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Investigating Bacterial Volatilome for the Classification and Identification of Mycobacterial Specie...

Investigating Bacterial Volatilome for the Classification and Identification of Mycobacterial Specie...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f4f14eeddd9242ceaec41d85936b39d9

Investigating Bacterial Volatilome for the Classification and Identification of Mycobacterial Species by HS-SPME-GC-MS and Machine Learning

About this item

Full title

Investigating Bacterial Volatilome for the Classification and Identification of Mycobacterial Species by HS-SPME-GC-MS and Machine Learning

Publisher

Basel: MDPI AG

Journal title

Molecules (Basel, Switzerland), 2021-07, Vol.26 (15), p.4600

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Species of Mycobacteriaceae cause disease in animals and humans, including tuberculosis and leprosy. Individuals infected with organisms in the Mycobacterium tuberculosis complex (MTBC) or non-tuberculous mycobacteria (NTM) may present identical symptoms, however the treatment for each can be different. Although the NTM infection is considered less...

Alternative Titles

Full title

Investigating Bacterial Volatilome for the Classification and Identification of Mycobacterial Species by HS-SPME-GC-MS and Machine Learning

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_f4f14eeddd9242ceaec41d85936b39d9

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f4f14eeddd9242ceaec41d85936b39d9

Other Identifiers

ISSN

1420-3049

E-ISSN

1420-3049

DOI

10.3390/molecules26154600

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