title: [Quantitative analysis of reducing sugar in shu dihuang sewing with wine by near-infrared diffuse reflectance spectrum].
abstract: OBJECTIVE
  To determine rapidly the reducing sugar content in the powder of decoction pieces of Shu Dihuang stewing with mine by FT-NIRS and data analysis software.
  
  
  METHODS
  The powders of samples were analyzed by reducing sugar radiometer and FT-NIR spectra. The prediction model was set up based on PLS (partial least square) and was used to predict reducing the sugar content in the unknown samples.
  
  
  RESULTS
  Cross validation and test samples determination showed that the correlation coefficient of this prediction model were 89.02 and 88.47, the RMSECV were 0.962 and 0.987 respectively. And t-test showed that there was no significant difference between the true data and predictive value.
  
  
  CONCLUSIONS
  The prediction model could be used to predict reducing sugar content in the powder of decoction pieces of Shu Dihuang stewing with mine. This method is feasible to determine reducing sugar content in Shu Dihuang with convenient operation. It can offer reference to contents determination of other Chinese crude drugs and Chinese patent medicine.
authors.affiliation: Henan University of Traditional Chinese Medicine,Zhengzhou, 450008, China. white-yan@hotmail.com
authors.forename: Yan
authors.initials: Y
authors.lastname: Bai
authors.forename: Yong
authors.initials: Y
authors.lastname: Jia
authors.forename: Dong
authors.initials: D
authors.lastname: Wang
authors.forename: Zhi-hong
authors.initials: ZH
authors.lastname: Chen
authors.forename: Jun
authors.initials: J
authors.lastname: Li
mesh_terms: D002241:Carbohydrates / Q000032:analysis*; D004365:Drugs, Chinese Herbal / Q000032:analysis* / Q000737:chemistry; D016018:Least-Squares Analysis; D008962:Models, Theoretical; D010946:Plants, Medicinal / Q000737:chemistry; D011786:Quality Control; D032267:Rehmannia / Q000737:chemistry*; D017550:Spectroscopy, Fourier Transform Infrared / Q000379:methods*
chemical_list: D002241:Carbohydrates; D004365:Drugs, Chinese Herbal