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- W2574635544 abstract "Molecularly imprinted polymers (MIPs) are biomimetics which can selectively bind to analytes of interest. One of the most interesting areas where MIPs have shown the biggest potential is food analysis. MIPs have found use as sorbents in sample preparation attributed to the high selectivity and high loading capacity. MIPs have been intensively employed in classical solid-phase extraction and solid-phase microextraction. More recently, MIPs have been combined with magnetic bead extraction, which greatly simplifies sample handling procedures. Studies have consistently shown that MIPs can effectively minimize complex food matrix effects, and improve recoveries and detection limits. In addition to sample preparation, MIPs have also been viewed as promising alternatives to bio-receptors due to the inherent molecular recognition abilities and the high stability in harsh chemical and physical conditions. MIPs have been utilized as receptors in biosensing platforms such as electrochemical, optical and mass biosensors to detect various analytes in food. In this review, we will discuss the current state-of-the-art of MIP synthesis and applications in the context of food analysis. We will highlight the imprinting methods which are applicable for imprinting food templates, summarize the recent progress in using MIPs for preparing and analysing food samples, and discuss the current limitations in the commercialisation of MIPs technology. Finally, future perspectives will be given." @default.
- W2574635544 created "2017-01-26" @default.
- W2574635544 creator A5020601559 @default.
- W2574635544 creator A5026094218 @default.
- W2574635544 creator A5047665006 @default.
- W2574635544 creator A5052649447 @default.
- W2574635544 creator A5057830141 @default.
- W2574635544 creator A5077808130 @default.
- W2574635544 creator A5081978877 @default.
- W2574635544 date "2017-05-01" @default.
- W2574635544 modified "2023-10-10" @default.
- W2574635544 title "Molecularly imprinted polymers for sample preparation and biosensing in food analysis: Progress and perspectives" @default.
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