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Assessment of solid state fermentation by a biolectronic artificial nose.
1Applied Microbiology Laboratory, Agricultural Chemistry Department, National Taiwan University, Taipei, Taiwan, ROC.
Biotechnology Advances
|January 1, 1993
Summary
A novel bioelectronic artificial nose (AN) effectively monitors solid-state fermentation by analyzing odor profiles. This technology differentiates composting stages, indicating biodegradation and stabilization, and can also identify alcoholic beverages.
Area of Science:
- Bioelectronics
- Analytical Chemistry
- Environmental Science
Background:
- Solid-state fermentation (SSF) requires precise monitoring for optimal control.
- Assessing microclimate and reaction patterns in SSF is crucial for process management.
- Traditional methods for monitoring SSF can be time-consuming and lack on-site capabilities.
Purpose of the Study:
- To develop and evaluate a bioelectronic artificial nose (AN) for on-site monitoring of solid-state fermentations.
- To assess the AN's ability to differentiate between various stages of composting, specifically solid hog wastes.
- To explore the AN's potential for discriminating between different types of odours, including alcoholic beverages.
Main Methods:
- Utilized fractionated olfactory cell proteins from bullfrog as receptor membranes.
- Coated proteins onto a piezoelectric quartz crystal connected to an oscillator and data recorder.
- Employed a personal computer (PC) for analyzing the AN's response as odor profiles and scale factors.
Main Results:
- The AN successfully differentiated headspace gas profiles between early and late stages of solid hog waste composting.
- Scale factors revealed a distinct pattern: a large peak in the early stage (vigorous biodegradation) and a small peak in the later stage (stabilization).
- The AN demonstrated capability in discriminating between various alcoholic beverages.
Conclusions:
- The bioelectronic artificial nose provides a viable method for on-site monitoring and control of solid-state fermentations.
- The AN can effectively assess the progression of composting by analyzing odor patterns, distinguishing active biodegradation from stabilization.
- The developed AN shows versatility, applicable beyond composting to other areas like beverage analysis.