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Updated: Jul 4, 2026

Ultrafast Time-resolved Near-IR Stimulated Raman Measurements of Functional π-conjugate Systems
Published on: February 10, 2020
Solving the spectroscopy interference effects of beta-carotene and lycopene by neural networks
José S Torrecilla1, Montaña Cámara, Virginia Fernández-Ruiz
1Departamentos de Ingeniería Química and Química Analítica, Facultad de Ciencias Químicas, Facultad de Farmacia, Universidad Complutense de Madrid, Avenida Complutense s/n, 28040 Madrid, Spain.
Abstract:
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 beta-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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