"A High Throughput Ambient Mass Spectrometric Approach to Species Identification and Classification from Chemical Fingerprint Signatures"
- Submitting institution
-
Cranfield University
- Unit of assessment
- 12 - Engineering
- Output identifier
- 16720694
- Type
- D - Journal article
- DOI
-
10.1038/srep11520
- Title of journal
- Scientific Reports
- Article number
- 11520
- First page
- -
- Volume
- ="5"
- Issue
- ="1"
- ISSN
- 2045-2322
- Open access status
- Compliant
- Month of publication
- July
- Year of publication
- 2015
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- Yes
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
7
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This research led to further collaboration with the co-inventor of the analytical instrument used in the experimental work (Principal Scientist at JEOL, USA Inc, Contact Details: Audit_file_16720694).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
