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作 者:熊晨汝 吴浩平 徐婧 罗思恒 郑淑凤 唐立超 王亚君 许永彬 刘国坤 XIONG Chen-ru;WU Hao-ping;XU Jing;LUO Si-heng;ZHENG Shu-feng;TANG Li-chao;WANG Ya-jun;XU Yong-bin;LIU Guo-kun(College of the Environment and Ecology,Xiamen University,Xiamen 361102,China;College of Chemistry and Chemical Engineering,Xiamen University,Xiamen 361005,China;Xiamen Food and Drug Quality Inspection Institute,Xiamen 361006,China)
机构地区:[1]厦门大学环境与生态学院,福建厦门361102 [2]厦门大学化学化工学院,福建厦门361005 [3]厦门市食品药品质量检验研究院,福建厦门361006
出 处:《分析测试学报》2023年第6期743-748,共6页Journal of Instrumental Analysis
基 金:国家自然科学基金项目(22272139,21974112)。
摘 要:药物生产过程中的质量控制与市售成品药物的生产溯源是保障消费者用药安全的关键环节。目前常见的药物分析方法存在操作繁琐或抗干扰能力差等问题,实现高效快速的药物分析仍是尚未解决的难题。基于表面增强拉曼光谱(SERS)的指纹图谱高分辨能力和痕量检测灵敏度,结合主成分分析(PCA)方法对弱信号的准确识别和分类能力,该文开展了氢溴酸右美沙芬止咳糖浆成品药的产地溯源(不同厂家)和产品质控(某一厂家)的可行性研究。通过支持向量机(SVM)分类算法验证,SERS-PCA方法对不同厂家分类的准确度为100%。研究结果为推动“SERS+化学计量学”在药物分析领域的实际应用提供了一种切实可行的参考方案。Quality control in the drug production and traceability of commercial drugs are crucial in drug administration.Given that the cumbersome operation and poor anti-interference ability still oc⁃cur in the common drug analysis methods,realizing efficient and rapid drug analysis remains an un⁃solved problem.Here,based on the fingerprinting high resolution and trace level high sensitivity of surface-enhanced Raman spectroscopy(SERS),as well as the accurate identification and extraction of weak signals by principal component analysis(PCA),a feasibility study on the product tracing(dif⁃ferent manufacturers)and quality control(the same manufacturer)of dextromethorphan hydrobromide cough syrup is well achieved.The classification by support vector machine(SVM)confirms that the identification accuracy for products from different manufacturers is 100%by SERS-PCA.The pro⁃posed SERS-based strategy provides an available method for promoting the practical application of“SERS+chemometrics”in the field of drug analysis.
关 键 词:表面增强拉曼光谱(SERS) 氢溴酸右美沙芬 主成分分析(PCA) 样品溯源 质量分析
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