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Borga P, Milesi F, Peserico N, Groppi C, Damin F, Sola L, Piedimonte P, Fincato A, Sampietro M, Chiari M, Melloni A, Bertacco R. Active Opto-Magnetic Biosensing with Silicon Microring Resonators. SENSORS (BASEL, SWITZERLAND) 2022; 22:3292. [PMID: 35590981 PMCID: PMC9105977 DOI: 10.3390/s22093292] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 04/20/2022] [Accepted: 04/23/2022] [Indexed: 02/04/2023]
Abstract
Integrated optical biosensors are gaining increasing attention for their exploitation in lab-on-chip platforms. The standard detection method is based on the measurement of the shift of some optical quantity induced by the immobilization of target molecules at the surface of an integrated optical element upon biomolecular recognition. However, this requires the acquisition of said quantity over the whole hybridization process, which can take hours, during which any external perturbation (e.g., temperature and mechanical instability) can seriously affect the measurement and contribute to a sizeable percentage of invalid tests. Here, we present a different assay concept, named Opto-Magnetic biosensing, allowing us to optically measure off-line (i.e., post hybridization) tiny variations of the effective refractive index seen by microring resonators upon immobilization of magnetic nanoparticles labelling target molecules. Bound magnetic nanoparticles are driven in oscillation by an external AC magnetic field and the corresponding modulation of the microring transfer function, due to the effective refractive index dependence on the position of the particles above the ring, is recorded using a lock-in technique. For a model system of DNA biomolecular recognition we reached a lowest detected concentration on the order of 10 pm, and data analysis shows an expected effective refractive index variation limit of detection of 7.5×10-9 RIU, in a measurement time of just a few seconds.
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Affiliation(s)
- Piero Borga
- Dipartimento di Fisica, Politecnico di Milano, Via G. Colombo 81, 20133 Milano, Italy; (F.M.); (C.G.); (R.B.)
| | - Francesca Milesi
- Dipartimento di Fisica, Politecnico di Milano, Via G. Colombo 81, 20133 Milano, Italy; (F.M.); (C.G.); (R.B.)
| | - Nicola Peserico
- Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Via Ponzio, 34/5, 20133 Milano, Italy; (N.P.); (P.P.); (M.S.); (A.M.)
| | - Chiara Groppi
- Dipartimento di Fisica, Politecnico di Milano, Via G. Colombo 81, 20133 Milano, Italy; (F.M.); (C.G.); (R.B.)
| | - Francesco Damin
- Istituto di Scienze e Tecnologie Chimiche “Giulio Natta” SCITEC CNR, Via Mario Bianco 9, 20131 Milano, Italy; (F.D.); (L.S.); (M.C.)
| | - Laura Sola
- Istituto di Scienze e Tecnologie Chimiche “Giulio Natta” SCITEC CNR, Via Mario Bianco 9, 20131 Milano, Italy; (F.D.); (L.S.); (M.C.)
| | - Paola Piedimonte
- Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Via Ponzio, 34/5, 20133 Milano, Italy; (N.P.); (P.P.); (M.S.); (A.M.)
| | | | - Marco Sampietro
- Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Via Ponzio, 34/5, 20133 Milano, Italy; (N.P.); (P.P.); (M.S.); (A.M.)
| | - Marcella Chiari
- Istituto di Scienze e Tecnologie Chimiche “Giulio Natta” SCITEC CNR, Via Mario Bianco 9, 20131 Milano, Italy; (F.D.); (L.S.); (M.C.)
| | - Andrea Melloni
- Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Via Ponzio, 34/5, 20133 Milano, Italy; (N.P.); (P.P.); (M.S.); (A.M.)
| | - Riccardo Bertacco
- Dipartimento di Fisica, Politecnico di Milano, Via G. Colombo 81, 20133 Milano, Italy; (F.M.); (C.G.); (R.B.)
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Abstract
Optical biosensors have exhibited worthwhile performance in detecting biological systems and promoting significant advances in clinical diagnostics, drug discovery, food process control, and environmental monitoring. Without complexity in their pretreatment and probable influence on the nature of target molecules, these biosensors have additional advantages such as high sensitivity, robustness, reliability, and potential to be integrated on a single chip. In this review, the state of the art optical biosensor technologies, including those based on surface plasmon resonance (SPR), optical waveguides, optical resonators, photonic crystals, and optical fibers, are presented. The principles for each type of biosensor are concisely introduced and particular emphasis has been placed on recent achievements. The strengths and weaknesses of each type of biosensor have been outlined as well. Concluding remarks regarding the perspectives of future developments are discussed.
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Affiliation(s)
- Chen Chen
- College of Information Science and Technology, Dalian Maritime University, Dalian, 116026, China.
| | - Junsheng Wang
- College of Information Science and Technology, Dalian Maritime University, Dalian, 116026, China.
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Milvich J, Kohler D, Freude W, Koos C. Surface sensing with integrated optical waveguides: a design guideline. OPTICS EXPRESS 2018; 26:19885-19906. [PMID: 30119309 DOI: 10.1364/oe.26.019885] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/14/2018] [Accepted: 05/13/2018] [Indexed: 06/08/2023]
Abstract
Waveguide-based biochemical sensors exploit detection of target molecules that bind specifically to a functionalized waveguide surface. For optimum sensitivity, the waveguide should be designed to mediate maximum influence of the surface layer on the effective refractive index of the guided mode. In this paper, we define a surface sensitivity metric which quantifies this impact and which allows to broadly compare different waveguide types and integration platforms. Focusing on silicon nitride and silicon-on-insulator (SOI) as the most common material systems, we systematically analyze and optimize a variety of waveguide types, comprising simple strips, slot and double slot structures, as well as sub-wavelength gratings (SWG). Comparing the highest achievable surface sensitivities, we provide universal design guidelines and physically interpret the observed trends and limitations. Our findings allow to select the appropriate WG platform and to optimize sensitivity for a given measurement task.
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Viphavakit C, Komodromos M, Themistos C, Mohammed WS, Kalli K, Rahman BMA. Optimization of a horizontal slot waveguide biosensor to detect DNA hybridization. APPLIED OPTICS 2015; 54:4881-4888. [PMID: 26192527 DOI: 10.1364/ao.54.004881] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
A full-vectorial H-field formulation-based finite element approach is used to optimize a biosensor structure incorporating a horizontal slot waveguide. It is designed to detect DNA hybridization through the change of the effective index of the waveguide structure. The key parameters, such as normalized power confinement, power density, change in effective index, and sensitivity are presented by optimizing the device parameters of the slot waveguide. It is shown here that a 90.0 μm long compact Mach-Zehnder section can be designed with horizontal slot waveguide to detect DNA hybridization and for a ring resonator arrangement a sensitivity of 893.5 nm/RIU is obtained.
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