Detection of acetone via exhaling human breath for regular monitoring of diabetes by low-cost sensing device based on perovskite BaSnO3 nanorods

An MnO2-SnO2 nanocomposite-based sensing device with below lower exposure limit (0.5-2.0 vol%) for liquefied petroleum gas (LPG) is reported. The synthesized material is highly crystalline with an average crystallite size of 16.786 nm, confirmed by the X-ray diffraction (XRD). A Williamson-Hall plot shows that induced strain of 2.627×10-4, present in the nanocomposite, lies between the induced strains of both of its constituents. The XRD pattern of nanocomposite contains cubic phase of MnO2 and the tetragonal phase of SnO2. Tauc plot shows the optical energy band gap of MnO2, SnO2, and MnO2-SnO2 of 3.407, 3.037, and 3.202 eV, respectively. The surface morphological investigation shows the brush-like structure which enhances sensor performance by providing activation sites. The energy dispersive X-ray spectrum found that materials are highly pure because other peaks are not observed. The functional group analysis by Fourier transform infrared spectroscopy found that Sn-O and Mn-O both vibration bands existed. The highest sensor response was found to be 2.42 for 2.0 vol% whereas for a lower concentration of 0.5 vol% the sensor response was observed to 1.44. The fast response and recovery of this sensing device were found to17.30 and 23.25 s, respectively, for 0.5 vol% of LPG.

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“…The crystallite size (D) and the induced strain of all samples were calculated by the Williamson-Hall plot. 35…”

Section: Resultsmentioning

confidence: 99%

MnO₂-SnO₂ Based Liquefied Petroleum Gas Sensing Device for Lowest Explosion Limit Gas Concentration

2022

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“…39 When using DLS, the autocorrelation function is calculated using the mono-exponential relation (7) and the variations in scattered light intensity are correlated against short decay periods. 40,41 G ( τ ) = 1 + b e −2 D t q 2 τ where q is the scattering vector, D t is the translational diffusion coefficient, and b is an instrument-dependent constant. The Stokes–Einstein relation (8) links this translational diffusion coefficient to the hydrodynamic radius ( R H ) of solid spherical particles.…”

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confidence: 99%

Photocurrent conversion capability of a 2D WS₂-polyvinyl alcohol matrix and its DFT-based charge carrier dynamics analysis

et al. 2023

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“…Acetone is a ketone compound derived from the spontaneous degradation of acetoacetate, a ketone body generated from acetyl-CoA, mainly obtained from the beta-oxidation of long-chain fatty acids [30]. Another source of acetone is the alcohol dehydrogenase enzyme, which reversibly converts isopropyl alcohol to acetone via an oxidation-reduction reaction [31].…”

Section: Discussionmentioning

confidence: 99%

VOCs from Exhaled Breath for the Diagnosis of Hepatocellular Carcinoma

et al. 2023

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Background: Volatile organic compound (VOC) profiles as biomarkers for hepatocellular carcinoma (HCC) are understudied. We aimed to identify VOCs from the exhaled breath for HCC diagnosis and compare the performance of VOCs to alpha-fetoprotein (AFP). The performance of VOCs for predicting treatment response and the association between VOCs level and survival of HCC patients were also determined. Methods: VOCs from 124 HCC patients and 219 controls were identified using the XGBoost algorithm. ROC analysis was used to determine VOCs performance in differentiating HCC patients from controls and in discriminating treatment responders from non-responders. The association between VOCs and the survival of HCC patients was analyzed using Cox proportional hazard analysis. Results: The combination of 9 VOCs yielded 70.0% sensitivity, 88.6% specificity, and 75.0% accuracy for HCC diagnosis. When differentiating early HCC from cirrhotic patients, acetone dimer had a significantly higher AUC than AFP, i.e., 0.775 vs. 0.714, respectively, p = 0.001. Acetone dimer classified HCC patients into treatment responders and non-responders, with 95.7% sensitivity, 73.3% specificity, and 86.8% accuracy. Isopropyl alcohol was independently associated with the survival of HCC patients, with an adjusted hazard ratio of 7.23 (95%CI: 1.36–38.54), p = 0.020. Conclusions: Analysis of VOCs is a feasible noninvasive test for diagnosing and monitoring HCC treatment response.

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Detection of acetone via exhaling human breath for regular monitoring of diabetes by low-cost sensing device based on perovskite BaSnO3 nanorods

Cited by 64 publications

References 73 publications

MnO₂-SnO₂ Based Liquefied Petroleum Gas Sensing Device for Lowest Explosion Limit Gas Concentration

MnO₂-SnO₂ Based Liquefied Petroleum Gas Sensing Device for Lowest Explosion Limit Gas Concentration

Photocurrent conversion capability of a 2D WS₂-polyvinyl alcohol matrix and its DFT-based charge carrier dynamics analysis

VOCs from Exhaled Breath for the Diagnosis of Hepatocellular Carcinoma

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Detection of acetone via exhaling human breath for regular monitoring of diabetes by low-cost sensing device based on perovskite BaSnO3 nanorods

Cited by 64 publications

References 73 publications

MnO2-SnO2 Based Liquefied Petroleum Gas Sensing Device for Lowest Explosion Limit Gas Concentration

MnO2-SnO2 Based Liquefied Petroleum Gas Sensing Device for Lowest Explosion Limit Gas Concentration

Photocurrent conversion capability of a 2D WS2-polyvinyl alcohol matrix and its DFT-based charge carrier dynamics analysis

VOCs from Exhaled Breath for the Diagnosis of Hepatocellular Carcinoma

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Product

Resources

About

MnO₂-SnO₂ Based Liquefied Petroleum Gas Sensing Device for Lowest Explosion Limit Gas Concentration

MnO₂-SnO₂ Based Liquefied Petroleum Gas Sensing Device for Lowest Explosion Limit Gas Concentration

Photocurrent conversion capability of a 2D WS₂-polyvinyl alcohol matrix and its DFT-based charge carrier dynamics analysis