ArticleScientific reports2017
Fast detection of tobacco mosaic virus infected tobacco using laser-induced breakdown spectroscopy.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 60 citations in OpenAlex.
- Changes in Soil Fungal Communities Following Exogenously Added Tobacco Mosaic Virus Disease.Current microbiology · 2026Article
- From Fundamentals of Laser-Induced Breakdown Spectroscopy to Recent Advancements in Cancer Detection and Calcified Tissues Analysis: An Overview (2015-2025).Molecules (Basel, Switzerland) · 2025Review
- Transcriptional responses and secondary metabolites variation of tomato plant in response to tobacco mosaic virus infestation.Scientific reports · 2024Article
- Antiviral Activity of Biosynthesized Silver Nanoparticles from Pomegranate (Plants (Basel, Switzerland) · 2023Article
- Agarose Film-Based Liquid-Solid Conversion for Heavy Metal Detection of Water Samples by Laser-Induced Breakdown Spectroscopy.Molecules (Basel, Switzerland) · 2023Article
- Article
- Induction of Systemic Resistance toViruses · 2022Article
- Isolation of Tobacco Mosaic Virus-Binding Peptides for Biotechnology Applications.Chembiochem : a European journal of chemical biology · 2022Article
- Detection of plant virus particles with a capacitive field-effect sensor.Analytical and bioanalytical chemistry · 2021Article
- Onsite real-time detection of covid-like-virus transmission through air using spark-induced plasma spectroscopy.The Science of the total environment · 2021Article
- Methodology for the Implementation of Internal Standard to Laser-Induced Breakdown Spectroscopy Analysis of Soft Tissues.Sensors (Basel, Switzerland) · 2021Article
- Application of Laser-Induced Breakdown Spectroscopy Coupled With Spectral Matrix and Convolutional Neural Network for Identifying Geographical Origins ofFrontiers in artificial intelligence · 2021Article
- Fast Classification of Geographical Origins of Honey Based on Laser-Induced Breakdown Spectroscopy and Multivariate Analysis.Sensors (Basel, Switzerland) · 2020Article
- Quantitative Analysis of Nutrient Elements in Soil Using Single and Double-Pulse Laser-Induced Breakdown Spectroscopy.Sensors (Basel, Switzerland) · 2018Article
- Comparative Study of the Detection of Chromium Content in Rice Leaves by 532 nm and 1064 nm Laser-Induced Breakdown Spectroscopy.Sensors (Basel, Switzerland) · 2018Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Tobacco mosaic virus (TMV) is one of the most devastating viruses to crops, which can cause severe production loss and affect the quality of products. In this study, we have proposed a novel approach to discriminate TMV-infected tobacco based on laser-induced breakdown spectroscopy (LIBS). Two different kinds of tobacco samples (fresh leaves and dried leaf pellets) were collected for spectral acquisition, and partial least squared discrimination analysis (PLS-DA) was used to establish classification models based on full spectrum and observed emission lines. The influences of moisture content on spectral profile, signal stability and plasma parameters (temperature and electron density) were also analysed. The results revealed that moisture content in fresh tobacco leaves would worsen the stability of analysis, and have a detrimental effect on the classification results. Good classification results were achieved based on the data from both full spectrum and observed emission lines of dried leaves, approaching 97.2% and 88.9% in the prediction set, respectively. In addition, support vector machine (SVM) could improve the classification results and eliminate influences of moisture content. The preliminary results indicate that LIBS coupled with chemometrics could provide a fast, efficient and low-cost approach for TMV-infected disease detection in tobacco leaves.
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