Physical and Aggregate Properties

Thomas, Marie-Florence; Azéma, Nathalie; Thomas, Olivier

doi:10.1016/b978-0-444-63897-7.00006-8

Cited by 4 publications

(1 citation statement)

References 33 publications

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“…Optical density can be associated with cell concentration for measuring cells, however, the relationship between optical density and cell concentration is weakened by the complex interaction between light and suspended matter [7] , which depends on the wavelength of the light source, cell concentration, cell size distribution, etc. The optical density method has been applied to mineral suspensions for several decades, but more recently to microbiology [8] . Many scholars have selected the optimal wavelength according to the optical response of microorganisms such as bacteria, fungi, and microalgae to improve the accuracy of the OD measurement method for microbial solutions.…”

Section: Introductionmentioning

confidence: 99%

Robust determination of adherent and suspended cancer cell concentration using optical density

Chen

Yu²,

Shi³

et al. 2023

International Conference on Optoelectronic Materials and Devices (ICOMD 2022)

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Optical density is commonly used as a simple and rapid indirect measurement method to estimate biomass concentration in liquid cultures. However, the object of optical density detection is often algae cells, colonies, and other microorganisms， few studies adopt optical density to quantitatively measure the concentration of cancer cells. In this paper, different liquid media and cancer cells were used to implement a full-wavelength spectral analysis by microplate reader to find the corresponding robust wavelength. According to the experimental results, we suggest measuring cell concentration at nearinfrared wavelengths, such as 850 nm, to facilitate the subsequent unification of protocols applicable to different cell types and culture conditions. Meanwhile, a portable flow cell sensor based on optical density is demonstrated. The calibration curves under various experimental conditions have high regression coefficient R 2 values, all greater than 0.99, which are expected to be used for online real-time measurement of cell concentration in biological reaction processes. This study provides the feasibility of using the optical density method as a quick and easy way for indirect quantitative measurement of cancer cell concentration.

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Section: Introductionmentioning

confidence: 99%

Robust determination of adherent and suspended cancer cell concentration using optical density

Chen

Yu²,

Shi³

et al. 2023

International Conference on Optoelectronic Materials and Devices (ICOMD 2022)

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High frequency un-mixing of soil samples using a submerged spectrophotometer in a laboratory setting—implications for sediment fingerprinting

et al. 2021

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Purpose This study tests the feasibility of using a submersible spectrophotometer as a novel method to trace and apportion suspended sediment sources in situ and at high temporal frequency. Methods Laboratory experiments were designed to identify how absorbance at different wavelengths can be used to un-mix artificial mixtures of soil samples (i.e. sediment sources). The experiment consists of a tank containing 40 L of water, to which the soil samples and soil mixtures of known proportions were added in suspension. Absorbance measurements made using the submersible spectrophotometer were used to elucidate: (i) the effects of concentrations on absorbance, (ii) the relationship between absorbance and particle size and (iii) the linear additivity of absorbance as a prerequisite for un-mixing. Results The observed relationships between soil sample concentrations and absorbance in the ultraviolet visible (UV–VIS) wavelength range (200–730 nm) indicated that differences in absorbance patterns are caused by soil-specific properties and particle size. Absorbance was found to be linearly additive and could be used to predict the known soil sample proportions in mixtures using the MixSIAR Bayesian tracer mixing model. Model results indicate that dominant contributions to mixtures containing two and three soil samples could be predicted well, whilst accuracy for four-soil sample mixtures was lower (with respective mean absolute errors of 15.4%, 12.9% and 17.0%). Conclusion The results demonstrate the potential for using in situ submersible spectrophotometer sensors to trace suspended sediment sources at high temporal frequency.

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High-frequency spatial sediment source fingerprinting using in situ absorbance data

Lake,

Martínez-Carreras,

Shaw

et al. 2024

Journal of Hydrology

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Physical and Aggregate Properties

Cited by 4 publications

References 33 publications

Robust determination of adherent and suspended cancer cell concentration using optical density

Robust determination of adherent and suspended cancer cell concentration using optical density

High frequency un-mixing of soil samples using a submerged spectrophotometer in a laboratory setting—implications for sediment fingerprinting

High-frequency spatial sediment source fingerprinting using in situ absorbance data

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