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Rapid selection of Andrographis paniculata medicinal plant materials based on major bioactive using near-infrared spectroscopy

ABSTRACT: The quantitative analysis of andrographolides in Andrographis paniculata plant materials is essential for pharmaceutical factories. This analysis cannot be done for all samples due to the conventional process using the extraction and HPLC methods requires a long analysis time and sample de...

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Autores principales: Kasemsumran, Sumaporn, Apiwatanapiwat, Waraporn, Ngowsuwan, Krairuek, Jungtheerapanich, Sunee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Versita 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8215322/
https://www.ncbi.nlm.nih.gov/pubmed/34177074
http://dx.doi.org/10.1007/s11696-021-01746-0
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author Kasemsumran, Sumaporn
Apiwatanapiwat, Waraporn
Ngowsuwan, Krairuek
Jungtheerapanich, Sunee
author_facet Kasemsumran, Sumaporn
Apiwatanapiwat, Waraporn
Ngowsuwan, Krairuek
Jungtheerapanich, Sunee
author_sort Kasemsumran, Sumaporn
collection PubMed
description ABSTRACT: The quantitative analysis of andrographolides in Andrographis paniculata plant materials is essential for pharmaceutical factories. This analysis cannot be done for all samples due to the conventional process using the extraction and HPLC methods requires a long analysis time and sample destruction. Therefore, near-infrared spectroscopy (NIRS) was employed to classify the class of A. paniculata and to determine the content of two active ingredients, andrographolide (AP1) and dehydroandrographolide (AP3) in A. paniculata, rapidly and non-destructively. One hundred twenty dried powder samples were obtained from aerial parts, branches, leaves, and branches mixed with leaves. The NIR absorption scans were collected from a broad spectral region (1000–2500 nm). Then, the scanned samples were extracted and analyzed for their AP1 and AP3 contents using an HPLC reference method. The success classification model based on AP1 level was developed using the second derivative pretreated NIR spectra of the entire wavelength region using the Partial Least Squares-Discriminant Analysis (PLS-DA) method. The NIR calibration models were developed and tested for quantitative analysis with 50 independent samples. The models were identified for the analysis of the AP1 content with excellent performance (correlation coefficient (R) = 0.98; standard error of validation (SEV) = 0.24%) and for the analysis of the AP3 content at a good level of efficiency (R = 0.93; SEV = 0.15%). This study showed that NIR spectroscopic method offers rapid analysis for the selection of A. paniculata that meets the requirement in bioactive amount. GRAPHIC ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11696-021-01746-0.
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spelling pubmed-82153222021-06-21 Rapid selection of Andrographis paniculata medicinal plant materials based on major bioactive using near-infrared spectroscopy Kasemsumran, Sumaporn Apiwatanapiwat, Waraporn Ngowsuwan, Krairuek Jungtheerapanich, Sunee Chem Zvesti Original Paper ABSTRACT: The quantitative analysis of andrographolides in Andrographis paniculata plant materials is essential for pharmaceutical factories. This analysis cannot be done for all samples due to the conventional process using the extraction and HPLC methods requires a long analysis time and sample destruction. Therefore, near-infrared spectroscopy (NIRS) was employed to classify the class of A. paniculata and to determine the content of two active ingredients, andrographolide (AP1) and dehydroandrographolide (AP3) in A. paniculata, rapidly and non-destructively. One hundred twenty dried powder samples were obtained from aerial parts, branches, leaves, and branches mixed with leaves. The NIR absorption scans were collected from a broad spectral region (1000–2500 nm). Then, the scanned samples were extracted and analyzed for their AP1 and AP3 contents using an HPLC reference method. The success classification model based on AP1 level was developed using the second derivative pretreated NIR spectra of the entire wavelength region using the Partial Least Squares-Discriminant Analysis (PLS-DA) method. The NIR calibration models were developed and tested for quantitative analysis with 50 independent samples. The models were identified for the analysis of the AP1 content with excellent performance (correlation coefficient (R) = 0.98; standard error of validation (SEV) = 0.24%) and for the analysis of the AP3 content at a good level of efficiency (R = 0.93; SEV = 0.15%). This study showed that NIR spectroscopic method offers rapid analysis for the selection of A. paniculata that meets the requirement in bioactive amount. GRAPHIC ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11696-021-01746-0. Versita 2021-06-21 2021 /pmc/articles/PMC8215322/ /pubmed/34177074 http://dx.doi.org/10.1007/s11696-021-01746-0 Text en © Institute of Chemistry, Slovak Academy of Sciences 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Paper
Kasemsumran, Sumaporn
Apiwatanapiwat, Waraporn
Ngowsuwan, Krairuek
Jungtheerapanich, Sunee
Rapid selection of Andrographis paniculata medicinal plant materials based on major bioactive using near-infrared spectroscopy
title Rapid selection of Andrographis paniculata medicinal plant materials based on major bioactive using near-infrared spectroscopy
title_full Rapid selection of Andrographis paniculata medicinal plant materials based on major bioactive using near-infrared spectroscopy
title_fullStr Rapid selection of Andrographis paniculata medicinal plant materials based on major bioactive using near-infrared spectroscopy
title_full_unstemmed Rapid selection of Andrographis paniculata medicinal plant materials based on major bioactive using near-infrared spectroscopy
title_short Rapid selection of Andrographis paniculata medicinal plant materials based on major bioactive using near-infrared spectroscopy
title_sort rapid selection of andrographis paniculata medicinal plant materials based on major bioactive using near-infrared spectroscopy
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8215322/
https://www.ncbi.nlm.nih.gov/pubmed/34177074
http://dx.doi.org/10.1007/s11696-021-01746-0
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