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The microbial conversion of organic matter into biofuels holds potential as a renewable energy source. Among biofuel sources, microalgae are recognized as a highly efficient and adaptable feedstock for biodiesel production, owing to their rapid biomass accumulation, elevated lipid productivity, and capacity to proliferate in diverse aquatic systems, including freshwater, marine, and wastewater habitats. Unlike terrestrial crops, microalgae do not compete for land and can achieve significantly...

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High-throughput Screening of Recalcitrance Variations in Lignocellulosic Biomass: Total Lignin, Lignin Monomers, and Enzymatic Sugar Release

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Evaluation of biomass

A Singh¹, R C Kuhad, V Sahai

¹Department of Biochemical Engineering & Biotechnology, Indian Institute of Technology, Hauz Khas, New Delhi.

Advances in Biochemical Engineering/Biotechnology

|January 1, 1994

Summary

This summary is machine-generated.

Accurately measuring biomass concentration is crucial for bioprocesses. This study reviews methods for biomass estimation, highlighting practical considerations for biotechnological applications.

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Area of Science:

Biotechnology
Microbiology
Bioprocess Engineering

Background:

Biomass concentration is a critical parameter in microbial and bioprocesses, directly influencing catalytic activity.
Accurate biomass evaluation is essential for process monitoring and control.
Traditional methods for biomass estimation can be laborious, impractical, or yield inaccurate results.

Purpose of the Study:

To provide a comprehensive overview of biomass concentration evaluation methods.
To discuss the practical importance, utility, and limitations of various biomass estimation techniques.
To highlight recent advancements in monitoring biomass for biotechnological process control.

Main Methods:

Review of established direct and indirect methods for biomass estimation.
Analysis of physical and biochemical techniques for microbial enumeration and biomass determination.
Consideration of recent developments in real-time biomass monitoring.

Main Results:

Classical methods, while numerous, present challenges in terms of labor, practicality, and accuracy.
A variety of techniques exist, each with specific advantages and disadvantages for different bioprocesses.
Recent developments offer improved capabilities for monitoring biomass concentration.

Conclusions:

Effective biomass concentration assessment is vital for optimizing bioprocess efficiency and outcomes.
Selection of an appropriate biomass estimation method depends on specific application needs and constraints.
Continuous monitoring and advanced techniques are key for enhanced biotechnological process control.