การหาปริมาณเนื้อยางแห้งของยางก้อนถ้วยด้วยวิธีเนียร์อินฟราเรดสเปกโทรสโกปี
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Abstract
Thailand is one of the leading producers of natural rubber with about 35 % market share. The natural rubber is used extensively in many rubber products either alone or in combination with other materials. The cup lump rubber is made of latex and coagulated in the collection cup. The cup lump rubber is a raw material for producing block rubber called STR 20 for use in rubber industry. The price of cup lump rubber mainly depends on amount of dry rubber content. Nowadays no method or instrument can evaluate the amount of dry rubber content rapidly and precisely. Thus, the purpose of this research is to predict dry rubber content of cup lump rubber using compact near infrared spectrometer in wavelength region of 900-1,700 nm. In order to acquire spectrum, a sample was cut equally into two sections to reveal measurement points on interior surface. The pretreatment methods such as SNV, the 1st derivative and the 2nd derivative were applied to deal with problems associated with noise, light-scattering and external effects prior to implement the regression analysis. The preprocessed spectra were modeled by partial least squares regression (PLSR), which was used for predicting dry rubber content. The experiments revealed that the model based on the 1st derivative at wavelength range of 1,000-1,600 nm presented the best prediction results as represented by coefficient of determination (R2) of 0.978, root mean square error of prediction (RMSEP) of 1.616 and residual prediction deviation (RPD) of 6.546 respectively. Therefore, it was concluded that the developed model achieved high accuracy of dry rubber content prediction and no doubt of utilizing it in the field.
Keywords: dry rubber content; cup lump rubber; near-infrared spectroscopy
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References
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