EVALUATION OF GREEN BEANS OF SUKABUMI ARABICA COFFEE BASED ON 1H NMR METABOLOMICS

West Java is a province producing arabica coffee in Indonesia. One of the arabica coffee producer areas in West Java is Sukabumi. However, chemical information on Sukabumi arabica coffee is still very limited in the literature. In this study, the metabolite profiles of green beans of arabica coffee...

Full description

Saved in:
Bibliographic Details
Main Author: Hamdani, Ahmad
Format: Theses
Language:Indonesia
Subjects:
Online Access:https://digilib.itb.ac.id/gdl/view/72845
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:72845
spelling id-itb.:728452023-05-30T11:31:37ZEVALUATION OF GREEN BEANS OF SUKABUMI ARABICA COFFEE BASED ON 1H NMR METABOLOMICS Hamdani, Ahmad Kimia Indonesia Theses Green arabica coffee beans, Sukabumi, 1H NMR-based metabolomics, multivariate data analysis INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/72845 West Java is a province producing arabica coffee in Indonesia. One of the arabica coffee producer areas in West Java is Sukabumi. However, chemical information on Sukabumi arabica coffee is still very limited in the literature. In this study, the metabolite profiles of green beans of arabica coffee obtained from various plantations in Sukabumi, including Ciayunan, Pondok Halimun, and Selabintana were evaluated by 1H NMR-based metabolomics. Samples of ground green coffee beans were extracted with D2O and measured by NMR spectroscopy. The obtained 1H NMR spectra were processed and evaluated with multivariate data analysis using Orthogonal Partial Least Square Discriminant Analysis (OPLS-DA) as the main model. 19 metabolites were successfully identified on the 1H NMR spectra, including caffeine, trigonelline, sucrose, chlorogenic acid, quinic acid, malic acid, lactic acid, and fatty acids. The concentrations of several identified metabolites were determined semi-quantitatively using 1H NMR analysis techniques. For example, Pondok Halimun coffee had a higher concentration of caffeine than other coffee samples with a concentration of 31.59 mM. The score plot of the OPLS-DA model was successful in classifying the metabolite profiles of the coffee samples based on their geographical origin. Loading plot analysis showed the signals belonging to fatty acids, sucrose, trigonelline, chlorogenic acid, lactic acid, and quinic acid, contributing to the classification of coffee samples based on their geographical origin. In this study, 1H NMR-based metabolomics has succeeded in revealing the differences in the metabolite profiles of Sukabumi Arabica coffee beans cultivated in different areas. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
topic Kimia
spellingShingle Kimia
Hamdani, Ahmad
EVALUATION OF GREEN BEANS OF SUKABUMI ARABICA COFFEE BASED ON 1H NMR METABOLOMICS
description West Java is a province producing arabica coffee in Indonesia. One of the arabica coffee producer areas in West Java is Sukabumi. However, chemical information on Sukabumi arabica coffee is still very limited in the literature. In this study, the metabolite profiles of green beans of arabica coffee obtained from various plantations in Sukabumi, including Ciayunan, Pondok Halimun, and Selabintana were evaluated by 1H NMR-based metabolomics. Samples of ground green coffee beans were extracted with D2O and measured by NMR spectroscopy. The obtained 1H NMR spectra were processed and evaluated with multivariate data analysis using Orthogonal Partial Least Square Discriminant Analysis (OPLS-DA) as the main model. 19 metabolites were successfully identified on the 1H NMR spectra, including caffeine, trigonelline, sucrose, chlorogenic acid, quinic acid, malic acid, lactic acid, and fatty acids. The concentrations of several identified metabolites were determined semi-quantitatively using 1H NMR analysis techniques. For example, Pondok Halimun coffee had a higher concentration of caffeine than other coffee samples with a concentration of 31.59 mM. The score plot of the OPLS-DA model was successful in classifying the metabolite profiles of the coffee samples based on their geographical origin. Loading plot analysis showed the signals belonging to fatty acids, sucrose, trigonelline, chlorogenic acid, lactic acid, and quinic acid, contributing to the classification of coffee samples based on their geographical origin. In this study, 1H NMR-based metabolomics has succeeded in revealing the differences in the metabolite profiles of Sukabumi Arabica coffee beans cultivated in different areas.
format Theses
author Hamdani, Ahmad
author_facet Hamdani, Ahmad
author_sort Hamdani, Ahmad
title EVALUATION OF GREEN BEANS OF SUKABUMI ARABICA COFFEE BASED ON 1H NMR METABOLOMICS
title_short EVALUATION OF GREEN BEANS OF SUKABUMI ARABICA COFFEE BASED ON 1H NMR METABOLOMICS
title_full EVALUATION OF GREEN BEANS OF SUKABUMI ARABICA COFFEE BASED ON 1H NMR METABOLOMICS
title_fullStr EVALUATION OF GREEN BEANS OF SUKABUMI ARABICA COFFEE BASED ON 1H NMR METABOLOMICS
title_full_unstemmed EVALUATION OF GREEN BEANS OF SUKABUMI ARABICA COFFEE BASED ON 1H NMR METABOLOMICS
title_sort evaluation of green beans of sukabumi arabica coffee based on 1h nmr metabolomics
url https://digilib.itb.ac.id/gdl/view/72845
_version_ 1822992725089189888