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Floating SERS substrates of silver nanoparticles-graphene based nanosheets for rapid detection of biomolecules and clinical uremic toxins

Authors :
Ruey-Shin Juang
Yu-Wei Cheng
Chi-Ming Liu
Ru-Jong Jeng
Chu-Chun Chien
Chun-Chieh Fu
Kuan-Syun Wang
Ting-Yu Liu
Wan-Tzu Chen
Cheng-Cheung Chen
Source :
Colloids and Surfaces A: Physicochemical and Engineering Aspects. 576:36-42
Publication Year :
2019
Publisher :
Elsevier BV, 2019.

Abstract

Nowadays, chronic kidney disease (CKD) becomes a principal barrier in clinical diagnosis and treatment. For clinical patients, chronic kidney disease will potentially lead to multiple lesion that increase the risk of mortality. The most significant challenge in CKD is detecting uremic toxins, including small water-soluble solutes (uric acid, urea and creatinine) and protein-bound solutes (p-cresol and indoxyl sulfate). Surface-enhanced Raman scattering (SERS) platform is rapid and sensitive nanotechnology for bio-detection. Thus, the floating-typed SERS substrate is prepared by embedded silver nanoparticles (AgNPs) on the poly (diallyldimethyl-ammonium) chloride (PDDA) modified graphene oxide (GO) nanosheets for the biomolecules and uremic toxins detection. The optimal interparticle distances of AgNPs are modulated to generate the strong “hot spots” for enhancing Raman signals. The characterizations of AgNPs/GO-PDDA nanosheets are evaluated by transmission electron microscopy, zeta potential, FTIR, X-ray photoelectron spectroscopy, and Raman spectroscopy. The results show that the floating SERS-active substrate provides quantitatively linear measurement (i.e., 3.8 × 10−2 ˜10-5 M of urea) and ultrasensitive SERS detection (i.e., detection limit of adenine: lower than 10-10 M) of biomolecules, which offers great potential for practical clinical applications in rapid and label-free detection of clinical uremic toxins.

Details

ISSN :
09277757
Volume :
576
Database :
OpenAIRE
Journal :
Colloids and Surfaces A: Physicochemical and Engineering Aspects
Accession number :
edsair.doi...........e01d7dd7c4c8611d0ccd243cb1d6f7cd
Full Text :
https://doi.org/10.1016/j.colsurfa.2019.05.042