Live-tracking of beef freshness by sub-ppb level ammonia detection using WS<sub>2</sub>/rGO nanoflakes incorporating edge site-enriched acidic sulfur

Sonwal, Sonam; Ranjith, Kugalur Shanmugam; Han, Soobin; Han, Young-Kyu; Oh, Mi-Hwa; Huh, Yun Suk

doi:10.1039/d3ta07831k

J. Mater. Chem. A

2024

DOI: 10.1039/d3ta07831k

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Live-tracking of beef freshness by sub-ppb level ammonia detection using WS₂/rGO nanoflakes incorporating edge site-enriched acidic sulfur

Sonam Sonwal,

Kugalur Shanmugam Ranjith,

Soobin Han

et al.

Abstract: Highly accurate, easily accessible room temperature wireless gas-sensing technology can be utilized to monitor food freshness in real time to prevent food fraud and spoiled food consumption, thus safeguarding humans from diseases.

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Cited by 9 publications

References 95 publications

(151 reference statements)

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Machine Learning‐Driven Ultrasensitive WSe₂/MWCNT Hybrid‐Based E‐Nose Sensor Array for Volatiles Amines Mixture

Gaur,

Singh,

Bhatia

et al. 2024

Adv Funct Materials

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Volatile amines in breath act as biomarkers for kidney and liver diseases. Monitoring these amines, especially when present as a mixture, provides insights into the metabolic state of the body. This study focuses on differentiating volatile amines by systematically modulating the conductivity and sensitivity of WSe2/Multiwalled Carbon Nanotubes composite‐based sensors. The fabricated chemiresistive sensor array demonstrates high selectivity, sensitivity (7.67% ppm−1), fast response and recovery kinetics (32 s/137 s), and accurate discrimination among target amines, even in the presence of other VOCs (volatile organic compounds). The sensor array operates at room temperature and achieves a theoretical limit of detection (LOD) of 387 ppt, 206, 157, and 202 ppb for triethylamine (TEA), dimethylamine (DMA), methylamine (MA), and ammonia (NH3), respectively, demonstrating its suitability for breath sensing and diagnostics. Machine learning (ML) analysis is employed to differentiate between the volatile amines and mixtures with 94% accuracy. The ability to detect these amines at such low ppt and ppb levels underscores the potential of this e‐nose technology for high‐performance applications in early‐stage disease diagnostics.

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Machine Learning‐Driven Ultrasensitive WSe₂/MWCNT Hybrid‐Based E‐Nose Sensor Array for Volatiles Amines Mixture

Gaur,

Singh,

Bhatia

et al. 2024

Adv Funct Materials

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Ranking Analysis of Tribological, Mechanical, and Thermal Properties of Nano Hydroxyapatite Filled Dental Restorative Composite Materials Using the R‐Method

Yadav,

Sonwal,

Sharma

et al. 2024

Polymers for Advanced Techs

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R‐method as multi criteria decision‐making method was proposed to determine the ranking of alternatives and performance criteria or attributes of dental composite materials. Five alternatives (DHM0, DHM2, DHM4, DHM6, and DHM8: nomenclatures of micro‐nano ceramic particulate filled dental restoration composites) and 14 attributes (performance criteria) were considered in this research. The decision‐maker determined the relevance of each rank and then attributed it to the performance criterion. In a similar manner, the options were ranked in relation to each performance criterion according to the associated performance criteria. Therefore, the order of the ranks of dental composites is DHM8 (1st rank) > DHM4 (2nd rank) > DHM6 (3rd rank) > DHM0 (4th rank) > DHM2 (5th rank). The suggested technique is showed simpler and advance compared to the other generally employed decision‐making techniques.

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Moringa oleifera mediated MnO2 electrochemical sensor for ammonia detection in aqueous medium

Kavitha,

Sankararajan,

Suseela

et al. 2024

J Mater Sci: Mater Electron

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Live-tracking of beef freshness by sub-ppb level ammonia detection using WS₂/rGO nanoflakes incorporating edge site-enriched acidic sulfur

Abstract: Highly accurate, easily accessible room temperature wireless gas-sensing technology can be utilized to monitor food freshness in real time to prevent food fraud and spoiled food consumption, thus safeguarding humans from diseases.

Cited by 9 publications

References 95 publications

Machine Learning‐Driven Ultrasensitive WSe₂/MWCNT Hybrid‐Based E‐Nose Sensor Array for Volatiles Amines Mixture

Machine Learning‐Driven Ultrasensitive WSe₂/MWCNT Hybrid‐Based E‐Nose Sensor Array for Volatiles Amines Mixture

Ranking Analysis of Tribological, Mechanical, and Thermal Properties of Nano Hydroxyapatite Filled Dental Restorative Composite Materials Using the R‐Method

Moringa oleifera mediated MnO2 electrochemical sensor for ammonia detection in aqueous medium

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Live-tracking of beef freshness by sub-ppb level ammonia detection using WS2/rGO nanoflakes incorporating edge site-enriched acidic sulfur

Abstract: Highly accurate, easily accessible room temperature wireless gas-sensing technology can be utilized to monitor food freshness in real time to prevent food fraud and spoiled food consumption, thus safeguarding humans from diseases.

Cited by 9 publications

References 95 publications

Machine Learning‐Driven Ultrasensitive WSe2/MWCNT Hybrid‐Based E‐Nose Sensor Array for Volatiles Amines Mixture

Machine Learning‐Driven Ultrasensitive WSe2/MWCNT Hybrid‐Based E‐Nose Sensor Array for Volatiles Amines Mixture

Ranking Analysis of Tribological, Mechanical, and Thermal Properties of Nano Hydroxyapatite Filled Dental Restorative Composite Materials Using the R‐Method

Moringa oleifera mediated MnO2 electrochemical sensor for ammonia detection in aqueous medium

Contact Info

Product

Resources

About

Live-tracking of beef freshness by sub-ppb level ammonia detection using WS₂/rGO nanoflakes incorporating edge site-enriched acidic sulfur

Machine Learning‐Driven Ultrasensitive WSe₂/MWCNT Hybrid‐Based E‐Nose Sensor Array for Volatiles Amines Mixture

Machine Learning‐Driven Ultrasensitive WSe₂/MWCNT Hybrid‐Based E‐Nose Sensor Array for Volatiles Amines Mixture