Deciphering the impact of microenvironmental factors on Cuticular hydrocarbon degradation in Lucilia sericata empty Puparia: Bridging ecological and forensic entomological perspectives using machine learning models.

Alkanes Blowfly Degradation dynamics Environmental monitoring MLP SVM XGBoost

Journal

The Science of the total environment
ISSN: 1879-1026
Titre abrégé: Sci Total Environ
Pays: Netherlands
ID NLM: 0330500

Informations de publication

Date de publication:
01 Jan 2024
Historique:
received: 11 08 2023
revised: 23 12 2023
accepted: 25 12 2023
medline: 4 1 2024
pubmed: 4 1 2024
entrez: 3 1 2024
Statut: aheadofprint

Résumé

Blow flies (Calliphoridae) play essential ecological roles in nutrient recycling by consuming decaying organic matter. They serve as valuable bioindicators in ecosystem management and forensic entomology, with their unique feeding behavior leading to the accumulation of environmental pollutants in their cuticular hydrocarbons (CHCs), making them potential indicators of exposure history. This study focuses on CHC degradation dynamics in empty puparia of Lucilia sericata under different environmental conditions for up to 90 days. The three distinct conditions were considered: outdoor-buried, outdoor-above-ground, and indoor environments. Five predominant CHCs, n-Pentacosane (n-C25), n-Hexacosane (n-C26), n-Heptacosane (n-C27), n-Octacosane (n-C28), and n-Nonacosane (n-C29), were analyzed using Gas Chromatography-Mass Spectrometry (GC-MS). The findings revealed variations in CHC concentrations over time, influenced by environmental factors, with significant differences at different time points. Correlation heatmap analysis indicated negative correlations between weathering time and certain CHCs, suggesting decreasing concentrations over time. Machine learning techniques Support Vector Machine (SVM), Multilayer Perceptron (MLP), and eXtreme Gradient Boosting (XGBoost) models explored the potential of CHCs as age indicators. SVM achieved an R-squared value of 0.991, demonstrating high accuracy in age estimation based on CHC concentrations. MLP also exhibited satisfactory performance in outdoor conditions, while SVM and MLP yielded unsatisfactory results indoors due to the lack of significant CHC variations. After comprehensive model selection and performance evaluations, it was found that the XGBoost model excelled in capturing the patterns in all three datasets. This study bridges the gap between baseline and ecological/forensic use of empty puparia, offering valuable insights into the potential of CHCs in environmental monitoring and investigations. Understanding CHCs' stability and degradation enhances blow flies' utility as bioindicators for pollutants and exposure history, benefiting environmental monitoring and forensic entomology.

Identifiants

pubmed: 38171456
pii: S0048-9697(23)08349-3
doi: 10.1016/j.scitotenv.2023.169719
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

169719

Informations de copyright

Copyright © 2023. Published by Elsevier B.V.

Auteurs

Swaima Sharif (S)

Institute of Legal Medicine, Forensic Biology, University Hospital, Goethe University, Frankfurt am Main, Germany. Electronic address: swaimasharif@gail.com.

Cora Wunder (C)

Institute of Legal Medicine, Forensic Biology, University Hospital, Goethe University, Frankfurt am Main, Germany. Electronic address: wunder@uni-mainz.de.

Jens Amendt (J)

Institute of Legal Medicine, Forensic Biology, University Hospital, Goethe University, Frankfurt am Main, Germany. Electronic address: amendt@em.uni-frankfurt.de.

Ayesha Qamar (A)

Section of Entomology, Department of Zoology, Aligarh Muslim University, Aligarh 202002, U.P., India. Electronic address: ayesha.zoology@gmail.com.

Classifications MeSH