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用于定量植物性药物和补充剂中化合物的红外光谱技术。

Infrared spectroscopy technique for quantification of compounds in plant-based medicine and supplement.

作者信息

Junaedi Effan Cahyati, Lestari Keri, Muchtaridi Muchtaridi

机构信息

Department of Pharmaceutical Analysis and Medicinal Chemistry, Universitas Padjadjaran, Langensari, Indonesia.

Department of Pharmacology and Clincal Pharmacy Faculty of Pharmacy, Universitas Padjadjaran, Langensari, Indonesia.

出版信息

J Adv Pharm Technol Res. 2021 Jan-Mar;12(1):1-7. doi: 10.4103/japtr.JAPTR_96_20. Epub 2021 Jan 9.

Abstract

Quality control of plant-based medicine and supplements must be carried out to ensure uniformity in quality and safety in their use, resulting in the need for effective and accurate analytical methods. Infrared spectroscopy is a method of qualitative and quantitative analysis that is fast, time-saving, cost-effective,accurate, and nondestructive. This method has been applied for quantitative analysis of compounds in complex matrices such as plant-based medicine and supplements supported by chemometrics techniques. The success of infrared spectroscopy applications for quantitative analysis of phytochemicals and adulterants content in plant-based medicine and supplement can happen by several factors. This article highlights the effect of spectral preprocessing and variable selection on quantitative analysis of phytochemical and adulterant in plant-based medicine and supplements using infrared spectroscopy. Literature search was conducted with PubMed, Google Scholar, and Science Direct by selecting quantitative analysis research on plant-based medicines and supplements that utilize spectral preprocessing techniques and variable selection in processing data analysis. The preprocessing spectra and variables selection can affect the accuracy and precision of infrared spectroscopy methods. The variable selection can be done using the wavenumber point technique, the wavenumber interval, or a combination thereof. Variable selection is more commonly used for near-infrared data than for IR data. The optimization of the preprocessing spectra and variables selection technique will be useful in increasing the ability of infrared spectroscopy in predicting compound levels.

摘要

必须对植物性药物和补充剂进行质量控制,以确保其使用过程中的质量和安全性的一致性,这就需要有效且准确的分析方法。红外光谱法是一种定性和定量分析方法,具有快速、省时、经济高效、准确且无损的特点。该方法已应用于对植物性药物和补充剂等复杂基质中化合物的定量分析,并得到了化学计量学技术的支持。红外光谱法在植物性药物和补充剂中植物化学物质和掺假物含量定量分析应用的成功可能受多种因素影响。本文重点介绍了光谱预处理和变量选择对使用红外光谱法对植物性药物和补充剂中植物化学物质和掺假物进行定量分析的影响。通过在PubMed、谷歌学术和科学Direct上进行文献检索,选择利用光谱预处理技术和变量选择进行数据分析的植物性药物和补充剂定量分析研究。预处理光谱和变量选择会影响红外光谱法的准确性和精密度。变量选择可以使用波数点技术、波数区间或两者结合的方式进行。变量选择在近红外数据中比在红外数据中更常用。预处理光谱和变量选择技术的优化将有助于提高红外光谱法预测化合物含量的能力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/081d/7832193/c6145e273bcd/JAPTR-12-1-g001.jpg

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