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首页> 外文期刊>Journal of food engineering >In-line monitoring of durum wheat semolina wet agglomeration by near infrared spectroscopy for different water supply conditions and water addition levels
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In-line monitoring of durum wheat semolina wet agglomeration by near infrared spectroscopy for different water supply conditions and water addition levels

机译:通过近红外光谱在线监测硬质小麦粗粒小麦粗粉的团聚状况,以适应不同的供水条件和添加水量

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The aim of this work is (ⅰ) to study the ability of near infrared (NIR) spectroscopy to follow in-line the agglomeration process of durum wheat semolina using mechanical mixer according to two different water supply conditions (i.e. high versus low water flow rates) and to four different water addition levels, and (ⅱ) to describe the associated structural changes of agglomerates. The results showed that analyses of spectral variations can be useful to discriminate different agglomeration processes, which are associated to different kinetic changes in terms of agglomerate size distribution and water content per size fraction. Principal component analysis (PCA) has been used to qualitatively describe physical and chemical variations occurring during the wet agglomeration mechanisms and to identify specific kinetics and characteristic times. Whatever the water supply condition, kinetic variations of principal components (PCs) on raw and second derivative NIR spectra are observed. Characteristic times have been identified on PC scores and an attempt to link these times to changes of agglomerates physical and chemical properties have been carried out, mainly based on the analysis of associated loading spectra.
机译:这项工作的目的是(ⅰ)研究根据两种不同的供水条件(即高水流量还是低水流量),使用机械混合器在线跟踪硬质小麦粗粒粗粉的团聚过程的能力。 )和四个不同的水添加量,以及(ⅱ)描述附聚物的相关结构变化。结果表明,对光谱变化的分析可用于区分不同的团聚过程,这些团聚过程与团聚体尺寸分布和每单位尺寸分数的水含量方面的不同动力学变化有关。主成分分析(PCA)已用于定性描述湿团聚机理中发生的物理和化学变化,并确定特定的动力学和特征时间。无论供水条件如何,在原始和二阶导数NIR光谱上观察到主成分(PCs)的动力学变化。在PC分数上已经确定了特征时间,并且主要基于相关载荷谱的分析,尝试将这些时间与团聚体的物理和化学性质的变化联系起来。

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