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Near-infrared spectroscopy for non-destructive determination of soluble solids content of Chinese citrus

机译:近红外光谱无损测定柑橘中可溶性固形物含量

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Near-infrared (NIR) spectroscopy has become a very popular technique for the non-invasive assessment of intact fruit. This work presents an application of a low-cost commercially available NIR spectrometer for the estimation of soluble solids content (SSC) of Chinese citrus. The configuration for the spectra acquisition was used (diffuse transmittance), using a custom-designed contact optical fiber probe. Samples of Chinese citrus in deferent orchard, collected over the 2005 harvest seasons, were analyzed for soluble solids content (Brix). Partial least squares calibration models, obtained from several preprocessing techniques (smoothing, multiplicative signal correction, standard normal variate, etc), were compared. Also, the short-wave (SW-NIR) spectral regions were used. Performance of different models was assessed in terms of root mean square of cross-validation, root mean square of prediction (RMSEP) and R for a validation set of samples. RMSEP of 0.538 with R = 0.896 indicate that it is possible to estimate Chinese citrus SSC (Brix value), by using a portable spectrometer.
机译:近红外(NIR)光谱技术已成为非侵入性评估完整水果的一种非常流行的技术。这项工作提出了一种低成本的商用近红外光谱仪在估计中国柑橘可溶性固形物含量(SSC)中的应用。通过定制设计的接触式光纤探头使用光谱采集的配置(漫透射率)。对2005年收获季节收集的不同果园中的中国柑桔样品进行了可溶性固形物含量分析(白利糖度)。比较了从几种预处理技术(平滑,乘性信号校正,标准正态变量等)获得的偏最小二乘校准模型。另外,使用了短波(SW-NIR)光谱区域。根据交叉验证的均方根,预测的均方根(RMSEP)和一组验证样本的R评估不同模型的性能。 RMSEP为0.538,R = 0.896,表明可以使用便携式光谱仪估算中国柑橘的SSC(白利糖度值)。

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