Prediction of the concentrations of ethanol and acetic acid in the culture broth of a rice vinegar fermentation using near-infrared spectroscopy

Yano, Takuo; Aimi, Tadanori; Nakano, Yasuhisa; Tamai, Masamitsu

doi:10.1016/s0922-338x(97)82008-9

Cited by 75 publications

(42 citation statements)

References 5 publications

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“…Rhiel et al (2002a) generated calibration models able to monitor glucose, lactate, glutamine, and ammonia with SEPs of 0.82, 0.94, 0.55, and 0.76 mM, respectively (Rhiel et al, 2002a). Similar results were obtained by Zhou et al (1995), Chung et al (1996), Riley et al (1997Riley et al ( , 1998aRiley et al ( , 1998b, McShane and Coté (1998), and Lewis et al (2000) for cell cultures, and Cavinato et al (1990), Ge et al (1994), Hall et al (1996), and Yano et al (1998) for fermentations. Thus, a sensor system based on NIR spectroscopy seems to be suitable for RWV monitoring.…”

Section: Introductionsupporting

confidence: 79%

On‐line monitoring of human prostate cancer cells in a perfusion rotating wall vessel by near‐infrared spectroscopy

Rhiel

Cohen

Arnold

et al. 2004

Biotech & Bioengineering

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PC-3 human prostate cancer cells have been cultivated in a rotating wall vessel in which glucose, lactate, and glutamine profiles were monitored noninvasively and in real time by near-infrared (NIR) spectroscopy. The calibration models were based on off-line spectra from tissue culture experiments described previously (Rhiel et al., Biotechnol Bioeng 77:73-82). Monitoring performance was improved by Fourier filtering of the spectra and initial off-set adjustment. The resulting standard errors of predictions were 0.95, 0.74, and 0.39 mM for glucose, lactate, and glutamine, respectively. The concentration of ammonia could not be accurately measured from the same spectra. In addition, metabolite uptake and production rates were determined for PC-3 prostate cancer cells during exponential growth in batch-mode cultivation. Cells grew with a doubling time of 21 h and consumed glucose and glutamine at rates of 6.8 and 1.8 x 10(-17) mol/cell.s, respectively. This resulted in lactate and ammonia production rates of 11.9 and 1.3 x 10(-17) mol/cell.s, respectively. Compared with other monitoring technologies, this technology has many advantages for spaceflights and stand-alone units; for instance, calibration can be performed at one time and then applied in a reagentless, low-maintenance way at a later time. The resulting concentration information can be incorporated into closed-loop control schemes, thereby leading to better in vitro models of in vivo behavior.

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Section: Introductionsupporting

confidence: 79%

On‐line monitoring of human prostate cancer cells in a perfusion rotating wall vessel by near‐infrared spectroscopy

Rhiel

Cohen

Arnold

et al. 2004

Biotech & Bioengineering

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“…Fortunately, due to modern developments in this field, a wide selection of methods are available [9,10], such as flow injection analysis [11], near infrared spectroscopy [12,13], mid-infrared spectroscopy [14][15][16], HPLC [6], inexpensive gas sensors [8], biosensors [17,7,18,19] and mass spectrometry [20].…”

Section: Introductionmentioning

confidence: 99%

Control of yeast fed-batch process through regulation of extracellular ethanol concentration

Cannizzaro

Valentinotti

Stockar

2004

Bioprocess Biosyst Eng

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At high growth rates, the biomass yield of baker's yeast (Saccharomyces cerevisiae) decreases due to the production of ethanol. For this reason, it is standard industrial practice to use a fed-batch process whereby the specific growth rate, mu, is fixed at a level below the point of ethanol production, i.e., mucrit. Optimally, growth should be maintained at mucrit, but in practice, this is difficult because mucrit is dependent upon strain and culture conditions. In this work, growth was maintained at a point just above mucrit by regulating ethanol concentration in the bioreactor. The models used for control design are shown, as are the experimental results obtained when this strategy was implemented. This technique should be applicable to all microorganisms that exhibit an "overflow" type metabolism.

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“…The analytical utility of NIR spectroscopy is established for measuring millimolar levels of various biological species in simulated matrices Burmeister et al, 1998;Burmeister and Arnold, 1999) and natural matrices from clinical chemistry (Hazen et al, 1998), fermentation (Cavinato et al, 1990;Ge et al, 1994;Hall et al, 1996;Yano et al, 1998), and cell culture Lewis et al, 2000;McShane and CoteÂ , 1998;Riley et al, 1997Riley et al, , 1998aRiley et al, , 1998bZhou et al, 1995) systems. The chemical information originates from overtone and combination transitions associated with fundamental C±H, O±H, and N±H vibrations.…”

Section: Introductionmentioning

confidence: 99%

Nondestructive near‐infrared spectroscopic measurement of multiple analytes in undiluted samples of serum‐based cell culture media

Rhiel

Cohen

Murhammer

et al. 2001

Biotech & Bioengineering

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An adaptive calibration procedure is used to build selective multivariate calibration models for the measurement of glucose, lactate, glutamine, and ammonia in undiluted serum-based cell culture media. This adaptive procedure removes metabolism-induced covariance between these analytes in a series of calibration samples collected during the cultivation of PC-3 human prostate cancer cells. Partial least-squares calibration models are generated from single-beam near-infrared (NIR) spectra collected over the 4800-to 4200-cm )1 combination spectral range. Calibration models were generated with both the full spectral range and optimized spectral ranges. In both cases, the number of model factors was optimized and model validity was determined by comparing analyte concentrations predicted from a series of independent and unaltered samples that were obtained during a subsequent cultivation of the PC-3 cells. Similar analytical performance was achieved with fewer model factors when the optimized spectral range was used. The lowest standard errors of prediction were 0.82, 0.94, 0.55, and 0.76 mM for glucose, lactate, glutamine, and ammonia, respectively. Different spectral ranges were optimal for each analyte and the optimized spectral range coincided with the distinguishing spectral features of the analyte. The results of this study demonstrate that NIR spectroscopy can be used effectively in the off-line measurement of important nutrients (glucose and glutamine) and byproducts (lactate and ammonia) in a serum-based animal cell culture medium.

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Prediction of the concentrations of ethanol and acetic acid in the culture broth of a rice vinegar fermentation using near-infrared spectroscopy

Cited by 75 publications

References 5 publications

On‐line monitoring of human prostate cancer cells in a perfusion rotating wall vessel by near‐infrared spectroscopy

On‐line monitoring of human prostate cancer cells in a perfusion rotating wall vessel by near‐infrared spectroscopy

Control of yeast fed-batch process through regulation of extracellular ethanol concentration

Nondestructive near‐infrared spectroscopic measurement of multiple analytes in undiluted samples of serum‐based cell culture media

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