High performance multi-spectral interrogation for surface plasmon resonance imaging sensors

Середа, А. П.; Moreau, Julien; Canva, Michael; Maillart, Emmanuel

doi:10.1016/j.bios.2013.10.049

Cited by 34 publications

(25 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It has been widely used and commercialized by Biacore GE and GWC Technologies for high-throughput analysis in immunosensing [4], DNA hybridization [7], protein interactions [9][10][11], and cellular analysis [12,13]. However, for the detection of multiple interactions simultaneously, it is usually not practical to obtain a homogeneous and optimal response over the entire analyzed surface with the choice of a unique operating point [14].…”

Section: Intensity Interrogation Sprmentioning

confidence: 99%

“…It took the system 60 s to measure the SPR dips of the 2D array for an area of 8 × 8 mm. Recently, to further speed up the measurements, an optimized algorithm based on five parameters was developed for spectral SPRi sensors, with which the measurement time of the SPR dip was reduced dramatically to 10 s for 2D arrays [14].…”

Section: Wavelength Interrogation Sprmentioning

confidence: 99%

See 1 more Smart Citation

Recent advances in surface plasmon resonance imaging: detection speed, sensitivity, and portability

et al. 2017

View full text Add to dashboard Cite

Surface plasmon resonance (SPR) biosensor is a powerful tool for studying the kinetics of biomolecular interactions because they offer unique real-time and label-free measurement capabilities with high detection sensitivity. In the past two decades, SPR technology has been successfully commercialized and its performance has continuously been improved with lots of engineering efforts. In this review, we describe the recent advances in SPR technologies. The developments of SPR technologies focusing on detection speed, sensitivity, and portability are discussed in details. The incorporation of imaging techniques into SPR sensing is emphasized. In addition, our SPR imaging biosensors based on the scanning of wavelength by a solid-state tunable wavelength filter are highlighted. Finally, significant advances of the vast developments in nanotechnology-associated SPR sensing for sensitivity enhancements are also reviewed. It is hoped that this review will provide some insights for researchers who are interested in SPR sensing, and help them develop SPR sensors with better sensitivity and higher throughput.

show abstract

Section: Intensity Interrogation Sprmentioning

confidence: 99%

Section: Wavelength Interrogation Sprmentioning

confidence: 99%

Recent advances in surface plasmon resonance imaging: detection speed, sensitivity, and portability

et al. 2017

View full text Add to dashboard Cite

show abstract

“…However, these requirements severely restrict the choice of operating point and dynamic range over a large sensor surface area and the capacity to simultaneously perform detection of multiple interactions. 11 In the angular interrogation mode, the shift of the SPR dip can be monitored by continuous scanning of the SPR angular spectrograph. Compared to the intensity measurement mode, the angular interrogation mode has a wider dynamic range of detection.…”

Section: Introductionmentioning

confidence: 99%

Fast spectral surface plasmon resonance imaging sensor for real-time high-throughput detection of biomolecular interactions

et al. 2016

View full text Add to dashboard Cite

A fast surface plasmon resonance (SPR) imaging biosensor system based on wavelength interrogation using a liquid crystal tunable filter (LCTF) is presented. The system combines the merits of wide-dynamic detection range offered by the spectral approach and multiplexed high-throughput data collection with a two-dimensional (2-D) biosensor array. The key feature of the reported scheme is a feedback loop that drives the LCTF to achieve fast tracking of the SPR dip movement caused by the binding of target molecules to the sensor surface. Experimental results show that the system is capable of completing an SPR dip measurement within 4 s. Based on using a spectral window of about 100 nm, the experimental dynamic detection range and refractive index resolution are 4.63×10?2??RIU and 5.87×10?6??RIU, respectively. As also demonstrated herein using 2-D microsensor arrays, among the spectral SPR sensors, the reported system is most suitable for multiplexed label-free biosensing applications.

show abstract

“…33,38,39 Currently, the most common read-out and quantification scheme for LSPR sensors employs a stable, broad-band light source for illumination and a high resolution optical spectrometer for recording the transmission or reflection spectra. 3,6,40–43 Alternatively, a tunable light source and a single photodiode can be used to obtain the same spectral information. Although a ‘peak/valley tracking’ based detection approach is quite effective in accurately registering and quantifying the sensor response, it requires optical hardware which can retrieve comprehensive spectral information, over a broad wavelength range of e.g.…”

mentioning

confidence: 99%

Computational Sensing Using Low-Cost and Mobile Plasmonic Readers Designed by Machine Learning

et al. 2017

View full text Add to dashboard Cite

Plasmonic sensors have been used for a wide-range of biological and chemical sensing applications. Emerging nano-fabrication techniques have enabled these sensors to be cost-effectively mass-manufactured onto various types of substrates. To accompany these advances, major improvements in sensor read-out devices must also be achieved to fully realize the broad impact of plasmonic nano-sensors. Here, we propose a machine learning framework which can be used to design low-cost and mobile multi-spectral plasmonic readers that do not use traditionally employed bulky and expensive stabilized light-sources or high-resolution spectrometers. By training a feature selection model over a large set of fabricated plasmonic nano-sensors, we select the optimal set of illumination light-emitting-diodes needed to create a minimum-error refractive index prediction model, which statistically takes into account the varied spectral responses and fabrication-induced variability of a given sensor design. This computational sensing approach was experimentally validated using a modular mobile plasmonic reader. We tested different plasmonic sensors with hexagonal and square periodicity nano-hole arrays, and revealed that the optimal illumination bands differ from those that are ‘intuitively’ selected based on the spectral features of the sensor, e.g., transmission peaks or valleys. This framework provides a universal tool for the plasmonics community to design low-cost and mobile multi-spectral readers, helping the translation of nano-sensing technologies to various emerging applications such as wearable sensing, personalized medicine, and point-of-care diagnostics. Beyond plasmonics, other types of sensors that operate based on spectral changes can broadly benefit from this approach, including e.g., aptamer-enabled nanoparticle assays and graphene-based sensors, among others.

show abstract

High performance multi-spectral interrogation for surface plasmon resonance imaging sensors

Cited by 34 publications

References 21 publications

Recent advances in surface plasmon resonance imaging: detection speed, sensitivity, and portability

Recent advances in surface plasmon resonance imaging: detection speed, sensitivity, and portability

Fast spectral surface plasmon resonance imaging sensor for real-time high-throughput detection of biomolecular interactions

Computational Sensing Using Low-Cost and Mobile Plasmonic Readers Designed by Machine Learning

Contact Info

Product

Resources

About