Highly accurate classification of biological spores by culture medium for forensic attribution using multiple chemical signature types and machine learning-Reference-Cited by-同舟云学术

Highly accurate classification of biological spores by culture medium for forensic attribution using multiple chemical signature types and machine learning

Published:2020-04-23 Issue:18 Volume:412 Page:4287-4299
ISSN:1618-2642
Container-title:Analytical and Bioanalytical Chemistry
language:en
Short-container-title:Anal Bioanal Chem

Author:

Ippoliti Paul,Nargi Fran,Han Jason,Casale Amanda,Walsh Matthew,Boettcher Tara,Dettman Josh

Publisher

Springer Science and Business Media LLC

Subject

Biochemistry,Analytical Chemistry

Link

https://link.springer.com/content/pdf/10.1007/s00216-020-02660-2.pdf

Reference39 articles.

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3. Kreuzer-Martin HW, Lott MJ, Dorigan J, Ehleringer JR. Microbe forensics: oxygen and hydrogen stable isotope ratios in Bacillus subtilis cells and spores. Proc Natl Acad Sci USA. 2003;100(3):815–9.

4. Rieck VT, Palumbo SA, Witter LD. Glucose availability and growth-rate of colonies of Pseudomonas fluorescens. J Gen Microbiol. 1973;74(Jan):1–8.

5. Ehrhardt CJ, Chu V, Brown T, Simmons TL, Swan BK, Bannan J, et al. Use of fatty acid methyl ester profiles for discrimination of Bacillus cereus T-strain spores grown on different media. Appl Environ Microbiol. 2010;76(6):1902–12.

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