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从指纹光谱到智能感知:研究在人参物种识别光谱技术方面的进展

Yuying Jiang^1,2,3, Xi Jin^3,4, Guangming Li^3,4

¹Institute for Complexity Science, Henan University of Technology, Zhengzhou 450001, China.

Foods (Basel, Switzerland)

|February 27, 2026

概括

对Panax草药进行准确的质量控制是具有挑战性的. 本综述强调了先进的振动光谱技术和数据融合策略,用于在传统中医中可靠的Panax认证和质量评估.

科学领域:

分析化学分析化学
频谱学是一种光谱学.
传统中国医学 (TCM) 是一种

背景情况:

帕纳克斯物种在药理上很重要,但很难在TCM中验证和评估其质量.
传统的Panax质量控制方法在速度,吞吐量,非破坏性测量和精度方面存在局限性.
需要现代,可扩展的分析技术来进行强大的Panax草本材料评估.

研究的目的:

审查Panax认证和质量评估的振动和相关光谱技术的最新进展.
在关键质量控制任务中比较不同光谱方法 (IR,NIR,Raman,THz,HSI,NMR) 的能力.
讨论新的数据分析策略,包括多式联运数据融合和机器学习,以改善Panax质量评估.

主要方法:

振动光谱技术的审查:红外 (IR),近红外 (NIR),拉曼,特拉赫兹 (THz),高光谱成像 (HSI) 和核磁共振 (NMR).
技术适用于物种认证,地理来源追踪,年龄歧视和化学标记物量化的技术适度的比较.
讨论数据驱动的传感策略,多式联通数据融合,可解释的机器学习/深度学习.

主要成果:

NIR和HSI在大量Panax样品的快速,高吞吐量选方面表现出色.
拉曼和NMR为详细的分子和结构特征提供了卓越的化学特异性.
多模式数据融合与机器学习相结合,为质量评估提供了强大的模型,克服了单模式限制.

结论:

先进的光谱技术为Panax认证和质量控制提供了改进的解决方案.
整合多种光谱方法和先进的数据分析可以提高可靠性和可扩展性.
这些方法促进了中国草药质量控制工作流程的数字化.

关键词:

帕纳克斯人参是一种人参.伪造检测伪造检测验证真实性的验证.原产地追踪 (原产地追踪)质量评价质量评估质量评价频谱技术是一种光谱技术.

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