Parallel comparison of in situ Raman and NIR spectroscopies to simultaneously measure multiple variables toward real-time monitoring of CHO cell bioreactor cultures

被引:25
作者
Li, Mengyao [1 ]
Ebel, Bruno [1 ]
Chauchard, Fabien [2 ]
Guedon, Emmanuel [1 ]
Marc, Annie [1 ]
机构
[1] Univ Lorraine, CNRS, Lab React & Genie Proc, UMR 7274, 2 Ave Foret Haye,TSA 40602, F-54518 Vandoeuvre Les Nancy, France
[2] INDATECH, 4 Rue Georges Besse, F-34830 Clapiers, France
关键词
Chinese Hamster Ovary cells; Figures of merit; In situ and real-time monitoring; Near infrared spectroscopy; Raman spectroscopy; Process analytical technology; NEAR-INFRARED-SPECTROSCOPY; MULTIVARIATE-ANALYSIS; CULTIVATIONS; CHEMOMETRICS; CALIBRATION; PREDICTION; FIGURES; MODELS; SYSTEM; MERIT;
D O I
10.1016/j.bej.2018.06.005
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
For the first time, the ability of in situ Raman and Near Infrared (NIR) spectroscopies to predict in real-time the concentration of viable Chinese Hamster Ovary (CHO) cells, glucose, lactate, glutamine, ammonium and antibodies in bioreactors has been compared in parallel. PIS models were developed using Raman and NIR spectra recorded at same time points and in same cultures. Multivariate figures of merit were established to thoroughly compare the performances of models. Raman spectroscopy was found to better predict concentrations of glucose, lactate and antibody, while NIR spectroscopy predicted better glutamine and ammonium ion concentrations. By applying the models developed on spectra recorded continuously during a batch culture, both spectroscopies were able to monitor simultaneously the general trends of the concentration of different analytes, while Raman predictions were more accurate at the beginning of the culture. Moreover, other chemometric methods (partial least square regression of type 2 and spectral combination) were tested, but leading to only limited model performance improvements. Both spectroscopies are suitable tools for real-time monitoring of cell culture bioprocesses, while Raman spectroscopy provides several advantages concerning sensibility, selectivity and limit of detection. These results provide useful information for academic researchers and pharmaceutical industries to choose the most adequate spectroscopic technology for their cell culture bioprocesses. (C) 2018 Elsevier B.V. All rights reserved.
引用
收藏
页码:205 / 213
页数:9
相关论文
共 29 条
  • [1] [Anonymous], 2005, INT C HARM GEN SWITZ
  • [2] Cross-Scale Predictive Modeling of CHO Cell Culture Growth and Metabolites Using Raman Spectroscopy and Multivariate Analysis
    Berry, Brandon
    Moretto, Justin
    Matthews, Thomas
    Smelko, John
    Wiltberger, Kelly
    [J]. BIOTECHNOLOGY PROGRESS, 2015, 31 (02) : 566 - 577
  • [3] Quick generation of Raman spectroscopy based in-process glucose control to influence biopharmaceutical protein product quality during mammalian cell culture
    Berry, Brandon N.
    Dobrowsky, Terrence M.
    Timson, Rebecca C.
    Kshirsagar, Rashmi
    Ryll, Thomas
    Wiltberger, Kelly
    [J]. BIOTECHNOLOGY PROGRESS, 2016, 32 (01) : 224 - 234
  • [4] In situ sensor techniques in modern bioprocess monitoring
    Beutel, Sascha
    Henkel, Steffen
    [J]. APPLIED MICROBIOLOGY AND BIOTECHNOLOGY, 2011, 91 (06) : 1493 - 1505
  • [5] Detection limits in classical multivariate calibration models
    Boqué, R
    Faber, NKM
    Rius, FX
    [J]. ANALYTICA CHIMICA ACTA, 2000, 423 (01) : 41 - 49
  • [6] Burns D.A., 2007, Handbook of near-infrared analysis
  • [7] Multivariate analysis of combined reflectance FT-NIR and micro-Raman spectra on oil-paint models
    Carlesi, Serena
    Ricci, Marilena
    Cucci, Costanza
    Lofrumento, Cristiana
    Picollo, Marcello
    Becucci, Maurizio
    [J]. MICROCHEMICAL JOURNAL, 2016, 124 : 703 - 711
  • [8] Application of Near-Infrared Spectroscopy for Monitoring and Control of Cell Culture and Fermentation
    Cervera, Albert E.
    Petersen, Nanna
    Lantz, Anna Eliasson
    Larsen, Anders
    Gernaey, Krist V.
    [J]. BIOTECHNOLOGY PROGRESS, 2009, 25 (06) : 1561 - 1581
  • [9] Chemometrics and in-line near infrared spectroscopic monitoring of a biopharmaceutical Chinese hamster ovary cell culture: Prediction of multiple cultivation variables
    Clavaud, Matthieu
    Roggo, Yves
    Von Daeniken, Ralph
    Liebler, Andre
    Schwabe, Jan-Oliver
    [J]. TALANTA, 2013, 111 : 28 - 38
  • [10] Multivariate figures of merit (FOM) investigation on the effect of instrument parameters on a Fourier transform-near infrared spectroscopy (FT-NIRS) based content uniformity method on core tablets
    Doddridge, Greg D.
    Shi, Zhenqi
    [J]. JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS, 2015, 102 : 535 - 543