A stable nanosilver decorated phosphorene nanozyme with phosphorus- doped porous carbon microsphere for intelligent sensing of 8-hydroxy-20-deoxyguanosine
dc.contributor.author | Sheng, Yingying | |
dc.contributor.author | Zhu, Yifu | |
dc.contributor.author | Ceron, Maria Luisa | |
dc.contributor.author | Yi, Yufu | |
dc.contributor.author | Liu, Peng | |
dc.contributor.author | Wang, Peng | |
dc.contributor.author | Xue, Ting | |
dc.contributor.author | Camarada, Maria Belen | |
dc.contributor.author | Wen, Yangping | |
dc.date.accessioned | 2025-01-20T22:11:49Z | |
dc.date.available | 2025-01-20T22:11:49Z | |
dc.date.issued | 2021 | |
dc.description.abstract | Nanozyme based on the silver nanoparticles (AgNPs) decorated highly water-oxygen stable phosphorene (BP) nanohybrid with phosphorus-doped porous carbon microspheres (P-PCMs) is applied as an intelligent sensing platform for the electrochemical detection of 8-hydroxy-20-deoxyguanosine (8-OHdG) as a biomarker of oxidative DNA damage in human urine sample. The density functional theory (DFT) is use for investigating the effect of silver on the conductivity level of BP and discussing a possible mechanism for the electrocatalytic oxidation of 8-OHdG. The Ag+ is in-situ reduced as AgNPs that grows onto the BP surface for the controllable preparation of BP-AgNPs with effective surface passivation among different metal ions decorated BP. P-PCMs with 4.9-fold enhancement in specific surface area (1636.73 m2 g-1) are prepared by hydrothermal carbonization of alpha cyclodextrin as carbon sources, then calcinate in the presence of phosphoric acid as an activator and dopant. P-PCMs-BP-AgNPs are prepared by the ultrasound-assisted liquid-phase exfoliation with the addition of Ag+, and both P-PCMs and black phosphorus crystals are sufficiently grinded. The P-PCMs-BP-AgNPs nanohybrid displays good long-term water-oxygen stability, extraordinary specific surface area, superior electrocatalytic capacity with 303-fold enhancement, enzyme-like characteristics with Imax of 100 mu A and Km of 29 mu M. The machine learning (ML) model with artificial neural network (ANN) algorithm is employed for the intelligent output of 8-OHdG in real sample with acceptable recovery in work range from 0.2 to 125 mu M. | |
dc.fuente.origen | WOS | |
dc.identifier.doi | 10.1016/j.jelechem.2021.115522 | |
dc.identifier.eissn | 1873-2569 | |
dc.identifier.issn | 1572-6657 | |
dc.identifier.uri | https://doi.org/10.1016/j.jelechem.2021.115522 | |
dc.identifier.uri | https://repositorio.uc.cl/handle/11534/94416 | |
dc.identifier.wosid | WOS:000681679500004 | |
dc.language.iso | en | |
dc.revista | Journal of electroanalytical chemistry | |
dc.rights | acceso restringido | |
dc.subject | Phosphorene | |
dc.subject | Porous carbon | |
dc.subject | Nanozyme | |
dc.subject | Machine learning | |
dc.subject | Electrochemical sensor | |
dc.subject | Water-oxygen stability | |
dc.title | A stable nanosilver decorated phosphorene nanozyme with phosphorus- doped porous carbon microsphere for intelligent sensing of 8-hydroxy-20-deoxyguanosine | |
dc.type | artículo | |
dc.volumen | 895 | |
sipa.index | WOS | |
sipa.trazabilidad | WOS;2025-01-12 |