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

机译:近红外光谱法无损测量苹果中的可溶性固形物

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One-hundred apples were chosen, using the method of partial least squares (PLS). Inthis study the potential of visible and near-infrared reflectance & transmission spectroscopy asnon-destructive measurement technique for measuring quality characteristics of apples isevaluated. The results of experiment are : Thirty samples are used to found model betweenreflectance spectrums and the soluble solids in apples’ surface, obtain a validation correlativecoefficient ( R ) of 0.99695, and the standard error of calibration (SEC) value is 0.0903; the otherseventy samples are used to predict, the validation R of value is 0.97642, and the standard errorof prediction (SEP) value is 0.287. Choosing forty samples from one hundred apples, thirtysamples 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 topredict, 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 transmissionspectrums and the soluble solids in apples, obtain a validation R of 0.78690, and the SEC valueis 0.619; the other ten samples are used to predict, the validation R of 0.81326, and the SEPvalue is 1.804. The transmission results is unreasonable, the possible cause is the lowerprecision of apparatus, so, the transmission experiment is going on.
机译:使用偏最小二乘(PLS)方法选择了一百个苹果。在 这项研究将可见光和近红外反射率与透射光谱的潜力作为 用于测量苹果质量特征的无损测量技术是 评估。实验结果是:用30个样本建立模型之间的关系。 反射光谱和苹果表面的可溶性固体,获得相关的验证 系数(R)为0.99695,校准标准误差(SEC)值为0.0903;另一个 使用70个样本进行预测,值的验证R为0.97642,标准误为 预测(SEP)值是0.287。从一百个苹果,三十个苹果中选择40个样本 样品用于在反射光谱和苹果中的可溶性固体之间建立模型, 获得0.98541的验证R,SEC值为0.171;其他十个样本用于 预测,验证R为0.98747,SEP值为0.322。因此,近红外光谱 (NIRS)能够达到苹果表面和实际需要的苹果中的可溶性固形物。 但是,相同的四十个样本,三十个样本用于建立传输之间的模型 光谱和苹果中的可溶性固体,获得的验证R为0.78690,并且SEC值 是0.619;其他十个样本用于预测,验证R为0.81326和SEP 值是1.804。传输结果不合理,可能的原因是较低的 仪器的精度,因此,传输实验正在进行中。

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