This comprehensive review explores the rapidly evolving field of machine learning (ML) models for predicting the hazards of per- and polyfluoroalkyl substances (PFAS).
This article explores the convergence of CRISPR-Cas biosensing, lab-on-a-chip (LOC) microfluidics, and smartphone imaging to create powerful, decentralized diagnostic platforms.
This article explores the convergence of lab-on-a-chip (LoC) systems, electrochemical sensing, and smartphone technology for the rapid, on-site detection of drug residues.
This article explores the development and application of smartphone-based microfluidic ELISA (Enzyme-Linked Immunosorbent Assay) platforms for the detection of pharmaceutical residues in water.
This article provides a comprehensive overview of the core principles and practical applications of microfluidic chip design tailored for pharmaceutical analysis.
This article explores the transformative role of machine learning (ML) in smartphone-based environmental analysis.
This article explores the transformative role of smartphone-based biosensors in detecting pharmaceutical compounds within environmental samples.
This article provides a comprehensive review of optical detection methods integrated with smartphone-based lab-on-a-chip (LoC) platforms, tailored for researchers and professionals in drug development and biomedical science.
This article provides a comprehensive review of the latest material innovations and their applications in lab-on-a-chip (LoC) devices for environmental monitoring.
This article provides a comprehensive overview of Micro Total Analysis Systems (μTAS) for environmental monitoring, tailored for researchers, scientists, and drug development professionals.