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Prediction of Chufa MT-firmness using FT-NIR spectroscopy

机译:使用FT-NIR光谱预测CHUFA MT-FANDINGS

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Chufa (Eleocharis tuberose Schult) is a special local product in south China. It is both vegetable and fruit. Near infrared spectroscopy was widely used for fruit and vegetable quality evaluation. The objective of this research was to study whether Chufa MT-firmness can be nondestructively measured by NIR technology and chemometrics methods. Two hundreds and thirty-nine samples were collected from two different cultivate regions and in each region three plots were chosen. NIR spectral data were acquired in the spectral region between 800 nm and 2500 nm using Nicolet FT-NIR spectrometer. Firmness was detected by a biomaterial universal testing machine. Chemometrics methods of PLS, PCR and SMLR were applied to establish statistical models for establishing the relationship between Chufa NIR spectra and MT-firmness in three different spectral regions of 800-2500 nm, 830-1250 nm and 860-1090 nm. The PLS model educed better results than PCR and SMLR models. And for the three spectral regions, the full spectral region of 800-2500 nm was better than other two. The correlation coefficient (r), root mean square error of calibration (RMSEC), root mean square error of prediction (RMSEP) and root mean square error of cross validation (RMSECV) of the PLS model in the range of 800-2500 nm were 0.74, 4.96 N, 5.63 N and 5.38 N respectively.
机译:Chufa(Eleocharis Tuberose Schult)是华南地区的特殊当地产品。这是蔬菜和水果。近红外光谱广泛用于水果和蔬菜质量评价。本研究的目的是研究CHUFA MT-CLANINGS是否可以通过NIR技术和化学计量方法进行无损测量。从两种不同的培养区域收集两百和三十九个样品,在每个区域中选择三个图。使用NiColet FT-NIR光谱仪在800nm和2500nm之间的光谱区域中获得NIR光谱数据。生物材料通用试验机检测到坚固性。应用PLS,PCR和SMLR的化学计量方法,建立统计模型,用于在800-2500nm,830-1250nm和860-1090nm的三种不同光谱区域中建立CHUFA NIR光谱和MT-CLAND之间的关系。 PLS模型的产生比PCR和SMLR模型更好的结果。对于三个光谱区域,800-2500nm的全光谱区域优于其他两个。相关系数(R),校准的根均方误差(RMSEC),PLS模型的横向验证(RMSECV)的根均方误差和800-2500nm范围的横向验证(RMSECV)的根均线误差0.74,4.96 n,5.63 n和5.38 n。

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