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|Título:||Evaluation of green coffee beans quality using near infrared spectroscopy: A quantitative approach|
|Autor:||Santos, João Rodrigo|
Sarraguça, Mafalda C.
Rangel, António O.S.S.
Lopes, João A.
|Palavras-chave:||Green coffee beans|
Coffee bean defects
Near infrared spectroscopy
Partial least squares regression
|Citação:||SANTOS, João Rodrigo ...[et al.] - Evaluation of green coffee beans quality using near infrared spectroscopy: A quantitative approach. Food Chemistry. ISSN 0308-8146. Vol. 35, n.º 3 (2012), p.1828–1835|
|Resumo:||Characterisation of coffee quality based on bean quality assessment is associated with the relative amount of defective beans among non-defective beans. It is therefore important to develop a methodology capable of identifying the presence of defective beans that enables a fast assessment of coffee grade and that can become an analytical tool to standardise coffee quality. In this work, a methodology for quality assessment of green coffee based on near infrared spectroscopy (NIRS) is proposed. NIRS is a green chemistry, low cost, fast response technique without the need of sample processing. The applicability of NIRS was evaluated for Arabica and Robusta varieties from different geographical locations. Partial least squares regression was used to relate the NIR spectrum to the mass fraction of defective and non-defective beans. Relative errors around 5% show that NIRS can be a valuable analytical tool to be used by coffee roasters, enabling a simple and quantitative evaluation of green coffee quality in a fast way.|
|Versão do Editor:||http://dx.doi.org/10.1016/j.foodchem.2012.06.059|
|Aparece nas colecções:||CBQF - Artigos em revistas internacionais com Arbitragem / Papers in international journals with Peer-review|
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