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使用傅里叶变换红外光谱(FTIR)和超高效液相色谱-四极杆-轨道阱高分辨质谱(UHPLC-Q-Orbitrap HRMS)对两个物种进行非靶向代谢组学分析及其抗氧化和α-葡萄糖苷酶抑制活性评估

Untargeted Metabolomics Analysis Using FTIR and UHPLC-Q-Orbitrap HRMS of Two Species and Evaluation of their Antioxidant and α-Glucosidase Inhibitory Activities.

作者信息

Umar Abdul Halim, Ratnadewi Diah, Rafi Mohamad, Sulistyaningsih Yohana Caecilia

机构信息

Department of Biology, Faculty of Mathematics and Natural Sciences, Graduate School of Plant Biology, Jalan Agatis-Dramaga Campus, IPB University, Bogor 16680, Indonesia.

College of Pharmaceutical Sciences Makassar, STIFA Makassar, Jalan Perintis Kemerdekaan Km. 13.7 Daya, Makassar 90242, Indonesia.

出版信息

Metabolites. 2021 Jan 8;11(1):42. doi: 10.3390/metabo11010042.

DOI:10.3390/metabo11010042
PMID:33430143
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7827591/
Abstract

and have been used as traditional medicines such as antidiabetic and anticancer. This study measured the total phenolics and flavonoid contents as well as analyzed the functional groups and chemical compounds using Fourier-transform infrared (FTIR) spectra and UHPLC-Q-Orbitrap-HRMS profiling for the discrimination of plant parts, geographical origin, and compounds that presumably have a significant contribution as antioxidant and α-glucosidase inhibitors on both plants. The total phenolics and flavonoids contents in species varied from 142.09 to 452.47 mg gallic acid equivalent (GAE/g) and from 0.82 to 5.44 mg quercetin equivalent (QE/g), respectively. The lowest IC for antioxidant and α-glucosidase inhibitory activities is presented by from a higher altitude region. Principal component analysis (PCA) from FTIR and UHPLC-Q-Orbitrap-HRMS data could discriminate the plant parts and geographical origin. Partial least squares (PLS) analysis has identified several functional groups, such as O-H, C-H, C=O, C-C, C-O, and chemical compounds, unknown-185 and unknown-85, that are most likely to contribute to the antioxidant and α-glucosidase inhibitory activities.

摘要

并且已被用作传统药物,如抗糖尿病和抗癌药物。本研究测定了总酚和黄酮含量,并使用傅里叶变换红外(FTIR)光谱和超高效液相色谱-四极杆-轨道阱-高分辨质谱(UHPLC-Q-Orbitrap-HRMS)分析了官能团和化合物,以区分植物部位、地理来源以及可能作为抗氧化剂和α-葡萄糖苷酶抑制剂对两种植物都有显著贡献的化合物。 物种中的总酚和黄酮含量分别在142.09至452.47毫克没食子酸当量(GAE/g)和0.82至5.44毫克槲皮素当量(QE/g)之间变化。来自较高海拔地区的 呈现出最低的抗氧化剂和α-葡萄糖苷酶抑制活性的IC。基于FTIR和UHPLC-Q-Orbitrap-HRMS数据的主成分分析(PCA)可以区分植物部位和地理来源。偏最小二乘法(PLS)分析确定了几个官能团,如O-H、C-H、C=O、C-C、C-O,以及化合物unknown-185和unknown-85,它们最有可能对抗氧化剂和α-葡萄糖苷酶抑制活性有贡献。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09a3/7827591/16224e2820df/metabolites-11-00042-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09a3/7827591/6e06cfff241f/metabolites-11-00042-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09a3/7827591/3772483a239c/metabolites-11-00042-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09a3/7827591/16224e2820df/metabolites-11-00042-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09a3/7827591/6e06cfff241f/metabolites-11-00042-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09a3/7827591/3772483a239c/metabolites-11-00042-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09a3/7827591/16224e2820df/metabolites-11-00042-g003.jpg

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