Near infrared spectroscopy: An analytical tool to predict coffee roasting degree
Near infrared spectroscopy: An analytical tool to predict coffee roasting degree
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DOI：
10.1016/j.aca.2008.07.013
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发表时间：
2008-09-05
影响因子：
6.2
通讯作者：
Rosa, Marco Dalla
中科院分区：
文献类型：
--
作者：
Alessandrini, Laura;Romani, Santina;Rosa, Marco Dalla
本研究的主要目的是研究咖啡的一些烘焙变量(失重率、密度和水分)与原青(即生)和不同烘焙的咖啡样品的近红外光谱之间的关系，以检验无损近红外技术预测咖啡烘焙程度的有效性。分别建立了基于偏最小二乘回归的校正和验证模型，将168个代表性的近红外光谱数据和合适的生咖啡和烘焙咖啡样品与每个烘焙变量进行了关联。利用偏最小二乘回归对三种模型的焙烧反应进行了预测。预测结果精度较高，预测残差的均方根误差(RMSEP)在0.02~1.23%之间。考虑到实测值与预测值具有很高的相关系数(r从0.92到0.98)，所获得的数据允许构建稳健和可靠的模型来预测未知烘焙咖啡样品的烘焙变量。所提出的校正模型提供的结果在精度方面与传统分析方法相当，这表明近红外光谱方法在在线或常规应用中通过近红外光谱预测和/或控制咖啡烘焙程度具有很好的可行性。(C)2008爱思唯尔B.V.保留所有权利。
The main purpose of this study was to investigate the relationship between some coffee roasting variables (weight loss, density and moisture) with near infrared (NIR) spectra of original green (i.e. raw) and differently roasted coffee samples, in order to test the availability of non-destructive NIR technique to predict coffee roasting degree. Separate calibration and validation models, based on partial least square (PLS) regression, correlating NIR spectral data of 168 representatives and suitable green and roasted coffee samples with each roasting variable, were developed. Using PLS regression, a prediction of the three modelled roasting responses was performed. High accuracy results were obtained, whose root mean square errors of the residuals in prediction (RMSEP) ranged from 0.02 to 1.23%. Obtained data allowed to construct robust and reliable models for the prediction of roasting variables of unknown roasted coffee samples, considering that measured vs. predicted values showed high correlation coefficients (r from 0.92 to 0.98). Results provided by calibration models proposed were comparable in terms of accuracy to the conventional analyses, revealing a promising feasibility of NIR methodology for on-line or routine applications to predict and/or control coffee roasting degree via NIR spectra. (c) 2008 Elsevier B.V. All rights reserved.