In recent years, environmental contamination with antibiotics has become a severe threat to humankind requiring urgent attention. Presence of incompletely metabolized antibiotics in water bodies, leads to their entry into food chain via live stock and serve as a severe threat to human health. Hence it is imperative that the antibiotics are detected at the source itself. Aminoglycosides are broad spectrum antibiotics known to be more toxic and resistant to multidrug resistant (MDR) organisms compared to other classes of antibiotics. Accordingly in the present work a selective, sensitive and low-cost detection technique for aminoglycoside based antibiotics has been developed. An iron-dependent lipid peroxidation has been explored for the first time to develop a rapid and sensitive colorimetric assay for detecting aminoglycoside antibiotics. A lab-on-chip model (LoC) was designed and developed to miniaturize the colorimetric assay based model for its applications in the real-time analysis of antibiotics. The LoC was integrated with optical fibers, electronic components and associated signal processing circuitry to construct a portable device for antibiotic quantification. Interestingly a selective response towards gentamicin amongst the tested antibiotic was observed. The formation of a colored product within five minutes of reaction time enables a swift and less cumbersome analysis and compared to existing sophisticated analytical techniques. The detection method was validated for gentamicin spiked environmental samples and showed a recovery of more than 90%. This method can serve as a suitable alternative in limited laboratory setups and provides a generic platform for developing a rapid, user-friendly and economical detection methods for environmental monitoring of antibiotics.

近年来，抗生素对环境的污染已成为人类面临的严重威胁，亟待引起重视。水体中存在未完全代谢的抗生素，导致它们通过牲畜进入食物链，对人类健康构成严重威胁。因此，必须在源头本身检测抗生素。与其他类别的抗生素相比，氨基糖苷类抗生素是广谱抗生素，已知其毒性更强，对多重耐药 (MDR) 生物具有更强的耐药性。因此，在目前的工作中，开发了一种用于氨基糖苷类抗生素的选择性、灵敏和低成本的检测技术。首次探索了铁依赖性脂质过氧化反应，以开发一种快速灵敏的比色法来检测氨基糖苷类抗生素。设计和开发了一种芯片实验室模型 (LoC)，以将基于比色测定的模型小型化，以用于其在抗生素实时分析中的应用。LoC 与光纤、电子元件和相关信号处理电路集成在一起，构建了一种用于抗生素量化的便携式设备。有趣的是，观察到在测试的抗生素中对庆大霉素的选择性反应。与现有的复杂分析技术相比，在反应时间的五分钟内形成有色产品可以实现快速且不那么繁琐的分析。该检测方法对加标庆大霉素的环境样品进行了验证，表明回收率超过 90%。