food and medicinal applications, currently lack well-defined chemical markers to evaluate variations in their quality. The study aimed to explore variations in the quality of Chinese hops by the chemical characteristics of hops, employing UPLC-Q-TOF/MS, integrated with chemical fingerprinting and chemometrics. The results indicated that Chinese hops are abundant in polyphenols and bitter acids. The integration of UPLC-Q-TOF/MS, Chemical fingerprinting, and chemometrics revealed to be an accurate and effective approach for assessing the quality of Chinese hops. In this study, ten important chemical markers were found to be useful in differentiating various hop varieties. Moreover, the support vector machine showed a prediction accuracy of 92.3077% in identifying Chinese hop varieties. The strategy of the study lays the groundwork for classifying Chinese hop varieties and serves as a prerequisite for future quality control studies, particularly focusing on chemical compositions.
Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2024 Elsevier Ltd. All rights reserved.)
- Contributed Indexing:
Keywords: Chemical fingerprints; Chemometrics; Hops; Quality evaluation; UPLC-Q-TOF-MS
- Accession Number:
0 (Polyphenols)
0 (Plant Extracts)
- Publication Date:
Date Created: 20240620 Date Completed: 20240806 Latest Revision: 20240806
- Publication Date:
20240806
- Accession Number:
10.1016/j.foodchem.2024.140113
- Accession Number:
38901344
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