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Non-destructive Measurement Of Soluble Solids Of Apple Using Near-infrared Spectroscopy

机译:使用近红外光谱法不破坏性测量苹果可溶性固体

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One-hundred apples were chosen, using the method of partial least squares (PLS). In this study the potential of visible and near-infrared reflectance & transmission spectroscopy as non-destructive measurement technique for measuring quality characteristics of apples is evaluated. The results of experiment are: Thirty samples are used to found model between reflectance spectrums and the soluble solids in apples' surface, obtain a validation correlative coefficient (R) of 0.99695, and the standard error of calibration (SEC) value is 0.0903; the other seventy samples are used to predict, the validation R of value is 0.97642, and the standard error of prediction (SEP) value is 0.287. Choosing forty samples from one hundred apples, thirty samples are used to found model between reflectance spectrums and the soluble solids in apples, obtain a validation R of 0.98541, and the SEC value is 0.171; the other ten samples are used to predict, the validation R of 0.98747, and the SEP value is 0.322. So, Near-infrared Spectroscopy (NIRS) is able to reach the soluble solids in apples' surface & apples demanded in practice. However, the same forty samples, thirty samples are used to found model between transmission spectrums and the soluble solids in apples, obtain a validation R of 0.78690, and the SEC value is 0.619; the other ten samples are used to predict, the validation R of 0.81326, and the SEP value is 1.804. The transmission results is unreasonable, the possible cause is the lower precision of apparatus, so, the transmission experiment is going on.
机译:选择一百个苹果,使用部分最小二乘(PLS)的方法。在该研究中,评估了作为用于测量苹果质量特性的非破坏性测量技术的可见光和近红外反射率和透射谱的潜力。实验结果是:三十个样品用于在苹果表面中的反射光谱和可溶性固体之间发现模型,获得0.99695的验证相关系数(R),校准(秒)值的标准误差为0.0903;其他70个样本用于预测,值的验证r为0.97642,并且预测的标准误差为0.287。从一百个苹果选择40个样品,三十个样品用于在苹果中的反射光谱和可溶性固体之间发现模型,获得0.98541的验证R,秒值为0.171;其他10个样本用于预测,验证R为0.98747,SEP值为0.322。因此,近红外光谱(NIRS)能够在实践中所需的苹果表面和苹果中的可溶性固体。然而,相同的40个样品,三十个样品用于在苹果中的透射光谱和可溶性固体之间发现模型,获得0.78690的验证R,并且SEC值为0.619;其他10个样本用于预测,验证R为0.81326,SEP值为1.804。传输结果不合理,可能的原因是设备的较低精度,因此,传输实验正在进行中。

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