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Jack 叶的α-葡萄糖苷酶抑制作用:一种使用红外指纹图谱进行快速分析的方法。

Alpha-Glucosidase Inhibitory Effect of Jack Leaf: A Rapid Analysis Using Infrared Fingerprinting.

机构信息

Pharmacognosy Research Group, Department of Pharmaceutical Chemistry, Kulliyyah of Pharmacy, International Islamic University Malaysia, Kuantan 25200, Pahang Darul Makmur, Malaysia.

Department of Pharmacy, Faculty of Biological Sciences, University of Chittagong, Chittagong 4331, Bangladesh.

出版信息

Molecules. 2020 Sep 11;25(18):4161. doi: 10.3390/molecules25184161.

Abstract

The plant Jack belongs to the Rubiaceae family and is known in Malaysia as "meroyan sakat/salung". A rapid analytical technique to facilitate the evaluation of the leaves' quality has not been well-established yet. This work aimed therefore to develop a validated analytical technique in order to predict the alpha-glucosidase inhibitory action (AGI) of leaves, applying a Fourier Transform Infrared Spectroscopy (FTIR) fingerprint and utilizing an orthogonal partial least square (OPLS). The dried leaf extracts were prepared by sonication of different ratios of methanol-water solvent (0, 25, 50, 75, and 100% /) prior to the assessment of alpha-glucosidase inhibition (AGI) and the following infrared spectroscopy. The correlation between the biological activity and the spectral data was evaluated using multivariate data analysis (MVDA). The 100% methanol extract possessed the highest inhibitory activity against the alpha-glucosidase (IC 2.83 ± 0.32 μg/mL). Different bioactive functional groups, including hydroxyl (O-H), alkenyl (C=C), methylene (C-H), carbonyl (C=O), and secondary amine (N-H) groups, were detected by the multivariate analysis. These functional groups actively induced the alpha-glucosidase inhibition effect. This finding demonstrated the spectrum profile of the FTIR for the natural herb Jack, further confirming its medicinal value. The developed validated model can be used to predict the AGI of , which will be useful as a tool in the plant's quality control.

摘要

该植物杰克属于茜草科,在马来西亚被称为“meroyan sakat/salung”。一种促进评估叶子质量的快速分析技术尚未得到很好的建立。因此,这项工作旨在开发一种经过验证的分析技术,以预测叶子的α-葡萄糖苷酶抑制作用(AGI),应用傅里叶变换红外光谱(FTIR)指纹和利用正交偏最小二乘(OPLS)。在评估α-葡萄糖苷酶抑制(AGI)和随后的红外光谱之前,通过超声处理不同比例的甲醇-水溶剂(0、25、50、75 和 100%/)制备干燥的叶提取物。使用多元数据分析(MVDA)评估生物活性与光谱数据之间的相关性。100%甲醇提取物对α-葡萄糖苷酶具有最高的抑制活性(IC 2.83±0.32μg/mL)。多元分析检测到不同的生物活性功能基团,包括羟基(O-H)、烯基(C=C)、亚甲基(C-H)、羰基(C=O)和仲胺(N-H)基团。这些功能基团积极诱导α-葡萄糖苷酶抑制作用。这一发现证明了 FTIR 在天然草药杰克中的光谱特征,进一步证实了其药用价值。所开发的验证模型可用于预测的 AGI,这将作为该植物质量控制的有用工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/def6/7570612/805c69d8629c/molecules-25-04161-g001.jpg

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