Dataset for Microbial Degradation of Cable PVC Insulation: Metagenomic Sequencing, Fungal Strain Identification, FTIR, and XPS Data
Description
This dataset contains primary experimental data from a study investigating the microbial degradation mechanisms of PVC power cable insulation materials. The dataset includes: 1. Metagenomic Sequencing Data: High-throughput sequencing raw/processed data used to analyze the microbial community structure on contaminated substation cable surfaces and identify dominant fungal species (specifically Curvularia lunata). 2. Fungal Strain Identification Data: Sanger sequencing (Sanger/ITS rDNA region) raw and assembled sequence data of the isolated functional strain Curvularia lunata B3, including PCR amplification gel images and NCBI BLAST alignment results, confirming the taxonomic identity of the pure isolate. 3. FTIR Spectroscopy Data: Fourier-transform infrared spectroscopy spectra of secondary cable samples before and after fungal inoculation with Curvularia lunata B3, used to evaluate chemical functional group changes (e.g., oxidation and dechlorination). 4. XPS Spectra Data: X-ray photoelectron spectroscopy measurement files documenting surface chemical state alterations, including C-Cl bond reduction and oxygen-containing functional group emergence on cable insulation. These data support the physical, chemical, and biological analysis of fungal-induced cable insulation deterioration and provide empirical evidence for power equipment failure analysis and protective strategy development.
Files
Steps to reproduce
1. Sample Collection & Metagenomic Sequencing: Microbial DNA was extracted from contaminated cable surfaces using the DNeasy PowerSoil Pro Kit. Libraries were constructed with the NEBNext Ultra DNA Library Prep Kit and sequenced on an Illumina NovaSeq 6000 platform (2×150 bp). Raw reads were quality-filtered (fastp v0.23.2), deduplicated, normalized, and taxonomically annotated against the NCBI NT database using Kraken2 to identify dominant species including Curvularia lunata. 2. Isolation and Molecular Identification of Fungal Strain B3: Genomic DNA of the pure fungal isolate B3 was extracted using a plant/fungal DNA extraction kit. The internal transcribed spacer (ITS) region was amplified by PCR using universal primers ITS1 (5'-TCCGTAGGTGAACCTGCGG-3') and ITS4 (5'-TCCTCCGCTTATTGATATGC-3'). PCR products were verified by 1% agarose gel electrophoresis and submitted for Sanger sequencing. Sequence contigs were assembled and queried against the NCBI GenBank nucleotide database via BLASTn to confirm strain identity (100% identity to Curvularia lunata). 3. Artificial Inoculation & Exposure: PVC cable insulation samples were prepared into uncontaminated controls and experimental groups inoculated with Curvularia lunata B3, followed by a controlled incubation period of six months. 4. Spectroscopic Characterization: (1) FTIR Analysis: Ethanol-cleaned samples were analyzed via ATR-FTIR (NEXUS 670) from 4000 to 400 cm⁻¹ (4 cm⁻¹ resolution, 32 scans). Spectra were baseline-corrected, C-H normalized, and Gaussian peak-fitted to assess functional group changes. (2) XPS Analysis: Samples were analyzed using an AXIS Supra XPS (Al Kα, 1486.6 eV) under UHV. Wide survey scans (160 eV pass energy) and high-resolution scans (20 eV pass energy) for C, O, and Cl were acquired, with binding energies calibrated to C 1s at 284.8 eV.
Institutions
- Sichuan UniversitySichuan, Chengdu