A Unified Theory for Microbial Growth Controlled by Multiple Limiting Substances

1988 ◽  
Vol 20 (11-12) ◽  
pp. 513-515 ◽  
Author(s):  
Chung-Yuan Chen

Generally speaking, models dealing with multiple limiting substances have mainly been derived from three different categories of studies, namely, multiple toxicity, multiple nutrient limitation and inhibition of enzyme catalysis. As different basic mechanisms were assumed by these models, a simple and unique theory which handles all these types of multiple-substance limited growth does not appear to exist. This paper presents a unified theory, based on a probabilistic foundation, for microbial growth controlled by multiple limiting substances (including both nutrient and toxicant). Most of the existing kinetic models in the aforementioned three areas can be generated using one theory. The theory has a broad application in many aspects, e.g. wastewater treatment, eutrophication studies, risk assessment, etc.

1985 ◽  
Vol 19 (6) ◽  
pp. 791-798 ◽  
Author(s):  
Chung-Yuan Chen ◽  
Erik R. Christensen

Author(s):  
Annalaura Carducci ◽  
Gabriele Donzelli ◽  
Lorenzo Cioni ◽  
Ileana Federigi ◽  
Roberto Lombardi ◽  
...  

Biological risk assessment in occupational settings currently is based on either qualitative or semiquantitative analysis. In this study, a quantitative microbial risk assessment (QMRA) has been applied to estimate the human adenovirus (HAdV) health risk due to bioaerosol exposure in a wastewater treatment plant (WWTP). A stochastic QMRA model was developed considering HAdV as the index pathogen, using its concentrations in different areas and published dose–response relationship for inhalation. A sensitivity analysis was employed to examine the impact of input parameters on health risk. The QMRA estimated a higher average risk in sewage influent and biological oxidation tanks (15.64% and 12.73% for an exposure of 3 min). Sensitivity analysis indicated HAdV concentration as a predominant factor in the estimated risk. QMRA results were used to calculate the exposure limits considering four different risk levels (one illness case per 100, 1.000, 10.000, and 100.000 workers): for 3 min exposures, we obtained 565, 170, 54, and 6 GC/m3 of HAdV. We also calculated the maximum time of exposure for each level for different areas. Our findings can be useful to better define the effectiveness of control measures, which would thus reduce the virus concentration or the exposure time.


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