Optimizing the quantitative analysis of solid biomass fuel properties using laser induced breakdown spectroscopy (LIBS) coupled with a kernel partial least squares (KPLS) model-Reference-Cited by-同舟云学术

Optimizing the quantitative analysis of solid biomass fuel properties using laser induced breakdown spectroscopy (LIBS) coupled with a kernel partial least squares (KPLS) model

Published:2021 Issue:45 Volume:13 Page:5467-5477
ISSN:1759-9660
Container-title:Analytical Methods
language:en
Short-container-title:Anal. Methods

Author:

Jiang Yuan¹²,Lu Zhimin¹²,Chen Xiaoxuan³,Yu Ziyu¹²,Qin Huaiqing¹²,Chen Jinzheng¹²,Lu Jidong¹²^ORCID,Yao Shunchun¹²^ORCID

Affiliation:

1. School of Electric Power, South China University of Technology, Guangzhou, Guangdong, 510640, China

2. Guangdong Province Key Laboratory of Efficient and Clean Energy Utilization, Guangzhou, Guangdong, 510640, China

3. Guangdong Institute of Special Equipment Inspection and Research Shunde Branch, Foshan, Guangdong, 528300, China

Abstract

A KPLS method combined with LIBS data reflects the non-linear relationships between LIBS spectra and the fuel property index being predicted.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Guangdong Province

Fundamental Research Funds for the Central Universities

Publisher

Royal Society of Chemistry (RSC)

Subject

General Engineering,General Chemical Engineering,Analytical Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2021/AY/D1AY01639C

Reference63 articles.

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3. Coal analysis by laser-induced breakdown spectroscopy: a tutorial review

4. Sources of Biomass Feedstock Variability and the Potential Impact on Biofuels Production

5. Online X-ray Fluorescence (XRF) Analysis of Heavy Metals in Pulverized Coal on a Conveyor Belt

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