Nanomonitors: Nanomaterial Based Devices Towards Clinical Immunoassays

2008 ◽  
Vol 1095 ◽  
Author(s):  
Shalini Prasad ◽  
Manish Bothara ◽  
Ravikiran Reddy ◽  
John Carruthers ◽  
Thomas Barrett
Keyword(s):  
Specific Protein ◽  
Solid Substrate ◽  
Optical Methods ◽  
Signal Acquisition ◽  
Label Free ◽  
Electrical Detection ◽  
Protein Biomarkers ◽  
Accurate Identification ◽  
Non Invasive ◽  
Diagnostic Applications

AbstractThe immobilization of biomolecules on a solid substrate and their localization in “small” regions are major requirements for a variety of biomedical diagnostic applications, where rapid and accurate identification of multiple biomolecules is essential. In this specific application we have fabricated nanomitors for identifying specific protein biomarkers based on the electrical detection of antibody-antigen binding events.The nanomonitor, lab-on-a-chip device technology is based on electrical detection of protein biomarkers. It is based on developing high density, low volume multi-well plate devices. The scientific core of this technology lies in integrating nanomaterial with micro fabricated chip platforms and exploiting the improve surface area to volume to improve the detection.The devices that have been developed utilize electrical detection mechanisms where capacitance and conductance changes due to protein binding are used as “signatures” for biomarker profiling. In comparison to optical methods, the electrical detection technique is non-invasive as well as a label free. The signal acquisition is simple and it uses the existing data acquisition and signal analysis methods

scholarly journals Non-Invasive Identification of Nutrient Components in Grain

Molecules ◽  
2021 ◽  
Vol 26 (11) ◽  
pp. 3124
Author(s):  
Charles Farber ◽  
A. S. M. Faridul Islam ◽  
Endang M. Septiningsih ◽  
Michael J. Thomson ◽  
Dmitry Kurouski
Keyword(s):  
Rice Variety ◽  
Nutrient Content ◽  
Plant Diseases ◽  
Variety Identification ◽  
Successful Implementation ◽  
Label Free ◽  
Accurate Identification ◽  
Analytical Technique ◽  
Non Invasive ◽  
Digital Farming

Digital farming is a modern agricultural concept that aims to maximize the crop yield while simultaneously minimizing the environmental impact of farming. Successful implementation of digital farming requires development of sensors to detect and identify diseases and abiotic stresses in plants, as well as to probe the nutrient content of seeds and identify plant varieties. Experimental evidence of the suitability of Raman spectroscopy (RS) for confirmatory diagnostics of plant diseases was previously provided by our team and other research groups. In this study, we investigate the potential use of RS as a label-free, non-invasive and non-destructive analytical technique for the fast and accurate identification of nutrient components in the grains from 15 different rice genotypes. We demonstrate that spectroscopic analysis of intact rice seeds provides the accurate rice variety identification in ~86% of samples. These results suggest that RS can be used for fully automated, fast and accurate identification of seeds nutrient components.

Platform based Detection Technologies from Micro scale to Nanoscale

2006 ◽  
Vol 915 ◽  
Author(s):  
Vindhya Kundura ◽  
Sudhaprasanna Kumar Padigi ◽  
Shalini Prasad
Keyword(s):  
Rapid Identification ◽  
Electrical Signal ◽  
Label Free ◽  
C Reactive Protein ◽  
Protein Biomarkers ◽  
Reactive Protein ◽  
Non Invasive ◽  
Binding Event ◽  
High Throughput Detection ◽  
Detection Technologies

AbstractRapid, multiplexed, high throughput detection of proteins is essential for the development of protein biomarkers as sensors. Electrical alignment and detection is a non-invasive, label free technique for rapid identification of bimolecular. We present here a micro fabricated platform based detector for rapidly identifying protein biomarkers present in atherosclerotic plaque for rapid clinical diagnosis of arterial obstruction. This is achieved by electrical assembly of polystyrene beads functionalized with specific antibody receptors (anti-C-reactive protein) .The electrical assembly is achieved using electrophoresis. The polystyrene “bridge” micro structure formed due to electrical assembly aids in the amplification of the antibody-antigen binding event. Antigen (C-reactive protein) at nanogram / ml concentration was detected when binding of the antigen resulted in an amplification of the electrical signal that was measured from the base microelectrode platform. This technique is a demonstration of the application of microscale technology (electrodes) in nanoscale (protein) electrical detection.

Nano Monitors for Identification of Vulnerable Cardio-vascular Plaque

2006 ◽  
Vol 926 ◽  
Author(s):  
Shalini Prasad ◽  
Thomas Barrett ◽  
John Carruthers
Keyword(s):  
Complex Disease ◽  
Plaque Rupture ◽  
Coronary Plaque ◽  
Label Free ◽  
Protein Markers ◽  
Protein Biomarkers ◽  
Alumina Membrane ◽  
Non Invasive ◽  
Highly Sensitive ◽  
Cardio Vascular

AbstractWe describe highly sensitive, non–invasive, label-free, electrical detection of protein biomarkers using nanoporous alumina membrane based electrochemical conductance based devices. The principle of operation of these sensors are based on electrochemical conductance varitions associated with the binding of antibody-antigen complexes to a metallic substrate.In these devices distinct pore clusters are selectively surface functionalized with specific antibodies, that are in turn are incorporated into micro scale arrays. Protein markers were routinely detected at nanomolar concentrations. This opens the potential for developing highly sensitive and selective biomarker detection assays in clinically relevant samples for diagnosis of complex disease state like vulnerable coronary plaque rupture that results in poor post surgical outcomes and other complex diseases.

Electrical Detection of Protein Biomarkers Using Nanoneedle Biosensors

2012 ◽  
Vol 1414 ◽  
Author(s):  
Rahim Esfandyarpour ◽  
Hesaam Esfandyarpour ◽  
Mehdi Javanmard ◽  
James S. Harris ◽  
Ronald W. Davis
Keyword(s):  
Physical Adsorption ◽  
Ionic Current ◽  
Microfluidic Channel ◽  
Protein Detection ◽  
High Sensitivity ◽  
Receptor Protein ◽  
Label Free ◽  
Electrical Detection ◽  
Protein Biomarkers ◽  
Impedance Modulation

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.

Comparative serum proteome analysis reveals potential early pregnancy-specific protein biomarkers in pigs

2019 ◽  
Vol 31 (3) ◽  
pp. 613 ◽  
Author(s):  
Ankan De ◽  
Mohammad Ayub Ali ◽  
Tukheswar Chutia ◽  
Suneel Kumar Onteru ◽  
Parthasarathi Behera ◽  
...  
Keyword(s):  
Early Pregnancy ◽  
Inflammatory Responses ◽  
Proteome Analysis ◽  
Specific Protein ◽  
Protein Profiling ◽  
Differentially Expressed ◽  
Label Free ◽  
Protein Biomarkers ◽  
Serum Proteome ◽  
Pregnancy Zone Protein

In this study, the comparative serum proteome profile of Day 5, 12 and 16 of gestation, representing three early embryonic events, namely formation, elongation and implantation of blastocysts, and non-pregnant control were explored by a label-free quantitation-based mass spectrometric approach to identify early pregnancy biomarkers in pigs. A total of 131 proteins were identified with respect to different groups, out of which 105 were found to be differentially expressed proteins (DEPs). Among the DEPs, 54 and 66 proteins were found to be up and downregulated respectively in early pregnancy groups (fold change >2) and the maximum number of upregulated proteins was observed in the Day 12 pregnancy stage. Functional classification and pathway analysis of the DEPs revealed involvement of most of the proteins in complement and coagulation cascades, metabolic processes and immune and inflammatory responses. Proteins such as glutathione peroxidise (GPX), pregnancy zone protein (PZP), thrombospondin-1 (THBS1), α-1-antitrypsin (AAT) and mannose-binding lectin C (MBLC) were differentially expressed during early pregnancy and actively involved in different pregnancy-related activities. To the best of our knowledge, this is the first report on comparative serum protein profiling of different early pregnancy stages in pigs and our results provide a set of proteins that can be used as potential biomarkers for early pregnancy diagnosis in pigs.

scholarly journals Integration of binding peptide selection and multifunctional particles as tool-box for capture of soluble proteins in serum

2014 ◽  
Vol 11 (99) ◽  
pp. 20140718 ◽  
Author(s):  
Angela Maria Cusano ◽  
Filippo Causa ◽  
Raffaella Della Moglie ◽  
Nunzia Falco ◽  
Pasqualina Liana Scognamiglio ◽  
...  
Keyword(s):  
Protein Biomarkers ◽  
Necrosis Factor Alpha ◽  
Binding Peptide ◽  
Non Invasive ◽  
Phage Display Technique ◽  
Prognostic Tests ◽  
Human Tumour Necrosis Factor ◽  
Factor Alpha ◽  
Diagnostic Applications ◽  
Direct Use

In this paper, we report on a general approach for the detection of a specific tumoural biomarker directly in serum. Such detection is made possible using a protein-binding peptide selected through an improved phage display technique and then conjugated to engineered microparticles (MPs). Protein biomarkers represent an unlimited source of information for non-invasive diagnostic and prognostic tests; MP-based assays are becoming largely used in manipulation of soluble biomarkers, but their direct use in serum is hampered by the complex biomolecular environment. Our technique overcomes the current limitations as it produces a selective MP—engineered with an antifouling layer—that ‘captures’ the relevant protein staying impervious to the background. Our system succeeds in fishing-out the human tumour necrosis factor alpha directly in serum with a high selectivity degree. Our method could have great impact in soluble protein manipulation and detection for a wide variety of diagnostic applications.

Label-Free Mass Spectrometry-Based Plasma Proteomics Identified LY6D, DSC3, CDSN, SERPINB12, and SLURP1,as Novel Protein Biomarkers For Pulmonary Tuberculosis

2019 ◽  
Vol 17 ◽  
Author(s):  
Xiaoli Yu ◽  
Lu Zhang ◽  
Na Li ◽  
Peng Hu ◽  
Zhaoqin Zhu ◽  
...  
Keyword(s):  
Pulmonary Tuberculosis ◽  
Search Algorithm ◽  
Differentially Expressed ◽  
P Value ◽  
Plasma Samples ◽  
Label Free ◽  
Protein Biomarkers ◽  
Protein Database ◽  
Leave One Out ◽  
Potential Biomarkers

Aim: We aimed to identify new plasma biomarkers for the diagnosis of Pulmonary tuberculosis. Background: Tuberculosis is an ancient infectious disease that remains one of the major global health problems. Until now, effective, convenient, and affordable methods for diagnosis of Pulmonary tuberculosis were still lacked. Objective: This study focused on construct a label-free LC-MS/MS based comparative proteomics between six tuberculosis patients and six healthy controls to identify differentially expressed proteins (DEPs) in plasma. Method: To reduce the influences of high-abundant proteins, albumin and globulin were removed from plasma samples using affinity gels. Then DEPs from the plasma samples were identified using a label-free Quadrupole-Orbitrap LC-MS/MS system. The results were analyzed by the protein database search algorithm SEQUEST-HT to identify mass spectra to peptides. The predictive abilities of combinations of host markers were investigated by general discriminant analysis (GDA), with leave-one-out cross-validation. Results: A total of 572 proteins were identified and 549 proteins were quantified. The threshold for differentially expressed protein was set as adjusted p-value < 0.05 and fold change ≥1.5 or ≤0.6667, 32 DEPs were found. ClusterVis, TBtools, and STRING were used to find new potential biomarkers of PTB. Six proteins, LY6D, DSC3, CDSN, FABP5, SERPINB12, and SLURP1, which performed well in the LOOCV method validation, were termed as potential biomarkers. The percentage of cross-validated grouped cases correctly classified and original grouped cases correctly classified is greater than or equal to 91.7%. Conclusion: We successfully identified five candidate biomarkers for immunodiagnosis of PTB in plasma, LY6D, DSC3, CDSN, SERPINB12, and SLURP1. Our work supported this group of proteins as potential biomarkers for pulmonary tuberculosis, and be worthy of further validation.

Label-free non-invasive classification of rice seeds using optical coherence tomography assisted with deep neural network

2021 ◽  
Vol 137 ◽  
pp. 106861
Author(s):  
Deepa Joshi ◽  
Ankit Butola ◽  
Sheetal Raosaheb Kanade ◽  
Dilip K. Prasad ◽  
S.V. Amitha Mithra ◽  
...  
Keyword(s):  
Neural Network ◽  
Optical Coherence Tomography ◽  
Deep Neural Network ◽  
Optical Coherence ◽  
Label Free ◽  
Non Invasive ◽  
Rice Seeds

scholarly journals Photonics of human saliva: potential optical methods for the screening of abnormal health conditions and infections

2021 ◽  
Author(s):  
Jijo Lukose ◽  
Sanoop Pavithran M. ◽  
Mithun N. ◽  
Ajaya Kumar Barik ◽  
Keerthilatha M. Pai ◽  
...  
Keyword(s):  
Biomedical Applications ◽  
Viral Infections ◽  
Clinical Specimen ◽  
Human Saliva ◽  
Medical Diagnostics ◽  
Optical Methods ◽  
Health Conditions ◽  
Personal Health ◽  
Fast Detection ◽  
Non Invasive

AbstractHuman saliva can be treated as a pool of biological markers able to reflect on the state of personal health. Recent years have witnessed an increase in the use of optical devices for the analysis of body fluids. Several groups have carried out studies investigating the potential of saliva as a non-invasive and reliable clinical specimen for use in medical diagnostics. This brief review aims to highlight the optical technologies, mainly surface plasmon resonance (SPR), Raman, and Fourier transform infrared (FTIR) spectroscopy, which are being used for the probing of saliva for diverse biomedical applications. Advances in bio photonics offer the promise of unambiguous, objective and fast detection of abnormal health conditions and viral infections (such as COVID-19) from the analysis of saliva.

scholarly journals Tethered Lipid Membranes as a Nanoscale Arrangement Towards Non-Invasive Analysis of Acute Pancreatitis

Biomedicines ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 755
Author(s):  
Rima Budvytyte ◽  
Akvile Milasiute ◽  
Dalius Vitkus ◽  
Kestutis Strupas ◽  
Aiste Gulla ◽  
...  
Keyword(s):  
Acute Pancreatitis ◽  
Lipid Membranes ◽  
Electrochemical Impedance ◽  
Membrane Integrity ◽  
Electrochemical Technique ◽  
Label Free ◽  
Non Invasive ◽  
Novel Approach ◽  
Analytical System ◽  
Shock Proteins

Extracellular heat shock proteins (HSPs) mediate immunological functions and are involved in pathologies such as infection, stress, and cancer. Here, we demonstrated the dependence of an amount of HSP70 and HSP90 in serum vs. severity of acute pancreatitis (AP) on a cohort of 49 patients. Tethered bilayer lipid membranes (tBLMs) have been developed to investigate HSPs’ interactions with tBLMs that can be probed by electrochemical impedance spectroscopy (EIS). The results revealed that HSP70 and HSP90 interact via different mechanisms. HSP70 shows the damage of the membrane, while HSP90 increases the insulation properties of tBLM. These findings provide evidence that EIS offers a novel approach for the study of the changes in membrane integrity induced by HSPs proteins. Herein, we present an alternative electrochemical technique, without any immunoprobes, that allows for the monitoring of HSPs on nanoscaled tBLM arrangement in biologics samples such us human urine. This study demonstrates the great potential of tBLM to be used as a membrane based biosensor for novel, simple, and non-invasive label-free analytical system for the prediction of AP severity.

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