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基于智能感官评价系统的生品与麸炒品比较分析

A Comparative Analysis of Raw and Bran-Fried Based on the Intelligent Sensory Evaluation System.

作者信息

Le Yingna, Yang Zhongjian, Wang Ruiping, Ma Shaolong, Cui Yang, Shi Kun, Xin Li, Zhang Jinlian, Zhong Lingyun

机构信息

School of Pharmacy, Jiangxi University of Chinese Medicine, No. 1688, Meiling Avenue, Xinjian District, Nanchang 330004, China.

School of Pharmacy, Nanchang Medical College, Nanchang 330052, China.

出版信息

Metabolites. 2025 May 20;15(5):338. doi: 10.3390/metabo15050338.

Abstract

The study aimed to investigate the differences in odor, color, and taste characteristics between raw and bran-fried (RATR and BATR) using advanced sensory evaluation technologies. The objective was to establish a reliable differential analysis method for distinguishing RATR and BATR slices to support quality control in herbal processing. The Heracles NEO ultra-fast gas-phase electronic nose was employed to analyze odor profiles, while electronic eye and electronic tongue technologies were used to assess color and taste differences, respectively. Odor fingerprint analysis identified key volatile components, and colorimetric and taste measurements were conducted to compare RATR and BATR samples. Fifteen characteristic odor components were identified, with methanol, 2-propanol, and 2-cyclopentenone potentially serving as discriminant markers differentiating RATR and BATR. PCA demonstrated exceptional separation efficacy, with a cumulative contribution rate of 99.937% for the primary components. The integration of Heracles NEO electronic nose, electronic eye, and electronic tongue technologies effectively distinguished RATR from BATR. This approach provides a novel strategy for online quality monitoring in herbal slice production and offers a robust analytical framework for the identification and quality assessment of processed herbal medicines.

摘要

本研究旨在利用先进的感官评价技术,调查生品与麸炒品(生艾叶与麸炒艾叶)之间的气味、颜色和味道特征差异。目的是建立一种可靠的鉴别分析方法,以区分生艾叶片与麸炒艾叶片,为中药炮制过程中的质量控制提供支持。采用Heracles NEO超快速气相电子鼻分析气味特征,同时分别利用电子眼和电子舌技术评估颜色和味道差异。气味指纹分析确定了关键挥发性成分,并进行了比色和味道测量,以比较生艾叶与麸炒艾叶样品。鉴定出15种特征气味成分,甲醇、2-丙醇和2-环戊烯酮可能作为区分生艾叶与麸炒艾叶的判别标志物。主成分分析显示出卓越的分离效果,主成分的累积贡献率为99.937%。Heracles NEO电子鼻、电子眼和电子舌技术的结合有效地区分了生艾叶与麸炒艾叶。该方法为中药饮片生产中的在线质量监测提供了一种新策略,并为炮制中药的鉴别和质量评估提供了一个强大的分析框架。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb21/12113893/ef948c6f4d96/metabolites-15-00338-g001.jpg

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