Classification of java tea (Orthosiphon aristatus) quality using FTIR spectroscopy and chemometrics

International Symposium on Bioinformatics, Chemometrics and Metabolomics

生物科学;化学

Heryanto, R.^1,2 ; Pradono, D.I.^1,2 ; Marlina, E.^2 ; Darusman, L.K.^1,2

Biopharmaca Research Center, Bogor Agricultural University, IPB Taman Kencana Campus, Jl. Taman Kencana No 3, Bogor, Indonesia^1

Department of Chemistry, Faculty of Mathematics and Natural Sciences, Bogor Agricultural University, Bogor, Indonesia^2

关键词: Derivatizations;    Discriminatory power;    Ethanolic extracts;    FTIR spectroscopy;    Medicinal herb;    Partial least squares discriminant analyses (PLSDA);    Pre-processed data;    Principal components analysis;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/835/1/012012/pdf
DOI  :  10.1088/1742-6596/835/1/012012

学科分类：生物科学（综合）

来源: IOP

【 摘 要 】

Java tea (Orthosiphon aristatus) is a plant that widely used as a medicinal herb in Indonesia. Its quality is varying depends on various factors, such as cultivating area, climate and harvesting time. This study aimed to investigate the effectiveness of FTIR spectroscopy coupled with chemometrics for discriminating the quality of Java tea from different cultivating area. FTIR spectra of ethanolic extracts were collected from five different regions of origin of Java tea. Prior to chemometrics evaluation, spectra were pre-processed by using baselining, normalization and derivatization. Principal Components Analysis (PCA) was used to reduce the spectra to two PCs, which explained 73% of the total variance. Score plot of two PCs showed groupings of the samples according to their regions of origin. Furthermore, Partial Least Squares-Discriminant Analysis (PLSDA) was applied to the pre-processed data. The approach produced an external validation success rate of 100%. This study shows that FTIR analysis and chemometrics has discriminatory power to classify Java tea based on its quality related to the region of origin.