Journal
JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY
Volume 56, Issue 15, Pages 6261-6266Publisher
AMER CHEMICAL SOC
DOI: 10.1021/jf8005239
Keywords
beta-carotene; lycopene; chemical interferences; neural networks; UV spectroscopy
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In this study a new computerized approach and linear models (LMs) to solve the UV/vis spectroscopy interference effects of beta-carotene with lycopene analysis by neural networks (NNs) are considered. The data collected (absorbance values) obtained by UV/vis spectrophotometry were transferred into an NN-trained computer for modeling and prediction of output. Such an integrated NN/UV/Vis spectroscopy approach is capable of estimating P-carotene and lycopene concentrations with a mean prediction error 50 times lower than that calculated by the LM/UV/vis spectroscopy approach (without any previous physicochemical knowledge of the process to be modeled).
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