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Discrimination of green arabica and Robusta coffee beans by Raman spectroscopy.
J Agric Food Chem. 2010 Nov 10; 58(21):11187-92.JA

Abstract

This paper presents an approach that may be applied as an accurate and rapid tool for classifying coffee beans on the basis of the specific kahweol content. Using Fourier-transform Raman spectroscopy with 1064 nm excitation it is possible to monitor the characteristic Raman bands of kahweol in green coffee beans without chemical and physical processing of the beans. The procedure was optimized on the basis of 83 and 125 measurements of whole and ground beans, respectively, using coffee samples of two different species, Coffea arabica L. and Coffea canephora L. (var. Robusta), and different origins (Asia, Africa, and South America). The relative contribution of the kahweol in individual beans can be determined quantitatively by means of a component analysis of the spectra, yielding a spectral kahweol index (σka) that is proportional to the relative content of kahweol in a coffee bean. The reproducibility of the spectroscopic measurement and analysis was found to be 3.5%. Individual beans of the same type and origin reveal a scattering of the σka values. Nevertheless, an unambiguous distinction between Arabica and Robusta samples is possible on the basis of single-bean measurements as the σka values are greater than and less than 10 for Arabica and Robusta coffees, respectively. Measurements of whole and ground beans afforded very similar results, despite the heterogeneous distribution of kahweol within a bean. Unlike conventional analytical techniques, the single-bean sensitivity of the present approach may also allow for a rapid detection of unwanted admixtures of low-value Robusta coffee to high-quality and more expensive Arabica coffee.

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Publisher Full Text (DOI)

Authors+Show Affiliations

Keidel A
Technische Universität Berlin, Institut für Chemie, Sekr. PC14, Strasse des 17 Juni 135, D-10623 Berlin, Germany.
von Stetten D
No affiliation info available
Rodrigues C
No affiliation info available
Máguas C
No affiliation info available
Hildebrandt P
No affiliation info available

MeSH

CoffeaDiscriminant AnalysisQuality ControlSeedsSpectrum Analysis, Raman

Pub Type(s)

Evaluation Study
Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

20942389

Citation

Keidel, Anke, et al. "Discrimination of Green Arabica and Robusta Coffee Beans By Raman Spectroscopy." Journal of Agricultural and Food Chemistry, vol. 58, no. 21, 2010, pp. 11187-92.
Keidel A, von Stetten D, Rodrigues C, et al. Discrimination of green arabica and Robusta coffee beans by Raman spectroscopy. J Agric Food Chem. 2010;58(21):11187-92.
Keidel, A., von Stetten, D., Rodrigues, C., Máguas, C., & Hildebrandt, P. (2010). Discrimination of green arabica and Robusta coffee beans by Raman spectroscopy. Journal of Agricultural and Food Chemistry, 58(21), 11187-92. https://doi.org/10.1021/jf101999c
Keidel A, et al. Discrimination of Green Arabica and Robusta Coffee Beans By Raman Spectroscopy. J Agric Food Chem. 2010 Nov 10;58(21):11187-92. PubMed PMID: 20942389.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Discrimination of green arabica and Robusta coffee beans by Raman spectroscopy. AU - Keidel,Anke, AU - von Stetten,David, AU - Rodrigues,Carla, AU - Máguas,Cristina, AU - Hildebrandt,Peter, Y1 - 2010/10/13/ PY - 2010/10/15/entrez PY - 2010/10/15/pubmed PY - 2014/11/7/medline SP - 11187 EP - 92 JF - Journal of agricultural and food chemistry JO - J Agric Food Chem VL - 58 IS - 21 N2 - This paper presents an approach that may be applied as an accurate and rapid tool for classifying coffee beans on the basis of the specific kahweol content. Using Fourier-transform Raman spectroscopy with 1064 nm excitation it is possible to monitor the characteristic Raman bands of kahweol in green coffee beans without chemical and physical processing of the beans. The procedure was optimized on the basis of 83 and 125 measurements of whole and ground beans, respectively, using coffee samples of two different species, Coffea arabica L. and Coffea canephora L. (var. Robusta), and different origins (Asia, Africa, and South America). The relative contribution of the kahweol in individual beans can be determined quantitatively by means of a component analysis of the spectra, yielding a spectral kahweol index (σka) that is proportional to the relative content of kahweol in a coffee bean. The reproducibility of the spectroscopic measurement and analysis was found to be 3.5%. Individual beans of the same type and origin reveal a scattering of the σka values. Nevertheless, an unambiguous distinction between Arabica and Robusta samples is possible on the basis of single-bean measurements as the σka values are greater than and less than 10 for Arabica and Robusta coffees, respectively. Measurements of whole and ground beans afforded very similar results, despite the heterogeneous distribution of kahweol within a bean. Unlike conventional analytical techniques, the single-bean sensitivity of the present approach may also allow for a rapid detection of unwanted admixtures of low-value Robusta coffee to high-quality and more expensive Arabica coffee. SN - 1520-5118 UR - https://www.unboundmedicine.com/medline/citation/20942389/Discrimination_of_green_arabica_and_Robusta_coffee_beans_by_Raman_spectroscopy_ L2 - https://doi.org/10.1021/jf101999c DB - PRIME DP - Unbound Medicine ER -