Abstract
The aim of this study is to determine the feasibility of Fourier transform infrared (FT-IR) spectroscopy for simultaneous determination of saponin contents in different soybean cultivars. In cross validation between predicted content of saponin by PLS regression modeling from FT-IR spectra and measured content by HPLC, total saponin contents were predicted with good accuracy (R 2 ≥ 0.71). In external validation, saponin group Ab (R 2 = 0.88), saponin DDMP-group βg (R 2 = 0.85), total saponin group B (R 2 = 0.88), and total saponin content (R 2 = 0.87) were predicted with good accuracy, while prediction for saponin group Aa (R 2 = 0.58), saponin group Bb′ (R 2 = 0.58), and total saponin group A (R 2 = 0.25) had relatively lower accuracy. Considering these results, we suggest that the PLS prediction system for saponin contents using FT-IR analysis could be applied as a novel screening tool for high yielding lines in soybean breeding.
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Acknowledgements
This work was supported by a Grant (PJ008329 to S.W.K.) from the Next-Generation BioGreen 21 Program of the Rural Development Administration of Korea. In addition, this work was supported by a Grant from the KRIBB Research Initiative Program, a Grant (111161-5) provided to SWK from the Korean Ministry for Agriculture, Food and Rural Affairs and a Grant (K14418) to SWK from the KIOM.
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Ahn, M.S., Jie, E.Y., Song, S.Y. et al. Simultaneous estimation of saponin contents from soybean seed using Fourier transform infrared spectroscopy and high-performance liquid chromatography analysis. Plant Biotechnol Rep 10, 403–414 (2016). https://doi.org/10.1007/s11816-016-0411-x
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DOI: https://doi.org/10.1007/s11816-016-0411-x