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HomeAdvances in Science and TechnologyAdvances in Science and Technology Vol. 115Vis-NIR Spectroscopy and PLS-Da Model for...

Vis-NIR Spectroscopy and PLS-Da Model for Classification of Arabica and Robusta Roasted Coffee Bean

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Abstract:

Visible-Near Infrared (Vis-NIR) spectroscopy combined with partial least squares discriminant analysis (PLS-DA) was used to classify Arabica and Robusta roasted coffee beans. The number of coffee beans analyzed was 200 samples consisting of 5 origins (Flores, Temanggung, Aceh Gayo, Jawa, and Toraja). Reflectance spectra with a wavelength of 450-950 nm were used to build two types of models, namely single-origin and general models. Single-origin Flores, Temanggung, Aceh Gayo, and Toraja models performed very well to classify coffee beans samples from the same origin with Sen, Spe, Acc, and Rel of 1, as well as TFN and TFP of 0. General PLS-DA model with baseline correction pretreatment yields Sen, Spe, Acc, and Rel of 0.97, as well as TFN and TFP of 0.04. Based on this paper, it was concluded that Vis-NIR combined with PLS-DA perform well in classifying roasted coffee beans based on the variety.

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Life Science, Materials and Applied Chemistry

Life Science, Materials and Applied Chemistry

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Periodical:

Advances in Science and Technology (Volume 115)

Pages:

45-52

DOI:

https://doi.org/10.4028/p-60bbc9

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Online since:

August 2022

Authors:

Muhammad Fahri Reza Pahlawan, Rudiati Evi Masithoh*

Keywords:

Coffee Bean, PLS-Da, Vis-NIR

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© 2022 Trans Tech Publications Ltd. All Rights Reserved

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