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采用高效液相色谱-二极管阵列检测法(HPLC-DAD)对从西喜马拉雅地区采集的[具体物质未提及]进行化学指纹图谱分析和多组分定量分析以进行质量控制。

Chemical fingerprinting and multicomponent quantitative analysis for quality control of collected from Western Himalaya by HPLC-DAD.

作者信息

Champati Bibhuti Bhusan, Das Prabhat Kumar, Sahoo Chiranjibi, Ray Asit, Jena Sudipta, Sahoo Ambika, Nayak Sanghamitra, Lata Swaran, Panda Pratap Chandra

机构信息

Centre for Biotechnology, Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, 751 003, Odisha, India.

ICFRE-Himalayan Forest Research Institute, Conifer Campus, Panthaghati, Shimla, 171 013, Himachal Pradesh, India.

出版信息

Heliyon. 2024 Apr 25;10(9):e30361. doi: 10.1016/j.heliyon.2024.e30361. eCollection 2024 May 15.

DOI:10.1016/j.heliyon.2024.e30361
PMID:38737243
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11088263/
Abstract

, commonly known as "Indian bay leaf" or "Tejpat", is an economically important plant widely used in medicine, food and cosmetic industries. Growing demand for its leaf and bark in the herbal trade and non-availability of quality materials lead to large-scale species admixture and adulteration in the global market. The present study aims at developing a validated HPLC-DAD (High-performance liquid chromatography coupled with diode array detection) method and multiple markers-based chemical fingerprints for quality evaluation of leaf extracts. Five bioactive compounds, ., coumarin, cinnamyl alcohol, cinnamic acid, cinnamaldehyde and cinnamyl acetate, were identified and quantified in 28 samples collected from the western Himalayan region of India. The chromatographic separation was achieved on Shimadzu Shimpak C18 column (dimension 250 × 4.6 mm, pore size 5 μm) with a gradient elution of mobile phase using acetonitrile and 0.1 percent phosphate buffer and the chromatograms were obtained at a wavelength of 265 nm. The method validation was done by analyzing the linearity, LOD, LOQ, precision, stability, repeatability and recovery rates of standard compounds for quantitative analysis. The values of coefficient of correlation (R) were found to be close to 1 for linearity and similarity analysis; and standard deviation was less than 3 percent in case of precision, stability, repeatability and recovery rates. The content of target compounds such as coumarin, cinnamyl alcohol, cinnamic acid, cinnamaldehyde and cinnamyl acetate varied in the range of 0-1.09, 0-0.05, 0.07-0.51, 0.39-1.27 and 0-0.27 percent, respectively. In the chemical fingerprint of leaves, a total of 13 peaks were assigned as common peaks. The results of the study indicated that the HPLC method now developed combining chemical fingerprint with quantification of analytes could serve as a useful tool for quality evaluation of herbal raw materials of and a valuable reference for further study.

摘要

,通常被称为“印度月桂叶”或“tejpat”,是一种在医学、食品和化妆品行业广泛使用的具有重要经济价值的植物。草药贸易中对其叶子和树皮的需求不断增长,以及优质材料的短缺,导致全球市场上出现大规模的物种混杂和掺假现象。本研究旨在开发一种经过验证的高效液相色谱 - 二极管阵列检测(HPLC - DAD)方法和基于多种标记物的化学指纹图谱,用于评估叶提取物的质量。在从印度喜马拉雅西部地区采集的28个样品中,鉴定并定量了5种生物活性化合物,即香豆素、肉桂醇、肉桂酸、肉桂醛和乙酸肉桂酯。色谱分离在岛津Shimpak C18柱(尺寸为250×4.6 mm,孔径5μm)上进行,使用乙腈和0.1%磷酸盐缓冲液作为流动相进行梯度洗脱,并在265 nm波长下获得色谱图。通过分析标准化合物的线性、检测限、定量限、精密度、稳定性、重复性和回收率进行方法验证,以进行定量分析。相关性系数(R)值在进行线性和相似性分析时接近1;在精密度、稳定性、重复性和回收率方面,标准偏差小于3%。香豆素、肉桂醇、肉桂酸、肉桂醛和乙酸肉桂酯等目标化合物的含量分别在0 - 1.09%、0 - 0.05%、0.07 - 0.51%、0.39 - 1.27%和0 - 0.27%的范围内变化。在叶的化学指纹图谱中,共指定了13个峰为共有峰。研究结果表明,目前开发的结合化学指纹图谱和分析物定量的HPLC方法可作为评估草药原料质量的有用工具,并为进一步研究提供有价值的参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fd1/11088263/5b8c93ec394c/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fd1/11088263/59595add5a81/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fd1/11088263/5e25458a03a1/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fd1/11088263/b7fdf3924723/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fd1/11088263/d9c2bf21add0/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fd1/11088263/979b52be9f85/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fd1/11088263/a466b5dd5cbd/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fd1/11088263/5b8c93ec394c/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fd1/11088263/59595add5a81/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fd1/11088263/5e25458a03a1/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fd1/11088263/b7fdf3924723/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fd1/11088263/d9c2bf21add0/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fd1/11088263/979b52be9f85/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fd1/11088263/a466b5dd5cbd/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fd1/11088263/5b8c93ec394c/gr7.jpg

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