Pollution risk estimation of the Cu element in atmospheric sedimentation samples by laser induced breakdown spectroscopy (LIBS) combined with random forest (RF)-Reference-Cited by-同舟云学术

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Pollution risk estimation of the Cu element in atmospheric sedimentation samples by laser induced breakdown spectroscopy (LIBS) combined with random forest (RF)

Published:2021 Issue:30 Volume:13 Page:3424-3432
ISSN:1759-9660
Container-title:Analytical Methods
language:en
Short-container-title:Anal. Methods

Author:

Feng Ting¹²³⁴⁵,Zhang Xin¹²³⁴⁵,Li Maogang¹²³⁴⁵,Chen Tingting¹²³⁴⁵,Jiao Long⁶⁷⁴⁵,Xu Yanyan¹²³⁴⁵,Tang Hongsheng¹²³⁴⁵,Zhang Tianlong¹²³⁴⁵^ORCID,Li Hua¹²³⁴⁵^ORCID

Affiliation:

1. Key Laboratory of Synthetic and Natural Functional Molecule of the Ministry of Education

2. College of Chemistry & Materials Science

3. Northwest University

4. Xi'an

5. China

6. College of Chemistry and Chemical Engineering

7. Xi'an Shiyou University

Abstract

LIBS combined with RF was proposed to estimate the pollution risk of the Cu element in atmospheric sedimentation samples.

Funder

National Natural Science Foundation of China

Education Department of Shaanxi Province

Publisher

Royal Society of Chemistry (RSC)

Subject

General Engineering,General Chemical Engineering,Analytical Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2021/AY/D1AY00879J

Reference45 articles.

1. Microscopic morphology and seasonal variation of health effect arising from heavy metals in PM2.5 and PM10: One-year measurement in a densely populated area of urban Beijing

2. Data Fusion of Raman and Near-Infrared Spectroscopies for the Rapid Quantitative Analysis of Methanol Content in Methanol–Gasoline

3. Estimating light-duty vehicles' contributions to ambient PM2.5 and PM10 at a near-highway urban elementary school via elemental characterization emphasizing rhodium, palladium, and platinum

4. In-vitro human lung cell injuries induced by urban PM2.5 during a severe air pollution episode: Variations associated with particle components

5. Real-time measurement and source apportionment of elements in Delhi's atmosphere

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1. Machine learning in laser-induced breakdown spectroscopy: A review;Frontiers of Physics;2024-07-12

2. Rapid quantitative analysis of multiple rare earth elements in NdFeB alloys based on laser-induced breakdown spectroscopy (LIBS) and random forest (RF);Spectrochimica Acta Part B: Atomic Spectroscopy;2024-07

3. On-line vacuum degree monitoring of vacuum circuit breakers based on laser-induced breakdown spectroscopy combined with random forest algorithm;Journal of Analytical Atomic Spectrometry;2024

4. Rapid Quantitative Analysis of Multiple Rare Earth Elements In Ndfeb Alloys Based on Laser-Induced Breakdown Spectroscopy (Libs) And Random Forest (Rf);2024

5. Enhanced Accuracy for the Determination of Chromium in Steel by Laser-Induced Breakdown Spectroscopy (LIBS) and Extreme Random Tree (ERT);Analytical Letters;2023-11-03

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