Simultaneous Measurements of Glucose, Glutamine, Ammonia, Lactate, and Glutamate in Aqueous Solutions by Near-Infrared Spectroscopy

Chung, Hoeil; Arnold, Mark A.; Rhiel, Martin; Murhammer, David W.

doi:10.1366/0003702963906447

Cited by 118 publications

(76 citation statements)

References 6 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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“…In particular, Zhou et al 17 used between 7 and 12 factors to model samples of glutamine and asparagine dissolved in buffer. Chung et al 14 employed as many as 12 factors to model components in samples containing 6 varying components. Most likely the large number of factors incorporate variations in baseline shifts, temperature effects, and alignment variations, particularly for samples that contain low analyte concentrations.…”

Section: Resultsmentioning

confidence: 99%

Matrix-Enhanced Calibration Procedure for Multivariate Calibration Models with Near-Infrared Spectra

1998

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A novel method is introduced for developing calibration models for the spectroscopic measurement of chemical concentrations in an aqueous environment. To demonstrate this matrix-enhanced calibration procedure, we developed calibration models to quantitate glucose and glutamine concentrations in an insect cell culture medium that is a complex mixture of more than 20 components, with three components that manifest significant concentration changes. Accurate calibration models were generated for glucose and glutamine by using a calibration data set composed of 60 samples containing the analytes dissolved in an aqueous buffer along with as few as two samples of the analytes dissolved in culture medium. Standard errors of prediction were 1.0 mM for glucose and 0.35 mM for glutamine. The matrix-enhanced method was also applied to culture medium samples collected during the course of a second bioreactor run. Addition of three culture medium samples to a buffer calibration reduced glucose prediction errors from 3.8 mM to 1.0 mM; addition of two culture medium samples reduced glutamine prediction errors from 1.6 mM to 0.76 mM. Results from this study suggest that spectroscopic calibration models can be developed from a relatively simple set of samples provided that some account for variations in the sample matrix.

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“…Examples include the 4567 cm )1 band for glutamine and the 4345 cm )1 band for lactate. Despite the high degree of overlap, previous work has demonstrated the effectiveness of multivariate analysis techniques for selectively extracting analyte speci®c information from these types of spectra (Chung et al, 1996;Hazen et al, 1998;McShane and CoteÂ , 1998;Riley et al, 1998b).…”

Section: Nir Spectramentioning

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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Simultaneous Measurements of Glucose, Glutamine, Ammonia, Lactate, and Glutamate in Aqueous Solutions by Near-Infrared Spectroscopy

Cited by 118 publications

References 6 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

Matrix-Enhanced Calibration Procedure for Multivariate Calibration Models with Near-Infrared Spectra

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

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