Nanotextured Electrical Immunoassays for Ultrasensitive Protein Detection

2011 ◽  
Vol 1346 ◽  
Author(s):  
Timothy O. Mertz ◽  
Krishna Vattipalli ◽  
Tom Barrett ◽  
John Carruthers ◽  
Shalini Prasad

ABSTRACTThis paper describes the development of nanomonitors, which are electrical immunoassays for detection of multiple protein biomarkers. These devices are hybrid sensors with micro-fabricated electrode arrays on a silicon substrate, and integrated nanoporous alumina membranes to provide protein confinement and signal amplification. The disease biomarkers C-reactive protein and Myeloperoxidase have been detected by the nanomonitors in ultra-low concentrations. Proteins were detected in pure samples, human serum, and patient blood samples. The detection accuracy and sensitivity of the nanomonitors in patient samples was comparable to the Enzyme Linked Immunosorbent Assay (ELISA) method of protein detection. Nanomonitors provide the additional benefits of being rapid, label-free, sensitive, and cost effective, providing improvements over traditional protein detection methods, and having potential applications in disease diagnosis.

2007 ◽  
Vol 12 (5) ◽  
pp. 311-317 ◽  
Author(s):  
Vindhya Kunduru ◽  
Shalini Prasad

We demonstrate a technique to detect protein biomarkers contained in vulnerable coronary plaque using a platform-based microelectrode array (MEA). The detection scheme is based on the property of high specificity binding between antibody and antigen similar to most immunoassay techniques. Rapid clinical diagnosis can be achieved by detecting the amount of protein in blood by analyzing the protein's electrical signature. Polystyrene beads which act as transportation agents for the immobile proteins (antigen) are electrically aligned by application of homogenous electric fields. The principle of electrophoresis is used to produce calculated electrokinetic movement among the anti-C-reactive protein (CRP), or in other words antibody funtionalized polystyrene beads. The electrophoretic movement of antibody-functionalized polystyrene beads results in the formation of “Microbridges” between the two electrodes of interest which aid in the amplification of the antigen—antibody binding event. Sensitive electrical equipment is used for capturing the amplified signal from the “Microbridge” which essentially behaves as a conducting path between the two electrodes. The technique circumvents the disadvantages of conventional protein detection methods by being rapid, noninvasive, label-free, repeatable, and inexpensive. The same principle of detection can be applied for any receptor—ligand-based system because the technique is based only on the volume of the analyte of interest. Detection of the inflammatory coronary disease biomarker CRP is achieved at concentration levels spanning over the lower microgram/milliliter to higher order nanogram/milliliter ranges.


1994 ◽  
Vol 77 (2) ◽  
pp. 466-472 ◽  
Author(s):  
Patricia P McDonald ◽  
Richard E Almond ◽  
James P Mapes ◽  
Stephen B Friedman

Abstract Polynuclear aromatic hydrocarbons (PAHs) are chemicals of concern when they contaminate the environment. Current detection methods (gas chromatography and liquid chromatography) are laborious, time consuming, and expensive. As an alternative, we developed a competitive enzyme-linked immunosorbent assay kit that can be used on site for the detection of PAHs at 1 ppm in soil. The immunoassay kit includes all the components necessary to conduct the analysis in the field. The test consists of 3 major steps: (1) sample treatment; (2) immunoassay, in which the target compound is bound by a specific antibody followed by the development of an indicator color; and (3) interpretation of results. A sample that develops less color than the standard is interpreted as positive (soil sample contaminated with PAHs at ≥1 ppm). Validation studies demonstrated that the assay is sensitive and specific. The assay detects PAH contamination in soil at 1 ppm or greater and specifically detects the 3- and 4-ringed aromatics and most of the 5-and 6-ringed aromatics. PAH-free soil samples gave negative results in the assay at a confidence level of >95%. Matrix effects, interperson, and interlot variations were minimal. The test requires <25 min to complete. The test kit is field compatible and provides a cost effective method for screening soils at risk for PAH contamination.


2012 ◽  
Vol 1414 ◽  
Author(s):  
Rahim Esfandyarpour ◽  
Hesaam Esfandyarpour ◽  
Mehdi Javanmard ◽  
James S. Harris ◽  
Ronald W. Davis

Abstract:Here we present the development of an array of electrical nano-biosensors in a microfluidic channel, called Nanoneedle biosensors. Then we present the proof of concept study for protein detection. A Nanoneedle biosensor is a real-time, label-free, direct electrical detection platform, which is capable of high sensitivity detection, measuring the change in ionic current and impedance modulation, due to the presence or reaction of biomolecules such as proteins or nucleic acids. We show that the sensors which have been fabricated and characterized for the protein detection. We have functionalized Nanoneedle biosensors with receptors specific to a target protein using physical adsorption for immobilization. We have used biotinylated bovine serum albumin as the receptor and sterptavidin as the target analyte. The detection of streptavidin binding to the receptor protein is also presented.


F1000Research ◽  
2014 ◽  
Vol 2 ◽  
pp. 272 ◽  
Author(s):  
Jakob Vowinckel ◽  
Floriana Capuano ◽  
Kate Campbell ◽  
Michael J. Deery ◽  
Kathryn S. Lilley ◽  
...  

The combination of qualitative analysis with label-free quantification has greatly facilitated the throughput and flexibility of novel proteomic techniques. However, such methods rely heavily on robust and reproducible sample preparation procedures. Here, we benchmark a selection of in gel, on filter, and in solution digestion workflows for their application in label-free proteomics. Each procedure was associated with differing advantages and disadvantages. The in gel methods interrogated were cost effective, but were limited in throughput and digest efficiency. Filter-aided sample preparations facilitated reasonable processing times and yielded a balanced representation of membrane proteins, but led to a high signal variation in quantification experiments. Two in solution digest protocols, however, gave optimal performance for label-free proteomics. A protocol based on the detergent RapiGest led to the highest number of detected proteins at second-best signal stability, while a protocol based on acetonitrile-digestion, RapidACN, scored best in throughput and signal stability but came second in protein identification. In addition, we compared label-free data dependent (DDA) and data independent (SWATH) acquisition on a TripleTOF 5600 instrument. While largely similar in protein detection, SWATH outperformed DDA in quantification, reducing signal variation and markedly increasing the number of precisely quantified peptides.


Biosensors ◽  
2020 ◽  
Vol 10 (9) ◽  
pp. 115
Author(s):  
Lasangi Dhanapala ◽  
Colleen E. Krause ◽  
Abby L. Jones ◽  
James F. Rusling

Medical diagnostics is trending towards a more personalized future approach in which multiple tests can be digitized into patient records. In cancer diagnostics, patients can be tested for individual protein and genomic biomarkers that detect cancers at very early stages and also be used to monitor cancer progression or remission during therapy. These data can then be incorporated into patient records that could be easily accessed on a cell phone by a health care professional or the patients themselves on demand. Data on protein biomarkers have a large potential to be measured in point-of-care devices, particularly diagnostic panels that could provide a continually updated, personalized record of a disease like cancer. Electrochemical immunoassays have been popular among protein detection methods due to their inherent high sensitivity and ease of coupling with screen-printed and inkjet-printed electrodes. Integrated chips featuring these kinds of electrodes can be built at low cost and designed for ease of automation. Enzyme-linked immunosorbent assay (ELISA) features are adopted in most of these ultrasensitive detection systems, with microfluidics allowing easy manipulation and good fluid dynamics to deliver reagents and detect the desired proteins. Several of these ultrasensitive systems have detected biomarker panels ranging from four to eight proteins, which in many cases when a specific cancer is suspected may be sufficient. However, a grand challenge lies in engineering microfluidic-printed electrode devices for the simultaneous detection of larger protein panels (e.g., 50–100) that could be used to test for many types of cancers, as well as other diseases for truly personalized care.


Biosensors ◽  
2019 ◽  
Vol 9 (4) ◽  
pp. 144 ◽  
Author(s):  
Jesslyn Janssen ◽  
Mike Lambeta ◽  
Paul White ◽  
Ahmad Byagowi

There is a growing need for biosensors that are capable of efficiently and rapidly quantifying protein biomarkers, both in the biological research and clinical setting. While accurate methods for protein quantification exist, the current assays involve sophisticated techniques, take long to administer and often require highly trained personnel for execution and analysis. Herein, we explore the development of a label-free biosensor for the detection and quantification of a standard protein. The developed biosensors comprise carbon nanotubes (CNTs), a specific antibody and cellulose filtration paper. The change in electrical resistance of the CNT-based biosensor system was used to sense a standard protein, bovine serum albumin (BSA) as a proof-of-concept. The developed biosensors were found to have a limit of detection of 2.89 ng/mL, which is comparable to the performance of the typical ELISA method for BSA quantification. Additionally, the newly developed method takes no longer than 10 min to perform, greatly reducing the time of analysis compared to the traditional ELISA technique. Overall, we present a versatile, affordable, simplified and rapid biosensor device capable of providing great benefit to both biological research and clinical diagnostics.


2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e15019-e15019
Author(s):  
Qimin Quan ◽  
Joe Wilkinson ◽  
Joshua Ritchey ◽  
Alaina Kaiser ◽  
John Geanacopoulos ◽  
...  

e15019 Background: Liquid biopsy has evolved to be an important method complementary to tissue biopsy. It is not only non-invasive, but also has the potential to detect cancer in its earliest stages and monitor patients in remission. The integration of proteomics into liquid biopsy may transform the molecular diagnostics of cancer and accelerate basic and clinical oncology research. A recent study showed that adding just 8 protein biomarkers to a panel of circulating DNA biomarkers increased the diagnostic accuracy up to 98% sensitivity and 99% specificity. Proteomics also bridges the gaps of functional information lost due to post-transcriptional and post-translational modifications in the genomic approach. However, the proteogenomic approach normally requires the use of multiple different assay technologies and laboratory workflows, including mass spectrometry. Methods: NanoMosaic’s Tessie platform employs a densely integrated nanoneedle sensor array (thus named MosaicNeedles) which can be used to detect both nucleic acids and proteins in a single assay process with reduced workflow complexity, without the need for mass spectrometry. Results: The NanoMosaic platform is a label-free, digital, single molecule counting technology using nanoneedles. It achieves sub-pg/ml (̃fM) level sensitivity with 7 logs of dynamic range. An array of nanoneedles is densely integrated and manufactured with CMOS-compatible nanofabrication processes. Each nanoneedle is a single molecule biosensor that is functionalized with capture probes. The capture probe can be either an antibody for protein detection or an oligonucleotide with a specific target sequence to a DNA fragment, mRNA, or miRNA of interest. The scattering spectrum of each nanoneedle changes when an analyte binds to its surface. At low abundance, analytes that are captured can be quantitated by counting the presence or absence of a color change on each individual nanoneedle in a binary fashion. As an analyte concentration increases the binding events increase accordingly and achieve saturation. In this range, an analog analysis on the spectrum shift will be performed, thus providing a wider dynamic range, up to 7 logs. Ultrahigh level multiplex can be achieved by parallelizing each analyte specific sensing area without loss of sensitivity or dynamic range. A 10,000-plex study can be achieved with a total of 2.5 billion nanoneedles on a 50mm by 50mm consumable. In this consumable, a 2,000-plex proteome and 8,000 cell-free DNA fragments can be detected. Conclusions: In conclusion, a full proteogenomic quantification can be performed on the NanoMosaic platform in one reaction, with higher sensitivity, lower cost and higher throughput than is currently possible by traditional methods. In addition, the high-plexibility of the NanoMosaic platform allows the discovery of new biomarkers across the whole proteome without the need for mass spectrometry.


2021 ◽  
Vol 13 (13) ◽  
pp. 2436
Author(s):  
Federico Calamita ◽  
Hafiz Ali Imran ◽  
Loris Vescovo ◽  
Mohamed Lamine Mekhalfi ◽  
Nicola La Porta

Armillaria genus represents one of the most common causes of chronic root rot disease in woody plants. Prompt recognition of diseased plants is crucial to control the pathogen. However, the current disease detection methods are limited at a field scale. Therefore, an alternative approach is needed. In this study, we investigated the potential of hyperspectral techniques to identify fungi-infected vs. healthy plants of Vitis vinifera. We used the hyperspectral imaging sensor Specim-IQ to acquire leaves’ reflectance data of the Teroldego Rotaliano grapevine cultivar. We analyzed three different groups of plants: healthy, asymptomatic, and diseased. Highly significant differences were found in the near-infrared (NIR) spectral region with a decreasing pattern from healthy to diseased plants attributable to the leaf mesophyll changes. Asymptomatic plants emerged from the other groups due to a lower reflectance in the red edge spectrum (around 705 nm), ascribable to an accumulation of secondary metabolites involved in plant defense strategies. Further significant differences were observed in the wavelengths close to 550 nm in diseased vs. asymptomatic plants. We evaluated several machine learning paradigms to differentiate the plant groups. The Naïve Bayes (NB) algorithm, combined with the most discriminant variables among vegetation indices and spectral narrow bands, provided the best results with an overall accuracy of 90% and 75% in healthy vs. diseased and healthy vs. asymptomatic plants, respectively. To our knowledge, this study represents the first report on the possibility of using hyperspectral data for root rot disease diagnosis in woody plants. Although further validation studies are required, it appears that the spectral reflectance technique, possibly implemented on unmanned aerial vehicles (UAVs), could be a promising tool for a cost-effective, non-invasive method of Armillaria disease diagnosis and mapping in-field, contributing to a significant step forward in precision viticulture.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Aliya Bekmurzayeva ◽  
Zhannat Ashikbayeva ◽  
Zhuldyz Myrkhiyeva ◽  
Aigerim Nugmanova ◽  
Madina Shaimerdenova ◽  
...  

AbstractIncreased level of CD44 protein in serum is observed in several cancers and is associated with tumor burden and metastasis. Current clinically used detection methods of this protein are time-consuming and use labeled reagents for analysis. Therefore exploring new label-free and fast methods for its quantification including its detection in situ is of importance. This study reports the first optical fiber biosensor for CD44 protein detection, based on a spherical fiber optic tip device. The sensor is easily fabricated from an inexpensive material (single-mode fiber widely used in telecommunication) in a fast and robust manner through a CO2 laser splicer. The fabricated sensor responded to refractive index change with a sensitivity of 95.76 dB/RIU. The spherical tip was further functionalized with anti-CD44 antibodies to develop a biosensor and each step of functionalization was verified by an atomic force microscope. The biosensor detected a target of interest with an achieved limit of detection of 17 pM with only minor signal change to two control proteins. Most importantly, concentrations tested in this work are very broad and are within the clinically relevant concentration range. Moreover, the configuration of the proposed biosensor allows its potential incorporation into an in situ system for quantitative detection of this biomarker in a clinical setting.


F1000Research ◽  
2013 ◽  
Vol 2 ◽  
pp. 272 ◽  
Author(s):  
Jakob Vowinckel ◽  
Floriana Capuano ◽  
Kate Campbell ◽  
Michael J. Deery ◽  
Kathryn S. Lilley ◽  
...  

The combination of qualitative analysis with label-free quantification has greatly facilitated the throughput and flexibility of novel proteomic techniques. However, such methods rely heavily on robust and reproducible sample preparation procedures. Here, we benchmark a selection of in gel, on filter, and in solution digestion workflows for their application in label-free proteomics. Each procedure was associated with differing advantages and disadvantages. The in gel methods interrogated were cost effective, but were limited in throughput and digest efficiency. Filter-aided sample preparations facilitated reasonable processing times and yielded a balanced representation of membrane proteins, but led to a high signal variation in quantification experiments. Two in solution digest protocols, however, gave optimal performance for label-free proteomics. A protocol based on the detergent RapiGest led to the highest number of detected proteins at second-best signal stability, while a protocol based on acetonitrile-digestion, RapidACN, scored best in throughput and signal stability but came second in protein identification. In addition, we compared label-free data dependent (DDA) and data independent (SWATH) acquisition. While largely similar in protein detection, SWATH outperformed DDA in quantification, reducing signal variation and markedly increasing the number of precisely quantified peptides.


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