Predicting wastewater effects on antibiotic fluorescence from laboratory DOM quenching behavior by fingerprinting and machine learning

Key Points

• The aim is to determine how wastewater affects the detection of antibiotics using fluorescence techniques.
• Utilized machine learning techniques on fluorescence data
• Analyzed the effects of quenching behavior in controlled pH 7 conditions
• Employed fluorescence fingerprinting to assess antibiotic detection feasibility
• Machine learning effectively predicts the impact of wastewater on fluorescence.
• Fluorescence quenching behavior varies significantly between pure water and wastewater.
• The model shows potential for high accuracy in predicting antibiotic detection.