Fingerprint analysis of phenolic acid extract of Salvia miltiorrhiza by digital reference standard analyzer with one or two reference standards

Abstract Background Fingerprint analysis and simultaneous multi-components determination are crucial for the holistic quality control of traditional Chinese medicines (TCMs). Yet, reference standards (RS) are often commercially unavailable and with other shortages, which severely impede the applicat...

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Main Authors: Qingjun Wang, Xinlan Yu, Lei Sun, Runtao Tian, Huaizhen He, Sicen Wang, Shuangcheng Ma
Format: Article
Language:English
Published: BMC 2021-01-01
Series:Chinese Medicine
Subjects:
Online Access:https://doi.org/10.1186/s13020-020-00408-9
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author Qingjun Wang
Xinlan Yu
Lei Sun
Runtao Tian
Huaizhen He
Sicen Wang
Shuangcheng Ma
author_facet Qingjun Wang
Xinlan Yu
Lei Sun
Runtao Tian
Huaizhen He
Sicen Wang
Shuangcheng Ma
author_sort Qingjun Wang
collection DOAJ
description Abstract Background Fingerprint analysis and simultaneous multi-components determination are crucial for the holistic quality control of traditional Chinese medicines (TCMs). Yet, reference standards (RS) are often commercially unavailable and with other shortages, which severely impede the application of these technologies. Methods A digital reference standard (DRS) strategy and the corresponding software called DRS analyzer, which supports chromatographic algorithms, spectrum algorithms, and the combination of these algorithms, was developed. The extensive function also enabled the DRS analyzer to recommend the chromatographic column based on big data. Results Various quality control methods of fingerprints of 11 compounds in polyphenolic acid extract of Salvia miltiorrhiza (S. miltiorrhiza) were developed based on DRS analyzer, involving relative retention time (RRT) method, linear calibration using two reference substances (LCTRS) technique, RRT combined with Photon Diode Array (PDA) method, LCTRS combined with PDA method. Additionally, the column database of samples was established. Finally, our data demonstrated that the DRS analyzer could accurately identify 11 compounds of the samples, using only one or two physical RSs. Conclusions The DRS strategy is an automated, intelligent, objective, accurate, eco-friendly, universal, sharing, and promising method for overall quality control of TCMs that requires the usage of fewer RSs.
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spelling doaj.art-e4244d2169584277a39ea59fe8eb79172022-12-21T22:55:41ZengBMCChinese Medicine1749-85462021-01-0116111610.1186/s13020-020-00408-9Fingerprint analysis of phenolic acid extract of Salvia miltiorrhiza by digital reference standard analyzer with one or two reference standardsQingjun Wang0Xinlan Yu1Lei Sun2Runtao Tian3Huaizhen He4Sicen Wang5Shuangcheng Ma6National Institutes for Food and Drug ControlXinjiang Institute for Drug ControlNational Institutes for Food and Drug ControlChemmind Technologies Co., LtdXi’an Jiaotong University, School of MedicineXi’an Jiaotong University, School of MedicineNational Institutes for Food and Drug ControlAbstract Background Fingerprint analysis and simultaneous multi-components determination are crucial for the holistic quality control of traditional Chinese medicines (TCMs). Yet, reference standards (RS) are often commercially unavailable and with other shortages, which severely impede the application of these technologies. Methods A digital reference standard (DRS) strategy and the corresponding software called DRS analyzer, which supports chromatographic algorithms, spectrum algorithms, and the combination of these algorithms, was developed. The extensive function also enabled the DRS analyzer to recommend the chromatographic column based on big data. Results Various quality control methods of fingerprints of 11 compounds in polyphenolic acid extract of Salvia miltiorrhiza (S. miltiorrhiza) were developed based on DRS analyzer, involving relative retention time (RRT) method, linear calibration using two reference substances (LCTRS) technique, RRT combined with Photon Diode Array (PDA) method, LCTRS combined with PDA method. Additionally, the column database of samples was established. Finally, our data demonstrated that the DRS analyzer could accurately identify 11 compounds of the samples, using only one or two physical RSs. Conclusions The DRS strategy is an automated, intelligent, objective, accurate, eco-friendly, universal, sharing, and promising method for overall quality control of TCMs that requires the usage of fewer RSs.https://doi.org/10.1186/s13020-020-00408-9Substitute reference standards, digital reference standard (DRS)Relative retention time (RRT)Linear calibration using two reference substances (LCTRS)Fingerprints
spellingShingle Qingjun Wang
Xinlan Yu
Lei Sun
Runtao Tian
Huaizhen He
Sicen Wang
Shuangcheng Ma
Fingerprint analysis of phenolic acid extract of Salvia miltiorrhiza by digital reference standard analyzer with one or two reference standards
Chinese Medicine
Substitute reference standards, digital reference standard (DRS)
Relative retention time (RRT)
Linear calibration using two reference substances (LCTRS)
Fingerprints
title Fingerprint analysis of phenolic acid extract of Salvia miltiorrhiza by digital reference standard analyzer with one or two reference standards
title_full Fingerprint analysis of phenolic acid extract of Salvia miltiorrhiza by digital reference standard analyzer with one or two reference standards
title_fullStr Fingerprint analysis of phenolic acid extract of Salvia miltiorrhiza by digital reference standard analyzer with one or two reference standards
title_full_unstemmed Fingerprint analysis of phenolic acid extract of Salvia miltiorrhiza by digital reference standard analyzer with one or two reference standards
title_short Fingerprint analysis of phenolic acid extract of Salvia miltiorrhiza by digital reference standard analyzer with one or two reference standards
title_sort fingerprint analysis of phenolic acid extract of salvia miltiorrhiza by digital reference standard analyzer with one or two reference standards
topic Substitute reference standards, digital reference standard (DRS)
Relative retention time (RRT)
Linear calibration using two reference substances (LCTRS)
Fingerprints
url https://doi.org/10.1186/s13020-020-00408-9
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