review · Bioanalysis
Bioanalytical laboratories face significant challenges in sample preparation due to the complexity of biological matrices and the low concentrations of target analytes. This review focuses on advances in green sample preparation (GSP) techniques tailored to meet these challenges while promoting sustainability. Innovations in sorbents, including metal-organic frameworks (MOFs), magnetic nanoparticles (MNPs), sol-gel-based materials, molecularly imprinted polymers (MIPs), carbon-based materials, and natural sorbents like cellulose and kapok fiber, have enhanced extraction efficiency and selectivity. Green solvents such as deep eutectic solvents (DES), ionic liquids (ILs), supramolecular solvents (SUPRAs), and switchable hydrophilicity solvents (SHSs) further reduce environmental impact by minimizing toxic solvent use. This review highlights their use in drug analysis, emphasizing their roles in enhancing extraction efficiency, selectivity, and environmental sustainability. Recent applications demonstrate the integration of these sorbents and solvents into bioanalytical workflows, significantly improving analytical performance while adhering to Green Analytical Chemistry (GAC) principles. It is anticipated that this comprehensive review will aid scholars in the formulation of selective, rapid, environmentally friendly, straightforward, sensitive, and precise analytical methodologies for bioanalysis, thereby promoting innovation and sustainability within drug analysis protocols.
This page summarises published work. The authoritative version sits with the publisher.
DOI: 10.1080/17576180.2025.2481026
Is something wrong with this record? Report it or request removal.
Discussion
Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.
No discussion yet. Open the first thread.
New to MARATTO™? Create a free account.