De Zhou , Yunfei Hu , Xi He , Lijuan Du , Lian Bao , Ming Zhao , Jinliang Shao , Qingyan Tang
{"title":"Quality analysis and characteristic difference identification of organic tea and conventional planting tea based on ICP, HPLC and machine algorithm","authors":"De Zhou , Yunfei Hu , Xi He , Lijuan Du , Lian Bao , Ming Zhao , Jinliang Shao , Qingyan Tang","doi":"10.1016/j.fochx.2025.102299","DOIUrl":null,"url":null,"abstract":"<div><div>With the continuous expansion of the organic tea industry, distinguishing the authenticity of organic tea is crucial to maintain the market's stability. Thus, organic and conventional planting teas (green teas) of Dajianshan were selected as the objects in this study. The components (water extract, polyphenols, mineral element, etc.) were compared by high-performance liquid chromatography, inductively coupled plasma spectrometry, and mass spectrometry. The main difference substances were screened by multivariate statistical analysis methods (PCA, OPLS-DA, and LDA). Results showed significant differences in 37 of 51 components (<em>P</em> < 0.05). Statistical analysis showed 15 components (including amino acids, mineral elements, and catechins, VIP >1) that can be used as the characteristic differences between organic and conventional planting teas. The accuracy of the identification reached 93.9 %, providing a reference for the quality evaluation and identification of organic and conventional planting teas.</div></div>","PeriodicalId":12334,"journal":{"name":"Food Chemistry: X","volume":"26 ","pages":"Article 102299"},"PeriodicalIF":6.5000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Food Chemistry: X","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2590157525001464","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, APPLIED","Score":null,"Total":0}
引用次数: 0
Abstract
With the continuous expansion of the organic tea industry, distinguishing the authenticity of organic tea is crucial to maintain the market's stability. Thus, organic and conventional planting teas (green teas) of Dajianshan were selected as the objects in this study. The components (water extract, polyphenols, mineral element, etc.) were compared by high-performance liquid chromatography, inductively coupled plasma spectrometry, and mass spectrometry. The main difference substances were screened by multivariate statistical analysis methods (PCA, OPLS-DA, and LDA). Results showed significant differences in 37 of 51 components (P < 0.05). Statistical analysis showed 15 components (including amino acids, mineral elements, and catechins, VIP >1) that can be used as the characteristic differences between organic and conventional planting teas. The accuracy of the identification reached 93.9 %, providing a reference for the quality evaluation and identification of organic and conventional planting teas.
期刊介绍:
Food Chemistry: X, one of three Open Access companion journals to Food Chemistry, follows the same aims, scope, and peer-review process. It focuses on papers advancing food and biochemistry or analytical methods, prioritizing research novelty. Manuscript evaluation considers novelty, scientific rigor, field advancement, and reader interest. Excluded are studies on food molecular sciences or disease cure/prevention. Topics include food component chemistry, bioactives, processing effects, additives, contaminants, and analytical methods. The journal welcome Analytical Papers addressing food microbiology, sensory aspects, and more, emphasizing new methods with robust validation and applicability to diverse foods or regions.