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基于SERS技术的三种常见香料提取物的快速定性识别和定量检测

Manhong Zhang¹, Shijie Liu¹, Zhengyan Gai²

¹College of Food Science and Technology, Henan Agricultural University, Zhengzhou 450002, PR China; Sauce Braised and Prefabricated Products Modern Production School Enterprise Research and Development Center, Henan Agricultural University, Zhengzhou 450002, PR China.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy

|December 4, 2025

概括

这项研究开发了一种使用金纳米粒子 (AuNPs) 和表面增强拉曼光谱 (SERS) 的香料提取物快速检测方法. 这种技术为食品的质量控制提供了成本效益高效的替代方案.

科学领域:

食品科学食品科学食品科学
分析化学分析化学
频谱学是一种光谱学.

背景情况:

肉产品的质量控制依赖于香料提取物的分析.
目前的方法,如染色体质谱法是复杂的和耗时的.
在食品质量评估中需要快速,经济高效的分析技术.

研究的目的:

开发一种快速分类和识别方法,用于关键的香料提取物 (shikimic acid,xanthoxylin,capsaicin).
为了利用金纳米粒子 (AuNPs) 作为表面增强拉曼光谱 (SERS) 的基板.
用SERS技术建立快速香料提取物检测的基础.

主要方法:

准备金纳米颗粒 (AuNPs) 作为SERS基材.
获取和分析星,四川胡和提取物SERS光谱.
主要成分分析 (PCA) 和线性差异分析 (LDA) 的应用用于光谱分类.
基于SERS光谱和度的数字定量方程的开发.

主要成果:

AuNP显著增强了三种香料提取物的拉曼信号.
SERS光谱清楚地区分了什基米酸,桑托西林和素.
PCA和LDA证实了香料提取物的有效视觉分类.
SERS方法的可重现性很好,相对标准偏差 (RSD) 低于5.5%.

结论:

与AuNPs一起的SERS技术提供了一种可行的方法,可以快速准确地检测香料提取物.
开发的方法为传统分析技术提供了具有成本效益和效率的替代方案.
这项研究为在食品质量控制和认证中应用SERS奠定了基础.

关键词:

澳大利亚国家企业 (AuNPs) 是定性识别是一种定性识别.定量检测检测量检测量检测量检测量检测量检测量这就是 SERS SERS.这是香料提取物.

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