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Role of thermomechanical recycling of polypropylene on quiescent microplastic formation

Isotactic polypropylene (iPP) is the second most produced plastic (nearly 100 million tons/annum). iPP is a semicrystalline thermoplastic, and is typically processed from the melt state into final products. Thermoplastics can be melted and re-processed: therefore, iPP can, in principle, be recycled thermomechanically. However, melt processing takes place at elevated temperatures, typically near 240oC and can result in scission of molecular bonds. This results in deterioration of properties of the plastic.

Investigating mechanical properties and applications of polyethylene-clay nanocomposites

Our group has recently introduced a new class of materials, comprising polyethylene chains covalently grafted to a layered inorganic substrate (See: https://pubs.acs.org/doi/abs/10.1021/acsapm.3c00649). This novel material, that we refer to as PE-clay, has remarkable and unprecedented properties. For example, it exhibits adhesion to metal surfaces with strengths that are over 100X that for regular polyethylene, even at an inorganic loading of less than 2%. Further, the modulus of this material is significantly higher than that for polyethylene of comparable crystallinity.

Generative machine learning models to predict novel stable materials

Data-driven machine learning models are increasingly being used to generate stable materials which form the basis for rational design of novel catalysts and battery materials. These models are trained on a database of stable materials computed using first principles methods. Based on this database, architectures such as the variational auto-encoder, generative adversarial networks and (more recently) the transformer learn an implicit probability distribution. This distribution is used to decides if a given material is stable. 

Tracking Protein Chaos in Neurodegeneration Simulations

Intrinsically disordered proteins (IDPs) are special proteins without a fixed 3D shape, like wiggly strings that flex to do key jobs in cells, but in diseases like Parkinson's (alpha-synuclein) or Alzheimer's (tau), mutations make them clump into toxic tangles harming brain cells. This project uses molecular dynamics (MD) simulations—computer models that mimic atomic wiggles over time—to watch how these changes spread along the protein chain, spotting "switches" that trigger clumping.

Computer Simulations to Unravel Protein Clumps Causing Type 2 Diabetes

Intrinsically disordered proteins are proteins that lack a stable three dimensional structure. In many cases they control vital cellular processes or have been associated with disease. In this project, we use computer simulations to study a protein called IAPP that clumps up harmfully in type 2 diabetes, killing the cells that make insulin. Lacking fixed structure, IAPP's flexible conformations shift with mutations toward fibril-prone states that block insulin from working properly.

How do cells react to microplastic pollution?

BTP
Developing an understanding the effect of microplastics on cellular function is important. This project will involve preparing microplastics from common commercial polymers (such as polyethylene, polypropylene, polystyrene and polyesters) and their thorough characterization. One aspect of this project will be to come up with a protocol to generate fluorescently tagged microplastics to allow them to be tracked as they are ingested by cells. Subsequently, cells will be exposed to these microplastics and their response will be studied.