{"title":"An Optofluidic Guided-Mode Resonance Platform for Binding Kinetics Applications","authors":"Meryem Beyza Avci;Furkan Kocer;Nimet Yildirim-Tirgil;Chanunthorn Chananonnawathorn;Tossaporn Lertvanithphol;Mati Horprathum;Uraiwan Waiwijit;Sakoolkan Boonruang;Khwanchai Tantiwanichapan;Arif E. Cetin","doi":"10.1109/JSEN.2024.3515653","DOIUrl":null,"url":null,"abstract":"Guided mode resonance (GMR) sensors have emerged as transformative tools in sensing technology, offering exceptional sensitivity, selectivity, and real-time, label-free detection capabilities across diverse applications, including medical diagnostics and environmental monitoring. Their miniaturization potential, cost-effective manufacturing, and wide dynamic range make GMR sensors highly versatile and commercially attractive. In this study, we present an optofluidic GMR platform tailored for real-time analysis of biomolecular interactions without the need for optical labels. The platform integrates a custom-built inverted microscopy system, a high-resolution multispectrometer setup with a spectral resolution of 0.15 nm, and an automated multipump fluid control system, enabling precise and efficient monitoring of binding kinetics between biomolecules. Key outcomes include a refractive index sensitivity of 201.73 nm/RIU and a demonstrated detection limit of 0.15 ng/mL for IgG protein, emphasizing the platform’s suitability for highly sensitive biodetection applications. Additionally, the automated flow methodology enhances efficiency and reproducibility by streamlining chip preparation, ligand/analyte incubation, and postexperiment cleaning, minimizing manual intervention and human error. The self-cleaning feature ensures contamination-free operation, facilitating seamless multiuse experiments. Furthermore, we determined the association constant during the binding of protein A/G and IgG, underscoring the platform’s applicability to real-time binding kinetics studies. These results establish our optofluidic GMR platform as a robust and precise tool for advancing the understanding of complex biomolecular processes.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 3","pages":"4481-4493"},"PeriodicalIF":4.3000,"publicationDate":"2024-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Sensors Journal","FirstCategoryId":"103","ListUrlMain":"https://ieeexplore.ieee.org/document/10806526/","RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
Guided mode resonance (GMR) sensors have emerged as transformative tools in sensing technology, offering exceptional sensitivity, selectivity, and real-time, label-free detection capabilities across diverse applications, including medical diagnostics and environmental monitoring. Their miniaturization potential, cost-effective manufacturing, and wide dynamic range make GMR sensors highly versatile and commercially attractive. In this study, we present an optofluidic GMR platform tailored for real-time analysis of biomolecular interactions without the need for optical labels. The platform integrates a custom-built inverted microscopy system, a high-resolution multispectrometer setup with a spectral resolution of 0.15 nm, and an automated multipump fluid control system, enabling precise and efficient monitoring of binding kinetics between biomolecules. Key outcomes include a refractive index sensitivity of 201.73 nm/RIU and a demonstrated detection limit of 0.15 ng/mL for IgG protein, emphasizing the platform’s suitability for highly sensitive biodetection applications. Additionally, the automated flow methodology enhances efficiency and reproducibility by streamlining chip preparation, ligand/analyte incubation, and postexperiment cleaning, minimizing manual intervention and human error. The self-cleaning feature ensures contamination-free operation, facilitating seamless multiuse experiments. Furthermore, we determined the association constant during the binding of protein A/G and IgG, underscoring the platform’s applicability to real-time binding kinetics studies. These results establish our optofluidic GMR platform as a robust and precise tool for advancing the understanding of complex biomolecular processes.
期刊介绍:
The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following:
-Sensor Phenomenology, Modelling, and Evaluation
-Sensor Materials, Processing, and Fabrication
-Chemical and Gas Sensors
-Microfluidics and Biosensors
-Optical Sensors
-Physical Sensors: Temperature, Mechanical, Magnetic, and others
-Acoustic and Ultrasonic Sensors
-Sensor Packaging
-Sensor Networks
-Sensor Applications
-Sensor Systems: Signals, Processing, and Interfaces
-Actuators and Sensor Power Systems
-Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting
-Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data)
-Sensors in Industrial Practice