Contact Dr Hannah Moore
- Email: H.E.Moore@cranfield.ac.uk
Hannah joined Cranfield University as a lecturer in December 2016. Hannah completed her BSc (Dual Hons) in Chemistry and Forensic Science before going on to her PhD in Analytical Chemistry applied to Forensic Entomology at Keele University. Hannah then spent a few years in industry specialising in Mass Spectrometry. During her PhD, Hannah was awarded a Winston Churchill Memorial Trust Fellowship, allowing her to travel and study with leading forensic entomologists and analytical chemists in the USA.
Hannah’s research interests heavily lie within the field of forensic entomology, specialising in cuticular hydrocarbons of forensically important insect species. The extracted hydrocarbons are analysed using gas chromatography-mass spectrometry (GC-MS) and the data from the chromatogram can then be subjected to statistical analysis in the form of Principal Component Analysis (PCA) or Artificial Neural Networks (ANN). The chemical profiles of the insects allow for identification (as all insects have a “fingerprint”, species-specific hydrocarbon profile) as well as the age, enabling minimum Post Mortem Intervals (PMImin) to be calculated.
Hannah also has interest in investigating the use of portable analytical techniques to aid rapid analysis of drugs and explosives in the field.
Hannah collaborates with the numerous Universities throughout the UK as well as Europe and America and also the Natural History Museum, Alecto Forensics and the Metropolitan Police.
Articles In Journals
- Moore HE & Shemilt S (2017) Cuticular hydrocarbon analysis in forensic entomology: a review, Archaeological and Environmental Forensic Science, 1 (2) 127-138.
- Moore HE, Pechal JL, Benbow ME & Drijfhout FP (2017) The potential use of cuticular hydrocarbons and multivariate analysis to age empty puparial cases of Calliphora vicina and Lucilia sericata, Scientific Reports, 7.
- Moore HE, Butcher JB, Day CR & Drijfhout FP (2017) Adult fly age estimations using cuticular hydrocarbons and Artificial Neural Networks in forensically important Calliphoridae species, Forensic Science International, 280 233-244.
- Moore HE, Butcher JB, Adam CD, Day CR & Falko PD (2016) Age estimation of Calliphora (Diptera: Calliphoridae) larvae using cuticular hydrocarbon analysis and Artificial Neural Networks, Forensic Science International, 268 (November) 81-91.
- Musah RA, Espinoza EO, Cody RB, Lesiak AD, Christensen ED, Moore HE, Maleknia S & Drijfhout FP (2015) A High Throughput Ambient Mass Spectrometric Approach to Species Identification and Classification from Chemical Fingerprint Signatures, Scientific Reports, 5 Article No. 11520.
- Moore HE, Adam CD & Drijfhout FP (2014) Identifying 1st instar larvae for three forensically important blowfly species using “fingerprint” cuticular hydrocarbon analysis, Forensic Science International, 240 48-53.
- Pechal JL, Moore HE, Drijfhout F & Benbow ME (2014) Hydrocarbon profiles throughout adult Calliphoridae aging: A promising tool for forensic entomology, Forensic Science International, 245 65-71.
- Butcher JB, Moore HE, Day CR, Adam CD & Drijfhout FP (2013) Artificial neural network analysis of hydrocarbon profiles for the ageing of Lucilia sericata for post mortem interval estimation, Forensic Science International, 232 (1-3) 25-31.
- Moore HE, Adam CD & Drijfhout FP (2013) Potential use of hydrocarbons for aging Lucilia sericata blowfly larvae to establish the postmortem interval., Journal of Forensic Sciences, 58 (2) 404-412.
- Moore HE & Drijfhout FP (2015) Surface Hydrocarbons as min-PMI Indicators. Fit for Purpose?. In: Forensic Entomology: International Dimensions and Frontiers. Jeffery Keith Tomberlin, M. Eric Benbow (ed.), Boca Raton, FL: CRC, p. 361-379. Dataset/s: DOI: 10.1201/b18156-34