Critical review of the green comprehensive utilization of NMFs-WPCBs: Efficient separation and clean recovery of bromine resources DOI

Xi-guang Li,

Chun-chen Nie,

Gu-yue Li

et al.

Separation and Purification Technology, Journal Year: 2024, Volume and Issue: unknown, P. 130816 - 130816

Published: Nov. 1, 2024

Language: Английский

Bacterial biofilm-based bioleaching: Sustainable mitigation and potential management of e-waste pollution DOI
Krishnamurthy Mathivanan, Ruiyong Zhang,

Jayaraman Uthaya Chandirika

et al.

Waste Management, Journal Year: 2024, Volume and Issue: 193, P. 221 - 236

Published: Dec. 12, 2024

Language: Английский

Citations

1

Quantitative Analysis of Pb in Soil Using Laser-Induced Breakdown Spectroscopy Based on Signal Enhancement of Conductive Materials DOI Creative Commons

Shefeng Li,

Q. Zheng, Xiaodan Liu

et al.

Molecules, Journal Year: 2024, Volume and Issue: 29(15), P. 3699 - 3699

Published: Aug. 5, 2024

Studying efficient and accurate soil heavy-metal detection technology is of great significance to establishing a modern system for monitoring pollution, early warning risk assessment, which contributes the continuous improvement quality assurance food safety. Laser-induced breakdown spectroscopy (LIBS) considered be an emerging effective tool detection, compared with traditional technologies. Limited by matrix effect, LIBS signal target elements prone interference, thereby compromising accuracy quantitative detection. Thus, series signal-enhancement methods are investigated. This study aims explore effect conductive materials NaCl graphite on lead (Pb) in using LIBS, seeking find reliable method determination elements. The impact addition amount spectral intensity parameters, including signal-to-background ratio (SBR), signal-to-noise (SNR), relative standard deviation (RSD), were investigated, mechanism enhancement based analysis three-dimensional profile data ablation craters plasma parameters (plasmatemperature electron density) explored. Univariate multivariate models partial least-squares regression (PLSR), support vector machine (LS-SVM), extreme learning (ELM) developed Pb optimal graphite, performance was further compared. PLSR model obtained best prediction performance, Rp that reached 0.994. In addition, among three lines Pb, univariate I 405.78 nm showed 0.984 lowest LOD 26.142 mg/kg. overall results indicated combined appropriate chemometric could potential provide reference environmental monitoring.

Language: Английский

Citations

0

Critical review of the green comprehensive utilization of NMFs-WPCBs: Efficient separation and clean recovery of bromine resources DOI

Xi-guang Li,

Chun-chen Nie,

Gu-yue Li

et al.

Separation and Purification Technology, Journal Year: 2024, Volume and Issue: unknown, P. 130816 - 130816

Published: Nov. 1, 2024

Language: Английский

Citations

0