1- Molecularly imprinted polymers (MIPs) for environmental contaminants:

Analysis of organic pollutants in the environment relies chromatographic separation and mass spectrometry analysis. Direct analysis of such samples contaminates the instrument and add uncertainty to the results. Thin film MIPs are elegant solution for selective extraction of various organic contaminates (i.e., hydrocarbons, pesticides, and pharmaceuticals from water. Portability and ease of use make them a great alternative for current water monitoring methods.

Recent article:

2- Insight in to molecular imprinting:

MIPs are being reported as selective materials for extraction of analytes. The great performance of our thin film MIPs motivate us to explore the chemistry behind this behavior. To serve that purpose we investigate the role of various components in the MIP system using theoretical approaches. We also evaluate the theoretical approaches and the performance of MIPs using material characterization studies like SEM, DSC, adsorption isotherms.

Recent article:

3- Molecularly imprinted polymer for therapeutic drug monitoring (TDM):

Analysis of pharmaceutical compounds in biologicals samples including blood and urine is challenging due complicated matrices and variability of matrix content between individual samples. Using thin film MIPs provides a unique platform to isolate target analytes and eliminate the effect of macromolecules and other interfering substances.

Recent article:!divAbstract

4- Skipping chromatography for rapid analysis using ambient ionization mass spectrometry (AIMS):

Conventional analytical methods use chromatographic separations like gas chromatography (GC) and liquid chromatography (LC) for reliable measurement of analytes. However, these techniques which are the bottleneck of analysis require various resources such as solvents, consumables, and maintenance of the instrument. Using ambient ionization mass spectrometry techniques like desorption electrospray ionization (DESI) avoids such separation techniques and provides faster and high-throughput analysis.

Recent article: