Assessment of a Low-Cost Hydrogen Sensor for Detection and Monitoring of Biohydrogen Production during Sugarcane Straw/Vinasse Co-Digestion

Andrés Barrera, David Gómez-Ríos, Howard Ramírez-Malule
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Abstract

In this work, hydrogen production from the co-digestion of sugarcane straw and sugarcane vinasse in the dark fermentation (DF) process was monitored using a cost-effective hydrogen detection system. This system included a sensor of the MQ-8 series, an Arduino Leonardo board, and a computer. For the DF, different concentrations of sugarcane vinasse and volumetric ratios of vinasse/hemicellulose hydrolysate were used together with a thermally pretreated inoculum, while the hydrogen detection system stored the hydrogen concentration data during the fermentation time. The results showed that a higher concentration of vinasse led to higher inhibitors for the DF, resulting in a longer lag phase. Additionally, the hydrogen detection system proved to be a useful tool in monitoring the DF, showcasing a rapid response time, and providing reliable information about the period of adaptation of the inoculum to the substrate. The measurement system was assessed using the error metrics SE, RMSE, and MBE, whose values ranged 0.6 and 5.0% as minimum and maximum values. The CV (1.0–8.0%) and SD (0.79–5.62 ppm) confirmed the sensor’s robustness, while the ANOVA at the 5% significance level affirmed the repeatability of measurements with this instrument. The RMSE values supported the accuracy of the sensor for online measurements (6.08–14.78 ppm). The adoption of this straightforward and affordable method sped up the analysis of hydrogen in secluded regions without incurring the expenses associated with traditional measuring instruments while offering a promising solution for biomass valorization, contributing to the advancement of rural green energy initiatives in remote areas.
评估用于检测和监控甘蔗秸秆/蔗渣协同消化过程中生物制氢的低成本氢传感器
在这项工作中,使用一种经济高效的氢气检测系统对甘蔗秸秆和甘蔗渣在暗发酵(DF)过程中共同消化产生的氢气进行了监测。该系统包括一个 MQ-8 系列传感器、一块 Arduino Leonardo 电路板和一台计算机。在黑暗发酵过程中,使用了不同浓度的甘蔗渣、不同体积比的甘蔗渣/纤维素水解物以及经过热预处理的接种物,而氢气检测系统则在发酵过程中存储氢气浓度数据。结果表明,较高浓度的蔗渣会导致较高的 DF 抑制剂,从而导致较长的滞后期。此外,氢气检测系统被证明是监测 DF 的有用工具,反应速度快,可提供有关接种物对基质适应期的可靠信息。测量系统使用误差指标 SE、RMSE 和 MBE 进行评估,其最小值和最大值分别为 0.6% 和 5.0%。CV 值(1.0-8.0%)和 SD 值(0.79-5.62 ppm)证实了传感器的稳健性,而 5%显著性水平的方差分析证实了该仪器测量的可重复性。RMSE 值证明了传感器在线测量的准确性(6.08-14.78 ppm)。采用这种简单、经济的方法加快了对偏远地区氢气的分析,而无需承担与传统测量仪器相关的费用,同时为生物质的价值评估提供了一个前景广阔的解决方案,有助于推进偏远地区农村绿色能源的发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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