Abstract
Rapid quantitative analysis of daidzein and genistein in soybeans (Glycine max (L). Merr.) using FTIR spectroscopy and multivariate calibration
Highlights
Soybean [Glycine max (L.) Merr.] is a popular health nutritious vegetable food widely consumed in Indonesian
The research was aimed at quantifying daidzein (DN) and genistein (GN) in various soybean varieties applying Fourier transform Infrared (FTIR) spectroscopy coupled with two multivariate calibrations [principal component regression (PCR) and partial least square (PLS)]
The results revealed that PLS provides a better modeling than PCR for the relationship between actual values and FTIR spectroscopy-predicted values
Summary
Soybean [Glycine max (L.) Merr.] is a popular health nutritious vegetable food widely consumed in Indonesian. The economic value of soybean is very important for Indonesian society because various processed soy-based food products become their daily consumption. High-performance liquid chromatography (HPLC) is an analytical technique widely used for the analysis of DN and GN in soybean samples or soybean-based food products (Hong et al, 2011; Magiera and Sobik, 2017; Shao et al, 2011; Yatsu et al, 2016). An HPLC analysis needs complex sample preparation and skillful analysis; fast and reliable analytical techniques based on Fourier transform Infrared (FTIR) spectroscopy methods combined with chemometrics are developed for the analysis of DN and GN in soybeans (Mulsow et al, 2015). FTIR spectroscopy is based on the interaction between infrared radiation and samples to get specific peaks corresponding to the absorption of functional groups present in the analyzed samples (Rohman, 2012).
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