4.7 Article

Evaluation of green coffee beans quality using near infrared spectroscopy: A quantitative approach

期刊

FOOD CHEMISTRY
卷 135, 期 3, 页码 1828-1835

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.foodchem.2012.06.059

关键词

Green coffee beans; Coffee bean defects; Near infrared spectroscopy; Partial least squares regression; Experimental design

资金

  1. Fundacao para a Ciencia e a Tecnologia [PEst-C/EQB/LA0006/2011, PEst-OE/EQB/LA0016/2011]
  2. QREN
  3. POPH
  4. FSE
  5. MCTES
  6. [SFRH/BPD/63492/2009]
  7. [SFRH/BPD/747 88/2010]

向作者/读者索取更多资源

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. (C) 2012 Elsevier Ltd. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据