Literature DB >> 29055196

Urinary p-cresol diagnosis using nanocomposite of ZnO/MoS2 and molecular imprinted polymer on optical fiber based lossy mode resonance sensor.

Sruthi P Usha1, Banshi D Gupta2.   

Abstract

A lossy mode resonance (LMR) based sensor for urinary p-cresol testing on optical fiber substrate is developed. The sensor probe fabrication includes dip coating of nanocomposite layer of zinc oxide and molybdenum sulphide (ZnO/MoS2) over unclad core of optical fiber as the transducer layer followed by the layer of molecular imprinted polymer (MIP) as the recognition medium. The addition of molybdenum sulphide in the transducer layer increases the absorption of light in the medium which enhances the LMR properties of zinc oxide thereby increasing the conductivity and hence the sensitivity of the sensor. The sensor probe is characterized for p-cresol concentration range from 0µM (reference sample) to 1000µM in artificially prepared urine. Optimizations of various probe fabrication parameters are carried to bring out the sensor's optimal performance with a sensitivity of 11.86nm/µM and 28nM as the limit of detection (LOD). A two-order improvement in LOD is obtained as compared to the recently reported p-cresol sensor. The proposed sensor possesses a response time of 15s which is 8 times better than that reported in the literature utilizing electrochemical method. Its response time is also better than the p-cresol sensor currently available in the market for the medical field. Thus, with a fast response, significant stability and repeatability, the proposed sensor holds practical implementation possibilities in the medical field. Further, the realization of sensor probe over optical fiber substrate adds remote sensing and online monitoring feasibilities.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Artificial urine; Lossy mode resonance; Molecular imprinting; Optical fiber sensor; P-cresol; Zinc oxide/ molybdenum sulphide nanocomposite

Mesh:

Substances:

Year:  2017        PMID: 29055196     DOI: 10.1016/j.bios.2017.10.029

Source DB:  PubMed          Journal:  Biosens Bioelectron        ISSN: 0956-5663            Impact factor:   10.618


  7 in total

Review 1.  2D Material-Based Optical Biosensor: Status and Prospect.

Authors:  Zong-Lin Lei; Bo Guo
Journal:  Adv Sci (Weinh)       Date:  2021-12-13       Impact factor: 16.806

2.  Surface modified chitosan-silica nanocomposite porous thin film based multi-parametric optical glucose sensor.

Authors:  Deeparati Basu; Syed Minhaz Hossain; Jayoti Das
Journal:  Appl Phys A Mater Sci Process       Date:  2022-07-17       Impact factor: 2.983

3.  Functional nano-catalyzed pyrolyzates from branch of Cinnamomum camphora.

Authors:  Xue Liu; Yu Meng; Zanpei Zhang; Yihan Wang; Xiaodong Geng; Mingwan Li; Zhi Li; Dangquan Zhang
Journal:  Saudi J Biol Sci       Date:  2019-06-04       Impact factor: 4.219

Review 4.  Molecular Imprinted Polymers Coupled to Photonic Structures in Biosensors: The State of Art.

Authors:  Andrea Chiappini; Laura Pasquardini; Alessandra Maria Bossi
Journal:  Sensors (Basel)       Date:  2020-09-07       Impact factor: 3.576

5.  A Ratiometric Fiber Optic Sensor Based on CdTe QDs Functionalized with Glutathione and Mercaptopropionic Acid for On-Site Monitoring of Antibiotic Ciprofloxacin in Aquaculture Water.

Authors:  Xiao-Lin Yuan; Xiao-Yi Wu; Miao He; Jia-Ping Lai; Hui Sun
Journal:  Nanomaterials (Basel)       Date:  2022-03-01       Impact factor: 5.076

6.  A targeted metabolomic protocol for quantitative analysis of volatile organic compounds in urine of children with celiac disease.

Authors:  Natalia Drabińska; Hafiz Abdul Azeem; Urszula Krupa-Kozak
Journal:  RSC Adv       Date:  2018-10-29       Impact factor: 4.036

Review 7.  Cost-Effective Fiber Optic Solutions for Biosensing.

Authors:  Cátia Leitão; Sónia O Pereira; Carlos Marques; Nunzio Cennamo; Luigi Zeni; Madina Shaimerdenova; Takhmina Ayupova; Daniele Tosi
Journal:  Biosensors (Basel)       Date:  2022-07-28
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.