Pilot study: Machine learning-assisted identification of phylum-level microbiome signatures across advanced wastewater treatment stages

Xudong Liu; Karna Ramachandraiah; Gabi Hitti; Qingyu Zhou; Alya Limayem

doi:10.1016/j.jece.2026.124048

Pilot study: Machine learning-assisted identification of phylum-level microbiome signatures across advanced wastewater treatment stages

Xudong Liu
, Karna Ramachandraiah
, Gabi Hitti
, Qingyu Zhou
, Alya Limayem

School of Computing

University of North Florida
University of South Florida Health
University of South Florida, Tampa

Producción científica: Article › revisión exhaustiva

Idioma original	English
Número de artículo	124048
Publicación	Journal of Environmental Chemical Engineering
Volumen	14
N.º	5
DOI	https://doi.org/10.1016/j.jece.2026.124048
Estado	Published - oct 2026

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

Clean water and sanitation

ASJC Scopus Subject Areas

Chemical Engineering (miscellaneous)
General Chemical Engineering
Environmental Science (miscellaneous)
Waste Management and Disposal
Pollution
General Engineering
Process Chemistry and Technology

Acceder al documento

10.1016/j.jece.2026.124048

Otros archivos y enlaces

Citar esto

@article{544c431b0af649f99a8ae5c9204ea4a7,

title = "Pilot study: Machine learning-assisted identification of phylum-level microbiome signatures across advanced wastewater treatment stages",

keywords = "16S rRNA gene sequencing, Data-driven analysis, Machine learning, Wastewater treatment, Microbiome signatures, Phylum-level microbiome, Wastewater monitoring",

author = "Xudong Liu and Karna Ramachandraiah and Gabi Hitti and Qingyu Zhou and Alya Limayem",

note = "Publisher Copyright: {\textcopyright} 2026 Elsevier Ltd.",

year = "2026",

month = oct,

doi = "10.1016/j.jece.2026.124048",

language = "English",

volume = "14",

number = "5",

}

TY - JOUR

T1 - Pilot study

T2 - Machine learning-assisted identification of phylum-level microbiome signatures across advanced wastewater treatment stages

AU - Liu, Xudong

AU - Ramachandraiah, Karna

AU - Hitti, Gabi

AU - Zhou, Qingyu

AU - Limayem, Alya

PY - 2026/10

Y1 - 2026/10

KW - 16S rRNA gene sequencing

KW - Data-driven analysis

KW - Machine learning, Wastewater treatment

KW - Microbiome signatures

KW - Phylum-level microbiome

KW - Wastewater monitoring

UR - https://www.scopus.com/pages/publications/105045437718

UR - https://www.scopus.com/pages/publications/105045437718#tab=citedBy

U2 - 10.1016/j.jece.2026.124048

DO - 10.1016/j.jece.2026.124048

M3 - Article

AN - SCOPUS:105045437718

SN - 2213-2929

VL - 14

JO - Journal of Environmental Chemical Engineering

JF - Journal of Environmental Chemical Engineering

IS - 5

M1 - 124048

ER -

Pilot study: Machine learning-assisted identification of phylum-level microbiome signatures across advanced wastewater treatment stages

ODS de las Naciones Unidas

ASJC Scopus Subject Areas

Acceder al documento

Otros archivos y enlaces

Huella

Citar esto