ArticleThe Analyst2014
Identification of pathogenic fungi with an optoelectronic nose.
Article in The Analyst, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed, 64 citations in OpenAlex.
- A review on machine learning-powered fluorescent and colorimetric sensor arrays for bacteria identification.Mikrochimica acta · 2023Review
- Machine learning-based sensor array: full and reduced fluorescence data for versatile analyte detection based on gold nanocluster as a single probe.Analytical and bioanalytical chemistry · 2022Article
- Polymer-based chemical-nose systems for optical-pattern recognition of gut microbiota.Chemical science · 2022Article
- Metallic Effects on p-Hydroxyphenyl Porphyrin Thin-Film-Based Planar Optical Waveguide Gas Sensor: Experimental and Computational Studies.Nanomaterials (Basel, Switzerland) · 2022Article
- Review
- Disposable Paper-Based Biosensors for the Point-of-Care Detection of Hazardous Contaminations-A Review.Biosensors · 2021Review
- Pattern-recognition-based Sensor Arrays for Cell Characterization: From Materials and Data Analyses to Biomedical Applications.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2020Review
- Article
- Molecular Engineering of Free-Base Porphyrins as Ligands-The N-H⋅⋅⋅X Binding Motif in Tetrapyrroles.Angewandte Chemie (International ed. in English) · 2019Review
- A method for early detection and identification of fungal contamination of building materials using e-nose.PloS one · 2019Article
- Gold Nanorod-Based Chrono-Colorimetric Sensor Arrays: A Promising Platform for Chemical Discrimination Applications.ACS omega · 2018Article
- Comparative Chemometric Analysis for Classification of Acids and Bases via a Colorimetric Sensor Array.Journal of chemometrics · 2018Article
- An Improved Comparison of Chemometric Analyses for the Identification of Acids and Bases With Colorimetric Sensor Arrays.International journal of chemistry · 2018Article
- Colorimetric Sensor Arrays for the Detection and Identification of Chemical Weapons and Explosives.Critical reviews in analytical chemistry · 2017Review
- An optoelectronic nose for identification of explosives.Chemical science · 2016Article
- Differential sensing for the regio- and stereoselective identification and quantitation of glycerides.Proceedings of the National Academy of Sciences of the United States of America · 2015Article
- E-nose based rapid prediction of early mouldy grain using probabilistic neural networks.Bioengineered · 2015Article
- Chemical diversity of microbial volatiles and their potential for plant growth and productivity.Frontiers in plant science · 2015Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
Human fungal infections have gained recent notoriety following contamination of pharmaceuticals in the compounding process. Such invasive infections are a more serious global problem, especially for immunocompromised patients. While superficial fungal infections are common and generally curable, invasive fungal infections are often life-threatening and much harder to diagnose and treat. Despite the increasing awareness of the situation's severity, currently available fungal diagnostic methods cannot always meet diagnostic needs, especially for invasive fungal infections. Volatile organic compounds produced by fungi provide an alternative diagnostic approach for identification of fungal strains. We report here an optoelectronic nose based on a disposable colorimetric sensor array capable of rapid differentiation and identification of pathogenic fungi based on their metabolic profiles of emitted volatiles. The sensor arrays were tested with 12 human pathogenic fungal strains grown on standard agar medium. Array responses were monitored with an ordinary flatbed scanner. All fungal strains gave unique composite responses within 3 hours and were correctly clustered using hierarchical cluster analysis. A standard jackknifed linear discriminant analysis gave a classification accuracy of 94% for 155 trials. Tensor discriminant analysis, which takes better advantage of the high dimensionality of the sensor array data, gave a classification accuracy of 98.1%. The sensor array is also able to observe metabolic changes in growth patterns upon the addition of fungicides, and this provides a facile screening tool for determining fungicide efficacy for various fungal strains in real time.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.