Active Chemistry Physics & Astronomy

Quantitative Electron-Beam X-ray Microanalysis (SEM and EPMA) In Earth And Environmental Sciences

In plain English

AI plain-English summary

A short course will train PhD students and early career researchers in the precise measurement of elements in rocks and materials using electron-beam X-ray microanalysis. This training addresses a critical skills gap. Many early-career scientists missed hands-on instrument time during the pandemic, leaving them unable to produce reliable data or to spot flawed results in published work. Without skilled users, the UK’s substantial investment in these analytical facilities is wasted, and both academic research and industrial applications suffer. If the course succeeds, a new generation of researchers will be able to design their own analytical protocols, model X-ray generation in samples, and calculate statistical errors. This matters beyond academia: industry relies on these techniques for tasks such as analysing critical metals and forensic mineral identification. Government facilities also depend on trained operators. The course will help restore national capability in a technique that underpins fields from geoscience to materials science, ensuring that published data is trustworthy and that the UK retains a skilled workforce for both public and private sector needs.

View original technical description
We are applying to run a short course in application of quantitative X-ray microanalysis (QXRM) techniques for PhD students and early career researchers (ECRs) in Earth and Environmental Science. It is based on several previously successful NERC sponsored courses, most recently in 2023 which this course largely repeats. It consists of a 3.5 day taught unit in the Electron Microbeam Laboratories of the School of Earth Sciences, University of Bristol, and then followed by part 2 where each participant has 2 days of one-to-one hands-on instruction in the analytical laboratories at one of Earth Science schools in Bristol, Leeds, Oxford, Cambridge or Manchester depending on the particpants' location in the UK. We will accommodate 25 students and ECRs on the course. Selection of applicants is based on evaluation by members of the course team of a brief proposal anonymised other than identifying the funding source where priority is given to NERC and other UKRI research council funded people. QXRM methods are, by their nature, complex and require users to possess a significant degree of training if the full advantages of these techniques are to be realised. UKRI, and NERC in particular, have significant investment in QXRM facilities including in this application’s host institutions. We recognise an urgent need to train the next generation of Earth and material scientists partly driven by the lingering effects of COVID on a cohort of PhD candidates, and subsequently ECRs, who missed significant on-instrument training opportunities with a consequent impact on their productivity. This results in a significant depreciation of national capability, both in terms of users who have can produce high-quality data and also end-users of published data who require an ability to interpret and filter out poor data. Importantly, there is a demand from industry for trained users, with SEM/EPMA techniques hosted by both government (e.g AWE, Aldermaston) facilities and private industry (e.g. Johnson Matthey for critical metals analyses). Furthermore, the advent of rapid mineral modal analyses via electron microscope-based systems has been widely adopted by both industrial (e.g. mining and forensic) and academic organisations. We recognise six primary training outcomes are: 1) Students will be able to demonstrate an understanding of the fundamental physical principles of QXRM; 2)Students will be able to design their own analytical protocols and apply to a range of multi-disciplinary projects, 3) Students will be able to model the X-ray generation within samples using complex simulation software, 4)Students can perform post-processing operations on both mapping and quantitative data, 5)Students can calculate statistical parameters, of errors and homogeneity of sample analyses; 6)Students will have an understanding of the broad applications of SEM/EPMA in industry (skill 5). In addition to the identified skills gaps, applications of QXRM cover many expanding fields of NERC’s wider science remit beyond the more conventional geosciences and indeed several other areas outside the NERC remit.

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Researchers

Ben Buse (Co-Investigator)Iris Buisman (Co-Investigator)Jon Fellowes (Co-Investigator)Jon Wade (Co-Investigator)Richard Walshaw (Co-Investigator)Stuart Kearns (Principal Investigator)

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Original classification

Research and Innovation

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