Abstract
It has reported that intake of isoflavonoids is effective for osteoporosis prevention in postmenopausal women. Kudzu belongs to legume, same as soybean, and its vine also includes much isoflavonoids.
When natural resources are used as industrial raw materials, quality control (QC) in its supply process is important. Aiming to use kudzu vine as a raw material of isoflavonoid supplement, prediction model of total amount of isoflavonoids in kudzu vine as a QC technique was constructed with Fourier transform near-infrared (FT-NIR) spectroscopy.
Freeze-dried powder samples of kudzu vines, which were harvested from 2006 to 2008, were measured by FT-NIR, and prediction model was constructed using the amount of total isoflavonoids in each kudzu vine and the FT-NIR spectra. The prediction model was validated using other test samples and its predicted values were close to measured values.
This study has been funded and supported by Japan Science and Technology Agency (JST).
