A multivariate curve resolution‐alternating least squares (MCR‐ALS) technology assisted 1H‐NMR methodology for multi‐component quantitation of Trichosanthis Pericarpium injection. Issue 1 (24th October 2022)
- Record Type:
- Journal Article
- Title:
- A multivariate curve resolution‐alternating least squares (MCR‐ALS) technology assisted 1H‐NMR methodology for multi‐component quantitation of Trichosanthis Pericarpium injection. Issue 1 (24th October 2022)
- Main Title:
- A multivariate curve resolution‐alternating least squares (MCR‐ALS) technology assisted 1H‐NMR methodology for multi‐component quantitation of Trichosanthis Pericarpium injection
- Authors:
- Yang, Jiayu
Li, Wenzhu
Ding, Jinguo
Dong, Ying
Xie, Xinyuan
Zhao, Fang
Pan, Jianyang
Qu, Haibin - Abstract:
- Abstract: Introduction: Trichosanthis Pericarpium injection (TPI) is a traditional Chinese medicine preparation obtained from Trichosanthis Pericarpium by extraction, purification and sterilisation. It contains amino acids, alkaloids, nucleotides and other components. Existing quantitative methods only analyse a few components in injections, so this study intends to develop a method for comprehensive analysis of TPI components. Objective: To develop a method for quantification of components in TPI by multivariate curve resolution‐alternating least squares (MCR‐ALS) assisted proton nuclear magnetic resonance ( 1 H‐NMR). Methods: A 1 H‐NMR method was developed for the quantification of components in TPI. For components with independent signals, 3‐(trimethylsilyl) propionic‐2, 2, 3, 3‐ d 4 acid sodium salt (TSP) was used as an internal standard to calculate the component contents. For components with overlapping signals, the method of MCR‐ALS was used. Results: A total of 36 components were identified in TPI, of which 33 were quantified. Methodological validation results showed that the developed 1 H‐NMR method has good linearity, accuracy, precision, robustness and specificity. Conclusion: The use of 1 H‐NMR provides a reliable and universal method for the TPI components identification and quantification. Also, it can be used as a powerful tool for analysing the contents in a complex mixture as a quality control measure. Abstract : In this study, a method for quantifying 33Abstract: Introduction: Trichosanthis Pericarpium injection (TPI) is a traditional Chinese medicine preparation obtained from Trichosanthis Pericarpium by extraction, purification and sterilisation. It contains amino acids, alkaloids, nucleotides and other components. Existing quantitative methods only analyse a few components in injections, so this study intends to develop a method for comprehensive analysis of TPI components. Objective: To develop a method for quantification of components in TPI by multivariate curve resolution‐alternating least squares (MCR‐ALS) assisted proton nuclear magnetic resonance ( 1 H‐NMR). Methods: A 1 H‐NMR method was developed for the quantification of components in TPI. For components with independent signals, 3‐(trimethylsilyl) propionic‐2, 2, 3, 3‐ d 4 acid sodium salt (TSP) was used as an internal standard to calculate the component contents. For components with overlapping signals, the method of MCR‐ALS was used. Results: A total of 36 components were identified in TPI, of which 33 were quantified. Methodological validation results showed that the developed 1 H‐NMR method has good linearity, accuracy, precision, robustness and specificity. Conclusion: The use of 1 H‐NMR provides a reliable and universal method for the TPI components identification and quantification. Also, it can be used as a powerful tool for analysing the contents in a complex mixture as a quality control measure. Abstract : In this study, a method for quantifying 33 components in Trichosanthis Pericarpium injection (TPI) by proton nuclear magnetic resonance ( 1 H‐NMR) was proposed. The 1 H‐NMR provided a reliable and universal quantitative method for TPI components analysis. Also, it can be used as a powerful tool for analysing the contents in a complex mixture as a quality control measure. … (more)
- Is Part Of:
- Phytochemical analysis. Volume 34:Issue 1(2023)
- Journal:
- Phytochemical analysis
- Issue:
- Volume 34:Issue 1(2023)
- Issue Display:
- Volume 34, Issue 1 (2023)
- Year:
- 2023
- Volume:
- 34
- Issue:
- 1
- Issue Sort Value:
- 2023-0034-0001-0000
- Page Start:
- 40
- Page End:
- 47
- Publication Date:
- 2022-10-24
- Subjects:
- 1H‐NMR -- multi‐component quantitation method -- multivariate curve resolution‐alternating least squares (MCR‐ALS) -- traditional Chinese medicine injection (TCMI) -- Trichosanthis Pericarpium injection (TPI)
Plants -- Analysis -- Periodicals
Plants -- chemistry -- Periodicals
572.2 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
- DOI:
- 10.1002/pca.3177 ↗
- Languages:
- English
- ISSNs:
- 0958-0344
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6489.695000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 25152.xml