The quantification of biodegradable organic matter (BOM) in polluted water plays an essential role for biodegradation-based processing of wastewater and management of water environment. Compared with the traditional detection of five-day biochemical oxygen demand (BOD5), microbial fuel cell (MFC) sensors have shown an advantage for rapid and more accurate BOM assessment in several hours using coulombic yield of MFC as the signal. In this study, we propose a new calculation method that relies on the partial coulombic yield (P-CY) to further shorten the duration of the measurement. The P-CY is the cumulative coulomb at the point at which the voltage acquisition reaches a maximum voltage drop rate. The detection results with the standard GGA solution (a mixture of glucose and glutamic acid) show an enhanced linear relationship ranging from 37.5 mg L-1 to 375 mg L-1 in comparison to conventional methods. Notably, the response time for P-CY is remarkably shortened (0.99 ± 0.18-18.08 ± 0.58 h). The cutoff point for P-CY has more stable electrochemical characteristics, which enhances the accuracy of BOM detection. Furthermore, the validity of our determination of the cutoff point for P-CY is demonstrated by a mathematical model based on the Michaelis-Menten equation. Thus, the P-CY method is viable for the rapid detection of BOM in polluted water.

中文翻译：

---

用微生物燃料电池传感器快速检测污水中可生物降解的有机物：部分库仑法。

污水中可生物降解有机物（BOM）的定量对于基于生物降解的废水处理和水环境管理起着至关重要的作用。与传统的五天生化需氧量（BOD5）检测相比，微生物燃料电池（MFC）传感器显示了使用MFC的库仑收率作为信号在几个小时内快速，更准确地评估BOM的优势。在这项研究中，我们提出了一种新的计算方法，该方法依赖于部分库仑产率（P-CY）来进一步缩短测量时间。P-CY是在电压采集达到最大电压下降率时的累积库仑。标准GGA溶液（葡萄糖和谷氨酸的混合物）的检测结果显示线性关系从37开始增强。与传统方法相比，从5 mg L-1到375 mg L-1。值得注意的是，P-CY的响应时间显着缩短（0.99±0.18-18.08±0.58 h）。P-CY的截止点具有更稳定的电化学特性，从而提高了BOM的检测精度。此外，我们通过基于Michaelis-Menten方程的数学模型证明了我们确定P-CY的临界点的有效性。因此，P-CY方法可用于快速检测污水中的BOM。基于Michaelis-Menten方程的数学模型证明了我们确定P-CY临界点的有效性。因此，P-CY方法可用于快速检测污水中的BOM。基于Michaelis-Menten方程的数学模型证明了我们确定P-CY临界点的有效性。因此，P-CY方法可用于快速检测污水中的BOM。