Low-cost method for quantification of hydrogen and methane in continuous flow bioreactors

IF 1.3 4区 计算机科学 Q1 Computer Science IBM Journal of Research and Development Pub Date : 2019-12-31 DOI:10.35429/jrd.2019.16.5.1.6
Silvino Rojas-Escobar, B. González-Contreras, Patricia Jaramillo-Quintero, Antonio Guevara-García
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Abstract

Bioreactors of industrial scale for gaseous biofuels constitute a field of research worldwide. Automation at a profitable technical and economic level has not been possible because of fluctuating biological systems. The quantification of biogas in continuous flow is difficult to implement by Gas Chromatography and it is very expensive in account of special sensors. In this work, we developed a system with MQ8 hydrogen and MQ4 methane sensors, used in the detection of industrial leaks, for the determination of gas concentration. The sensors were installed on Arduino cards and programmed to plot the concentration in real time. Calibration curves were made for these sensors making use of a standardized mixture of gases, in hermetic jars of known volume. The result is exponential and reproducible, and when using real biogas samples, no problems of interference with other gases are observed. The prototypes are very low cost with respect to the GC equipment and can be installed at the gas outlet of bioreactors with a mechatronic system that allows the monitoring of the composition in real time, which will allow to obtain microbial kinetics in semi-continuous flow in a very economical way.
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连续流生物反应器中氢和甲烷定量的低成本方法
工业规模的气体生物燃料生物反应器是世界范围内的一个研究领域。由于生物系统的波动,在有利可图的技术和经济水平上实现自动化是不可能的。气相色谱法对连续流动的沼气进行定量分析比较困难,而且由于需要特殊的传感器,测量成本很高。在这项工作中,我们开发了一个MQ8氢气和MQ4甲烷传感器系统,用于检测工业泄漏,以确定气体浓度。传感器安装在Arduino卡上,通过编程实时绘制浓度图。在已知体积的密封罐中,利用标准化的气体混合物,为这些传感器制作了校准曲线。结果是指数和可重复的,并且当使用真实的沼气样品时,没有观察到与其他气体干扰的问题。与气相色谱设备相比,原型机的成本非常低,并且可以安装在生物反应器的气体出口,带有机电一体化系统,可以实时监测成分,这将允许以非常经济的方式获得半连续流中的微生物动力学。
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IBM Journal of Research and Development
IBM Journal of Research and Development 工程技术-计算机:硬件
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6-12 weeks
期刊介绍: The IBM Journal of Research and Development is a peer-reviewed technical journal, published bimonthly, which features the work of authors in the science, technology and engineering of information systems. Papers are written for the worldwide scientific research and development community and knowledgeable professionals. Submitted papers are welcome from the IBM technical community and from non-IBM authors on topics relevant to the scientific and technical content of the Journal.
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