Comprehensive advances in CsPbBr <sub>3</sub> perovskite quantum dots for ultrasensitive fluorescent nanosensors in food safety monitoring
Sulieman Ibraheem Shelash Al-HawaryElectronic Marketing and Social Media, Economic and Administrative Sciences Zarqa University, JordanHashim JabbarDepartment of Anesthesia Technology, College of Health Technology, Knowledge University, Kirkuk Road, 44001 Erbil, IraqAsokan VasudevanFaculty of Business and Communications, INTI International University, 71800 Negeri Sembilan, MalaysiaI.B. SapaevHead of the Department Physics and Chemistry, Tashkent Institute of Irrigation and Agricultural Mechanization Engineers, National Research University, Tashkent, UzbekistanM M RekhaDepartment of Chemistry and Biochemistry, School of Sciences, JAIN (Deemed to be University), Bangalore, Karnataka, IndiaS. GayathriDepartment of Chemistry, Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, IndiaHazem ZabebahDepartment of Medical Analysis, Medical Laboratory Technique College, The Islamic University, Najaf, IraqRenu SharmaDepartment of Chemistry, University Institute of Sciences, Chandigarh University, Mohali, Punjab, IndiaPusparaj SamantsingharDepartment of Forensic Medicine & Toxicology, IMS and SUM Hospital, Siksha ‘O’ Anusandhan (Deemed to be University), Bhubaneswar, Odisha-751003, IndiaShayan MahmoodiDepartment of Chemistry, Young Researchers and Elite Club, Tehran Branch, Islamic Azad University, Tehran, Iran
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PQDs in the fluorescence-based detection of foodborne pathogens and non-pesticide contaminants. Unlike prior reviews on general perovskite QDs or broader nanosensors, it provides a structured framework emphasizing synthesis strategies, detection mechanisms in real food matrices, comparative performance with other nanomaterials, toxicity mitigation, and prospects for IoT-integrated, regulatory-compliant, field-deployable sensing technologies. The review addresses toxicity and instability challenges through lead-free alternatives and Internet of Things (IoT)-integrated platforms, paving the way for scalable, real-time food safety diagnostics.
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