Literature DB >> 30149216

In situ plasmonic generation in functional ionic-gold-nanogel scaffold for rapid quantitative bio-sensing.

Santosh K Misra1, Ketan Dighe1, Aaron S Schwartz-Duval1, Zaixi Shang1, Leanne T Labriola2, Dipanjan Pan3.   

Abstract

Conventional analytical techniques, which have been developed for high sensitivity and selectivity for the detection and quantification of relevant biomarkers, may not be as suitable for medical diagnosis in resource scarce environments as compared to point-of-care devices (POC). We have developed a new reactive sensing material which contains ionic gold entrapped within an agarose gel scaffold for POC quantification of ascorbic acid (AA) in tear fluid. Pathologically elevated concentration of AA in human tear fluid can serve as a biomarker for full-thickness injuries to the ocular surface, which are a medical emergency. This reactive sensing material will undergo colorimetric changes, quantitatively dependent on endogenous bio-reductants that are applied, as the entrapped ionic gold is reduced to form plasmonic nanoparticles. The capacity for this reactive material to function as a plasmonically driven biosensor, called 'OjoGel' (ojo-eye), was demonstrated with the endogenous reducing agent, AA. Through applications of AA of varied concentrations to the OjoGel, we demonstrated a quantitative colorimetric relationship between red (R) hexadecimal values and concentrations of AA in said treatments. This colorimetric relationship is directly resultant of plasmonic gold nanoparticle formation within the OjoGel scaffold. Using a commercially available mobile phone-based Pixel Picker® application, the OjoGel plasmonic sensing platform opens a new avenue for easy-to-use, rapid, and quantitative biosensing with low cost and accurate results.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Ascorbic acid; Biomarker; Biosensors; Gold nanoparticles; Plasmonic nanogel; Point-of-care (POC); Tear film

Mesh:

Substances:

Year:  2018        PMID: 30149216     DOI: 10.1016/j.bios.2018.08.019

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


  6 in total

1.  Selective Naked-Eye Detection of SARS-CoV-2 Mediated by N Gene Targeted Antisense Oligonucleotide Capped Plasmonic Nanoparticles.

Authors:  Parikshit Moitra; Maha Alafeef; Ketan Dighe; Matthew B Frieman; Dipanjan Pan
Journal:  ACS Nano       Date:  2020-05-28       Impact factor: 15.881

2.  Reverse Transcription Recombinase Polymerase Amplification Coupled with CRISPR-Cas12a for Facile and Highly Sensitive Colorimetric SARS-CoV-2 Detection.

Authors:  Wei S Zhang; Jianbin Pan; Feng Li; Min Zhu; Mengting Xu; Hongyan Zhu; Yanyan Yu; Gaoxing Su
Journal:  Anal Chem       Date:  2021-02-11       Impact factor: 6.986

3.  Probing the mutation independent interaction of DNA probes with SARS-CoV-2 variants through a combination of surface-enhanced Raman scattering and machine learning.

Authors:  Parikshit Moitra; Ardalan Chaichi; Syed Mohammad Abid Hasan; Ketan Dighe; Maha Alafeef; Alisha Prasad; Manas Ranjan Gartia; Dipanjan Pan
Journal:  Biosens Bioelectron       Date:  2022-03-22       Impact factor: 12.545

Review 4.  Plasmonic nanosensors for point-of-care biomarker detection.

Authors:  Congran Jin; Ziqian Wu; John H Molinski; Junhu Zhou; Yundong Ren; John X J Zhang
Journal:  Mater Today Bio       Date:  2022-04-16

Review 5.  Prospecting Cellular Gold Nanoparticle Biomineralization as a Viable Alternative to Prefabricated Gold Nanoparticles.

Authors:  Aaron S Schwartz-Duval; Konstantin V Sokolov
Journal:  Adv Sci (Weinh)       Date:  2022-05-04       Impact factor: 17.521

Review 6.  SARS-CoV-2 and its new variants: a comprehensive review on nanotechnological application insights into potential approaches.

Authors:  Ramalingam Karthik Raja; Phuong Nguyen-Tri; Govindasamy Balasubramani; Arun Alagarsamy; Selcuk Hazir; Safa Ladhari; Alireza Saidi; Arivalagan Pugazhendhi; Arulandhu Anthoni Samy
Journal:  Appl Nanosci       Date:  2021-06-10       Impact factor: 3.869

  6 in total

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