Estimating Biomass and Vitality of Microalgae for Monitoring Cultures: A Roadmap for Reliable Measurements

Schagerl, Michael; Siedler, Rainer; Konopáčová, Eliška; Ali, Sameh S.

doi:10.3390/cells11152455

Cited by 30 publications

(15 citation statements)

References 77 publications

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“…A few peaks were observed in the range of 200-2500 nm; however, the most significant peak observed was in the range of 940-980 nm (Figure 1). microalgal biomass, but this method is time-consuming and requires a large quantity of sample [16,23]. The measurement using a hemocytometer, on the other hand, requires an expert to manually count the cells in the hemocytometer using a microscope [24].…”

Section: Resultsmentioning

confidence: 99%

“…However, to fully exploit the advantages of microalgae, further research is encouraged to focus on the optimization of microalgae biomass. The common methods used to determine microalgal biomass include measuring the dry mass of the culture [ 16 ], counting the cells using a hemocytometer [ 17 , 18 , 19 ], and measuring the optical density of the culture at 680 nm [ 20 , 21 , 22 ]. Dry mass measurement provides accurate determination of microalgal biomass, but this method is time-consuming and requires a large quantity of sample [ 16 , 23 ].…”

Section: Introductionmentioning

confidence: 99%

“…The common methods used to determine microalgal biomass include measuring the dry mass of the culture [ 16 ], counting the cells using a hemocytometer [ 17 , 18 , 19 ], and measuring the optical density of the culture at 680 nm [ 20 , 21 , 22 ]. Dry mass measurement provides accurate determination of microalgal biomass, but this method is time-consuming and requires a large quantity of sample [ 16 , 23 ]. The measurement using a hemocytometer, on the other hand, requires an expert to manually count the cells in the hemocytometer using a microscope [ 24 ].…”

Section: Introductionmentioning

confidence: 99%

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Quantifying Microalgae Growth by the Optical Detection of Glucose in the NIR Waveband

et al. 2023

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Microalgae have become a popular area of research over the past few decades due to their enormous benefits to various sectors, such as pharmaceuticals, biofuels, and food and feed. Nevertheless, the benefits of microalgae cannot be fully exploited without the optimization of their upstream production. The growth of microalgae is commonly measured based on the optical density of the sample. However, the presence of debris in the culture and the optical absorption of the intercellular components affect the accuracy of this measurement. As a solution, this paper introduces the direct optical detection of glucose molecules at 940–960 nm to accurately measure the growth of microalgae. In addition, this paper also discusses the effects of the presence of glucose on the absorption of free water molecules in the culture. The potential of the optical detection of glucose as a complement to the commonly used optical density measurement at 680 nm is discussed in this paper. Lastly, a few recommendations for future works are presented to further verify the credibility of glucose detection for the accurate determination of microalgae’s growth.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Quantifying Microalgae Growth by the Optical Detection of Glucose in the NIR Waveband

et al. 2023

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“…This was based on the correlation between chlorophyll and cell growth, which has been widely used in the past for green microalgae [ 18 , 19 ]. Multiple methods have been proposed in the existing literature for correlating microalgae growth with absorbance and optical density, but the accuracy of spectrophotometric methods is often insufficient, which is why biomass productivity was used as the main indicator of the effect of ultrasound on cell growth; while, the spectrophotometric curves were mainly useful to highlight whether the exposure to an ultrasound led to a delay in metabolic activity [ 20 ]. The growth curves created based on analyzed data are presented in Figure 2 and Figure 3 , for 1 and 10 W, respectively.…”

Section: Resultsmentioning

confidence: 99%

The Influence of Ultrasound on the Growth of Nannochloris sp. in Modified Growth Medium

Vintilă

Vînătoru

Galan

et al. 2023

Life

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The influence of ultrasound irradiation on the algal biomass productivity as well as its oil content and fatty acids profile, grown in a modified Zarrouk medium, i.e., deproteinized whey waste solution, was investigated. The algal samples (Nannochloris sp. 424-1 microalgae) were grown for 7 days in a thermostated incubator at 28 °C, shaken under continuous light. During this period, the algal biomass was subjected to induced stress by ultrasonic irradiation at different powers and sonication time. The obtained results demonstrate that ultrasound stressing of algae biomass has a positive effect on both the quantity of biomass and the oil obtained, also causing a shift in fatty acid composition by increasing the proportion of C16 and C18 polyunsaturated fatty acids. A low dosage level of exposure to the ultrasound led to algal biomass increase as well as lipid accumulation. For both types of irradiation modes which were investigated, daily and only initial irradiation, the beneficial effect of the ultrasound decreases as the exposure time increases and the excessive sonication becomes detrimental to microalgae growth.

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“…Among such methods, turbidity measurement is the simplest and most practical method since this technique is used to detect the OD of the broth culture using a spectrophotometer. Furthermore, the turbidimetric method allows for rapid and inexpensive data generation, where such a method could be extensively employed by predictive microbiology modellers (Schagerl et al, 2022).…”

Section: Resultsmentioning

confidence: 99%

Application of Predictive Microbiology in Monitoring S. aureus Growth in Raw Chicken Meat

Ahmed¹,

Kassem²,

Rodríguez³

et al. 2022

AAVS

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The frequent outbreaks of foodborne illness owing to Staphylococcus aureus require to deepen into the pathogen's response to different food environments and conditions. This study was conducted to quantify the growth behavior of S. aureus in Tryptone Soya Broth (TSB) using turbidity and plate count methods as well as monitoring and modelling its potential growth in chicken breast and thigh meats at room temperature (25 °C) and refrigeration temperature (4 °C). The calibration curve showed a linear relationship between the turbidity measurement and bacterial cell count in TSB. Moreover, the coefficient of determination index (R 2 ) was 0.8789 which indicates that the linear function was acceptable for reflecting the relationship between them. The growth kinetics of S. aureus obtained from Baranyi model indicated that the maximum growth rate was non-significantly different between turbidity and plate count methods and the primary models fit well (R 2 ; 0.83 vs 0.93) in the two methods, respectively that indicating a good model fitting to our experimental data. The potential growth of S. aureus in raw chicken breast and thigh meats at room and refrigeration temperatures showed that regardless of meats type, S. aureus counts were significantly higher at room temperature than their counts at the refrigeration temperature. In conclusion, predictive food microbiology could be a valuable tool for understanding the growth behavior of S. aureus in artificially inoculated TSB broth and chicken meat.

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Estimating Biomass and Vitality of Microalgae for Monitoring Cultures: A Roadmap for Reliable Measurements

Cited by 30 publications

References 77 publications

Quantifying Microalgae Growth by the Optical Detection of Glucose in the NIR Waveband

Quantifying Microalgae Growth by the Optical Detection of Glucose in the NIR Waveband

The Influence of Ultrasound on the Growth of Nannochloris sp. in Modified Growth Medium

Application of Predictive Microbiology in Monitoring S. aureus Growth in Raw Chicken Meat

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