2021
DOI: 10.1002/advs.202100235
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Profiles of Volatile Biomarkers Detect Tuberculosis from Skin

Abstract: Tuberculosis (TB) is an infectious disease that threatens >10 million people annually. Despite advances in TB diagnostics, patients continue to receive an insufficient diagnosis as TB symptoms are not specific. Many existing biodiagnostic tests are slow, have low clinical performance, and can be unsuitable for resource‐limited settings. According to the World Health Organization (WHO), a rapid, sputum‐free, and cost‐effective triage test for real‐time detection of TB is urgently needed. This article reports on… Show more

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Cited by 40 publications
(34 citation statements)
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“…17b). 366 These findings strengthen the potential of wearable devices for detecting diseases under field conditions in a real-time mode. The patches can also be worn continuously to monitor the disease treatment and to ensure that the treatment is effective.…”
Section: Skin Volatolomicsmentioning
confidence: 56%
“…17b). 366 These findings strengthen the potential of wearable devices for detecting diseases under field conditions in a real-time mode. The patches can also be worn continuously to monitor the disease treatment and to ensure that the treatment is effective.…”
Section: Skin Volatolomicsmentioning
confidence: 56%
“…In the past 50 years, thousands of volatile biomarkers, i.e., VOCs, associated with various diseases or lesions, have been identified and classified from multi-body sources (Fig. 2) [23]. It boosts the development of this new era, volatolomics, such as human exhalation [18], skin emanations [24], urine headspace [25], blood [26], and feces [27], towards good-efficient, high-accuracy non-invasive, and painless disease diagnosis/screening.…”
Section: Introductionmentioning
confidence: 99%
“…In the second stage, the headspace of the blood samples collected from the animal models were analyzed by sensor array composed of chemiresistors based on spherical gold nanoparticles (GNPs) capped with different organic layer, and 2D random networks of single-walled carbon nanotubes (RN-SWCNTs) capped with different polymeric composites in conjugation with ML methods (see Experimental Section and Supporting Information for detailed working mechanism). [56][57][58]60,[62][63][64][65][66][67][68] The rationale behind using two different sensing surfaces is that different transducers (being based on different physical quantities) can provide orthogonal information. [58] The GNP sensors are sensitive to molecules adsorbed between adjacent nanoparticles and therefore they excel in the detection of nonpolar VOCsan important portion of the VOCs clinical samples.…”
Section: Resultsmentioning
confidence: 99%