Literature DB >> 28527901

Photonic ring resonance is a versatile platform for performing multiplex immunoassays in real time.

Sasi Mudumba1, Sophia de Alba2, Randy Romero2, Carli Cherwien2, Alice Wu2, Jue Wang2, Martin A Gleeson2, Muzammil Iqbal2, Rufus W Burlingame2.   

Abstract

Photonic ring resonance is a property of light where in certain circumstances specific wavelengths are trapped in a ring resonator. Sensors based on silicon photonic ring resonators function by detecting the interaction between light circulating inside the sensor and matter deposited on the sensor surface. Binding of biological material results in a localized change in refractive index on the sensor surface, which affects the circulating optical field extending beyond the sensor boundary. That is, the resonant wavelength will change when the refractive index of the medium around the ring resonator changes. Ring resonators can be fabricated onto small silicon chips, allowing development of a miniature multiplex array of ring based biosensors. This paper describes the properties of such a system when responding to the refractive index changed in a simple and precise way by changing the ionic strength of the surrounding media, and in a more useful way by the binding of macromolecules to the surface above the resonators. Specifically, a capture immunoassay is described that measures the change of resonant wavelength as a patient serum sample with anti-SS-A autoantibodies is flowed over a chip spotted with SS-A antigen and amplified with anti-IgG. The technology has been miniaturized and etched into a 4×6mm silicon chip that can measure 32 different reactions in quadruplicate simultaneously. The variability between 128 rings on a chip as measured by 2M salt assays averaged 0.6% CV. The output of the assays is the average shift per cluster of 4 rings, and the assays averaged 0.5% CV between clusters. The variability between chips averaged 1.8%. Running the same array on multiple instruments showed that after some improvements to the wavelength referencing system, the upper boundary of variation was 3% between 13 different instruments. The immunoassay displayed about 2% higher variability than the salt assays. There are several outstanding features of this system. The amount of antigen used on the chip for each test is around 200 picograms, only a few microliters of sample is necessary, and the assays take <10min.
Copyright © 2017 Genalyte Inc. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Anti-nuclear antibodies; Immunoassay; Multiplex; Silicon chip

Mesh:

Substances:

Year:  2017        PMID: 28527901     DOI: 10.1016/j.jim.2017.05.005

Source DB:  PubMed          Journal:  J Immunol Methods        ISSN: 0022-1759            Impact factor:   2.303


  7 in total

1.  Evaluation of the genalyte maverick SARS-CoV-2 multi-antigen serology panel.

Authors:  Leslie J Donato; Elitza S Theel; Nikola A Baumann; Amber R Bridgeman; Joseph H Blommel; Yanhong Wu; Brad S Karon
Journal:  J Clin Virol Plus       Date:  2021-06-19

2.  Point-of-Care and Label-Free Detection of Porcine Reproductive and Respiratory Syndrome and Swine Influenza Viruses Using a Microfluidic Device with Photonic Integrated Circuits.

Authors:  Georgios Manessis; Maciej Frant; Grzegorz Wozniakowski; Lapo Nannucci; Martina Benedetti; Lilla Denes; Balka Gyula; Athanasios I Gelasakis; Clare Squires; Sara Recuero; Carlos Sanchez; Amadeu Griol; Alessandro Giusti; Ioannis Bossis
Journal:  Viruses       Date:  2022-05-07       Impact factor: 5.818

3.  Recent advances in environmental and clinical analysis using microring resonator-based sensors.

Authors:  Maria C Cardenosa-Rubio; Heather M Robison; Ryan C Bailey
Journal:  Curr Opin Environ Sci Health       Date:  2019-09-14

4.  Target specific serologic analysis of COVID-19 convalescent plasma.

Authors:  Sachie Ikegami; Robert C Benirschke; Hossein Fakhrai-Rad; Mohammad H Motamedi; Rick Hockett; Sean David; Hong Kee Lee; Jason Kang; Thomas J Gniadek
Journal:  PLoS One       Date:  2021-04-28       Impact factor: 3.240

5.  Risk assessment of latent tuberculosis infection through a multiplexed cytokine biosensor assay and machine learning feature selection.

Authors:  Heather M Robison; Cole A Chapman; Ryan C Bailey; Patricio Escalante; Haowen Zhou; Courtney L Erskine; Elitza Theel; Tobias Peikert; Cecilia S Lindestam Arlehamn; Alessandro Sette; Colleen Bushell; Michael Welge; Ruoqing Zhu
Journal:  Sci Rep       Date:  2021-10-15       Impact factor: 4.379

6.  Pre-COVID-19 Immunity to Common Cold Human Coronaviruses Induces a Recall-Type IgG Response to SARS-CoV-2 Antigens Without Cross-Neutralisation.

Authors:  Makoto Miyara; Melissa Saichi; Delphine Sterlin; François Anna; Stéphane Marot; Alexis Mathian; Mo Atif; Paul Quentric; Audrey Mohr; Laetitia Claër; Christophe Parizot; Karim Dorgham; Hans Yssel; Jehane Fadlallah; Thibaut Chazal; Julien Haroche; Charles-Edouard Luyt; Julien Mayaux; Alexandra Beurton; Neila Benameur; David Boutolleau; Sonia Burrel; Sophia de Alba; Sasi Mudumba; Rick Hockett; Cary Gunn; Pierre Charneau; Vincent Calvez; Anne-Geneviève Marcelin; Alain Combes; Alexandre Demoule; Zahir Amoura; Guy Gorochov
Journal:  Front Immunol       Date:  2022-02-11       Impact factor: 7.561

7.  Detection in whole blood of autoantibodies for the diagnosis of connective tissue diseases in near patient testing condition.

Authors:  Makoto Miyara; Jean-Luc Charuel; Sasi Mudumba; Alice Wu; Pascale Ghillani-Dalbin; Zahir Amoura; Rufus W Burlingame; Lucile Musset
Journal:  PLoS One       Date:  2018-08-30       Impact factor: 3.240

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.