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Rapid and nondestructive analysis of deep-fried taro chip qualities using near infrared spectroscopy

机译:近红外光谱法对油炸芋头芯片品质的快速和无损分析

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摘要

The objective of this study was to use near infrared spectroscopy to determine the moisture and fat content, color properties and maximum force of break of deep-fried taro chips as a rapid and non-destructive technique. Near infrared spectra were recorded on intact taro chips in the wavelength range of 1100-2500 nm collected using a near infrared spectrometer, followed by quality attribute measurements. The near infrared calibration models were developed individually using partial least square regression. The partial least square calibration models were found to have coefficients of determination (R-2) between 0.85 and 0.97 and for independent samples the ratio of prediction to deviation ranged from 2.0 to 4.9. The results indicated that near infrared spectroscopy offers a fast, simple, accurate and nondestructive method to determine the quality of intact, deep-fried taro chips. Therefore, it can be used in-line or at-line for the quality control of the deep-fried process and for better monitoring of changes in the chemical and physical properties of fried products during processing.
机译:本研究的目的是使用近红外光谱,确定水分和脂肪含量,颜色特性以及爆炸芋头芯片的最大力量作为一种快速和无损技术。使用近红外光谱仪收集的1100-2500nm的波长范围内的完整芋头芯片上,记录近红外光谱,然后记录在1100-2500nm的波长范围内,然后进行质量属性测量。近红外校准模型是使用偏最小二乘回归单独开发的。发现部分最小二乘校准模型具有0.85和0.97之间的测定系数(R-2),并且对于独立的样品,预测与偏差的比率范围为2.0至4.9。结果表明,近红外光谱提供快速,简单,准确,无损的方法,可以确定完整,油炸芋头芯片的质量。因此,它可以在线或在线用于油炸过程的质量控制,并在加工过程中更好地监测油炸产品的化学和物理性质的变化。

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