首页> 外文期刊>Acta Horticulturae >Non-destructive measurement of pH, soluble solids and firmness of Jonagold apples using NIR-spectroscopy.
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Non-destructive measurement of pH, soluble solids and firmness of Jonagold apples using NIR-spectroscopy.

机译:使用近红外光谱技术对乔纳金苹果的pH值,可溶性固形物和硬度进行无损测量。

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摘要

In this paper, the potential of visible and near infrared spectroscopy (380-2000 nm) as a non-destructive measurement technique for measuring quality characteristics of Jonagold apples is evaluated. A relation has been established between the reflectance spectra recorded with bifurcated optical fibre and fruit parameters such as the pH, the soluble solid content, the stiffness factor and other texture parameters such as the E-modulus of the flesh. The data were analysed with multivariate calibration techniques such as principal component analysis, principal component regression and partial least squares analysis. The impact of the data pre-processing on the prediction performance has also been investigated. The models for the pH, the soluble solidcontent and the stiffness factor indicated a good to an excellent prediction performance. It was shown that the pH model has a physique-chemical background. The prediction performance of the models for mechanical texture properties such as the E-modulushowever, was not yet satisfactory.
机译:在本文中,评估了可见光和近红外光谱(380-2000 nm)作为一种无损测量技术来测量乔纳金苹果品质特征的潜力。在用分叉光纤记录的反射光谱与水果参数(例如pH,可溶固体含量,刚度因子)和其他质地参数(例如肉的E模量)之间建立了关系。使用多元校正技术对数据进行分析,例如主成分分析,主成分回归和偏最小二乘分析。还研究了数据预处理对预测性能的影响。 pH,可溶性固形物含量和刚度因子的模型显示出良好的预测性能。结果表明,pH模型具有物理化学背景。然而,机械纹理特性(例如E模量)模型的预测性能尚不令人满意。

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