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Bryan MR, Butt JN, Bucukovski J, Miller BL. Biosensing with Silicon Nitride Microring Resonators Integrated with an On-Chip Filter Bank Spectrometer. ACS Sens 2023; 8:739-747. [PMID: 36787432 PMCID: PMC9972465 DOI: 10.1021/acssensors.2c02276] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/16/2023]
Abstract
Wearable, mobile, and point-of-care (POC) sensors comprise a rapidly expanding field of devices aimed at improving human health by relaying real-time biometric data such as heart rate and glucose levels. The current scope of what these devices can offer healthcare is limited by their inability to measure biomarkers associated with inflammation, well-being, and disease. Photonic biosensors that integrate sensing elements directly with spectrometers, lasers, and detectors are an attractive approach to enabling POC sensors, with distinct advantages in terms of size, weight, power consumption, and cost. Here, we have demonstrated for the first time the integration of photonic microring resonator biosensors with an on-chip microring filter bank spectrometer for the controlled detection of inflammatory biomarker C-reactive protein (CRP) in serum. We demonstrate that sensor and spectrometer performance is tolerant of temperature variation, as temperature dependence moves in parallel. Finally, we assess the impact of manufacturing variability on the 300 mm wafer scale on the performance of the spectrometer. Taken together, these results suggest that integration of on-chip ring filter bank spectrometers with ring resonator-based biosensors constitutes an attractive approach toward cost-effective integrated sensor development.
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Affiliation(s)
- Michael R Bryan
- Department of Dermatology, University of Rochester, Rochester, New York 14627, United States.,Department of Biochemistry and Biophysics, University of Rochester, Rochester, New York 14627, United States
| | - Jordan N Butt
- Department of Chemistry, University of Rochester, Rochester, New York 14627, United States
| | - Joseph Bucukovski
- Department of Biochemistry and Biophysics, University of Rochester, Rochester, New York 14627, United States
| | - Benjamin L Miller
- Department of Dermatology, University of Rochester, Rochester, New York 14627, United States.,Department of Biochemistry and Biophysics, University of Rochester, Rochester, New York 14627, United States.,Institute of Optics, University of Rochester, Rochester, New York 14627, United States
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Steiner DJ, Cognetti JS, Luta EP, Klose AM, Bucukovski J, Bryan MR, Schmuke JJ, Nguyen-Contant P, Sangster MY, Topham DJ, Miller BL. Array-based analysis of SARS-CoV-2, other coronaviruses, and influenza antibodies in convalescent COVID-19 patients. Biosens Bioelectron 2020; 169:112643. [PMID: 33007615 PMCID: PMC7522665 DOI: 10.1016/j.bios.2020.112643] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Revised: 09/11/2020] [Accepted: 09/18/2020] [Indexed: 02/07/2023]
Abstract
Detection of antibodies to upper respiratory pathogens is critical to surveillance, assessment of the immune status of individuals, vaccine development, and basic biology. The urgent need for antibody detection tools has proven particularly acute in the COVID-19 era. We report a multiplex label-free antigen microarray on the Arrayed Imaging Reflectometry (AIR) platform for detection of antibodies to SARS-CoV-2, SARS-CoV-1, MERS, three circulating coronavirus strains (HKU1, 229E, OC43) and three strains of influenza. We find that the array is readily able to distinguish uninfected from convalescent COVID-19 subjects, and provides quantitative information about total Ig, as well as IgG- and IgM-specific responses.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Mark Y Sangster
- Microbiology and Immunology, University of Rochester, Rochester, NY 14642, USA
| | - David J Topham
- Microbiology and Immunology, University of Rochester, Rochester, NY 14642, USA
| | - Benjamin L Miller
- Biochemistry and Biophysics, USA; Biomedical Engineering, USA; Dermatology, USA.
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Zhang H, Henry C, Anderson CS, Nogales A, DeDiego ML, Bucukovski J, Martinez-Sobrido L, Wilson PC, Topham DJ, Miller BL. Crowd on a Chip: Label-Free Human Monoclonal Antibody Arrays for Serotyping Influenza. Anal Chem 2018; 90:9583-9590. [PMID: 29985597 PMCID: PMC6082710 DOI: 10.1021/acs.analchem.8b02479] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Rapid changes in influenza A virus (IAV) antigenicity create challenges in surveillance, disease diagnosis, and vaccine development. Further, serological methods for studying antigenic properties of influenza viruses often rely on animal models and therefore may not fully reflect the dynamics of human immunity. We hypothesized that arrays of human monoclonal antibodies (hmAbs) to influenza could be employed in a pattern-recognition approach to expedite IAV serology and to study the antigenic evolution of newly emerging viruses. Using the multiplex, label-free Arrayed Imaging Reflectometry (AIR) platform, we have demonstrated that such arrays readily discriminated among various subtypes of IAVs, including H1, H3 seasonal strains, and avian-sourced human H7 viruses. Array responses also allowed the first determination of antigenic relationships among IAV strains directly from hmAb responses. Finally, correlation analysis of antibody binding to all tested IAV subtypes allowed efficient identification of broadly reactive clones. In addition to specific applications in the context of understanding influenza biology with potential utility in "universal" flu vaccine development, these studies validate AIR as a platform technology for studying antigenic properties of viruses and also antibody properties in a high-throughput manner. We further anticipate that this approach will facilitate advances in the study of other viral pathogens.
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Affiliation(s)
- Hanyuan Zhang
- Department of Dermatology, University of Rochester Medical Center, Rochester, New York 14642
- Materials Science Program, University of Rochester, Rochester, New York 14627
| | - Carole Henry
- Department of Medicine, University of Chicago, Chicago, Illinois 60637
| | - Christopher S. Anderson
- Department of Microbiology and Immunology, University of Rochester Medical Center, Rochester, New York 14642
| | - Aitor Nogales
- Department of Microbiology and Immunology, University of Rochester Medical Center, Rochester, New York 14642
| | - Marta L. DeDiego
- Department of Microbiology and Immunology, University of Rochester Medical Center, Rochester, New York 14642
| | - Joseph Bucukovski
- Department of Dermatology, University of Rochester Medical Center, Rochester, New York 14642
| | - Luis Martinez-Sobrido
- Department of Microbiology and Immunology, University of Rochester Medical Center, Rochester, New York 14642
| | - Patrick C. Wilson
- Department of Medicine, University of Chicago, Chicago, Illinois 60637
| | - David J. Topham
- Department of Microbiology and Immunology, University of Rochester Medical Center, Rochester, New York 14642
| | - Benjamin L. Miller
- Department of Dermatology, University of Rochester Medical Center, Rochester, New York 14642
- Materials Science Program, University of Rochester, Rochester, New York 14627
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Bucukovski J, Latorre-Margalef N, Stallknecht DE, Miller BL. A Multiplex Label-Free Approach to Avian Influenza Surveillance and Serology. PLoS One 2015; 10:e0134484. [PMID: 26241048 PMCID: PMC4524619 DOI: 10.1371/journal.pone.0134484] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2015] [Accepted: 07/10/2015] [Indexed: 01/06/2023] Open
Abstract
Influenza serology has traditionally relied on techniques such as hemagglutination inhibition, microneutralization, and ELISA. These assays are complex, challenging to implement in a format allowing detection of several types of antibody-analyte interactions at once (multiplex), and troublesome to implement in the field. As an alternative, we have developed a hemagglutinin microarray on the Arrayed Imaging Reflectometry (AIR) platform. AIR provides sensitive, rapid, and label-free multiplex detection of targets in complex analyte samples such as serum. In preliminary work, we demonstrated the application of this array to the testing of human samples from a vaccine trial. Here, we report the application of an expanded label-free hemagglutinin microarray to the analysis of avian serum samples. Samples from influenza virus challenge experiments in mallards yielded strong, selective detection of antibodies to the challenge antigen in most cases. Samples acquired in the field from mallards were also analyzed, and compared with viral hemagglutinin inhibition and microneutralization assays. We find that the AIR hemagglutinin microarray can provide a simple and robust alternative to standard methods, offering substantially greater information density from a simple workflow.
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Affiliation(s)
- Joseph Bucukovski
- Department of Biomedical Engineering, University of Rochester, Rochester, New York, United States of America
- Department of Dermatology, University of Rochester, Rochester, New York, United States of America
| | - Neus Latorre-Margalef
- Department of Population Health, College of Veterinary Medicine, University of Georgia, Athens, Georgia, United States of America
| | - David E. Stallknecht
- Department of Population Health, College of Veterinary Medicine, University of Georgia, Athens, Georgia, United States of America
| | - Benjamin L. Miller
- Department of Biomedical Engineering, University of Rochester, Rochester, New York, United States of America
- Department of Dermatology, University of Rochester, Rochester, New York, United States of America
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