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Modeling and characterization of an engineered microbial biosensor for high-throughput screening of arsenic in rural water
Process Safety and Environmental Protection ( IF 7.8 ) Pub Date : 2021-07-15 , DOI: 10.1016/j.psep.2021.07.019
Toktam Ghadam Soltani 1 , Mansour Mashreghi 1, 2, 3 , Mohammad Reza Housaindokht 4 , Mohamad Hosein Mahmudy Gharaie 5
Affiliation  

Current arsenic analysis methods in groundwater samples rely on expensive apparatus, complicated procedures, and dangerous chemical reagents. Also, delays in detecting arsenic harm to public health, the environment, agriculture and food sectors. Therefore, in this study, a bioluminescent biosensor has been optimized and used to detect and measure arsenic concentration in groundwater. Optimum conditions for the appropriate performance of E. coli DH5α (pJAMA-arsR) were determined and the luminescent calibration curve was drawn. The optimization results showed that maximum luminescent light output could occur at the end of the logarithmic phase or the beginning of the stationary phase, the temperature of 37 °C, and pH between 5.5 and 7 upon adding 10 μl n-decanal (18 mM). Increasing the duration of bacterial induction by arsenic leads to elevation of biosensor luminescent light yield. Functional stability of the biosensor with 20 % glycerol (V/V) at −20 °C was verified for at least six months. Luminescence reaction of the bacterial biosensor cells to arsenic concentration in the range of 0–90 ppb was promising (R2 = 0.948 by linear regression), but higher arsenic concentration had poisonous effect on biosensor cells. The modified Gompertz model derived here could successfully predict the bacterial biosensor growth under the optimum condition compared with experimental data. In this study critical challenges, such as technical and appropriate performance, are defined to interpret the bacterial biosensor’s true perspective to promote its broad adoption and usage. The work is concluded with closing remarks and potential perspectives to emphasize the importance of the bacterial biosensor, which could detect arsenic from a wide scope in real-time, quickly, and environmentally friendly signaling tool with high sensitivity and selectivity.



中文翻译:

用于农村水中砷高通量筛选的工程微生物生物传感器的建模和表征

目前地下水样品中的砷分析方法依赖于昂贵的设备、复杂的程序和危险的化学试剂。此外,延迟检测砷对公共健康、环境、农业和食品部门的危害。因此,在本研究中,优化了一种生物发光生物传感器,用于检测和测量地下水中的砷浓度。大肠杆菌适当性能的最佳条件测定DH5α(pJAMA-arsR)并绘制发光校准曲线。优化结果表明,加入10 μl正癸醛(18 mM)后,在对数相结束或固定相开始时,温度为37°C,pH值在5.5至7之间时,发光光输出最大。 . 增加砷诱导细菌的持续时间会导致生物传感器发光光产量的提高。使用 20% 甘油 (V/V) 的生物传感器在 -20 °C 下的功能稳定性至少经过了六个月的验证。细菌生物传感器细胞对砷浓度在 0-90 ppb 范围内的发光反应是有希望的(R 2= 0.948 线性回归),但较高的砷浓度对生物传感器细胞有毒性作用。与实验数据相比,此处导出的修正 Gompertz 模型可以成功预测最佳条件下细菌生物传感器的生长。在这项研究中,定义了关键挑战,例如技术和适当的性能,以解释细菌生物传感器的真实观点,以促进其广泛采用和使用。该工作以结束语和潜在观点结束,以强调细菌生物传感器的重要性,该传感器可以实时、快速、环保地检测大范围砷,具有高灵敏度和选择性。

更新日期:2021-07-21
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