ArticleJournal of chromatography. B, Analytical technologies in the biomedical and life sciences2018
The volatile molecular profiles of seven Streptococcus pneumoniae serotypes.
Article in Journal of chromatography. B, Analytical technologies in the biomedical and life sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
4 citing papers in PubMed.
- Exploratory analysis of exhaled volatile organic compounds for binary discrimination between lung cancer, pneumonia, and healthy controls using machine learning.Frontiers in medicine · 2026Article
- Crafting Contours: A Comprehensive Guide to Scrotal Reconstruction.Life (Basel, Switzerland) · 2024Review
- The Respiratory Microbiome in Paediatric Chronic Wet Cough: What Is Known and Future Directions.Journal of clinical medicine · 2023Review
- Topical odour management in burn patients.Burns & trauma · 2021Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
In this study, the volatile molecule profile of Streptococcus pneumoniae serotypes was evaluated using solid phase microextraction (SPME) and two dimensional gas chromatography time-of-flight mass spectrometry (GC × GC-TOFMS). Here, seven serotypes (6B, 14, 15, 18C, 19F, 9V, and 23F) were analyzed in an isogenic background. We identified 13 core molecules associated with all seven serotypes, and seven molecules that were differentially produced between serotypes. Serotype 14 was found to have the most distinct volatile profile, and could be discriminated from the other six serotypes in aggregate with an area under the curve (AUC) of 89%. This study suggests that molecules from S. pneumoniae culture headspace show potential for rapid serotype identification.
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