1
|
Ma Z, Zhang Z, Lv X, Zhang H, Lu K, Su G, Huang B, Chen H. Dual sensitivity-enhanced microring resonance-based integrated microfluidic biosensor for Aβ 42 detection. Talanta 2024; 275:126111. [PMID: 38657362 DOI: 10.1016/j.talanta.2024.126111] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2023] [Revised: 04/07/2024] [Accepted: 04/13/2024] [Indexed: 04/26/2024]
Abstract
Sensitive, accurate, and straightforward biosensors are pivotal in the battle against Alzheimer's disease, particularly in light of the escalating patient population. These biosensors enable early adjunctive diagnosis, thereby facilitating prompt intervention, alleviating socioeconomic burdens, and preserving individual well-being. In this study, we introduce the development of a highly sensitive add-drop dual-microring resonant microfluidic sensing chip boasting a sensitivity of 188.11 nm/RIU, marking a significant 20.7% enhancement over single microring systems. Leveraging ultra-thin Parylene C for streamlined antibody immobilization and non-destructive removal, this platform facilitates the precise quantification of the Alzheimer's disease biomarker Aβ42. Employing an immune sensing strategy that amplifies and captures antigen signals using Au-labeled antibodies, we achieve an exceptional limit of detection of 9.02 pg/mL. The designed microring-based microfluidic biosensor chip exhibits outstanding specificity and sensitivity for Aβ42 in serum samples, offering a promising avenue for the early adjunctive diagnosis of Alzheimer's disease.
Collapse
Affiliation(s)
- Zhengtai Ma
- Key Laboratory of Optoelectronic Materials and Devices, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, China; College of Materials Science and Opto-Electronic Technology, University of Chinese Academy of Sciences, Beijing, China
| | - Zan Zhang
- School of Electronic and Control Engineering, Chang'an University, Xi'an, China
| | - Xiaoqing Lv
- Key Laboratory of Optoelectronic Materials and Devices, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, China; College of Materials Science and Opto-Electronic Technology, University of Chinese Academy of Sciences, Beijing, China
| | - Huan Zhang
- Key Laboratory of Optoelectronics Technology, Ministry of Education, Beijing University of Technology, Beijing, China
| | - Kaiwei Lu
- Key Laboratory of Optoelectronic Materials and Devices, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, China; College of Materials Science and Opto-Electronic Technology, University of Chinese Academy of Sciences, Beijing, China
| | - Guoshuai Su
- Suzhou Institute of Microelectronics and Optoelectronics Integration, Suzhou, China; Suzhou Jiwei Photoelectric Co., Ltd, Suzhou, China
| | - Beiju Huang
- Key Laboratory of Optoelectronic Materials and Devices, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, China; College of Materials Science and Opto-Electronic Technology, University of Chinese Academy of Sciences, Beijing, China.
| | - Hongda Chen
- Key Laboratory of Optoelectronic Materials and Devices, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, China; College of Materials Science and Opto-Electronic Technology, University of Chinese Academy of Sciences, Beijing, China
| |
Collapse
|
2
|
Shekhar S, Bogaerts W, Chrostowski L, Bowers JE, Hochberg M, Soref R, Shastri BJ. Roadmapping the next generation of silicon photonics. Nat Commun 2024; 15:751. [PMID: 38272873 PMCID: PMC10811194 DOI: 10.1038/s41467-024-44750-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Accepted: 01/03/2024] [Indexed: 01/27/2024] Open
Abstract
Silicon photonics has developed into a mainstream technology driven by advances in optical communications. The current generation has led to a proliferation of integrated photonic devices from thousands to millions-mainly in the form of communication transceivers for data centers. Products in many exciting applications, such as sensing and computing, are around the corner. What will it take to increase the proliferation of silicon photonics from millions to billions of units shipped? What will the next generation of silicon photonics look like? What are the common threads in the integration and fabrication bottlenecks that silicon photonic applications face, and which emerging technologies can solve them? This perspective article is an attempt to answer such questions. We chart the generational trends in silicon photonics technology, drawing parallels from the generational definitions of CMOS technology. We identify the crucial challenges that must be solved to make giant strides in CMOS-foundry-compatible devices, circuits, integration, and packaging. We identify challenges critical to the next generation of systems and applications-in communication, signal processing, and sensing. By identifying and summarizing such challenges and opportunities, we aim to stimulate further research on devices, circuits, and systems for the silicon photonics ecosystem.
Collapse
Affiliation(s)
- Sudip Shekhar
- Department of Electrical & Computer Engineering, University of British Columbia, 2332 Main Mall, Vancouver, V6T1Z4, BC, Canada.
| | - Wim Bogaerts
- Department of Information Technology, Ghent University - IMEC, Technologiepark-Zwijnaarde 126, Ghent, 9052, Belgium
| | - Lukas Chrostowski
- Department of Electrical & Computer Engineering, University of British Columbia, 2332 Main Mall, Vancouver, V6T1Z4, BC, Canada
| | - John E Bowers
- Department of Electrical & Computer Engineering, University of California Santa Barbara, Santa Barbara, 93106, CA, USA
| | - Michael Hochberg
- Luminous Computing, 4750 Patrick Henry Drive, Santa Clara, 95054, CA, USA
| | - Richard Soref
- College of Science and Mathematics, University of Massachusetts Boston, 100 William T. Morrissey Blvd., Boston, 02125, MA, USA
| | - Bhavin J Shastri
- Department of Physics, Engineering Physics & Astronomy, Queen's University, 64 Bader Lane, Kingston, K7L3N6, ON, Canada.
| |
Collapse
|
3
|
Sitkov N, Ryabko A, Moshnikov V, Aleshin A, Kaplun D, Zimina T. Hybrid Impedimetric Biosensors for Express Protein Markers Detection. MICROMACHINES 2024; 15:181. [PMID: 38398911 PMCID: PMC10890403 DOI: 10.3390/mi15020181] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/31/2023] [Revised: 01/22/2024] [Accepted: 01/23/2024] [Indexed: 02/25/2024]
Abstract
Impedimetric biosensors represent a powerful and promising tool for studying and monitoring biological processes associated with proteins and can contribute to the development of new approaches in the diagnosis and treatment of diseases. The basic principles, analytical methods, and applications of hybrid impedimetric biosensors for express protein detection in biological fluids are described. The advantages of this type of biosensors, such as simplicity and speed of operation, sensitivity and selectivity of analysis, cost-effectiveness, and an ability to be integrated into hybrid microfluidic systems, are demonstrated. Current challenges and development prospects in this area are analyzed. They include (a) the selection of materials for electrodes and formation of nanostructures on their surface; (b) the development of efficient methods for biorecognition elements' deposition on the electrodes' surface, providing the specificity and sensitivity of biosensing; (c) the reducing of nonspecific binding and interference, which could affect specificity; (d) adapting biosensors to real samples and conditions of operation; (e) expanding the range of detected proteins; and, finally, (f) the development of biosensor integration into large microanalytical system technologies. This review could be useful for researchers working in the field of impedimetric biosensors for protein detection, as well as for those interested in the application of this type of biosensor in biomedical diagnostics.
Collapse
Affiliation(s)
- Nikita Sitkov
- Department of Micro and Nanoelectronics, Saint Petersburg Electrotechnical University “LETI”, 197022 Saint Petersburg, Russia; (V.M.); (T.Z.)
- Engineering Centre for Microtechnology and Diagnostics, Saint Petersburg Electrotechnical University “LETI”, 197022 Saint Petersburg, Russia
| | - Andrey Ryabko
- Laboratory of Nonequilibrium Processes in Semiconductors, Ioffe Institute, 26 Politekhnicheskaya, 194021 Saint Petersburg, Russia;
| | - Vyacheslav Moshnikov
- Department of Micro and Nanoelectronics, Saint Petersburg Electrotechnical University “LETI”, 197022 Saint Petersburg, Russia; (V.M.); (T.Z.)
| | - Andrey Aleshin
- Laboratory of Nonequilibrium Processes in Semiconductors, Ioffe Institute, 26 Politekhnicheskaya, 194021 Saint Petersburg, Russia;
| | - Dmitry Kaplun
- Artificial Intelligence Research Institute, China University of Mining and Technology, 1 Daxue Road, Xuzhou 221116, China;
- Department of Automation and Control Processes, Saint Petersburg Electrotechnical University “LETI”, 197022 Saint Petersburg, Russia
| | - Tatiana Zimina
- Department of Micro and Nanoelectronics, Saint Petersburg Electrotechnical University “LETI”, 197022 Saint Petersburg, Russia; (V.M.); (T.Z.)
- Engineering Centre for Microtechnology and Diagnostics, Saint Petersburg Electrotechnical University “LETI”, 197022 Saint Petersburg, Russia
| |
Collapse
|
4
|
Butt MA, Kazanskiy NL, Khonina SN, Voronkov GS, Grakhova EP, Kutluyarov RV. A Review on Photonic Sensing Technologies: Status and Outlook. BIOSENSORS 2023; 13:568. [PMID: 37232929 PMCID: PMC10216520 DOI: 10.3390/bios13050568] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 05/18/2023] [Accepted: 05/19/2023] [Indexed: 05/27/2023]
Abstract
In contemporary science and technology, photonic sensors are essential. They may be made to be extremely resistant to some physical parameters while also being extremely sensitive to other physical variables. Most photonic sensors may be incorporated on chips and operate with CMOS technology, making them suitable for use as extremely sensitive, compact, and affordable sensors. Photonic sensors can detect electromagnetic (EM) wave changes and convert them into an electric signal due to the photoelectric effect. Depending on the requirements, scientists have found ways to develop photonic sensors based on several interesting platforms. In this work, we extensively review the most generally utilized photonic sensors for detecting vital environmental parameters and personal health care. These sensing systems include optical waveguides, optical fibers, plasmonics, metasurfaces, and photonic crystals. Various aspects of light are used to investigate the transmission or reflection spectra of photonic sensors. In general, resonant cavity or grating-based sensor configurations that work on wavelength interrogation methods are preferred, so these sensor types are mostly presented. We believe that this paper will provide insight into the novel types of available photonic sensors.
Collapse
Affiliation(s)
| | - Nikolay L. Kazanskiy
- Samara National Research University, 443086 Samara, Russia
- IPSI RAS—Branch of the FSRC “Crystallography and Photonics” RAS, 443001 Samara, Russia
| | - Svetlana N. Khonina
- Samara National Research University, 443086 Samara, Russia
- IPSI RAS—Branch of the FSRC “Crystallography and Photonics” RAS, 443001 Samara, Russia
| | - Grigory S. Voronkov
- Ufa University of Science and Technology, Z. Validi St. 32, 450076 Ufa, Russia
| | | | | |
Collapse
|
5
|
Zhang P, Wang R. Label-Free Biosensor. BIOSENSORS 2023; 13:bios13050556. [PMID: 37232916 DOI: 10.3390/bios13050556] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Accepted: 05/16/2023] [Indexed: 05/27/2023]
Abstract
Label-free biosensors have become an indispensable tool for analyzing intrinsic molecular properties, such as mass, and quantifying molecular interactions without interference from labels, which is critical for the screening of drugs, detecting disease biomarkers, and understanding biological processes at the molecular level [...].
Collapse
Affiliation(s)
- Pengfei Zhang
- Beijing National Laboratory for Molecular Sciences, CAS Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China
| | - Rui Wang
- State Key Laboratory of Digital Medical Engineering, School of Biological Science & Medical Engineering, Southeast University, Nanjing 210096, China
| |
Collapse
|
6
|
Wang Z, Lou X. Recent Progress in Functional-Nucleic-Acid-Based Fluorescent Fiber-Optic Evanescent Wave Biosensors. BIOSENSORS 2023; 13:bios13040425. [PMID: 37185500 PMCID: PMC10135899 DOI: 10.3390/bios13040425] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 03/20/2023] [Accepted: 03/25/2023] [Indexed: 05/17/2023]
Abstract
Biosensors capable of onsite and continuous detection of environmental and food pollutants and biomarkers are highly desired, but only a few sensing platforms meet the "2-SAR" requirements (sensitivity, specificity, affordability, automation, rapidity, and reusability). A fiber optic evanescent wave (FOEW) sensor is an attractive type of portable device that has the advantages of high sensitivity, low cost, good reusability, and long-term stability. By utilizing functional nucleic acids (FNAs) such as aptamers, DNAzymes, and rational designed nucleic acid probes as specific recognition ligands, the FOEW sensor has been demonstrated to be a general sensing platform for the onsite and continuous detection of various targets ranging from small molecules and heavy metal ions to proteins, nucleic acids, and pathogens. In this review, we cover the progress of the fluorescent FNA-based FOEW biosensor since its first report in 1995. We focus on the chemical modification of the optical fiber and the sensing mechanisms for the five above-mentioned types of targets. The challenges and prospects on the isolation of high-quality aptamers, reagent-free detection, long-term stability under application conditions, and high throughput are also included in this review to highlight the future trends for the development of FOEW biosensors capable of onsite and continuous detection.
Collapse
Affiliation(s)
- Zheng Wang
- Department of Chemistry, Capital Normal University, Xisanhuan North Road. 105, Beijing 100048, China
| | - Xinhui Lou
- Department of Chemistry, Capital Normal University, Xisanhuan North Road. 105, Beijing 100048, China
| |
Collapse
|