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 1354

Editor


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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

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Keywords

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

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Published Papers (2 papers)

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Research

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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 475
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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Review

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31 pages, 24757 KB  
Review
Transformative Impacts of Laser-Induced Breakdown Spectroscopy on Environmental and Biological Research at Oak Ridge National Laboratory
by Madhavi Martin
Chemosensors 2026, 14(7), 146; https://doi.org/10.3390/chemosensors14070146 - 26 Jun 2026
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Abstract
This manuscript will present an advancement of transformative research that has been conducted at Oak Ridge National Laboratory (ORNL) over a 25-year period (2000–2025) on a variety of environmental and biological matrices. These investigations derived a fundamental understanding of how elemental detection and [...] Read more.
This manuscript will present an advancement of transformative research that has been conducted at Oak Ridge National Laboratory (ORNL) over a 25-year period (2000–2025) on a variety of environmental and biological matrices. These investigations derived a fundamental understanding of how elemental detection and analysis of these matrices led to the knowledge and discovery of natural processes in plants and the environment. Each project led to the initiation of a new research area which unearthed awesome and novel breakthroughs. Highlights are listed below: 1. The preliminary research at ORNL centered on the detection of aerosols utilizing Laser-induced Breakdown Spectroscopy (LIBS) technology. The Clean Air Act Amendment (CAAA) of 1990 highlighted the importance of identifying hazardous air pollutants (HAPs) due to their impact on environmental and human health, thereby underscoring the need to detect various toxic elements. Research in aerosol chemistry aimed to identify these harmful elements released by factories during periods of increased emissions in their manufacturing processes. LIBS emerged as the most effective method for real-time, in situ measurements of metal species in both gaseous and aerosol phases. 2. An understanding of the presence of total carbon in soils gives perspective on how to develop carbon sequestration strategies. The recognition that carbon sinks can evolve back to carbon sources to emit back to the atmosphere was an important consideration. Also, the concentration of carbon in soil indicates the health of land areas for growing crops successfully. 3. The direct detection of most of the elements in a wood sample in a single emission spectrum, without sample preparation, encouraged the research to use the LIBS technique for preservative treated wood coupled with use of multivariate statistical methodology. Additionally, it encouraged the researchers to try to differentiate natural woods from different parts of the country, and it was successfully demonstrated that LIBS coupled with MVA analysis could differentiate wood of different species from each other and of similar species grown in different environments based on their elemental spectra. This was a breakthrough since it revealed a systematic approach to connect elemental scarcity and abundance to either drought or typical rainfall conditions for the hardwood trees grown in specific areas. 4. Furthermore, the research progressed to reveal physiological and developmental processes contributing to biomass production such that the variation in leaf elemental composition increases our understanding of terrestrial nutrient cycles, as well as tracking the transfer of toxic elements from soils to living organisms. 5. Recently another breakthrough viz., ionomics initiated the correlation of elements to specific genes, uncovering the function that the element performed in the plant. More recently, this has been extended from plants to fungi as well as fungi growing in symbiotic relations with plants. Full article
(This article belongs to the Special Issue Application of Laser-Induced Breakdown Spectroscopy, 3rd Edition)
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