The Rapid Detection Method And Model Establishment Of Dry Matter And Soluble Sugar Of Rice And Rape Straw By Near Infrared Reflectance Spectroscopy

Rice and rape straw are two important biomass resources, and the dry matter, soluble sugar is the main chemical composition. In order to study rapid detection method for the rice and the rape straw dry matter, soluble sugar content of the rice and rape straw using near infrared reflectance spectroscopy (NIRS), and the main work of this study was to investigate and collect the four provinces of hubei hunan, sichuan and chongqing112rape straw samples and the provinces of hunan, hubei148rice straw samples respectively USES standard ASTM E1756-08and anthrone sulphuric acid colorimetry to detect sample chemical values of dry matter with soluble sugar content; Using the Antaris II type Fourier transform near infrared spectrometer in near infrared spectrum of the sample data collection; Using TQ analyst8.0software correction model to be set up, first to eliminate abnormal data samples, to determine the optimal spectral preprocessing methods, using interval partial least squares (iPLS) for the determination of the optimal spectral range spectral data, finally obtained by least squares (PLS) rape straw dry matter with soluble sugar content of near infrared spectral analysis model. The results are as follows:1. The NIRS quantitative analysis model was developed for dry matter and soluble sugar content in calibration sample of the rape straw set. The determination coefficient calibration (Rc2) and root mean square error of calibration (RMSEC) and root mean square error of validation in calibration sets was0.980,0.117and0.325(dry matter);0.918,0.169and0.548(soluble sugar).The ratio of performance to standard deviate of calibration (RPDc):6.735(dry matter),3.981(soluble sugar). The determination coefficient validation (Rv2) and root mean square error of prediction (RMSEP) in validation sets was0.936,0.211(dry matter);0.743,0.267(soluble sugar). The ratio of performance to standard deviate of validation (RPDv):5.072(dry matter),2.441(soluble sugar). It is observed that, using near infrared spectral analysis technology can well realize the rape straw dry matter content of rapid, non-destructive testing, and obtain the ideal prediction accuracy. But the soluble sugar of rape straw quantitative analysis of near infrared detection is implemented, but the precision of the model is not very high.2. The NIRS quantitative analysis model was developed for dry matter and soluble sugar content in calibration sample of the rice straw set. The determination coefficient calibration (Rc2) and root mean square error of calibration (RMSEC) and root mean square error of validation in calibration sets was0.977,0.206and0.869(dry matter);0.973,0.274and1.420(soluble sugar).The ratio of performance to standard deviate of calibration (RPDc):6.735(dry matter),5.595(soluble sugar). The determination coefficient validation (Rv2) and root mean square error of prediction (RMSEP) in validation sets was0.868,0.400(dry matter);0.914,0.474(soluble sugar). The ratio of performance to standard deviate of validation (RPDc):2.538(dry matter),3.422(soluble sugar). As you can see, using near infrared spectral analysis technology can well realize the rice straw dry matter with soluble sugar content of rapid, non-destructive testing, and obtain the ideal prediction accuracy.