Assay of solid–substrate fermentation by means of reflectance infrared analysis

Silman, Robert W.; Black, L. M.; Norris, K. H.

doi:10.1002/bit.260250224

Cited by 12 publications

(1 citation statement)

References 2 publications

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“…Over the past decade, there has been an increasing interest in using both near‐infrared (Brimmer and Hall, 1993; Cavinato et al, 1990; Chung and Arnold, 1995; Chung et al, 1995, 1996; Hall et al, 1996; He et al, 1993; Kasprow et al, 1998; Macaloney et al, 1994, 1995; Nishinari et al, 1989; Silman et al, 1983; Vaccari et al, 1994) and mid‐infrared (Alberti et al, 1985; Bellon‐Mauriel et al, 1995; Fairbrother et al, 1989; Fayolle et al, 1996; Hopkinson et al, 1987; Hutson et al, 1988; Kuehl and Crocombe, 1984; Sowa and Towill, 1990; Tseng et al, 1996; White et al, 1985; Wong et al, 1984) spectroscopy to monitor biological processes. While a number of diverse process systems have been investigated, most of the results reported to date have been on the off‐line application of this technology.…”

Section: Introductionmentioning

confidence: 99%

In Situ Monitoring of an Escherichia coli Fermentation Using a Diamond Composition ATR Probe and Mid-infrared Spectroscopy

Doak

Phillips

1999

Biotechnol. Prog.

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A diamond composition ATR probe was used in situ to obtain IR spectra on replicate Escherichia coli fermentations involving a complex medium. The probe showed excellent stability over a 6-month operating period and was unaffected by either agitation or aeration. The formation of an unknown was observed from IR spectra obtained during the sterilization; subsequent experiments proved this to be a reaction product between yeast extract and the phosphates used as buffer salts. Partial-least-squares-based calibration/prediction models were developed for both glucose and acetate using in-process samples. The resulting models had prediction errors of +/-0.26 and +/-0.75 g/L for glucose and acetic acid, respectively, errors which were statistically equivalent to the estimated experimental errors in the reference measurements. Relative concentration profiles for the unknown formed during sterilization could be generated either by tracking peak height at an independent wavelength or by self-modeling curve resolution of the spectral region overlapping that of glucose. These profiles indicated that this compound was metabolized simultaneously with glucose; upon depletion of the glucose, when the microorganism switched to consumption of acetic acid, utilization continued but at a lower rate. The data presented provide an extensive characterization of the performance characteristics of this in situ analysis and clearly demonstrate its utility not just in the quantitative measurement of multiple known species but in the qualitative evaluation of unknown species.

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Section: Introductionmentioning

confidence: 99%

In Situ Monitoring of an Escherichia coli Fermentation Using a Diamond Composition ATR Probe and Mid-infrared Spectroscopy

Doak

Phillips

1999

Biotechnol. Prog.

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Monitoring Mammalian Cell Cultivations for Monoclonal Antibody Production Using Near-Infrared Spectroscopy

Henriques

Buziol²,

Stocker³

et al. 2009

Optical Sensor Systems in Biotechnology

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Near-infrared (NIR) spectroscopy as a process monitoring and process supervision technique is reviewed in the context of biomanufacturing.An industrial pilot-plant mammalian cell cultivation process has been chosen to illustrate the use of on-line in-situ NIR monitoring by means of an immersion transflectance NIR probe.NIR calibration development must be performed carefully and should incorporate a number of steps to obtain a properly validated model which exhibits long-term robustness and is independent of process scale. A description of such good modelling practises is given. In general, NIR can be as accurate as the reference methods employed and at least as precise provided that sufficient spectral selectivity and sensitivity exists.NIR can also be used as a direct technique for very fast process monitoring and process supervision, thus enabling one to follow the trajectory of a process. This alternative to the indirect use of NIR through laborious calibration development with direct reference methods has been little explored. Since NIR is sensitive to both chemical and physical properties, the analysis of whole samples enables relevant process information to be captured and thus generates better process state estimates than by simply looking at defined process parameters one at a time.

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Near-Infrared Spectroscopy in the Pharmaceutical Industry

Igne

Ciurczak²

2020

Near-Infrared Spectroscopy

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Assay of solid–substrate fermentation by means of reflectance infrared analysis

Cited by 12 publications

References 2 publications

In Situ Monitoring of an Escherichia coli Fermentation Using a Diamond Composition ATR Probe and Mid-infrared Spectroscopy

In Situ Monitoring of an Escherichia coli Fermentation Using a Diamond Composition ATR Probe and Mid-infrared Spectroscopy

Monitoring Mammalian Cell Cultivations for Monoclonal Antibody Production Using Near-Infrared Spectroscopy

Near-Infrared Spectroscopy in the Pharmaceutical Industry

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