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Ogada J, Ehirim TJ, Ipadeola AK, Haruna AB, Mwonga PV, Abdullah AM, Yang XY, Eid K, Wamwangi DM, Ozoemena KI. Interfacial Electronic Interactions within the Pd-CeO 2/Carbon Onions Define the Efficient Electrocatalytic Ethanol Oxidation Reaction in Alkaline Electrolytes. ACS OMEGA 2024; 9:7439-7451. [PMID: 38405481 PMCID: PMC10882676 DOI: 10.1021/acsomega.3c04427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Revised: 09/24/2023] [Accepted: 09/27/2023] [Indexed: 02/27/2024]
Abstract
Porous Pd-based electrocatalysts are promising materials for alkaline direct ethanol fuel cells (ADEFCs) and ethanol sensors in the development of renewable energy and point-of-contact ethanol sensor test kits for drunk drivers. However, experimental and theoretical investigations of the interfacial interaction among Pd nanocrystals on supports (i.e., carbon black (CB), onion-like carbon (OLC), and CeO2/OLC) toward ADEFC and ethanol sensors are not yet reported. This is based on the preparation of Pd-CeO2/OLC nanocrystals by the sol-gel and impregnation methods. Evidently, the porous Pd-CeO2/OLC significantly increased membrane-free micro-3D-printed ADEFC performance with a high peak power density (Pmax = 27.15 mW cm-2) that is 1.38- and 7.58-times those of Pd/OLC (19.72 mW cm-2) and Pd/CB (3.59 mW cm-2), besides its excellent stability for 48 h. This is due to the excellent interfacial interaction among Pd, CeO2, and OLC, evidenced by density functional theory (DFT) simulations that showed a modulated Pd d-band center and facile active oxygenated species formation by the CeO2 needed for ethanol fuel cells. Similarly, Pd-CeO2/OLC gives excellent sensitivity (0.00024 mA mM-1) and limit of detection (LoD = 8.7 mM) for ethanol sensing and satisfactory recoveries (89-108%) in commercial alcoholic beverages (i.e., human serum, Amstel beer, and Nederberg Wine). This study shows the excellent possibility of utilizing Pd-CeO2/OLC for future applications in fuel cells and alcohol sensors.
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Affiliation(s)
- Jimodo
J. Ogada
- School
of Chemistry, Molecular Sciences Institute, University of the Witwatersrand, Johannesburg 2050, South Africa
- School
of Physics, University of the Witwatersrand, Johannesburg 2050, South Africa
| | - Tobechukwu J. Ehirim
- School
of Chemistry, Molecular Sciences Institute, University of the Witwatersrand, Johannesburg 2050, South Africa
| | - Adewale K. Ipadeola
- School
of Chemistry, Molecular Sciences Institute, University of the Witwatersrand, Johannesburg 2050, South Africa
- Gas
Processing Center (GPC), College of Engineering, Qatar University, Doha 2713, Qatar
- Center
for Advanced Materials, Qatar University, Doha 2713, Qatar
| | - Aderemi B. Haruna
- School
of Chemistry, Molecular Sciences Institute, University of the Witwatersrand, Johannesburg 2050, South Africa
| | - Patrick V. Mwonga
- School
of Chemistry, Molecular Sciences Institute, University of the Witwatersrand, Johannesburg 2050, South Africa
| | | | - Xiao-Yu Yang
- School
of Chemistry, Molecular Sciences Institute, University of the Witwatersrand, Johannesburg 2050, South Africa
- State
Key Laboratory of Advanced Technology for Materials Synthesis and
Processing, School of Materials Science and Engineering, Wuhan University of Technology, Wuhan 430070, China
| | - Kamel Eid
- Gas
Processing Center (GPC), College of Engineering, Qatar University, Doha 2713, Qatar
| | - Daniel M. Wamwangi
- School
of Physics, University of the Witwatersrand, Johannesburg 2050, South Africa
| | - Kenneth I. Ozoemena
- School
of Chemistry, Molecular Sciences Institute, University of the Witwatersrand, Johannesburg 2050, South Africa
- State
Key Laboratory of Advanced Technology for Materials Synthesis and
Processing, School of Materials Science and Engineering, Wuhan University of Technology, Wuhan 430070, China
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Chang H, Zhang J. Detecting nanoparticles by "listening". FRONTIERS OF PHYSICS 2023; 18:53602. [PMID: 37192844 PMCID: PMC10163296 DOI: 10.1007/s11467-023-1287-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Accepted: 03/24/2023] [Indexed: 05/18/2023]
Abstract
In the macroscopic world, we can obtain some important information through the vibration of objects, that is, listening to the sound. Likewise, we can also get some information of the nanoparticles that we want to know by the means of "listening" in the microscopic world. In this review, we will introduce two sensing methods (cavity optomechanical sensing and surface-enhanced Raman scattering sensing) which can be used to detect the nanoparticles. The cavity optomechanical systems are mainly used to detect sub-gigahertz nanoparticle or cavity vibrations, while surface-enhanced Raman scattering is a well-known technique to detect molecular vibrations whose frequency generally exceeds terahertz. Therefore, the vibrational information of nanoparticles from low-frequency to high-frequency could be obtained by these two methods. The size of the viruses is at the nanoscale and we can regard it as a kind of nanoparticles. Rapid and ultrasensitive detection of the viruses is the key strategies to break the spread of the viruses in the community. Cavity optomechanical sensing enables rapid, ultrasensitive detection of nanoparticles through the interaction of light and mechanical oscillators and surface-enhanced Raman scattering is an attractive qualitatively analytical technique for chemical sensing and biomedical applications, which has been used to detect the SARS-CoV-2 infected. Hence, investigation in these two fields is of vital importance in preventing the spread of the virus from affecting human's life and health.
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Affiliation(s)
- Haonan Chang
- State Key Laboratory of Superlattices and Microstructures, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, 100083 China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing, 100049 China
| | - Jun Zhang
- State Key Laboratory of Superlattices and Microstructures, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, 100083 China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing, 100049 China
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Tyree DJ, Brothers MC, Sim D, Flory L, Tomb M, Strayer K, Jung A, Lee J, Land C, Guess B, Chancellor C, Zelasko J, Alvarado RL, Pitsch RL, Harshman SW, Regn D, Medvedev IR, Kim SS. Detection of Asthma Inhaler Use via Terahertz Spectroscopy. ACS Sens 2023; 8:610-618. [PMID: 36657059 DOI: 10.1021/acssensors.2c01795] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
Inhaled medications are commonplace for administering bronchodilators, anticholinergics, and corticosteroids. While they have a defined legitimate use, they are also used in sporting events as performance-enhancing drugs. These performance enhancers can be acquired via both legal (i.e., at a pharmacy through over-the-counter medications or through a prescription) and illicit (i.e., black market and foreign pharmacies) means, thus making monitoring procurement impossible. While urine tests can detect these pharmacological agents hours after they have been inhaled, there is a significant lag time before they are observed in urine. Direct detection of these inhaled agents is complicated and requires a multiplexed approach due to the sheer number of inhaled pharmacological agents. Therefore, detection of propellants, which carry the drug into the lungs, provides a simpler path forward toward detection of broad pharmacological agents. In this paper, we demonstrate the first use of terahertz spectroscopy (THz) to detect inhaled medications in human subjects. Notably, we were able to detect and quantitate the propellant, HFA-134a, in breath up to 30 min after using an asthma inhaler, enabling the use of a point-of-care device to monitor exhaled breath for the presence of propellants. We also demonstrate via simulations that the same approach can be leveraged to detect and identify next-generation propellants, specifically HFA-152a. As a result, we provide evidence that a single point-of-care THz sensor can detect when individuals have used pressure-mediated dose inhalers (pMDIs) without further modification of the hardware.
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Affiliation(s)
- Daniel J Tyree
- 711th Human Performance Wing, Wright Patterson Air Force Base, Dayton, Ohio 45433, United States.,Department of Physics, Wright State University, Dayton, Ohio 45435, United States
| | - Michael C Brothers
- 711th Human Performance Wing, Wright Patterson Air Force Base, Dayton, Ohio 45433, United States.,UES Inc. Dayton, Ohio 45432, United States
| | - Daniel Sim
- 711th Human Performance Wing, Wright Patterson Air Force Base, Dayton, Ohio 45433, United States.,UES Inc. Dayton, Ohio 45432, United States
| | - Laura Flory
- 711th Human Performance Wing, Wright Patterson Air Force Base, Dayton, Ohio 45433, United States.,UES Inc. Dayton, Ohio 45432, United States
| | - Miranda Tomb
- United States Air Force School of Aerospace Medicine, Wright Patterson Air Force Base, Dayton, Ohio 45433, United States
| | - Kraig Strayer
- 711th Human Performance Wing, Wright Patterson Air Force Base, Dayton, Ohio 45433, United States.,UES Inc. Dayton, Ohio 45432, United States
| | - Anne Jung
- 711th Human Performance Wing, Wright Patterson Air Force Base, Dayton, Ohio 45433, United States.,UES Inc. Dayton, Ohio 45432, United States
| | - Jaehwan Lee
- 711th Human Performance Wing, Wright Patterson Air Force Base, Dayton, Ohio 45433, United States
| | - Christopher Land
- 711th Human Performance Wing, Wright Patterson Air Force Base, Dayton, Ohio 45433, United States
| | - Barlow Guess
- 711th Human Performance Wing, Wright Patterson Air Force Base, Dayton, Ohio 45433, United States
| | - Cody Chancellor
- United States Air Force School of Aerospace Medicine, Wright Patterson Air Force Base, Dayton, Ohio 45433, United States
| | - Jeremy Zelasko
- United States Air Force School of Aerospace Medicine, Wright Patterson Air Force Base, Dayton, Ohio 45433, United States
| | - Rosa Linda Alvarado
- United States Air Force School of Aerospace Medicine, Wright Patterson Air Force Base, Dayton, Ohio 45433, United States
| | - Rhonda L Pitsch
- 711th Human Performance Wing, Wright Patterson Air Force Base, Dayton, Ohio 45433, United States
| | - Sean W Harshman
- 711th Human Performance Wing, Wright Patterson Air Force Base, Dayton, Ohio 45433, United States
| | - Dara Regn
- United States Air Force School of Aerospace Medicine, Wright Patterson Air Force Base, Dayton, Ohio 45433, United States
| | - Ivan R Medvedev
- Department of Physics, Wright State University, Dayton, Ohio 45435, United States
| | - Steve S Kim
- 711th Human Performance Wing, Wright Patterson Air Force Base, Dayton, Ohio 45433, United States
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