title: [Measurement of borneol based on near infrared spectroscopy].
abstract: Infrared spectroscopy can provide integrated information of samples, and is easy to be applied to on-line control. So quality control specification of Chinese drugs can be improved by utilizing this method for the production of Chinese drugs. This method can accelerate the modernization process of Chinese drugs. Borneol is an effective constituent in lots of active Chinese drugs. The spectral characteristics of borneol in near infrared region were investigated in this paper. The characteristic absorption peaks of bomeol were found by measuring its spectra in near infrared band. There are five absorption peaks of borneol close to 4828, 5003, 5736, 7044 and 8387 cm(-1), respectively. Establishing a partial least square (PLS) model can get optimal results in model building experiment. The predictive results show that the linear relationship between twenty-five samples' predicted values and real values is good with regard to the content of borneol. In calibration model, the root mean square error of prediction (RMSEP) of the content of borneol is 0.28 mg x mL(-1) and the number of the principal components is equal to two. The experimental results show that infrared spectroscopy can be used as a means in the field of quality control of Chinese drugs and the measurement of effective constituents of Chinese drugs.
authors.affiliation: National Key Laboratory of Precision Measuring and Testing Techniques and Instruments, Tianjin University, Tianjin 300072, China.
authors.forename: Xiao-yu
authors.initials: XY
authors.lastname: Gu
authors.forename: Yan
authors.initials: Y
authors.lastname: Wang
authors.forename: Ke-xin
authors.initials: KX
authors.lastname: Xu
authors.forename: Lin
authors.initials: L
authors.lastname: Li
authors.forename: Ning-sheng
authors.initials: NS
authors.lastname: Ling
mesh_terms: D002138:Calibration / Q000592:standards; D001892:Camphanes / Q000032:analysis*; D004041:Dietary Fats; D005506:Food Contamination; D016018:Least-Squares Analysis; D016571:Neural Networks, Computer; D013055:Spectrophotometry, Infrared / Q000379:methods; D017550:Spectroscopy, Fourier Transform Infrared / Q000379:methods*; D019265:Spectroscopy, Near-Infrared / Q000379:methods*
chemical_list: D001892:Camphanes; D004041:Dietary Fats; C022871:isoborneol