Monitoring of the hydrolysis process of bear bile powder using near infrared spectroscopy and chemometrics

被引:9
|
作者
Li, Wenlong [1 ]
Cheng, Zhiwei [1 ]
Qu, Haibin [1 ]
机构
[1] Zhejiang Univ, Pharmaceut Informat Inst, Hangzhou 310058, Zhejiang, Peoples R China
基金
中国博士后科学基金;
关键词
Hydrolysis process; Bear bile powder; Near infrared spectroscopy; Partial least squares regression; Moving block of standard deviation; Endpoint determination; NIR SPECTROSCOPY; QUANTIFICATION; PRECIPITATION; VALIDATION; ACID;
D O I
10.1016/j.measurement.2016.03.022
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
A near infrared (NIR) spectroscopy-based method was developed for monitoring the hydrolysis process of bear bile powder. During the hydrolysis process, samples were collected and measured using both NIR spectrometer and high performance liquid chromatography. The quantitative calibration models were established with the collected NIR spectra and the reference concentrations of tauroursodeoxycholic acid (TUDCA), taurochenodeoxycholic acid (TCDCA), ursodeoxycholic acid (UDCA), and chenodeoxycholic acid (CDCA) using partial least squares regression algorithm. After the models were established and validated, the samples of new batches can be determined rapidly, and the hydrolysis process of bear bile powder can be monitored quantitatively. Additionally, a moving block of standard deviation (MBSD) method was also developed for the endpoint determination of the hydrolysis process. The proposed methods have reduced the laborious workload of process sample analysis significantly, and the fast analytical results have contributed to the understanding and controlling of the bear bile powder hydrolysis process. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:18 / 26
页数:9
相关论文
共 50 条
  • [31] On-line monitoring of powder blending with near-infrared spectroscopy
    De Maesschalck, R
    Sanchez, FC
    Massart, DL
    Doherty, P
    Hailey, P
    APPLIED SPECTROSCOPY, 1998, 52 (05) : 725 - 731
  • [32] Quality control of Lonicerae Japonicae Flos using near infrared spectroscopy and chemometrics
    Li, Wenlong
    Cheng, Zhiwei
    Wang, Yuefei
    Qu, Haibin
    JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS, 2013, 72 : 33 - 39
  • [33] Chemometrics and near-infrared spectroscopy: Avoiding the pitfalls
    Small, Gary W.
    TRAC-TRENDS IN ANALYTICAL CHEMISTRY, 2006, 25 (11) : 1057 - 1066
  • [34] Chemometrics for near infrared spectroscopy: Past present and future
    Fearn, T.
    Spectroscopy Europe, 2001, 13 (02): : 10 - 14
  • [35] Determination of polysaccharides of auricularia auricula using visible/near infrared spectroscopy and chemometrics
    Liu, Fei
    Jin, Zonglai
    Zhang, Fan
    Sun, Guangming
    Zhou, Weijun
    He, Yong
    28TH INTERNATIONAL CONGRESS ON HIGH-SPEED IMAGING AND PHOTONICS, 2009, 7126
  • [36] Characterization of Chickpea Flour by Near Infrared Spectroscopy and Chemometrics
    Kamboj, Uma
    Guha, Paramita
    Mishra, Sunita
    ANALYTICAL LETTERS, 2017, 50 (11) : 1754 - 1766
  • [37] Determination of Tartaric Acid of Fruit Vinegars Using Near Infrared Spectroscopy and Chemometrics
    Liu, Fei
    Wang, Li
    He, Yong
    ICNC 2008: FOURTH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, VOL 3, PROCEEDINGS, 2008, : 165 - 169
  • [38] Qualitative and quantitative analysis of Angelica sinensis using near infrared spectroscopy and chemometrics
    Li, Boxia
    Wang, Chengqi
    Xi, Lili
    Wei, Yuhui
    Duan, Haogang
    Wu, Xinan
    ANALYTICAL METHODS, 2014, 6 (24) : 9691 - 9697
  • [39] Monitoring of lactic acid fermentation process using Fourier transform near infrared spectroscopy
    Grassi, Silvia
    Alamprese, Cristina
    Bono, Veronica
    Picozzi, Claudia
    Foschino, Roberto
    Casiraghi, Ernestina
    JOURNAL OF NEAR INFRARED SPECTROSCOPY, 2013, 21 (05) : 417 - 425
  • [40] Partial least squares model based process monitoring using near infrared spectroscopy
    1600, Budapest University of Technology and Economics (57): : 1 - 2