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Study on Interference from the Peel to Predict Apple Firmness by Near Infrared Spectroscopy

机译:近红外光谱法从剥离的干扰研究

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The near infrared spectra of apples with peel and peeled were collected by FT-NIR spectrometer. In order to reduce the influence on the model of apple firmness, the useful wavelengths were selected and the outlier samples were deleted. To analyze the difference between the models with peel and peeled, the calibration and prediction samples were divided for ten times and were used to build the ten different firmness models for both peel and peeled. In the models of peeled apple, the correlation coefficient (r) and the relative standard deviation of prediction (RSDp) were all around 0.84 and 12.6%, respectively, indicating that the peeled models were stable. For the peel model, r and RSDp were 0.74-0.86 and 13.5-17.7%, respectively, suggesting that the stability of the peel model was not very good. The t-test for ten groups of RSDp showed that the difference was significant between the peel and peeled models (P<0.0001). In addition, the results from Magness-Taylor puncture test only represented the firmness of flesh. However, the near infrared diffuse reflectance spectra of peel apples contained the information of pectin substance from both peel and flesh. The pectin substance content was closely related to the apple's firmness. Therefore, the spectra and reference firmness data were not corresponded and the absorbance spectra of peel became the interference for the near infrared spectra of peel apple. It was obtained the reason for the prediction ability of peel apple model for the firmness reducing.
机译:通过FT-NIR光谱仪收集具有剥离和去皮的苹果的近红外光谱。为了减少对苹果公司模型的影响,选择了有用的波长,删除了异常样品。为了分析剥离和去皮的模型之间的差异,校准和预测样本分为十次,用于构建两种不同的剥离和去皮的型号。在剥离苹果的模型中,相关系数(R)和预测(RSDP)的相对标准偏差分别为约0.84和12.6%,表明去皮模型稳定。对于剥离模型,r和rsdp分别为0.74-0.86和13.5-17.7%,表明剥离模型的稳定性不是很好。十组RSDP的T检验表明,果皮和去皮模型之间的差异是显着的(P <0.0001)。此外,Magness-Taylor穿刺试验的结果仅代表了肉体的坚定性。然而,剥离苹果的近红外漫射反射光谱含有来自果皮和肉的果胶物质的信息。果胶物质含量与苹果的坚定性密切相关。因此,光谱和参考功能数据未对应,并且果皮的吸光度光谱成为剥苹果近红外光谱的干扰。获得了剥离苹果模型对硬度减少的预测能力的原因。

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