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Development of efficient electrocatalysts for the CO reduction reaction (CORR) to multicarbon products has been constrained by high overpotentials and poor selectivity. Here, we introduce iron phosphide (FeP) as an earth-abundant catalyst for the CORR to mainly C-C products with a total CORR Faradaic efficiency of 53% at 0 V vs RHE. Carbon product selectivity is tuned in favor of ethylene glycol formation with increasing negative bias at the expense of C-C products. Both Grand Canonical-DFT (GC-DFT) calculations and experiments reveal that *formate, not *CO, is the initial intermediate formed from surface phosphino-hydrides and that the latter form ionic hydrides at both surface phosphorus atoms (H@P) and P-reconstructed Fe hollow sites (H@P*). Binding of these surface hydrides weakens with negative bias (reactivity increases), which accounts for both the shift to C products over higher C-C coupling products and the increase in the H evolution reaction (HER) rate. GC-DFT predicts that phosphino-hydrides convert *formate to *formaldehyde, the key intermediate for C-C coupling, whereas hydrogen atoms on Fe generate tightly bound *CO via sequential PCET reactions to HO. GC-DFT predicts the peak in CORR current density near -0.1 V is due to a local maximum in the binding affinity of *formate and *formaldehyde at this bias, which together with the more labile C product affinity, accounts for the shift to ethylene glycol and away from C-C products. Consistent with these predictions, addition of exogenous CO is shown to block all carbon product formation and lower the HER rate. These results demonstrate that the formation of ionic hydrides and their binding affinity, as modulated by the applied potential, controls the carbon product distribution. This knowledge provides new insight into the influence of hydride speciation and applied bias on the chemical reaction mechanism of CORR that is relevant to all transition metal phosphides.
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http://dx.doi.org/10.1021/jacs.1c03428 | DOI Listing |
Nanomicro Lett
September 2025
Nanomaterials & System Lab, Major of Mechatronics Engineering, Faculty of Applied Energy System, Jeju National University, Jeju, 63243, Republic of Korea.
Wearable sensors integrated with deep learning techniques have the potential to revolutionize seamless human-machine interfaces for real-time health monitoring, clinical diagnosis, and robotic applications. Nevertheless, it remains a critical challenge to simultaneously achieve desirable mechanical and electrical performance along with biocompatibility, adhesion, self-healing, and environmental robustness with excellent sensing metrics. Herein, we report a multifunctional, anti-freezing, self-adhesive, and self-healable organogel pressure sensor composed of cobalt nanoparticle encapsulated nitrogen-doped carbon nanotubes (CoN CNT) embedded in a polyvinyl alcohol-gelatin (PVA/GLE) matrix.
View Article and Find Full Text PDFMikrochim Acta
September 2025
Faculty of Pharmacy, Department of Analytical Chemistry, Ankara University, Ankara, Türkiye.
A novel molecularly imprinted polymer (MIP)-based electrochemical sensor has been developed for the selective detection of naringenin (NAR) in various real-world samples, including plant extracts, wine, and herbal supplements. To enhance the active surface area and porosity of the glassy carbon electrode (GCE), a 2D/0D nanocomposite composed of graphene oxide (GO) and cobalt ferrite (CFO) nanoparticles, CFO_GO, was incorporated into the sensor design. 4-aminobenzoic acid (4-ABA) was selected as the functional monomer to prepare the MIPs.
View Article and Find Full Text PDFACS Appl Mater Interfaces
September 2025
Key Laboratory of Leather Chemistry and Engineering of Ministry of Education, Sichuan University, Chengdu 610065, China.
Gel-based electronic skin (e-skin) has recently emerged as one of the most promising interfaces for human-machine interaction and wearable devices, owing to its exceptional flexibility, extensibility, transparency, biocompatibility, high-quality physiological signal monitoring, and system integration suitability. However, conventional hydrogel-based e-skins may exhibit limitations in mechanical strength and stretchability compatibility, as well as poor environmental stability. To address these challenges, following a top-down fabrication strategy, this study innovatively integrates poly(methacrylic acid), titanium sulfate, and ethylene glycol (EG) into the three-dimensional collagen fiber network structure of zeolite-tanned sheepskin to successfully develop an organogel (SMEMT) e-skin, which exhibits superior high toughness, environmental stability, high transparency (74% light transmittance at 550 nm), antibacterial properties and ecological compatibility.
View Article and Find Full Text PDFMacromol Biosci
September 2025
Department of Pharmaceutical Technology, Faculty of Pharmacy, Ankara University, Tandogan, Ankara, Turkey.
The COVID-19 pandemic caused by the novel coronavirus SARS-CoV-2 has highlighted the critical need for safe and effective vaccines. In this study, subunit nanovaccine formulations were developed using the receptor-binding domain (RBD) of the SARS-CoV-2 spike (S) protein encapsulated in polymeric nanoparticles composed of poly(ethylene glycol)-block-poly(ε-caprolactone) (PEG-PCL). Two surfactants, poly(vinyl alcohol) (PVA) and sodium cholate (SC), were evaluated during formulation via a modified water-in-oil-in-water (w/o/w) emulsion-solvent evaporation method.
View Article and Find Full Text PDFACS Appl Mater Interfaces
September 2025
Department of Chemistry, Faculty of Science, Chulalongkorn University, Bangkok 10330, Thailand.
Strain sensors have received considerable attention in personal healthcare due to their ability to monitor real-time human movement. However, the lack of chemical sensing capabilities in existing strain sensors limits their utility for continuous biometric monitoring. Although the development of dual wearable sensors capable of simultaneously monitoring human motion and biometric data presents significant challenges, the ability to fabricate these sensors with geometries tailored to individual users is highly desirable.
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