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Chemosensors
Special Issues
Application of Laser-Induced Breakdown Spectroscopy, 3rd Edition
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Application of Laser-Induced Breakdown Spectroscopy, 3rd Edition

A special issue of Chemosensors (ISSN 2227-9040). This special issue belongs to the section "Analytical Methods, Instrumentation and Miniaturization".

Deadline for manuscript submissions: 30 December 2026 | Viewed by 711

Editor

Prof. Dr. Zhe Wang

E-Mail Website
Guest Editor
Department of Energy and Power Engineering, Tsinghua University, Beijing 10084, China
Interests: LIBS; quantitative analysis
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

I am delighted to organize a Special Issue in the Chemosensors journal, titled “Application of Laser-Induced Breakdown Spectroscopy, 3rd Edition”. The main purpose of this Special Issue is to report on the recent progress made in the application of LIBS in different fields to provide a clearer picture of how this technology should be developed in the future and to show its importance to those interested in elementary chemical analysis.

Our previous Special Issues, “Application of Laser-Induced Breakdown Spectroscopy” and “Application of Laser-Induced Breakdown Spectroscopy, 2nd Edition”, have successfully published 13 papers and 10 papers, respectively. We hope that more scholars will take note of the third edition of this Special Issue and contribute their valuable research. Any interesting applications with unique facility design, quantification methods, an understanding of improvement, and successful demonstration are welcome.

Prof. Dr. Zhe Wang
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Chemosensors is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • LIBS
  • laser-induced breakdown spectroscopy
  • quantitative analysis
  • qualitative analysis
  • classification
  • application

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Published Papers (1 paper)

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Research

18 pages, 4579 KB  
Article
Ensemble Learning Combined with Laser-Induced Breakdown Spectroscopy for Detecting Pesticide Residues in Xinhui Dried Tangerine Peel
by Wenhao Bi, Dongxin Shi, Feifei Wang, Yuxiao Song, Jing Sun and Chenyu Jiang
Chemosensors 2026, 14(5), 116; https://doi.org/10.3390/chemosensors14050116 - 14 May 2026
Viewed by 344
Abstract
In recent years, pesticides have been widely applied in the commercial cultivation of traditional Chinese medicinal plants to increase the yield of medicinal materials. Xinhui dried tangerine peel (Citri Reticulatae Pericarpium), a common ingredient in traditional Chinese medicine, utilizes the citrus [...] Read more.
In recent years, pesticides have been widely applied in the commercial cultivation of traditional Chinese medicinal plants to increase the yield of medicinal materials. Xinhui dried tangerine peel (Citri Reticulatae Pericarpium), a common ingredient in traditional Chinese medicine, utilizes the citrus peel as its medicinal part. During cultivation, the peel is directly exposed to pesticides, making it susceptible to pesticide residue accumulation. To enable the rapid identification of pesticide types and their targeted removal, this study integrated laser-induced breakdown spectroscopy with ensemble learning algorithms. Three lightweight neural network models—1D-CNN, Res-CNN, and LIBS-UNet—were developed and trained using either a single loss function or a composite loss function. The 1D-CNN, Res-CNN, and LIBS-UNet models achieved accuracies of 97.50% and 98.69%, 95.00% and 95.73%, and 74.06% and 76.88% for the single loss and composite loss functions, respectively. During the model ensemble stage, individual models were weighted according to their classification accuracy and test similarity matrices. Through this approach, the pesticide identification accuracy reached 99.99%. This study demonstrates that ensemble learning can effectively integrate the strengths of multiple weak classifiers, thereby significantly enhancing classification performance and providing a novel approach for the rapid detection of pesticide residues in traditional Chinese medicine ingredients. Full article
(This article belongs to the Special Issue Application of Laser-Induced Breakdown Spectroscopy, 3rd Edition)
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