首页> 外文期刊>Applied Engineering in Agriculture >QUANTIFICATION OF TOTAL SOLUBLE SOLIDS AND TITRATABLE ACIDITY FOR CITRUS MATURITY USING PORTABLE VIS-NIR SPECTRORADIOMETER
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QUANTIFICATION OF TOTAL SOLUBLE SOLIDS AND TITRATABLE ACIDITY FOR CITRUS MATURITY USING PORTABLE VIS-NIR SPECTRORADIOMETER

机译:便携式可见近红外分光光度法定量柑橘成熟度的总固溶体和可滴定酸

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Soluble solids contents (SSC) and titratable acidity (TA) are the two major components in the citrus industry that have a direct impact on the crop value and the juice quality. It is crucial for growers to know the stage of maturity infield before harvesting and to know the fruit quality for the juice processing in the processing plant. This study presents an application of a commercially available visible-near infrared (Vis-NIR) spectroradiometer for estimating SSC and TA of Hamlin and Valencia orange, and Thompson Red grapefruit. The Vis-NIR spectra of the juice were acquired using a portable spectroradiometer within the wavelength range of 350 to 2,500 nm in transmission mode. The absorbance spectra were compared to the values of SSC and TA as analyzed using a bench top refractrometer and chemical titration, respectively. Calibration models relating the Vis-NIR spectra of the juice to its SSC and TA were developed based on two different regression analyses: principal component regression (PCR) and partial least squares regression (PLS-R). Selected combinations of spectral preprocessing such as derivatives, mean centering, multiplicative signal correction, standard normal variate, and detrending were applied to evaluate the performance of the calibration models. Performance of five different models in predicting the SSC and TA using the Vis-NIR ranges were compared. The best R 2 and root mean square error of prediction (RMSEP) for SSC were 0.91 and 0.47°Brix developed by Valencia orange absorbance spectra (Model 5), respectively. Meanwhile, the combination of Hamlin and Valencia absorbance spectra (Model 2) predicted the maximum TA with an R 2 of 0.73 and an RMSEP of 0.25%. The results concluded that portable Vis-NIR spectroradiometerbased technique can provide basic information on the levels of SSC and TA in-field as a preliminary analysis before harvesting.
机译:可溶性固形物含量(SSC)和可滴定酸度(TA)是柑橘行业中的两个主要成分,它们直接影响作物价值和果汁质量。对于种植者而言,至关重要的是要在收获前了解田间成熟阶段,并了解加工厂中果汁加工的水果质量。这项研究提出了一种商用的可见近红外(Vis-NIR)分光光度计在估算Hamlin和Valencia橙以及Thompson Red葡萄柚的SSC和TA方面的应用。果汁的Vis-NIR光谱是使用便携式光谱仪在透射模式下在350至2,500 nm的波长范围内获得的。将吸收光谱与分别使用台式折光仪和化学滴定法分析的SSC和TA值进行比较。基于两种不同的回归分析建立了将果汁的Vis-NIR光谱与其SSC和TA相关联的校准模型:主成分回归(PCR)和偏最小二乘回归(PLS-R)。频谱预处理的选定组合(例如导数,均值居中,乘法信号校正,标准正态变量和去趋势)用于评估校准模型的性能。比较了使用Vis-NIR范围预测SSC和TA的五个不同模型的性能。通过瓦伦西亚橙吸收光谱(模型5)得出的SSC的最佳R 2和预测均方根误差(RMSEP)分别为0.91和0.47°Brix。同时,Hamlin和Valencia吸收光谱(模型2)的组合预测最大TA,R 2为0.73,RMSEP为0.25%。结果表明,基于便携式Vis-NIR光谱仪的技术可以提供田间SSC和TA水平的基本信息,作为收获前的初步分析。

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