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ULTRASENSITIVE DETECTION OF ENHANCED RAMAN SCATTERING VIA MODIFIED MoS2∕TiO2 ULTRATHIN NANOWIRE ARRAYS

Ali Mohamed Abdelgawwad El-SehrawyInternal Medicine, Diabetes, Endocrinology and Metabolism, Mansoura University, Mansoura, EgyptMustafa F. HamadCollege of Dentistry, University of Al Maarif, Al Anbar 31001, IraqDhuha Mahdi OudahCollege of Pharmacy, University of Anbar, Anbar, IraqShakhnoza AbdukodirovaDepartment of Clinical Pharmacology, Samarkand State Medical University, Samarkand, UzbekistanM. HeydarianDepartment of Mechanical Engineering, M. E. S. College of Engineering, S. P. Pune University, Pune, India
ABI

Аннотация

Uric acid (UA) and creatinine are important metabolic biomarkers closely linked to human health. Reliable detection of these molecules requires analytical methods with high sensitivity and stability. Quantitative analysis of UA by surface-enhanced Raman scattering (SERS) is still difficult because of weak adsorption on substrates and interference from urine components. In this work, we design a hybrid SERS substrate based on titanium dioxide nanowire arrays (TiO 2 -NWAs). The nanowires are coated with an ultrathin molybdenum disulfide (MoS 2 ) layer and further decorated with gold nanoparticles (Au-NPs), forming TiO 2 (NWAs/MoS 2 /Au-NPs). The thin MoS 2 coating preserves the nanowire morphology and builds strong heterojunctions with TiO 2 . These junctions provide abundant adsorption sites and promote charge transfer between the substrate and analytes. The ternary composite shows excellent SERS activity. Its performance arises from the combined effects of localized electromagnetic enhancement and efficient charge transfer. Using this system, UA and creatinine can be detected at very low concentrations, with limits of 10[Formula: see text] [Formula: see text]M and 10[Formula: see text] [Formula: see text]M, respectively. This study demonstrates the essential role of ultrathin MoS 2 in semiconductor/metal hybrid systems. The findings offer a practical framework for biocompatible SERS substrates and support the translation of SERS technology into point-of-care health monitoring.

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