@article{ee5036a4e39043aca293219a6639badf,
title = "Free-standing vertically aligned tin disulfide nanosheets for ultrasensitive aptasensor design toward Alzheimer's diagnosis applications",
abstract = "Despite a single drug, Aducanumab, recently approved by the U.S. Food and Drug Administration for Alzheimer's disease (AD)-modifying treatments, the development of non-invasive, highly sensitive, and early screening devices to halt the disease remains a critical challenge. In this study, an electrochemical biosensor for amyloid-β (42) oligomers (AβOs) detection based on immobilized DNA aptamer onto vertical aligned tin disulfide nanosheets (SnS2 NSs) is developed for the first time. Highly crystalline, uniform, and vertical aligned SnS2 NSs were synthesized via a facile chemical vapor deposition (CVD) process. The sensing platform, comprising of Aβ (42)-specific capture aptamer covalently immobilized onto self-assembled-3-mercaptopropyl-trimethoxysilane (MPTMS)-SnS2 binds specifically toward AβOs. The biosensor can detect the AβOs at wide linear concentration range from 10-4 to 103 ng/mL with a low limit of detection (LOD) of 238.9 fg/mL and 56.9 fg/mL in physiological buffer and human serum (HS), respectively. The developed biosensor was successfully used to detect AβOs in the mice blood serum samples indicating its potential for clinical application in Alzheimer's biomarker detection. Moreover, the SnS2-aptasensor shows good stability, selectivity, and interference-resistance. The predominant edge-plane active site and energetically preference for vertical SnS2 over its planar structure were unveiled by density-functional theory calculations which emphasize the advantages of applying nanomaterial with vertical orientated configuration into electrocatalytic reaction. The as-designed SnS2-aptasensor could shed light not only on multifunctional electrochemical biosensor design, but also for advancements on future Alzheimer's diagnosis.",
keywords = "Aptasensor, Aβ (42) oligomers, Density functional theory, Electrocatalytic, Tin disulfide, Vertical aligned",
author = "{Tri Murti}, Bayu and Huang, {Yi June} and {Darumas Putri}, Athika and Lee, {Chuan Pei} and Hsieh, {Chien Ming} and Wei, {Shih Min} and Tsai, {Meng Lin} and Peng, {Chih Wei} and Yang, {Po Kang}",
note = "Funding Information: This study was supported by grants from the Ministry of Science and Technology, Taiwan, under Grant no. 108-2636-E-038-003, 109-2636-E-008-010, 110-2636-E-008-009, 111-2636-E-008-013 (Young Scholar Fellowship Program), 110-2314-B-038-001 and 109-2221-E-038-005-MY3. The authors thank Ms. C.-Y. Chien for the assistance in TEM and EDX experiments. The assistance of J.-H. Xu in Raman analysis, SEM measurement, and TEM sample preparation is greatly acknowledged. The authors also thank The National Center for High-Performance Computing, Hsinchu City, Taiwan for providing the necessary computational resources. The authors gratefully thank T.-H. Hsieh and C.-C. Chiu of Chang Gung University for providing the blood sample of AD mice and technique assistance. Funding Information: This study was supported by grants from the Ministry of Science and Technology, Taiwan, under Grant no. 108-2636-E-038-003, 109-2636-E-008-010, 110-2636-E-008-009, 111-2636-E-008-013 (Young Scholar Fellowship Program), 110-2314-B-038-001 and 109-2221-E-038-005-MY3. The authors thank Ms. C.-Y. Chien for the assistance in TEM and EDX experiments. The assistance of J.-H. Xu in Raman analysis, SEM measurement, and TEM sample preparation is greatly acknowledged. The authors also thank The National Center for High-Performance Computing, Hsinchu City, Taiwan for providing the necessary computational resources. The authors gratefully thank T.-H. Hsieh and C.-C. Chiu of Chang Gung University for providing the blood sample of AD mice and technique assistance. Publisher Copyright: {\textcopyright} 2022 Elsevier B.V.",
year = "2023",
month = jan,
doi = "10.1016/j.cej.2022.139394",
language = "English",
volume = "452",
journal = "Chemical Engineering Journal",
issn = "1385-8947",
publisher = "Elsevier B.V.",
}