Fast quantitative analysis of cellulose and gum content in ramie based on near-infrared technique

As ramie is an important cellulose raw material in textile industry in China,a fast and accurate analysis method is required to determine its chemical composition.In this research,calibration models were established using near-infrared(NIR) spectroscopy assisted with partial least square(PLS) to predict the main chemical composition of ramie based on the prior work using an acousto-optic tunable filter(AOTF) near infrared spectrograph,and the thickness of samples affecting calibration model was also discussed.Results show that the average relative errors(AREs) of cellulose and gum content between the predicted value and the measured value were 1.11% and 4.54%,respectively,which were low enough for prediction.Meanwhile,the thicker the sample,the more accurate the NIR model to prediction.