Literature DB >> 34710047

Plasmonic Paper-Based Flexible SERS Biosensor for Highly Sensitive Detection of Lactic and Uric Acid.

M Verma, Tania K Naqvi, Santosh K Tripathi, Manish M Kulkarni, N Eswara Prasad, Prabhat K Dwivedi.   

Abstract

Selective detection and quantification of biomarkers related to human diseases are essential for preventive healthcare. Surface-enhanced Raman scattering (SERS) spectroscopy is a powerful analytical tool offering high sensitivity. However, the success of this promising analytical tool relies on the ability to effectively fabricate SERS substrate. Herein we have demonstrated a plasmonic paper-based flexible substrate (PPFS) for SERS sensing. In situ growth of silver nanostructures (AgNS) on the paper-based substrate was achieved by using a simple one-step silver mirror reaction (SMR). FESEM and TEM results depicts that the increasing silver ion content influences the morphology (growth of multifacets), as well as size of AgNS. Further, the PPFS substrate was tested with Rhodamine-6G (Rh-6G) dye and an attomole sensitivity with a LOD of 4.54 × 10-18 M was achieved. Further, two biomarkers, lactic acid (LA) and uric acid (UA) were detected on the PPFS substrate, with [Formula: see text] and pM sensitivity, having LOD values of 0.6 × 10-6 and 0.3 × 10-12 M respectively. Above detection levels for UA on PPFS is two orders better than reported values, whereas for LA it is comparable with reported substrates. Finally, UA, LA and their mixtures were tested on PPFS and results compared with commercial substrate. The performance of PPFS were found better in all cases, thus, multifaceted AgNS paper based PPFS offers the potential to be used as a biosensor for detection of various biomarkers from body fluids, responsible for the detection of the critical disease for preventive health care.

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Year:  2022        PMID: 34710047     DOI: 10.1109/TNB.2021.3124055

Source DB:  PubMed          Journal:  IEEE Trans Nanobioscience        ISSN: 1536-1241            Impact factor:   2.935


  1 in total

1.  Fast Synthesis of Au Nanoparticles on Metal-Phenolic Network for Sweat SERS Analysis.

Authors:  Xiaoying Zhang; Xin Wang; Mengling Ning; Peng Wang; Wen Wang; Xiaozhou Zhang; Zhiming Liu; Yanjiao Zhang; Shaoxin Li
Journal:  Nanomaterials (Basel)       Date:  2022-08-28       Impact factor: 5.719

  1 in total

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