Data fusion of uv-vis and ftir spectra combined with principal component analysis for distinguishing of andrographis paniculata extracts based on cultivation ages and solvent extraction

Antonio Kautsar; Wulan Tri Wahyuni; Utami Dyah Syafitri; Syifa Muflihah; Nursifa Mawadah; Eti Rohaeti; Zulhan Arif; Bambang Prajogo; Muhammad Bachri Amran; Abdul Rohman; Mohamad Rafi

doi:10.22146/ijc.60321

Data fusion of uv-vis and ftir spectra combined with principal component analysis for distinguishing of andrographis paniculata extracts based on cultivation ages and solvent extraction

Antonio Kautsar, Wulan Tri Wahyuni, Utami Dyah Syafitri, Syifa Muflihah, Nursifa Mawadah, Eti Rohaeti, Zulhan Arif, Bambang Prajogo, Muhammad Bachri Amran, Abdul Rohman, Mohamad Rafi

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

Abstract

Andrographis paniculata is one of the medicinal plants used for the treatment of antidiabetic. Cultivation ages and solvent extraction affected metabolites' composition and concentration that directly cause the plant's efficacies. This research aimed to distinguish A. paniculata based on cultivation ages and solvent extraction using data fusion of UV-Vis and FTIR spectra combined with principal component analysis (PCA). A. paniculata with 2, 3, and 4 months post-planting were extracted by water, 50% ethanol, 70% ethanol, and ethanol. In each extract, we measured UV-Vis and FTIR spectra. Then, we used the data fusion from both spectra. We used UV-Vis and FTIR absorbance from 200–400 nm and 1800–400 cm^–1, respectively. Each extract gives a similar pattern of UV-Vis and FTIR spectra, only differ in their intensities. PCA score plot in two and three-dimensional showed A. paniculata extracts could be distinguished based on cultivation ages and solvent extraction with a total variance of 86 and 92%, respectively. Furthermore, this study confirms the data fusion of UV-Vis and FTIR spectra could distinguished A. paniculata extracts combined with chemometrics based on cultivation ages and solvent extraction.

Original language	English
Pages (from-to)	753-760
Number of pages	8
Journal	Indonesian Journal of Chemistry
Volume	21
Issue number	3
DOIs	https://doi.org/10.22146/ijc.60321
Publication status	Published - 2021

Keywords

A. paniculata
Data fusion
FTIR
PCA
UV-Vis

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10.22146/ijc.60321

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Kautsar, A., Wahyuni, W. T., Syafitri, U. D., Muflihah, S., Mawadah, N., Rohaeti, E., Arif, Z., Prajogo, B., Amran, M. B., Rohman, A., & Rafi, M. (2021). Data fusion of uv-vis and ftir spectra combined with principal component analysis for distinguishing of andrographis paniculata extracts based on cultivation ages and solvent extraction. Indonesian Journal of Chemistry, 21(3), 753-760. https://doi.org/10.22146/ijc.60321

@article{5297bceb471f4db4a599fd6f12f66d20,

title = "Data fusion of uv-vis and ftir spectra combined with principal component analysis for distinguishing of andrographis paniculata extracts based on cultivation ages and solvent extraction",

abstract = "Andrographis paniculata is one of the medicinal plants used for the treatment of antidiabetic. Cultivation ages and solvent extraction affected metabolites' composition and concentration that directly cause the plant's efficacies. This research aimed to distinguish A. paniculata based on cultivation ages and solvent extraction using data fusion of UV-Vis and FTIR spectra combined with principal component analysis (PCA). A. paniculata with 2, 3, and 4 months post-planting were extracted by water, 50% ethanol, 70% ethanol, and ethanol. In each extract, we measured UV-Vis and FTIR spectra. Then, we used the data fusion from both spectra. We used UV-Vis and FTIR absorbance from 200–400 nm and 1800–400 cm–1, respectively. Each extract gives a similar pattern of UV-Vis and FTIR spectra, only differ in their intensities. PCA score plot in two and three-dimensional showed A. paniculata extracts could be distinguished based on cultivation ages and solvent extraction with a total variance of 86 and 92%, respectively. Furthermore, this study confirms the data fusion of UV-Vis and FTIR spectra could distinguished A. paniculata extracts combined with chemometrics based on cultivation ages and solvent extraction.",

keywords = "A. paniculata, Data fusion, FTIR, PCA, UV-Vis",

author = "Antonio Kautsar and Wahyuni, {Wulan Tri} and Syafitri, {Utami Dyah} and Syifa Muflihah and Nursifa Mawadah and Eti Rohaeti and Zulhan Arif and Bambang Prajogo and Amran, {Muhammad Bachri} and Abdul Rohman and Mohamad Rafi",

note = "Funding Information: The authors gratefully acknowledged the Ministry of Research, Technology, and Higher Education of the Republic of Indonesia through the World Class University Program of IPB University to support this research by Riset Kolaborasi Indonesia Grant 2019 (No: 0847/IT3.L1/PN/2019). Publisher Copyright: {\textcopyright} 2021, Gadjah Mada University. All rights reserved.",

year = "2021",

doi = "10.22146/ijc.60321",

language = "English",

volume = "21",

pages = "753--760",

journal = "Indonesian Journal of Chemistry",

issn = "1411-9420",

publisher = "Gadjah Mada University",

number = "3",

}

Kautsar, A, Wahyuni, WT, Syafitri, UD, Muflihah, S, Mawadah, N, Rohaeti, E, Arif, Z, Prajogo, B, Amran, MB, Rohman, A & Rafi, M 2021, 'Data fusion of uv-vis and ftir spectra combined with principal component analysis for distinguishing of andrographis paniculata extracts based on cultivation ages and solvent extraction', Indonesian Journal of Chemistry, vol. 21, no. 3, pp. 753-760. https://doi.org/10.22146/ijc.60321

Data fusion of uv-vis and ftir spectra combined with principal component analysis for distinguishing of andrographis paniculata extracts based on cultivation ages and solvent extraction. / Kautsar, Antonio; Wahyuni, Wulan Tri; Syafitri, Utami Dyah et al.
In: Indonesian Journal of Chemistry, Vol. 21, No. 3, 2021, p. 753-760.

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - Data fusion of uv-vis and ftir spectra combined with principal component analysis for distinguishing of andrographis paniculata extracts based on cultivation ages and solvent extraction

AU - Kautsar, Antonio

AU - Wahyuni, Wulan Tri

AU - Syafitri, Utami Dyah

AU - Muflihah, Syifa

AU - Mawadah, Nursifa

AU - Rohaeti, Eti

AU - Arif, Zulhan

AU - Prajogo, Bambang

AU - Amran, Muhammad Bachri

AU - Rohman, Abdul

AU - Rafi, Mohamad

N1 - Funding Information: The authors gratefully acknowledged the Ministry of Research, Technology, and Higher Education of the Republic of Indonesia through the World Class University Program of IPB University to support this research by Riset Kolaborasi Indonesia Grant 2019 (No: 0847/IT3.L1/PN/2019). Publisher Copyright: © 2021, Gadjah Mada University. All rights reserved.

PY - 2021

Y1 - 2021

N2 - Andrographis paniculata is one of the medicinal plants used for the treatment of antidiabetic. Cultivation ages and solvent extraction affected metabolites' composition and concentration that directly cause the plant's efficacies. This research aimed to distinguish A. paniculata based on cultivation ages and solvent extraction using data fusion of UV-Vis and FTIR spectra combined with principal component analysis (PCA). A. paniculata with 2, 3, and 4 months post-planting were extracted by water, 50% ethanol, 70% ethanol, and ethanol. In each extract, we measured UV-Vis and FTIR spectra. Then, we used the data fusion from both spectra. We used UV-Vis and FTIR absorbance from 200–400 nm and 1800–400 cm–1, respectively. Each extract gives a similar pattern of UV-Vis and FTIR spectra, only differ in their intensities. PCA score plot in two and three-dimensional showed A. paniculata extracts could be distinguished based on cultivation ages and solvent extraction with a total variance of 86 and 92%, respectively. Furthermore, this study confirms the data fusion of UV-Vis and FTIR spectra could distinguished A. paniculata extracts combined with chemometrics based on cultivation ages and solvent extraction.

AB - Andrographis paniculata is one of the medicinal plants used for the treatment of antidiabetic. Cultivation ages and solvent extraction affected metabolites' composition and concentration that directly cause the plant's efficacies. This research aimed to distinguish A. paniculata based on cultivation ages and solvent extraction using data fusion of UV-Vis and FTIR spectra combined with principal component analysis (PCA). A. paniculata with 2, 3, and 4 months post-planting were extracted by water, 50% ethanol, 70% ethanol, and ethanol. In each extract, we measured UV-Vis and FTIR spectra. Then, we used the data fusion from both spectra. We used UV-Vis and FTIR absorbance from 200–400 nm and 1800–400 cm–1, respectively. Each extract gives a similar pattern of UV-Vis and FTIR spectra, only differ in their intensities. PCA score plot in two and three-dimensional showed A. paniculata extracts could be distinguished based on cultivation ages and solvent extraction with a total variance of 86 and 92%, respectively. Furthermore, this study confirms the data fusion of UV-Vis and FTIR spectra could distinguished A. paniculata extracts combined with chemometrics based on cultivation ages and solvent extraction.

KW - A. paniculata

KW - Data fusion

KW - FTIR

KW - PCA

KW - UV-Vis

UR - http://www.scopus.com/inward/record.url?scp=85108237158&partnerID=8YFLogxK

U2 - 10.22146/ijc.60321

DO - 10.22146/ijc.60321

M3 - Article

AN - SCOPUS:85108237158

SN - 1411-9420

VL - 21

SP - 753

EP - 760

JO - Indonesian Journal of Chemistry

JF - Indonesian Journal of Chemistry

IS - 3

ER -

Data fusion of uv-vis and ftir spectra combined with principal component analysis for distinguishing of andrographis paniculata extracts based on cultivation ages and solvent extraction

Abstract

Keywords

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