Chapter title |
Microbiology and Molecular Biology Tools for Biogas Process Analysis, Diagnosis and Control.
|
---|---|
Chapter number | 1 |
Book title |
Biogas Science and Technology
|
Published in |
Advances in biochemical engineering biotechnology, January 2015
|
DOI | 10.1007/978-3-319-21993-6_1 |
Pubmed ID | |
Book ISBNs |
978-3-31-921992-9, 978-3-31-921993-6
|
Authors |
Lebuhn, Michael, Weiß, Stefan, Munk, Bernhard, Guebitz, Georg M, Michael Lebuhn, Stefan Weiß, Bernhard Munk, Georg M. Guebitz, Guebitz, Georg M. |
Abstract |
Many biotechnological processes such as biogas production or defined biotransformations are carried out by microorganisms or tightly cooperating microbial communities. Process breakdown is the maximum credible accident for the operator. Any time savings that can be provided by suitable early-warning systems and allow for specific countermeasures are of great value. Process disturbance, frequently due to nutritional shortcomings, malfunction or operational deficits, is evidenced conventionally by process chemistry parameters. However, knowledge on systems microbiology and its function has essentially increased in the last two decades, and molecular biology tools, most of which are directed against nucleic acids, have been developed to analyze and diagnose the process. Some of these systems have been shown to indicate changes of the process status considerably earlier than the conventionally applied process chemistry parameters. This is reasonable because the triggering catalyst is determined, activity changes of the microbes that perform the reaction. These molecular biology tools have thus the potential to add to and improve the established process diagnosis system. This chapter is dealing with the actual state of the art of biogas process analysis in practice, and introduces molecular biology tools that have been shown to be of particular value in complementing the current systems of process monitoring and diagnosis, with emphasis on nucleic acid targeted molecular biology systems. |
X Demographics
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Unknown | 1 | 100% |
Demographic breakdown
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 48 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 10 | 21% |
Student > Ph. D. Student | 6 | 13% |
Student > Master | 4 | 8% |
Other | 3 | 6% |
Student > Postgraduate | 2 | 4% |
Other | 7 | 15% |
Unknown | 16 | 33% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 7 | 15% |
Agricultural and Biological Sciences | 7 | 15% |
Engineering | 4 | 8% |
Environmental Science | 4 | 8% |
Unspecified | 2 | 4% |
Other | 7 | 15% |
Unknown | 17 | 35% |