Quality analysis and characteristic difference identification of organic tea and conventional planting tea based on ICP, HPLC and machine algorithm

IF 6.5 1区 农林科学 Q1 CHEMISTRY, APPLIED Food Chemistry: X Pub Date : 2025-02-01 DOI:10.1016/j.fochx.2025.102299
De Zhou , Yunfei Hu , Xi He , Lijuan Du , Lian Bao , Ming Zhao , Jinliang Shao , Qingyan Tang
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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.

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来源期刊
Food Chemistry: X
Food Chemistry: X CHEMISTRY, APPLIED-
CiteScore
4.90
自引率
6.60%
发文量
315
审稿时长
55 days
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.
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