首页> 外文期刊>Transactions of the ASABE >FOURIER TRANSFORM NEAR-INFRARED DETERMINATION OF TOTAL SOLUBLE SOLIDS AND AVAILABLE ACID IN INTACT PEACHES
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FOURIER TRANSFORM NEAR-INFRARED DETERMINATION OF TOTAL SOLUBLE SOLIDS AND AVAILABLE ACID IN INTACT PEACHES

机译:傅立叶变换近红外测定完整桃子中的总可溶性固形物和可用酸

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摘要

This research evaluated the potential of a Fourier transform near-infrared (FT-NIR) spectrometer with a reflectance fiber optic probe for determination of total soluble solids (TSS) content and available acid (VA) in intact peaches. It also investigated the relative performance of the calibration models with different data preprocessing methods (original, first derivative, and second derivative). Reflectance spectra were collected from two opposite sides of individual peaches, followed by standard destructive methods for analyzing TSS and VA of peaches. Calibration models were developed with the use of a partial least squares (PLS) technique. The best calibration model for TSS gave good predictions of TSS, with a coefficient of determination (r2) of 0.916 and a standard error of prediction (SEP) of 0.534. The best calibration model for VA prediction yielded r2 = 0.904 and SEP = 0.129. Thus, FT-NIR reflectance can be used to predict the TSS and VA of intact peaches. Based on the results, it was concluded that FT-NIR spectrometry could be an easy to facilitate, reliable, accurate, and fast method for non-invasive measurement of peach TSS and VA.
机译:这项研究评估了带有反射光纤探头的傅立叶变换近红外(FT-NIR)光谱仪用于测定完整桃子中总可溶性固形物(TSS)含量和有效酸(VA)的潜力。它还使用不同的数据预处理方法(原始,一阶导数和二阶导数)研究了校准模型的相对性能。从单个桃子的两个相对侧收集反射光谱,然后采用标准破坏性方法分析桃子的TSS和VA。校准模型是使用偏最小二乘(PLS)技术开发的。 TSS的最佳校准模型给出了TSS的良好预测,确定系数(r2)为0.916,预测标准误差(SEP)为0.534。 VA预测的最佳校准模型得出r2 = 0.904和SEP = 0.129。因此,FT-NIR反射率可用于预测完整桃子的TSS和VA。基于结果,可以得出结论,FT-NIR光谱法可以轻松,方便,可靠,准确,快速地进行桃TSS和VA的无损检测。

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