Contaminants of emerging concern (CEC) such as tetracycline, erythromycin, and salicylic acid in groundwater can seriously endanger the environment and human health due to their widespread and everlasting harmful effects. Thus, continuous monitoring of various CEC concentrations in groundwater is essential to ensure the safety, security, and biodiversity of natural habitats. CECs can be detected using whole-cell biosensors for environmental surveillance and monitoring purposes, as they provide a cheaper and more robust alternative to traditional and expensive analytical techniques. In this study, various genetic circuit designs are considered to model three biosensors using the genetic design automation (GDA) software, iBioSim. The genetic circuits were designed to detect multiple CECs, including atrazine, salicylic acid, and tetracycline simultaneously to produce quantitative fluorescent outputs. The biosensor responses and the viability of the genetic circuit designs were further analysed using ODE-based mathematical simulations in iBioSim. The designed circuits and subsequent biosensor modelling presented here, thus, not only show the usefulness and importance of GDA tools, but also highlight their limitations and shortcomings that need to overcome in the future; thereby, providing a practical guidance for further improvement of such tools, so that they can be more effectively and routinely used in synthetic biology research.

中文翻译：

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基于硅电路的基于遗传电路的全细胞生物传感器检测地下水污染物的设计和分析

地下水中出现的四环素，红霉素和水杨酸等新兴污染物（CEC）由于其广泛而持久的有害作用，可能严重危害环境和人类健康。因此，持续监测地下水中各种CEC浓度对于确保自然栖息地的安全，保障和生物多样性至关重要。可以使用全细胞生物传感器检测CEC，以进行环境监测和监测，因为它们提供了传统且昂贵的分析技术的更便宜，更耐用的替代方法。在这项研究中，考虑使用遗传设计自动化（GDA）软件iBioSim对各种遗传电路设计进行建模，以对三个生物传感器进行建模。遗传回路旨在检测多种CEC，包括阿特拉津，水杨酸，和四环素同时产生定量的荧光输出。使用iBioSim中基于ODE的数学模拟进一步分析了生物传感器的响应和遗传电路设计的可行性。因此，这里介绍的设计电路和随后的生物传感器建模不仅显示了GDA工具的有用性和重要性，而且还突出了它们在未来需要克服的局限性和缺点。因此，为进一步改进此类工具提供了实用指南，以便可以在合成生物学研究中更有效和常规地使用它们。因此，这里介绍的设计电路和随后的生物传感器建模不仅显示了GDA工具的有用性和重要性，而且还突出了它们在未来需要克服的局限性和缺点。因此，为进一步改进此类工具提供了实用指南，以便可以在合成生物学研究中更有效和常规地使用它们。因此，这里介绍的设计电路和随后的生物传感器建模不仅显示了GDA工具的有用性和重要性，而且还突出了它们在未来需要克服的局限性和缺点。因此，为进一步改进此类工具提供了实用指南，以便可以在合成生物学研究中更有效和常规地使用它们。