Quantitative monitoring of yeast fermentation using Raman spectroscopy

被引:47
作者
Iversen, Jens A. [1 ,3 ]
Berg, Rolf W. [2 ]
Ahring, Birgitte K. [1 ,3 ]
机构
[1] Aalborg Univ, Sect Sustainable Biotechnol, DK-2450 Copenhagen, SV, Denmark
[2] Tech Univ Denmark, Dept Chem, DK-2800 Lyngby, Denmark
[3] Washington State Univ Tri Cities, Ctr Bioprod & Bioenergy, Richland, WA 99354 USA
关键词
Raman spectroscopy; Sapphire ball probe; On-line monitoring; Yeast fermentation; Quantitative analysis; Scattering correction; LIGHT-SCATTERING; BIOPROCESS; ABSORPTION; GLUCOSE; ETHANOL; CHEMOMETRICS;
D O I
10.1007/s00216-014-7897-2
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Compared to traditional IR methods, Raman spectroscopy has the advantage of only minimal interference from water when measuring aqueous samples, which makes this method potentially useful for in situ monitoring of important industrial bioprocesses. This study demonstrates real-time monitoring of a Saccharomyces cerevisiae fermentation process using a Raman spectroscopy instrument equipped with a robust sapphire ball probe. A method was developed to correct the Raman signal for the attenuation caused by light scattering cell particulate, hence enabling quantification of reaction components and possibly measurement of yeast cell concentrations. Extinction of Raman intensities to more than 50 % during fermentation was normalized with approximated extinction expressions using Raman signal of water around 1,627 cm(-1) as internal standard to correct for the effect of scattering. Complicated standard multi-variant chemometric techniques, such as PLS, were avoided in the quantification model, as an attempt to keep the monitoring method as simple as possible and still get satisfactory estimations. Instead, estimations were made with a two-step approach, where initial scattering correction of attenuated signals was followed by linear regression. In situ quantification measurements of the fermentation resulted in root mean square errors of prediction (RMSEP) of 2.357, 1.611, and 0.633 g/L for glucose, ethanol, and yeast concentrations, respectively.
引用
收藏
页码:4911 / 4919
页数:9
相关论文
共 30 条
[1]   Quantitative Raman reaction monitoring using the solvent as internal standard [J].
Aarnoutse, PJ ;
Westerhuis, JA .
ANALYTICAL CHEMISTRY, 2005, 77 (05) :1228-1236
[2]   Real Time Monitoring of Multiple Parameters in Mammalian Cell Culture Bioreactors Using an In-Line Raman Spectroscopy Probe [J].
Abu-Absi, Nicholas R. ;
Kenty, Brian M. ;
Cuellar, Maryann Ehly ;
Borys, Michael C. ;
Sakhamuri, Sivakesava ;
Strachan, David J. ;
Hausladen, Michael C. ;
Li, Zheng Jian .
BIOTECHNOLOGY AND BIOENGINEERING, 2011, 108 (05) :1215-1221
[3]   METHODS FOR MEASURING AND CORRECTING ABSORPTION SPECTRUM OF SCATTERING SUSPENSIONS [J].
AMESZ, J ;
BRANDT, DC ;
DUYSENS, LNM .
JOURNAL OF THEORETICAL BIOLOGY, 1961, 1 (01) :59-&
[4]   Raman spectroscopy and chemometrics for on-line control of glucose fermentation by Saccharomyces cerevisiae [J].
Avila, Thiago C. ;
Poppi, Ronei J. ;
Lunardi, Ines ;
Tizei, Pedro A. G. ;
Pereira, Goncalo A. G. .
BIOTECHNOLOGY PROGRESS, 2012, 28 (06) :1598-1604
[5]  
Bakeev KA, 2005, PROCESS ANALYTICAL TECHNOLOGY: SPECTROSCOPIC TOOLS AND IMPLEMENTATION STRATEGIES FOR THE CHEMICAL AND PHARMACEUTICAL INDUSTRIES, P424, DOI 10.1002/9780470988459.ch12
[6]   Future aspects of bioprocess monitoring [J].
Becker, Thomas ;
Hitzmann, Bernd ;
Muffler, K. ;
Poertner, Ralf ;
Reardon, Kenneth F. ;
Stahl, Frank ;
Ulber, Roland .
WHITE BIOTECHNOLOGY, 2007, 105 :249-293
[7]   In situ sensor techniques in modern bioprocess monitoring [J].
Beutel, Sascha ;
Henkel, Steffen .
APPLIED MICROBIOLOGY AND BIOTECHNOLOGY, 2011, 91 (06) :1493-1505
[8]   NTR calibration in non-linear systems:: different PLS approaches and artificial neural networks [J].
Blanco, M ;
Coello, J ;
Iturriaga, H ;
Maspoch, S ;
Pagès, J .
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 2000, 50 (01) :75-82
[9]   ABSORPTION SPECTROSCOPY IN VIVO - THEORY AND APPLICATION [J].
BUTLER, WL .
ANNUAL REVIEW OF PLANT PHYSIOLOGY, 1964, 15 :451-&
[10]   Near-infrared spectroscopic monitoring of biomass, glucose, ethanol and protein content in a high cell density baker's yeast fed-batch bioprocess [J].
Finn, B ;
Harvey, LM ;
McNeil, B .
YEAST, 2006, 23 (07) :507-517