Direct optical detection of cell density and viability of mammalian cells by means of UV/VIS spectroscopy

Drieschner, Tobias; Ostertag, Edwin; Boldrini, Barbara; Lorenz, Anita; Brecht, Marc; Rebner, Karsten

doi:10.1007/s00216-019-02322-y

Cited by 15 publications

(15 citation statements)

References 53 publications

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“…Detecting contamination is part of quality controls regularly performed during ATMP production. Another aspect of quality control concerns cell viability which can be optically estimated using statistical methods applied to absorbance spectra measurements in the UV-VIS range [27].…”

Section: Concentration Ranges For Optical Absorption Modelingmentioning

confidence: 99%

“…They related the absorbance to cell concentration and applied their technique to both adherent and non-adherent cells. A wavelength window a bit larger was used in [27]. Authors exploited the absorbance spectrum between 210 nm and 600 nm in order, not only to count cells, but also to estimate their viability.…”

Section: Modeling the Optical Absorption Of T-cellsmentioning

confidence: 99%

“…The latter should be preferred as it is contactless, improves solution homogeneity, hence the OCM accuracy, and decreases the dividing times. In references [24] and [27], optical spectroscopy is performed in the UV-visible range. In our method, the OCM is established between 350 nm and 850 nm, but the main information is contained between 400 nm and 700 nm.…”

Section: Modeling the Optical Absorption Of T-cellsmentioning

confidence: 99%

“…In our method, the OCM is established between 350 nm and 850 nm, but the main information is contained between 400 nm and 700 nm. This makes it possible to use low cost visible LEDs and ultra-compact spectrometers such as proposed by [32,33] instead of working within the UV range [24,27]. In this case, the design of the spectroscopy cuvettes could be inspired by the one already described [34].…”

Section: Modeling the Optical Absorption Of T-cellsmentioning

confidence: 99%

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White light spectroscopy for T-cell culture growth monitoring: towards a real-time and sampling free device for ATMPs production

Vaccari¹,

Wacogne²,

Koubevi³

et al. 2021

J Transl Sci

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Nowadays, Advanced Therapy Medicinal Products (ATMPs) are new generation of pharmaceuticals which offer novel and revolutionary answer to be given to patients at the end of their therapeutic options. However, because of their prohibitive cost, they can only be proposed to a reduced number of patients. One possibility to reduce ATMP' price is to automate their production as much as possible. Among the numerous possibilities, a real-time and closed loop monitoring of the T-cell growth during the expansion phase would be appreciated. In this short paper, we propose a simple white light spectroscopy method which can be easily implemented in such an autonomous device and able to monitor T-cell number evolution with a higher accuracy as compared to current cell counting methods.

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Section: Concentration Ranges For Optical Absorption Modelingmentioning

confidence: 99%

Section: Modeling the Optical Absorption Of T-cellsmentioning

confidence: 99%

Section: Modeling the Optical Absorption Of T-cellsmentioning

confidence: 99%

Section: Modeling the Optical Absorption Of T-cellsmentioning

confidence: 99%

See 2 more Smart Citations

White light spectroscopy for T-cell culture growth monitoring: towards a real-time and sampling free device for ATMPs production

Vaccari¹,

Wacogne²,

Koubevi³

et al. 2021

J Transl Sci

View full text Add to dashboard Cite

show abstract

“…The typical wavelength range includes the light from ultraviolet (UV) to mid-infrared (MIR) spectrum. UV to near infrared (NIR) light (350-1100 nm) is used for culture OD measurement with photometers [18], in-situ [19] or at-line [20,21] instruments. Lack of UV and low wavelength visible spectrum (VIS) light for OD measurement is it cross-sensitivity with other components present in the culture broth [22].…”

Section: Introductionmentioning

confidence: 99%

Application of In-Situ and Soft-Sensors for Estimation of Recombinant P. pastoris GS115 Biomass Concentration: A Case Analysis of HBcAg (Mut+) and HBsAg (MutS) Production Processes under Varying Conditions

Grīgs

Bolmanis

Galvanauskas

2021

Sensors

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Microbial biomass concentration is a key bioprocess parameter, estimated using various labor, operator and process cross-sensitive techniques, analyzed in a broad context and therefore the subject of correct interpretation. In this paper, the authors present the results of P. pastoris cell density estimation based on off-line (optical density, wet/dry cell weight concentration), in-situ (turbidity, permittivity), and soft-sensor (off-gas O2/CO2, alkali consumption) techniques. Cultivations were performed in a 5 L oxygen-enriched stirred tank bioreactor. The experimental plan determined varying aeration rates/levels, glycerol or methanol substrates, residual methanol levels, and temperature. In total, results from 13 up to 150 g (dry cell weight)/L cultivation runs were analyzed. Linear and exponential correlation models were identified for the turbidity sensor signal and dry cell weight concentration (DCW). Evaluated linear correlation between permittivity and DCW in the glycerol consumption phase (<60 g/L) and medium (for Mut+ strain) to significant (for MutS strain) linearity decline for methanol consumption phase. DCW and permittivity-based biomass estimates used for soft-sensor parameters identification. Dataset consisting from 4 Mut+ strain cultivation experiments used for estimation quality (expressed in NRMSE) comparison for turbidity-based (8%), permittivity-based (11%), O2 uptake-based (10%), CO2 production-based (13%), and alkali consumption-based (8%) biomass estimates. Additionally, the authors present a novel solution (algorithm) for uncommon in-situ turbidity and permittivity sensor signal shift (caused by the intensive stirrer rate change and antifoam agent addition) on-line identification and minimization. The sensor signal filtering method leads to about 5-fold and 2-fold minimized biomass estimate drifts for turbidity- and permittivity-based biomass estimates, respectively.

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Inline and Online Process Analytical Technology with a Focus on Optical Spectroscopy

Kessler¹,

Maiwald²,

Kessler³

2022

Encyclopedia of Analytical Chemistry

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Process analytical technology (PAT) is a cross‐sectional technology and thus essential for future smart production. While in the past decades, the focus of process optimization strategies was on increasing efficiency, in the future, the focus will be on the sustainability of a production and its products. In addition, products will be increasingly personalized in order to match the property profile exactly to the intended use. PAT is able to provide context‐sensitive information at the molecular level for process control. Spectroscopic sensors can determine inline and simultaneously both the chemical composition and its sub‐microscopic morphology. The article will focus on the optical spectroscopy and therefore starts with a brief introduction on the basic concepts of molecular spectroscopy. In addition, the particularities of measuring liquids, surfaces, or particulate systems in PAT applications are described. This should enable the reader to select the appropriate method for the specific problem. Many examples from everyday industrial practice illustrate the applications. The areas covered are the manufacturing industry, process and pharmaceutical industry, food industry, as well as biotechnology and medical technology. Future will show that PAT is especially important for applications in the field of medicine (point of care) circular economy (recycling, water–wastewater, etc.). It is important to emphasize that sustainability in industrial production can only be successful with an inter‐ and transdisciplinary close exchange between the different disciplines.

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Direct optical detection of cell density and viability of mammalian cells by means of UV/VIS spectroscopy

Cited by 15 publications

References 53 publications

White light spectroscopy for T-cell culture growth monitoring: towards a real-time and sampling free device for ATMPs production

White light spectroscopy for T-cell culture growth monitoring: towards a real-time and sampling free device for ATMPs production

Application of In-Situ and Soft-Sensors for Estimation of Recombinant P. pastoris GS115 Biomass Concentration: A Case Analysis of HBcAg (Mut+) and HBsAg (MutS) Production Processes under Varying Conditions

Inline and Online Process Analytical Technology with a Focus on Optical Spectroscopy

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