Volatile Fatty Acid number(VFA no.)is one of the parameters indicating the state of quality of Para rubber latex at that particular time.Most factories analyze this parameter using standard analytical method as in ISO...Volatile Fatty Acid number(VFA no.)is one of the parameters indicating the state of quality of Para rubber latex at that particular time.Most factories analyze this parameter using standard analytical method as in ISO 506:1992(E).Nevertheless,this procedure is complicated,chemical and time consuming,as well as skilled analyst required.Therefore,near infrared(NIR)spectroscopy which is rapid,accurate and nonchemicals method was applied to determine the VFA no.infield latex and concentrated latex based on quantification and discriminant model.The best calibration equation was obtained from standard normal variate(SNV)spectra in the region of 6109.7–5770.3,4613.1–4242.9 cm^(-1) with R?0:832,SECV?0:036 and no bias.From the performance check,statistically it was found that SECV and bias were low enough for practical acceptance and the predicted VFA no.was not di®erent significantly from actual VFA no.at 95% confidence intervals.In addition,discriminant model was developed to separate good quality latex from the deteriorated latex using VFA no.at 0.06 as standard as in ISO 2004:2010(E).The discriminant model can be used to screen the latex with overall accuracy of 91.86%in validation set.展开更多
文摘Volatile Fatty Acid number(VFA no.)is one of the parameters indicating the state of quality of Para rubber latex at that particular time.Most factories analyze this parameter using standard analytical method as in ISO 506:1992(E).Nevertheless,this procedure is complicated,chemical and time consuming,as well as skilled analyst required.Therefore,near infrared(NIR)spectroscopy which is rapid,accurate and nonchemicals method was applied to determine the VFA no.infield latex and concentrated latex based on quantification and discriminant model.The best calibration equation was obtained from standard normal variate(SNV)spectra in the region of 6109.7–5770.3,4613.1–4242.9 cm^(-1) with R?0:832,SECV?0:036 and no bias.From the performance check,statistically it was found that SECV and bias were low enough for practical acceptance and the predicted VFA no.was not di®erent significantly from actual VFA no.at 95% confidence intervals.In addition,discriminant model was developed to separate good quality latex from the deteriorated latex using VFA no.at 0.06 as standard as in ISO 2004:2010(E).The discriminant model can be used to screen the latex with overall accuracy of 91.86%in validation set.
