A primary motivation of our research is the monitoring of physical, physiological, and biochemical parameters - in any environment and without activity restriction and behaviour modification - through using miniaturised, wireless Body Sensor Networks (BSN). Key research issues that are currently being addressed include novel sensor designs, ultra-low power microprocessor and wireless platforms, energy scavenging, biocompatibility, system integration and miniaturisation, processing-on-node technologies combined with novel ASIC design, autonomic sensor networks and light-weight communication protocols. Our research is aimed at addressing the future needs of life-long health, wellbeing and healthcare, particularly those related to demographic changes associated with an ageing population and patients with chronic illnesses. This research theme is therefore closely aligned with the IGHI’s vision of providing safe, effective and accessible technologies for both developed and developing countries.

Some of our latest works were exhibited at the 2015 Royal Society Summer Science Exhibition.


Citation

BibTex format

@article{Cameron:2019:10.1038/s41598-019-39815-w,
author = {Cameron, SJS and Bodai, Z and Temelkuran, B and Perdones-Montero, A and Bolt, F and Burke, A and Alexander-Hardiman, K and Salzet, M and Fournier, I and Rebec, M and Takáts, Z},
doi = {10.1038/s41598-019-39815-w},
journal = {Scientific Reports},
title = {Utilisation of Ambient Laser Desorption Ionisation Mass Spectrometry (ALDI-MS) improves lipid-based microbial species level identification},
url = {http://dx.doi.org/10.1038/s41598-019-39815-w},
volume = {9},
year = {2019}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - The accurate and timely identification of the causative organism of infection is important in ensuring the optimum treatment regimen is prescribed for a patient. Rapid evaporative ionisation mass spectrometry (REIMS), using electrical diathermy for the thermal disruption of a sample, has been shown to provide fast and accurate identification of microorganisms directly from culture. However, this method requires contact to be made between the REIMS probe and microbial biomass; resulting in the necessity to clean or replace the probes between analyses. Here, optimisation and utilisation of ambient laser desorption ionisation (ALDI) for improved speciation accuracy and analytical throughput is shown. Optimisation was completed on 15 isolates of Escherichia coli, showing 5 W in pulsatile mode produced the highest signal-to-noise ratio. These parameters were used in the analysis of 150 clinical isolates from ten microbial species, resulting in a speciation accuracy of 99.4% - higher than all previously reported REIMS modalities. Comparison of spectral data showed high levels of similarity between previously published electrical diathermy REIMS data. ALDI does not require contact to be made with the sample during analysis, meaning analytical throughput can be substantially improved, and further, increases the range of sample types which can be analysed in potential direct-from-sample pathogen detection.
AU - Cameron,SJS
AU - Bodai,Z
AU - Temelkuran,B
AU - Perdones-Montero,A
AU - Bolt,F
AU - Burke,A
AU - Alexander-Hardiman,K
AU - Salzet,M
AU - Fournier,I
AU - Rebec,M
AU - Takáts,Z
DO - 10.1038/s41598-019-39815-w
PY - 2019///
SN - 2045-2322
TI - Utilisation of Ambient Laser Desorption Ionisation Mass Spectrometry (ALDI-MS) improves lipid-based microbial species level identification
T2 - Scientific Reports
UR - http://dx.doi.org/10.1038/s41598-019-39815-w
UR - https://www.ncbi.nlm.nih.gov/pubmed/30816263
UR - http://hdl.handle.net/10044/1/67928
VL - 9
ER -