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Vis/NIR Spectroscopy Technique for Determination Quality Attributes of Tomato Fruit

机译:可见/近红外光谱技术确定番茄果实品质属性

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In this research,the potencial of using the Visible/Near Infrared Spectroscopy (Vis/NIRS) was investigated for measuring the quality attributes of Tomato 'Heatwave' (Lycopersicum esculentum), and the relationship is established between nondestructive Vis/NIR spectral measurements and the major physiological properties of tomto. The properties include fruit firmness, soluble solids content (SSC) and acidity (pH). Intact tomato fruit were measured by reflectance Vis/NIR in 350-2500 nm range. The data set as the logarithms of the reflectance reciprocal (absorbance (log 1/R)) was analyzed in order to build the best calibration model for each characteristic, using some spectral pretreatments and multivariate calibration techniques such as principal component regression (PCR) and partial least square regression (PLS). The models for the SSC (r = 0.90), standard error of prediction (SEP)= 0.19 °Brix with three factors; pH (r= 0.83), standard error of prediction (SEP)= 0.09°Brix with factors, compression force r= 0.81), standard error of prediction (SEP) =16.017°Brix N with six factors, and puncture force (r= 0.83), standard error of prediction (SEP) = 1.18°Brix N with three factors, shown the good to excellent prediction performance. The Vis/NIR spectroscopy technique had significantly greater accuracy for determining the SSC. It was concluded that the Vis/NIRS measurement technique seems reliable to assess the quality attributes of tomato non-destructively.
机译:在这项研究中,研究了使用可见/近红外光谱(Vis / NIRS)来测量番茄“热浪”(Lycopersicum esculentum)的质量属性的潜力,并建立了无损Vis / NIR光谱测量与番茄之间的关系。番茄的主要生理特性。这些特性包括水果硬度,可溶性固形物含量(SSC)和酸度(pH)。通过反射率Vis / NIR在350-2500 nm范围内测量完整的番茄果实。使用一些光谱预处理和多元校准技术(例如主成分回归(PCR)和质谱分析)对作为反射率倒数(吸光度(log 1 / R))的对数进行分析,以便为每个特性建立最佳校准模型。偏最小二乘回归(PLS)。 SSC模型(r = 0.90),预测标准误差(SEP)= 0.19°Brix,具有三个因素; pH(r = 0.83),预测标准误差(SEP)= 0.09°Brix(带因子,压缩力r = 0.81),预测标准误差(SEP)= 16.017°Brix N,六个因子,穿刺力(r = 0.83),标准预测误差(SEP)= 1.18°Brix N,具有三个因素,显示出良好的预测性能。 Vis / NIR光谱技术在确定SSC方面具有明显更高的准确性。结论是,Vis / NIRS测量技术似乎可以可靠地无损评估番茄的品质属性。

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