Mapping and controlling nucleation

Lead Research Organisation: University of Glasgow
Department Name: School of Chemistry

Abstract

The nucleation of a new phase from solution, such as the nucleation of crystals, is of immense importance to both industry and fundamental science. Industrial crystallisation has changed little in the past 350 years and suffers from an embarrassing lack of control with sometimes unexpected and severe financial consequences. Unfortunately, the theoretical understanding of crystal nucleation has not improved much since the work of Ostwald and Gibbs a century ago. Exceptions are the work by Cölfen on non-classical nucleation theories and that of Frenkel, on the role of critical density fluctuations in crystallisation. However, these new ideas are often applied within chemical engineering without a real understanding of the applicability of the underlying chemical physics.

Here it is proposed to map and control the early stages of nucleation in liquids. Nucleation will be treated in its most general form, that is, liquid-gas, liquid-liquid, and liquid-solid, while taking into consideration the possible presence of liquid-liquid critical points. Driving these systems very far from equilibrium, will allow us to create meta- and unstable states that will give rise to nucleation and spinodal decomposition. The subsequent highly non-equilibrium processes will be mapped using transmitted-light and Raman microscopy and, in particular, fluorescence microscopy using a range of environmentally sensitive fluorophores.

We propose to develop a novel instrument that will change the study of crystal nucleation and will make the first steps towards control over the polymorph that crystallises. It involves laser-induced nucleation using powerful picosecond and femtosecond lasers, and programmable diffractive optics, resulting in a massively parallel nucleation set-up. The resultant nucleation events will be followed in real-time using the mapping techniques developed previously. This breakthrough will allow us to carry out very large numbers of experiments and collect meaningful statistics for the first time. The massively parallel nucleation instrument will be used to carry out a number of nucleation-control experiments ranging from the relatively straightforward nucleation of liquid-crystalline phases or bubbles, to the induction of chirality in nucleation using "massively parallel optical stirrer beans" employing the spin and orbital angular momentum of light.

Planned Impact

The impact of the proposed research will be discussed in four main areas: economy, knowledge, people, and society.

Economy

The proposal under consideration concerns the development of a new instrument and associated suitable liquids and solutions. It will lead to new fundamental insights into crystal nucleation and polymorph selection that will be applicable to industrial processes such as the production of drugs, pigments, etc. The development of massively parallel nucleation techniques using diffractive optics (programmable or static) may well lead to practical formulation methods and fits well with the EPSRC Manufacturing the Future theme. Through a visiting professorship in the Department of Chemical and Process Engineering at Strathclyde, contacts will be made with the chemical engineering community. Through the EPSRC Centre for Innovative Manufacturing in Continuous Manufacturing and Crystallisation (CMAC) funded by EPSRC, SFC, and industry, contact will be made with a user group of potential investors and industrialists. The University of Glasgow is a co-founding partner of Easy Access Innovation to promote new ways of sharing intellectual property. Finally, we are keen to share research equipment with the strategic aim to collaborate across traditional scientific boundaries, to develop new research strands, and to explore routes to impact.

Knowledge

The knowledge generated by the proposed work will be communicated through standard routes: papers, conferences, etc. The applicants have a good track record of getting results published in high impact factor journals. Other channels of knowledge transfer include the organisation of conferences such as the International Workshop on Ultrafast Chemical Physics (UCP) in Glasgow, sub-conferences at SPIE Photonics West and the International Conference on Time-Resolved Vibrational Spectroscopy (TRVS) to be organised by the PI and others in 2017 in the UK.

People

The research proposal under consideration here is people centred and career development of the team members a key aim. Key roles will be played by the ultrafast chemical physics collaboration between the PI and Hunt (UCP, http://www.ultrachemphys.org/) and the Biomolecular spectroscopy & dynamics Cluster (BioC, http://www.chem.gla.ac.uk/bioc/), which involves a group of researchers from Glasgow and Strathclyde Universities that specialise in biomolecular spectroscopy and in particular in dynamical processes. The PI has a history of successfully mentoring undergraduate and postgraduate students and postdocs. It is hoped that this good track record can be continued through the appropriate mentoring of RAs and PGRSs, for example, through the University of Glasgow's Researcher Development Framework.

Society

It will be attempted to communicate a flavour of the research enterprise and its results to the public. There are good reasons to believe that this might attract interest as YouTube is now featuring an increasing number of well-watched chemical science videos. The plan for the future in this area is to explore video as a medium for dissemination. These ideas are already being implemented and the group has a YouTube channel featuring our first few videos.

Publications

10 25 50

publication icon
González-Jiménez M (2023) Understanding the emergence of the boson peak in molecular glasses. in Nature communications

publication icon
González-Jiménez M (2021) Low-frequency vibrational modes in G-quadruplexes reveal the mechanical properties of nucleic acids. in Physical chemistry chemical physics : PCCP

 
Description Laser control over crystal nucleation
Amount £2,826,676 (GBP)
Funding ID 832703 
Organisation European Research Council (ERC) 
Sector Public
Country Belgium
Start 09/2019 
End 02/2025
 
Title Control over phase separation and nucleation using a laser-tweezing potential 
Description  
Type Of Material Database/Collection of data 
Year Produced 2017 
Provided To Others? Yes  
 
Title Experimental observation of nanophase segregation of aqueous salt solutions around the predicted liquid-liquid transition in water 
Description Data accompanying article at https://doi.org/10.1039/C9CP06082K 
Type Of Material Database/Collection of data 
Year Produced 2020 
Provided To Others? Yes  
URL http://researchdata.gla.ac.uk/id/eprint/1001
 
Title Low-frequency vibrational modes in G-quadruplexes reveal the mechanical properties of nucleic acids 
Description  
Type Of Material Database/Collection of data 
Year Produced 2021 
Provided To Others? Yes  
URL http://researchdata.gla.ac.uk/id/eprint/1150
 
Title Polyamorphism mirrors polymorphism in the liquid-liquid transition of a molecular liquid 
Description Liquid-liquid transitions between two amorphous phases in a single-component liquid (polyamorphism) have defied explanation and courted controversy. All known examples of liquid-liquid transitions have been observed in the supercooled liquid suggesting an intimate connection with vitrification and locally favored structures inhibiting crystallization. However, there is precious little information about the local molecular packing in supercooled liquids meaning that the order parameter of the transition is still unknown. Here, we investigate the liquid-liquid transition in triphenyl phosphite and show that it is caused by the competition between liquid structures that mirror two crystal polymorphs. The liquid-liquid transition is found to be between a geometrically frustrated liquid to a dynamically frustrated glass. These results indicate a general link between polymorphism and polyamorphism and will lead to a much greater understanding of the physical basis of liquid-liquid transitions and allow the discovery of other examples. 
Type Of Material Database/Collection of data 
Year Produced 2020 
Provided To Others? Yes  
URL http://researchdata.gla.ac.uk/id/eprint/993
 
Title Prediction of malaria mosquito species and population age structure using mid-infrared spectroscopy and supervised machine learning 
Description Despite the global efforts made in the fight against malaria, the disease is resurging. One of the main causes is the resistance that Anopheles mosquitoes, vectors of the disease, have developed to insecticides. Anopheles must survive for at least 12 days to possibly transmit malaria. Therefore, to evaluate and improve malaria vector control interventions, it is imperative to monitor and accurately estimate the age distribution of mosquito populations as well as total population sizes. However, estimating mosquito age is currently a slow, imprecise, and labour-intensive process that can only distinguish under- from over-four-day-old female mosquitoes. Here, we demonstrate a machine-learning based approach that utilizes mid-infrared spectra of mosquitoes to characterize simultaneously, and with unprecedented accuracy, both age and species identity of females of the malaria vectors Anopheles gambiae and An. arabiensis mosquitoes within their respective populations. The prediction of the age structures was statistically indistinguishable from true modelled distributions. The method has a negligible cost per mosquito, does not require highly trained personnel, is substantially faster than current techniques, and so can be easily applied in both laboratory and field settings. Our results show that, with larger mid-infrared spectroscopy data sets, this technique can be further improved and expanded to vectors of other diseases such as Zika and Dengue. 
Type Of Material Database/Collection of data 
Year Produced 2018 
Provided To Others? Yes  
 
Title Rapid age-grading and species identification of natural mosquitoes for malaria surveillance 
Description The malaria parasite, which is transmitted by several Anopheles mosquito species, requires more time to reach its human-transmissible stage than the average lifespan of mosquito vectors. Monitoring the species-specific age structure of mosquito populations is critical to evaluating the impact of vector control interventions on malaria risk. We developed a rapid, cost-effective surveillance method based on deep learning of mid-infrared spectra of mosquito cuticle that simultaneously identifies the species and age class of three main malaria vectors in natural populations. Using spectra from over 40,000 ecologically and genetically diverse An. gambiae, An. arabiensis, and An. coluzzii females, we developed a deep transfer learning model that learned and predicted the age of new wild populations in Tanzania and Burkina Faso with minimal sampling effort. Additionally, the model was able to detect the impact of simulated control interventions on mosquito populations, measured as a shift in their age structures. In the future, we anticipate our method can be applied to other arthropod vector-borne diseases. 
Type Of Material Database/Collection of data 
Year Produced 2022 
Provided To Others? Yes  
URL http://researchdata.gla.ac.uk/id/eprint/1235
 
Title Understanding the emergence of the boson peak in molecular glasses 
Description Data used to make the figures in the manuscript 
Type Of Material Database/Collection of data 
Year Produced 2023 
Provided To Others? Yes  
URL http://researchdata.gla.ac.uk/id/eprint/1381