scholarly journals The effect of substrate concentration on granular fermentation for caproic acid production

Author(s):  
Quinten Mariën

Contribution to the International Chain Elongation Conference 2020 | ICEC 2020. An abstract can be found in the right column.

Author(s):  
Corine Nzeteu

Contribution to the International Chain Elongation Conference 2020 | ICEC 2020. An abstract can be found in the right column.


Author(s):  
Seongcheol Kang

Contribution to the International Chain Elongation Conference 2020 | ICEC 2020. An abstract can be found in the right column.


2013 ◽  
Vol 69 (1) ◽  
pp. 62-68 ◽  
Author(s):  
M. T. Agler ◽  
C. M. Spirito ◽  
J. G. Usack ◽  
J. J. Werner ◽  
L. T. Angenent

High productivity and specificity in anaerobic digesters arise because complex microbiomes organize into a metabolic cascade to maximize energy recovery and to utilize the advantage that the gaseous end product methane freely bubbles out of the system. These lessons were applied to ascertain whether a reactor microbiome could be shaped to produce a different end product. The liquid product n-caproic acid was chosen, which is a 6-carbon-chain carboxylic acid that is valuable and that has a relatively low maximum solubility concentration for product recovery. Acetoclastic methanogenesis was inhibited by pH control and a route was provided for n-caproic acid extraction by implementing selective, in-line recovery. Next, ethanol was supplemented to promote chain elongation, which is a pathway in which short-chain carboxylic acids are elongated sequentially into medium-chain carboxylic acids with two-carbon units derived from ethanol. The reactor microbiome developed accordingly with the terminal process catalyzed by chain-elongating bacteria. As a result, n-caproic acid production rates increased to levels comparable to anaerobic digestion systems for solid waste treatment.


Author(s):  
Vicky De Groof

Contribution to the International Chain Elongation Conference 2020 | ICEC 2020. An abstract can be found in the right column.


Author(s):  
Pieter Candry

Contribution to the International Chain Elongation Conference 2020 | ICEC 2020. An abstract can be found in the right column.


2013 ◽  
Vol 441 ◽  
pp. 526-529
Author(s):  
Yu Hua Zhu ◽  
Dian Zheng Zhuang

Nitric acid production process is complicated reaction mechanism, serious non-linear the traditional mechanism modeling to get the low accuracy of the mathematical model. This paper adopts a non-mechanism modeling, using the production history data, the use of artificial neural network has the right to arbitrary nonlinear mapping any approximation ability to simulate the relationship of the actual system input-output, trained to be get steady-state model of the nitric acid production process.


Author(s):  
Junwei Li ◽  
Chao Zhang ◽  
Qiushuo Xu ◽  
Sun Lin ◽  
Zhanqi Liu ◽  
...  

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