Ligand-Capped Ultrapure Metal Nanoparticle Sensors for the Detection of Cutaneous Leishmaniasis Disease in Exhaled Breath.
Tesfalem Geremariam WelearegayMohamed Fethi DiouaniLars ÖsterlundFlorina IonescuKamel BelgacemHanen SmadhiSamira KhaledAbdelhamid KidarUmut CindemirDhafer LaouiniRadu IonescuPublished in: ACS sensors (2018)
Human cutaneous leishmaniasis, although designated as one of the most neglected tropical diseases, remains underestimated due to its misdiagnosis. The diagnosis is mainly based on the microscopic detection of amastigote forms, isolation of the parasite, or the detection of Leishmania DNA, in addition to its differential clinical characterization; these tools are not always available in routine daily practice, and they are expensive and time-consuming. Here, we present a simple-to-use, noninvasive approach for human cutaneous leishmaniasis diagnosis, which is based on the analysis of volatile organic compounds in exhaled breath with an array of specifically designed chemical gas sensors. The study was realized on a group of n = 28 volunteers diagnosed with human cutaneous leishmaniasis and a group of n = 32 healthy controls, recruited in various sites from Tunisia, an endemic country of the disease. The classification success rate of human cutaneous leishmaniasis patients achieved by our sensors test was 98.2% accuracy, 96.4% sensitivity, and 100% specificity. Remarkably, one of the sensors, based on CuNPs functionalized with 2-mercaptobenzoxazole, yielded 100% accuracy, 100% sensitivity, and 100% specificity for human cutaneous leishmaniasis discrimination. While AuNPs have been the most extensively used in metal nanoparticle-ligand sensing films for breath sensing, our results demonstrate that chemical sensors based on ligand-capped CuNPs also hold great potential for breath volatile organic compounds detection. Additionally, the chemical analysis of the breath samples with gas chromatography coupled to mass spectrometry identified nine putative breath biomarkers for human cutaneous leishmaniasis.
Keyphrases
- endothelial cells
- mass spectrometry
- induced pluripotent stem cells
- pluripotent stem cells
- gas chromatography
- end stage renal disease
- healthcare
- machine learning
- chronic kidney disease
- ejection fraction
- risk assessment
- liquid chromatography
- newly diagnosed
- real time pcr
- high resolution
- deep learning
- peritoneal dialysis
- tandem mass spectrometry
- circulating tumor
- patient reported outcomes
- quality improvement