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Ultraviolet-visible transmittance techniques for rapid analysis of sugar content and soluble solids content of fresh navel orange juices

机译:紫外 - 可见透射率技术,用于快速分析糖含量和新鲜脐橙汁的可溶性固体含量

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Sugar content (SC) and soluble solids content (SSC) are very important factors of navel orange internal quality and can be measured non-invasively by ultraviolet-visible spectroscopy techniques The feasibility and methods of ultraviolet-visible spectroscopic techniques for rapid quantifying SC and SSC of navel orange fresh juices was investigated by its spectral transmittance. A total 55 juice samples were used to develop the calibration and prediction models. Different spectra correction algorithms (constant, multiplicative signal correction (MSC) and standard normal variate (SNV) were compared in our work. Three different kinds of mathematical spectra treatments (original, first derivative and second derivative) of spectra in the range of 200-800 nm and two kinds of reference standards were also investigated. Three kinds of models including partial least square regression (PLSR), stepwise multiple linear regression (SMLR) and principle component regression (PCR) were evaluated for the determination of SC and SSC in navel orange juice. Calibration models based on the different spectral ranges were also compared. Performance of different models was assessed in terms of root mean square errors of prediction (RMSEP) and correlation coefficient (r) of prediction set of samples. The correlation coefficients of calibration models for SC and SSC were 0.965 and 0.961, the correlation coefficients of prediction models for SC and SSC were 0.857 and 0.888, and the corresponding RMSEP were 0.562 and 0.492 respectively. The results show that ultraviolet-visible transmittance technique is a feasible method for non-invasive estimation of fruit juice SC and SSC.
机译:糖含量(SC)和可溶性固体含量(SSC)是脐橙内部质量的非常重要的因素,可以通过紫外线可见光谱技术无侵入性地测量紫外线可见光镜技术的可行性和方法,用于快速定量SC和SSC通过其光谱透射率研究了脐橙新鲜果汁。总共55个果汁样品用于开发校准和预测模型。在我们的工作中比较了不同的光谱校正算法(常数,乘法信号校正(MSC)和标准正常变化(SNV)。光谱的三种不同的数学谱处理(原始,第一衍生物和第二衍生物)的范围为200-还研究了800纳米和两种参考标准。评价包括局部最小二乘回归(PLSR),逐步多线性回归(SMLR)和原理成分回归(PCR)的三种模型,用于测定肚脐中的SC和SSC橙汁。还比较了基于不同光谱范围的校准模型。在预测(RMSEP)的根均方误差和预测样本集的相关系数(R)方面,评估不同模型的性能。校准的相关系数SC和SSC的模型为0.965和0.961,SC和SSC的预测模型的相关系数为0.857和0 .888,相应的RMSEP分别为0.562和0.492。结果表明,紫外线可见光透射率技术是果汁SC和SSC的非侵入性估计的可行方法。

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