Browse > Article
http://dx.doi.org/10.7732/kjpr.2014.27.4.286

Determination of Baicalin and Baicalein Contents in Scutellaria baicalensis by NIRS  

Kim, Hyo-Jae (Department of Medical Biotechnology, Soonchunhyang University)
Kim, Se-Young (Department of Medical Biotechnology, Soonchunhyang University)
Lee, Young-Sang (Department of Medical Biotechnology, Soonchunhyang University)
Kim, Yong-Ho (Department of Medical Biotechnology, Soonchunhyang University)
Publication Information
Korean Journal of Plant Resources / v.27, no.4, 2014 , pp. 286-292 More about this Journal
Abstract
Near infrared reflectance spectroscopy (NIRS) is a rapid and accurate analytical method for determining the composition of agricultural products and feeds. This study was conducted to measure baicalin, baicalein, and wogonin contents in Scutellaria baicalensis by using NIRS system. Total 63 samples previously were analyzed by HPLC, which showed baicalin, baicalein, and wogonin contents ranging 4.56 to 13.59%, 0.28 to 5.54%, and 0.50 to 1.63% with an average of 9.66%, 2.09% and 0.52%, respectively. Each sample was scanned by NIRS and calculated for calibration and validation equation. A calibration equation calculated by modified partial least squares(MPLS) regression technique was developed in which the coefficient of determination for baicalin, baicalein, and wogonin content was 0.958, 0.944, and 0.709, respectively. Each calibration equation was applied to validation set that was performed with the remaining samples not included in the calibration set, which showed high positive correlation both in baicalin and baicalein content file. In case of wogonin, the prediction model was needed more accuracy because of low $R^2$ value in validation set. These results demonstrate that the developed NIRS equation can be practically used as a rapid screening method for quantification of baicalin and baicalein contents in Scutellaria baicalensis.
Keywords
NIRS; Scutellaria baicalensis; Baicalin; Baicalein; MPLS regression;
Citations & Related Records
Times Cited By KSCI : 7  (Citation Analysis)
연도 인용수 순위
1 Kim, Y.H., C.S. Kang and Y.S. Lee. 2004. Quantification of tocopherol and tocotrienol content in rice bran by near infrared reflectance spectroscopy. Korean J. Crop Sci. 49:211-215.   과학기술학회마을
2 Kim, J.S., Y.H. Cho, J.G. Gwag, K.H. Ma, Y.M. Choi, J.B. Kim, J.H. Lee, T.S. Kim, J.K. Cho and S.Y. Lee. 2008. Quantitative analysis of amylose and protein content of rice germplasm in RDA-Genenbank by near infrared reflectance spectroscopy. J. Korean. Crop. Sci. 53(2):217-223.   과학기술학회마을
3 Kim, K.S., S.H. Park, M.G. Chung and Y.S. Jung. 2007. Use of near infrared spectroscopy for estimating fatty acid composition in intact seeds of rapeseed. J. Crop Sci. Biot. 10(1):15-20.
4 Kim, S.S., M.R. Rhyu, J.M. Kim and S.H. Lee. 2003. Authentication of rice using near-infrared reflectance spectroscopy. Cereal Chem. 80(3):346-349.   DOI
5 Kim, Y.H., B.R. Choi, H.Y. Baek and Y.S. Lee. 2002. Quantification of icariin contents in Epimedium koreanum N. by using a near infrared reflectance spectroscopy. K. J. Medicinal Crop Sci. 10(5):340-343.   과학기술학회마을
6 Li, X., Y. He and H. Fang. 2007. Nondestructive discrimination of Chinese bayberry varieties using Vis/NIR spectroscopy. J. Food Engineering. 81:35 7-363.   DOI   ScienceOn
7 Son, J.Y., K.J. Lee, S.W. Kang and W.K. Choi. 2008. Quality evaluation of sugar content for grapes using NIR spectroscopy. Food Engineering Progress 12(4):263-268.
8 Shenk, J.S., and M.O. Westerhaus. 1991. Population structuring of near infrared spectra and modified partial least squares regression. Crop Sci. 31: 1548-1555.   DOI
9 Cha, K.W., K.R. Ze, M.O. Youn, S. J. Lee, H.C. Choi and H.J. Kim. 2002. Determination of phenobarbital in intact phenobabital tablets using NIRS. Analytical Sci. & Technol. 15(2):102-107.
10 Ahn, H.G. and Y.H. Kim. 2012. Discrimination of Korean domestic and foreign soybeans using near infrared reflectance spectroscopy. Korean J. Crop Sci. 57(3):296-300.   과학기술학회마을   DOI   ScienceOn
11 Blanco, M. and I. Villarroya. 2002. NIR spectroscopy : a rapidresponse analytical tool. Trends in Analytical Chemistry 21(4):240-250.   DOI   ScienceOn
12 Kim, E.Y., J.H. Kim, N.Y. Lee, S.J. Kim and M.R. Rhyu. 2003. Discrimination of geographical origin for astragalus root (Astragalus membranaceus) by capillary electrophoresis and near infrared spectroscopy. Korean J. Food Sci. Technol. 35(5):818-824.   과학기술학회마을
13 Bertan, E., M. Blanco, J. Coello, H. Iturriaga, S. Maspoch and I. MontoliuI. 2000. Near infrared spectrometry and pattern recognition as screening methods for the authentication of virgin olive oils of very close geographical origins. J. Near Infrared Spectroscopy 8:45-52.   DOI
14 Choung, M.G., I.Y. Baek, S.T. Kang, W.Y. Han, D.C. Shin, H.P. Moon and K.H. Kang. 2001. Non-destructive method for selection of soybean lines contained high protein and oil by near infrared reflectance spectroscopy. Korean J. Crop Sci. 46(5):401-406.   과학기술학회마을
15 Chun, J.U. and K.C. Cho. 2007. Discrimination of Korean and Japanese green tea products using NIR Spectroscopy. J. Kor. Tea Soc. 13(1):93-104.