See the published version of this preprint at Chinese Medicine.
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Research
Shuangcheng Ma
National Institute for Food and Drug Control
Corresponding Author
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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.
Keywords
substitute reference standards, digital reference standard (DRS), relative retention time (RRT), linear calibration using two reference substances (LCTRS), fingerprints
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CURRENT STATUS: Published
View the published article at Chinese Medicine.
Version 1
Posted 17 Sep, 2020
No community comments so far
Editorial decision: Major revision
On 15 Oct, 2020
Review #2 received
Received 14 Oct, 2020
Review #1 received
Received 06 Oct, 2020
Reviewer #3 agreed
On 28 Sep, 2020
Reviewer #2 agreed
On 27 Sep, 2020
Reviewers invited
Invitations sent on 25 Sep, 2020
Reviewer #1 agreed
On 25 Sep, 2020
Editor assigned
On 15 Sep, 2020
First submitted
On 14 Sep, 2020
Submission checks complete
On 14 Sep, 2020
Editor invited
On 14 Sep, 2020
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PDF Downloads: ...
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Subject Areas
Hospital Medicine
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See the published version of this preprint at Chinese Medicine.
This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Research
Shuangcheng Ma
National Institute for Food and Drug Control
Corresponding Author
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Published
View the published article at Chinese Medicine.
Version 1
Posted 17 Sep, 2020
No community comments so far
Editorial decision: Major revision
On 15 Oct, 2020
Review #2 received
Received 14 Oct, 2020
Review #1 received
Received 06 Oct, 2020
Reviewer #3 agreed
On 28 Sep, 2020
Reviewer #2 agreed
On 27 Sep, 2020
Reviewers invited
Invitations sent on 25 Sep, 2020
Reviewer #1 agreed
On 25 Sep, 2020
Editor assigned
On 15 Sep, 2020
First submitted
On 14 Sep, 2020
Submission checks complete
On 14 Sep, 2020
Editor invited
On 14 Sep, 2020
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Hospital Medicine
License:
This work is licensed under a CC BY 4.0 License. Read Full License
View the published article at Chinese Medicine.
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.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
Figure 8
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