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基于选定植物化学参数的罗勒叶品种的化学计量学分类;对药用原材料标准化的启示

Chemometric Classification of L. Leaf Cultivars, Based on Selected Phytochemical Parameters; Implications for Standardization of the Pharmaceutical Raw Materials.

作者信息

Kaggwa Bruhan, Nakayita Maria Gloria, Munanura Edson Ireeta, Kyeyune Henry, Ajayi Clement Olusoji, Wangalwa Raphael, Walakira Daniel Pillah, Anywar Godwin, Bagoloire Lynn K, Kakazi Teddy, Ddamulira Gabriel, Kamba Fadhiru Pakoyo, Ogwang Patrick Engeu

机构信息

Mbarara University of Science and Technology, Pharm-Bio Technology and Traditional Medicine Centre (PHARMBIOTRAC), P.O. Box 1410, Mbarara, Uganda.

Makerere University, College of Health Sciences, Department of Pharmacy, P.O. Box 7062, Kampala, Uganda.

出版信息

Evid Based Complement Alternat Med. 2023 Aug 4;2023:7245876. doi: 10.1155/2023/7245876. eCollection 2023.

Abstract

INTRODUCTION

leaves are among the most common materials employed in manufacturing herbal medicinal products. Despite the phytochemical variation of cultivars, there are no monographs to guide the cultivation, processing, and authentication of the materials.

METHODS

This study characterized 15 Ugandan leaf varieties, with reference to extraction index (EI), total phenolic content (TPC), antioxidant activity (AOA), and mangiferin concentration (MC). In addition, HPLC fingerprints were established to evaluate the overall phytoequivalence of the materials. Then, using hierarchical clustering (HC) and principal component analysis (PCA), the materials were assigned quality grades.

RESULTS

The mean EI was 9.39 ± 1.64% and varied among the varieties (=0.001); the TPC varied significantly ( < 0.0001), from 183.29 ± 2.36 mg/g (Takataka) to 79.47 ± 0.58 mg/g (Apple mango). AOA ranged from 16.81 ± 2.85 g/mL (Doodo red) to 87.85 g/mL (Asante). MC varied significantly ( < 0.0001), from 105.75 ± 0.60 mg/g (Kate) to 39.53 ± 0.30 mg/g (Asante). HC gave four major grades: A to D (A, varieties with the highest TPC, MC, and AOA). These parameters reduced to below average from group B to group D. The chromatographic fingerprints were visually similar, but the number of peaks varied, from 19 (Kawanda green) to 29 (Kawanda wide), with 23.5 ± 2.9 average peaks. Whole fingerprints were less similar ( < 0.8) than common peak fingerprints ( > 0.9, < 0.001). PCA grouped the fingerprints into five clusters; loading plots for PC 1 and 2 revealed two important compounds, one at Rt = 15.828 minutes (mangiferin) and the other at 6.021 minutes. Using the standardized common fingerprints, unknown field samples clustered closely with Koona, Kate, and Kawanda green varieties.

CONCLUSIONS

The EI, TPC, MC, and AOA values can be utilized to monitor consistency in the quality of materials and the production process. The grades generated can be used to select materials for cultivation and manufacturing. Where minimum concentrations are set, materials of different concentrations are used to dilute or concentrate each other. The HPLC fingerprints can be utilized to authenticate the materials. More samples from different agroecological regions of the country should be tested to cater to climatic variations in order to develop GMP-compliant botanical identification methods.

摘要

引言

叶子是制造草药产品最常用的材料之一。尽管不同品种的植物化学成分存在差异,但尚无专论来指导这些材料的种植、加工和鉴定。

方法

本研究对15个乌干达叶品种进行了表征,涉及提取指数(EI)、总酚含量(TPC)、抗氧化活性(AOA)和芒果苷浓度(MC)。此外,建立了高效液相色谱指纹图谱以评估材料的整体植物等效性。然后,使用层次聚类(HC)和主成分分析(PCA)对材料进行质量分级。

结果

平均EI为9.39±1.64%,品种间存在差异(=0.001);TPC差异显著(<0.0001),从183.29±2.36mg/g(Takataka)到79.47±0.58mg/g(苹果芒果)。AOA范围为16.81±2.85g/mL(Doodo红)至87.85g/mL(阿桑特)。MC差异显著(<0.0001),从105.75±0.60mg/g(凯特)到39.53±0.30mg/g(阿桑特)。HC给出了四个主要等级:A至D(A为TPC、MC和AOA最高的品种)。从B组到D组,这些参数降至平均水平以下。色谱指纹图谱在视觉上相似,但峰数不同,从19个(卡万达绿)到29个(卡万达宽),平均峰数为23.5±2.9个。完整指纹图谱的相似度(<0.8)低于共同峰指纹图谱(>0.9,<0.001)。PCA将指纹图谱分为五个聚类;PC 1和2的载荷图显示了两种重要化合物,一种在Rt = 15.828分钟(芒果苷),另一种在6.021分钟。使用标准化的共同指纹图谱,未知田间样品与库纳、凯特和卡万达绿品种紧密聚类。

结论

EI、TPC、MC和AOA值可用于监测材料质量和生产过程的一致性。生成的等级可用于选择种植和制造材料。在设定最低浓度的情况下,不同浓度的材料相互稀释或浓缩。HPLC指纹图谱可用于鉴定材料。应测试该国不同农业生态区域的更多样品以适应气候变化,从而开发符合GMP的植物鉴定方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e7e5/10421708/a783155306fd/ECAM2023-7245876.001.jpg

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