Simple and rapid determination of metabolite content in plant cell culture medium using an FT-IR/ATR method

Hashimoto, Atsushi; Yamanaka, Atsushi; Kanou, Mikihito; Nakanishi, Kenichi; Kameoka, Takaharu

doi:10.1007/s00449-004-0388-7

Cited by 19 publications

(26 citation statements)

References 28 publications

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“…The sugars and ethanol contents in the culture medium were determined by the FT-IR/ATR method as described previously [14,17,19]. For analysis by midinfrared spectroscopy, an FT-IR spectrometer (Nicolet, Magna 750) was equipped with a KBr beam splitter and a deuterated triglycine sulfate KBr detector was used to obtain the spectra.…”

Section: Discussionmentioning

confidence: 99%

“…We applied the MIR spectroscopic method developed by Hashimoto et al [14,17] to the metabolite content determination. The outline for this method was shown below.…”

Section: Atr Spectral Analysis Of Culture Mediummentioning

confidence: 99%

“…The slope, a, of the straight line relates to the kind of metabolite, and the value of b theoretically shows the absorbance of the medium without metabolite. All correlation coefficients were greater than 0.92 [17]. Hence, each metabolic concentration is calculated by the following matrix equation: …”

Section: Atr Spectral Analysis Of Culture Mediummentioning

confidence: 99%

“…Thus, the sugar metabolism in plant cells relates not only to the sugar uptake phenomena, but also to the ethanol production. Therefore, Hashimoto et al [17] attempted to measure the nutrient and product contents in the culture medium using the FT-IR/ATR method, simultaneously. As a result, evaluation of the sugar contents using the FT-IR/ ATR method under the assumption of ethanol existence was superior in quantitative analysis to that under assumption of no ethanol in the culture media of not only rice cells (high ethanol content), but also TBY-2 cells (low ethanol content).…”

Section: Introductionmentioning

confidence: 99%

“…As a result, evaluation of the sugar contents using the FT-IR/ ATR method under the assumption of ethanol existence was superior in quantitative analysis to that under assumption of no ethanol in the culture media of not only rice cells (high ethanol content), but also TBY-2 cells (low ethanol content). In this study, we determined the metabolite contents in the MS and the R2S mediums using the FT-IR/ATR method under an assumption of ethanol existence on the basis of the studies developed by Hashimoto et al [17].…”

Section: Introductionmentioning

confidence: 99%

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MIR spectroscopic analysis on sugar metabolic and ethanol productive kinetics of suspension TBY-2 and rice cells pre-cultured in various media

Yamanaka

Hashimoto

Kanou

et al. 2005

Bioprocess Biosyst Eng

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The influence of sugars in pre-cultivation media suspended plant cells on the kinetics of the sugar uptake and the ethanol production was studied by mid-infrared spectroscopy using a Fourier transform infrared spectrometer (FT-IR) equipped with an attenuate total reflection accessory (ATR). We performed the plant cell cultivation with Nicotiana tabacum cv. Bright Yellow No.2 (TBY-2) cells and Oryza sativa L., Japonica, cv. Nipponbare (rice) cells, respectively, in pre-culture and culture media, which had various types of glucose, fructose, sucrose or glucose-fructose mixtures. The results confirmed the kinetic differences between the TBY-2 cells and rice cells. These results suggested that the TBY-2 cells consumed sugar before growth and the rice cells consumed sugar after growth, moreover, the ethanol content increased just after cell growth was activated based on the non-dimensional cultivation time for the cell growth behavior.

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Section: Discussionmentioning

confidence: 99%

“…We applied the MIR spectroscopic method developed by Hashimoto et al [14,17] to the metabolite content determination. The outline for this method was shown below.…”

Section: Atr Spectral Analysis Of Culture Mediummentioning

confidence: 99%

Section: Atr Spectral Analysis Of Culture Mediummentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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MIR spectroscopic analysis on sugar metabolic and ethanol productive kinetics of suspension TBY-2 and rice cells pre-cultured in various media

Yamanaka

Hashimoto

Kanou

et al. 2005

Bioprocess Biosyst Eng

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Rapid characterization and quality control of complex cell culture media solutions using raman spectroscopy and chemometrics

Ryan

Ray

et al. 2010

Biotech & Bioengineering

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. (2010) 'Rapid characterization and quality control of complex cell culture media solutions using Raman spectroscopy and chemometrics'. Biotechnology And Bioengineering, 107 (2):290-301. Sirimuthu, and A.G. Ryder. Biotechnology and Bioengineering, 107(2), 290-301, (2010). DOI: 10.1002/bit.22813 . 1 R A P I D C H A R A C T E R I S A T I O N A N D Q U A L I T Y C O N T R O L O F C O M P L E X C E L L C U L T U R E M E D I A S O L U T I O N S U S I N G R A M A N S P E C T R O S C O P Y A N D C H E M O M E T R I C S . Abstract:The use of Raman spectroscopy coupled with chemometrics for the rapid identification, characterisation, and quality assessment of complex cell culture media components used for industrial mammalian cell culture was investigated. Raman spectroscopy offers significant advantages for the analysis of complex, aqueous based materials used in biotechnology because there is no need for sample preparation and water is a weak Raman scatterer. We demonstrate the efficacy of the method for the routine analysis of dilute aqueous solution of five different chemically defined, commercial media components used in a Chinese Hamster Ovary (CHO) cell manufacturing process for recombinant proteins.The chemometric processing of the Raman spectral data is the key factor in developing robust methods. Here we discuss the optimum methods for eliminating baseline drift, background fluctuations and other instrumentation artefacts to generate reproducible spectral data. Principal component analysis (PCA) and soft independent modelling of class analogy (SIMCA) were then employed in the development of a robust routine for both identification and quality evaluation of the five different media components. These methods have the potential to be extremely useful in an industrial context for "in house" sample handling, tracking and quality control.

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Characterization of mammalian cell culture raw materials by combining spectroscopy and chemometrics

Trunfio

Lee

Starkey

et al. 2017

Biotechnology Progress

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Two of the primary issues with characterizing the variability of raw materials used in mammalian cell culture, such as wheat hydrolysate, is that the analyses of these materials can be time consuming, and the results of the analyses are not straightforward to interpret. To solve these issues, spectroscopy can be combined with chemometrics to provide a quick, robust and easy to understand methodology for the characterization of raw materials; which will improve cell culture performance by providing an assessment of the impact that a given raw material will have on final product quality. In this study, four spectroscopic technologies: near infrared spectroscopy, middle infrared spectroscopy, Raman spectroscopy, and fluorescence spectroscopy were used in conjunction with principal component analysis to characterize the variability of wheat hydrolysates, and to provide evidence that the classification of good and bad lots of raw material is possible. Then, the same spectroscopic platforms are combined with partial least squares regressions to quantitatively predict two cell culture critical quality attributes (CQA): integrated viable cell density and IgG titer. The results showed that near infrared (NIR) spectroscopy and fluorescence spectroscopy are capable of characterizing the wheat hydrolysate's chemical structure, with NIR performing slightly better; and that they can be used to estimate the raw materials’ impact on the CQAs. These results were justified by demonstrating that of all the components present in the wheat hydrolysates, six amino acids: arginine, glycine, phenylalanine, tyrosine, isoleucine and threonine; and five trace elements: copper, phosphorus, molybdenum, arsenic and aluminum, had a large, statistically significant effect on the CQAs, and that NIR and fluorescence spectroscopy performed the best for characterizing the important amino acids. It was also found that the trace elements of interest were not characterized well by any of the spectral technologies used; however, the trace elements were also shown to have a less significant effect on the CQAs than the amino acids. © 2017 The Authors Biotechnology Progress published by Wiley Periodicals, Inc. on behalf of American Institute of Chemical Engineers, 33:1127–1138, 2017

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Simple and rapid determination of metabolite content in plant cell culture medium using an FT-IR/ATR method

Cited by 19 publications

References 28 publications

MIR spectroscopic analysis on sugar metabolic and ethanol productive kinetics of suspension TBY-2 and rice cells pre-cultured in various media

MIR spectroscopic analysis on sugar metabolic and ethanol productive kinetics of suspension TBY-2 and rice cells pre-cultured in various media

Rapid characterization and quality control of complex cell culture media solutions using raman spectroscopy and chemometrics

Characterization of mammalian cell culture raw materials by combining spectroscopy and chemometrics

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