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用于测定 Pb 的 MFC 生物传感器的研制:从计算流体动力学和生命周期评估角度的评估。

Development of an MFC-biosensor for determination of Pb: an assessment from computational fluid dynamics and life cycle assessment perspectives.

机构信息

Faculty Environmental Engineering Department, Yildiz Technical University Civil Engineering, Istanbul, Turkey.

Maritime Faculty, Department of Naval Architecture and Marine Engineering, Bandirma Onyedi Eylul University, Bandırma, Balıkesir, Turkey.

出版信息

Environ Monit Assess. 2022 Mar 4;194(4):245. doi: 10.1007/s10661-022-09894-w.

Abstract

Microbial fuel cell (MFC)-based biosensor sensing has emerged as an innovative approach to in situ and immediate monitoring of substrate concentration. MFC-biosensor uses bioanode as a sensing element. In this study, the performance of MFC-biosensor, operated with Pb, was studied at different hydraulic retention times (HRTs). The HRT ranges were 0.5, 1, and 2 days. The power density generation increased with the decreasing HRT. The highest achievable power density was obtained at HRT of 1 days with the density value of 597 mW/m. The power density produced in the MFC system was stored in the energy storage system. The computational fluid dynamics (CFD) method simulates detailed three-dimensional flow and heat transfer properties in reactors and provides information about potential reactor design. CFD was chosen to simulate the concentration distribution of the substrate in the MFC in different reactor type and different HRTs. It was observed that there was good turbulence in the reactor in a two day HRT and the reactor volume was used effectively. Life cycle assessment (LCA) was performed at 1 day with the highest power density. An LCA was implemented to the production and operation processes of a microbial fuel cell. According to the results, these two processes caused 4.23 × 10 loss of healthy years, extinction of 1.3 × 10 species in a year and loss of $ 0.33 source availability. The emissions to air, water, and soil were also calculated. These results showed that MFC-biosensor provided information on the rate of biodegradation processes.

摘要

微生物燃料电池 (MFC)- 为基础的生物传感器传感已经成为一种创新的方法,用于原位和即时监测基质浓度。MFC- 生物传感器使用生物阳极作为传感元件。在这项研究中,研究了在不同水力停留时间 (HRT) 下操作的 MFC- 生物传感器的性能。HRT 范围为 0.5、1 和 2 天。随着 HRT 的降低,功率密度生成增加。在 HRT 为 1 天的情况下,获得了最高可达的功率密度,密度值为 597 mW/m。在 MFC 系统中产生的功率密度被储存在储能系统中。计算流体动力学 (CFD) 方法模拟反应器中的详细三维流动和传热特性,并提供有关潜在反应器设计的信息。选择 CFD 来模拟不同反应器类型和不同 HRT 下 MFC 中基质的浓度分布。观察到在 HRT 为 2 天的情况下,反应器中存在良好的湍流,并且有效地利用了反应器体积。在最高功率密度下,对 1 天进行了生命周期评估 (LCA)。对微生物燃料电池的生产和运行过程进行了 LCA。根据结果,这两个过程导致 4.23×10 年健康损失,每年灭绝 1.3×10 种物种和 0.33 美元来源可用性损失。还计算了向空气、水和土壤的排放。这些结果表明,MFC- 生物传感器提供了有关生物降解过程速率的信息。

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