The Application Of NIRS Technology In Ramie Chemical Components Determination

Since the Ramie fiber has its unique advantages, the application of Ramie fiber attracts more and more attention in textile industry, and the research about the application and testing of Ramie becomes more and more important."GB/T5889-1986"is the standard and most popolar testing method to determine the chemical component of Ramie, but the disvanages of this method such as complex operation steps make this the determination of ramie chemical component will take 2 weeks for one sample. Therefore, improving the efficiency of chemical component determination is an important factor for the widely application of Ramie. In this research, The applicability of NIRS method were studied since NIRS is an accurate testing method for the chemical component determination of other plants or samples, the following is the summary of the work and the achievement.1. Total 112 Ramie samples have been analyzed using"GB/T5889-1986"method for all the component of Ramie. These data will use for validation of the NIRS model.2. The near infrared spectrum of total 89 Ramie samples have been collected using DA7200 near infrared spectrometer, after that, pre-processing has been conducted for every chemical component with different method: (1) Hydrotrope: MSC+1st Der+6Factor; (2) Pectin: MSC+1st Der+4Factor; (3) Hemicellulose: MSC+1st Der+4Factor; (4) Cellulose: MSC+1st Der+6Factor; (5) Lignin: MSC+2st Der+5Factor.3. The qutitative methematic model has been created by PLS method. The related parameters of the model are summarized as following:(1) The correlation coefficient between the predicted value and determined value of calibration set are RH ydrotrope=0.99; RP ectin= 0.904; RH emicellulose=0.985; RC ellulose=0.973; RL ignin=0.906.(2) The Square Error of Cross Validation of the model are SECVH ydrotrope=0.443; SECVP ectin= 0.252; SECVH emicellulose=0.262; SECVC ellulose=0.973; SECVL ignin=0.973.(3) The coefficient of determination between the predicted value and the determined value of validation set are R 2Hydrotrope=0.99 ; R 2Pectin= 0.969 ; R 2Hemicellulose=0.904 ; R 2Cellulose=0.944 ;2R Lignin=0.98.(4) The Square Error of Prediction of validation set are SEPH ydrotrope=0.44; SEPP ectin= 0.443;SEPH emicellulose=0.667; SEPC ellulose=0.968; SEPL ignin=0.06.4 These two methods have been evaluated using T-test. It shows atα=0.05 level, the difference between results of"GB/T5889-86"method and NIRS methods is not significant.5 The predict model for Hydrotrope, Pectin, Hemicellulose, and Cellulose were validated having good coorelation with testing data, but the predictiong for Lignin shows less accuracy.