Dr Miguel Cruz Irisson

@article{SANTANA2024416332,

title = {Urea adsorption and detection using silicon nanowires doped with B, Al, C, Ge, N, and P: A DFT investigation},

author = {Jos\'{e} E. Santana and Kevin J. Garc\'{i}a and Ivonne J. Hern\'{a}ndez-Hern\'{a}ndez and \'{A}lvaro Miranda and Miguel Cruz-Irisson and Luis A. P\'{e}rez},

url = {https://www.sciencedirect.com/science/article/pii/S0921452624006732},

doi = {https://doi.org/10.1016/j.physb.2024.416332},

issn = {0921-4526},

year  = {2024},

date = {2024-01-01},

urldate = {2024-01-01},

journal = {Physica B: Condensed Matter},

volume = {691},

pages = {416332},

abstract = {Urea can serve as a biomarker for the detection of various illnesses, including renal and hepatic failure. Consequently, the development of novel devices and materials capable of adsorbing and identifying urea is a crucial objective for the scientific community. This study theoretically investigates the adsorption and detection capabilities of doped silicon nanowires (SiNWs) for urea using Density Functional Theory (DFT). Doping involves substituting a silicon atom on the surface with a dopant atom; B, Al, C, Ge, N, and P were employed for this purpose. This study presents an innovative method for enhancing urea adsorption and detection by doping SiNWs with group XIII elements, specifically aluminum and boron atoms. The results indicate that this doping significantly improves urea adsorption on SiNWs compared to undoped SiNWs. Notable changes in the bandgaps and work functions of the doped nanowires following urea adsorption suggest their potential use as diagnostic tools for uremia.},

keywords = {Biosensor, Density Functional Theory, Sensing, Silicon nanowires, Urea},

pubstate = {published},

tppubtype = {article}

}

@article{SANTANA2024416332b,

title = {Urea adsorption and detection using silicon nanowires doped with B, Al, C, Ge, N, and P: A DFT investigation},

author = {Jos\'{e} E. Santana and Kevin J. Garc\'{i}a and Ivonne J. Hern\'{a}ndez-Hern\'{a}ndez and \'{A}lvaro Miranda and Miguel Cruz-Irisson and Luis A. P\'{e}rez},

url = {https://www.sciencedirect.com/science/article/pii/S0921452624006732},

doi = {https://doi.org/10.1016/j.physb.2024.416332},

issn = {0921-4526},

year  = {2024},

date = {2024-01-01},

urldate = {2024-01-01},

journal = {Physica B: Condensed Matter},

volume = {691},

pages = {416332},

abstract = {Urea can serve as a biomarker for the detection of various illnesses, including renal and hepatic failure. Consequently, the development of novel devices and materials capable of adsorbing and identifying urea is a crucial objective for the scientific community. This study theoretically investigates the adsorption and detection capabilities of doped silicon nanowires (SiNWs) for urea using Density Functional Theory (DFT). Doping involves substituting a silicon atom on the surface with a dopant atom; B, Al, C, Ge, N, and P were employed for this purpose. This study presents an innovative method for enhancing urea adsorption and detection by doping SiNWs with group XIII elements, specifically aluminum and boron atoms. The results indicate that this doping significantly improves urea adsorption on SiNWs compared to undoped SiNWs. Notable changes in the bandgaps and work functions of the doped nanowires following urea adsorption suggest their potential use as diagnostic tools for uremia.},

keywords = {Biosensor, Density Functional Theory, Sensing, Silicon nanowires, Urea},

pubstate = {published},

tppubtype = {article}

}