ArticleEnvironmental science & technology2012
A microarray biosensor for multiplexed detection of microbes using grating-coupled surface plasmon resonance imaging.
Article in Environmental science & technology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
14 citing papers in PubMed, 46 citations in OpenAlex.
- A π-Configuration Plasmonic Dual Surface Plasmon Resonance Fiber Optic Sensor for Multi-Analyte Detection.Sensors (Basel, Switzerland) · 2026Article
- Challenges and perspectives of multi-virus biosensing techniques: A review.Analytica chimica acta · 2023Review
- Development of a biomarker signature using grating-coupled fluorescence plasmonic microarray for diagnosis of MIS-C.Frontiers in bioengineering and biotechnology · 2023Article
- Early detection of bacteria using SPR imaging and event counting: experiments withRSC advances · 2019Article
- Selective UropathogenicSensors (Basel, Switzerland) · 2018Article
- Recent strategies for the diagnosis of early Lyme disease.Science progress · 2018Review
- Article
- Fluorescence-Free Biosensor Methods in Detection of Food Pathogens with a Special Focus on Listeria monocytogenes.Biosensors · 2017Review
- Integration of Curved D-Type Optical Fiber Sensor with Microfluidic Chip.Sensors (Basel, Switzerland) · 2016Article
- Recent advances in M13 bacteriophage-based optical sensing applications.Nano convergence · 2016Review
- Biosensors for the Detection of Food Pathogens.Foods (Basel, Switzerland) · 2014Review
- Sensitivity enhancement of a grating-based surface plasmon-coupled emission (SPCE) bionsor chip using gold thickness.Chemical physics letters · 2014Article
- Article
- Mining the salivary proteome with grating-coupled surface plasmon resonance imaging and surface plasmon coupled emission microarrays.Current protocols in toxicology · 2012Article
Corrections and comments
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Authors and funding
10 authors at 1 institution in 1 country.
Funding
Abstract
Grating-coupled surface plasmon resonance imaging (GCSPRI) utilizes an optical diffraction grating embossed on a gold-coated sensor chip to couple collimated incident light into surface plasmons. The angle at which this coupling occurs is sensitive to the capture of analyte at the chip surface. This approach permits the use of disposable biosensor chips that can be mass-produced at low cost and spotted in microarray format to greatly increase multiplexing capabilities. The current GCSPRI instrument has the capacity to simultaneously measure binding at over 1000 unique, discrete regions of interest (ROIs) by utilizing a compact microarray of antibodies or other specific capture molecules immobilized on the sensor chip. In this report, we describe the use of GCSPRI to directly detect multiple analytes over a large dynamic range, including soluble protein toxins, bacterial cells, and viruses, in near real-time. GCSPRI was used to detect a variety of agents that would be useful for diagnostic and environmental sensing purposes, including macromolecular antigens, a nontoxic form of Pseudomonas aeruginosa exotoxin A (ntPE), Bacillus globigii, Mycoplasma hyopneumoniae, Listeria monocytogenes, Escherichia coli, and M13 bacteriophage. These studies indicate that GCSPRI can be used to simultaneously assess the presence of toxins and pathogens, as well as quantify specific antibodies to environmental agents, in a rapid, label-free, and highly multiplexed assay requiring nanoliter amounts of capture reagents.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.