Por favor, use este identificador para citar o enlazar a este item: http://hdl.handle.net/10261/267218
COMPARTIR / EXPORTAR:
logo share SHARE logo core CORE BASE
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE

Invitar a revisión por pares abierta
Título

A predictive toolset for the identification of degradation pattern and toxic hazard estimation of multimeric hazardous compounds persists in water bodies

AutorSingh, Anil Kumar; Bilal, Muhammad; Barceló, Damià CSIC ORCID; Iqbal, Hafiz M.N.
Palabras claveToxic derivatives
Biotransformation
Chloro-lignin
Complex technical lignin
Environmental contaminants
Toxtree
Fecha de publicación10-jun-2022
EditorElsevier
CitaciónScience of the Total Environment 824: 153979 (2022)
ResumenAn array of industrial processing units generates many multimeric hazardous compounds, such as complex technical lignin and its toxic derivatives, thereby persist in expelled water bodies. The inclusion of some group of motifs in the complex technical lignin structure helps it resist degrade biologically, most often even recalcitrant. Relatively small concentrations of lignin are harmful to aquatic organisms and can trigger environmental hazards. Sadly, the entire biotransformation pathway and insightful information about these toxic derivatives are incomplete and missing in the literature. This is mainly because the current conventional treatments often fail to identify all transformed compounds and their environmental fate. Thus, a robust toolset is much needed to cover this literature gap. Inadequate performance of conventional remediation processes and biological degradation patterns can be maximally optimized with the aid of predictive toolset methods that could offer better degradability and complete transformed compound information. A predictive toolset-assisted biodegradation pattern determination is a multifaceted and reliable analytical technique that can help to overcome existing shortcomings by providing an entire transformation pathway. Considering the above critiques, this work reports on the degradation pattern, and toxicological endpoints of five hazardous compounds, i.e., 2-chlorosyringaldehyde, 5-chlorovanillin, catechol, guaiacyl 4-O-5 guaiacyl, and syringyl β-O-4 syringyl β-O-4 sinapyl alcohol, that persists in water matrices. The predictive transformation pattern was revealed notably less complex end-products of catechol as; succinate, and 2-Oxo-4-pentenoate. The gastrointestinal (GI) absorption rate was found high for all tested compounds, excluding trimer compound, i.e., syringyl β-O-4 syringyl β-O-4 sinapyl alcohol. The toxicity and persistence profile tested via Toxtree showed that the Cramer Rules, Verhaar Scheme, and Structural Alerts for Reactivity, (START) biodegradation ability as positive, and all five target compounds were found as class-II persistent compounds. Furthermore, the Ecological Structure-Activity Relationships (ECOSAR)assisted testing specifies that all tested derivatives have multiple aquatic toxic levels. In summary, the current findings endorse the hazardous compounds and undertake prescreening of the deprivation policy to protect the environment.
Versión del editorhttps://doi.org/10.1016/j.scitotenv.2022.153979Get
URIhttp://hdl.handle.net/10261/267218
DOI10.1016/j.scitotenv.2022.153979
ISSN00489697
Aparece en las colecciones: (IDAEA) Artículos

Ficheros en este ítem:
Fichero Descripción Tamaño Formato Existing users please Login
Hafiz.Indian paper stoten.pdfArtículo principal1,31 MBAdobe PDFEmbargoed until 22 de junio de 2024    Petición de una copia
Mostrar el registro completo

CORE Recommender

PubMed Central
Citations

1
checked on 19-abr-2024

SCOPUSTM   
Citations

10
checked on 20-abr-2024

WEB OF SCIENCETM
Citations

8
checked on 28-feb-2024

Page view(s)

67
checked on 23-abr-2024

Google ScholarTM

Check

Altmetric

Altmetric


Artículos relacionados:


NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.