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Featured researches published by Vini Singh.


Analytical Chemistry | 2015

Voltammetric Immunosensor Assembled on Carbon-Pyrenyl Nanostructures for Clinical Diagnosis of Type of Diabetes

Vini Singh; Sadagopan Krishnan

Herein we report the first serum insulin voltammetric immunosensor for diagnosis of type 1 and type 2 diabetic disorders. The sensor is composed of multiwalled carbon nanotube-pyrenebutyric acid frameworks on edge plane pyrolytic graphite electrodes (PGE/MWNT/Py) to which an anti-insulin antibody was covalently attached. The detection of picomolar levels of serum insulin binding to the surface antibody was achieved by monitoring the decrease in voltammetric current signals of a redox probe taken in the electrolyte solution. This method offered a detection limit of 15 pM for free insulin present in serum. This detection limit was further lowered to 5 pM by designing serum insulin conjugates with poly(acrylic acid)-functionalized magnetite nanoparticles (100 nm hydrodynamic diameter) and detecting the binding of MNP-serum insulin conjugate to the surface insulin-antibody on PGE/MWNT/Py electrodes. When tested on real patient serum samples, the sensor accurately measured insulin levels. To our knowledge, this is the first report of a voltammetric immunosensor capable of both diagnosing and distinguishing the type of diabetes based on serum insulin levels in diabetic patients.


Analyst | 2014

An electrochemical mass sensor for diagnosing diabetes in human serum

Vini Singh; Sadagopan Krishnan

An electrochemical mass sensor for clinically relevant detection of insulin in human serum conjugated to magnetic nanoparticles and captured onto antibody immobilized gold coated quartz resonators is reported for the first time.


ACS Sensors | 2017

Magnetite-quantum dot immunoarray for plasmon-coupled-fluorescence imaging of blood insulin and glycated hemoglobin

Vini Singh; Rajasekhara Nerimetla; Ming Yang; Sadagopan Krishnan

New microarray chip strategies that are sensitive and selective and that can measure low levels of important biomarkers directly in a blood sample are significant for improving human health by allowing timely diagnosis of an abnormal condition. Herein, we designed an antibody-aptamer immunoarray chip to demonstrate simultaneous measurement of blood insulin and glycated hemoglobin (HbA1c) levels relevant to diabetic and prediabetic disorders using a surface plasmon microarray with validation by fluorescence imaging. To accomplish both surface plasmon and fluorescence imaging on the same sample, we decorated magnetite nanoparticles with quantum dots for covalent immobilization of aptamers for subsequent capture and isolation of the aptamers specific for insulin and HbA1c markers from 20-times diluted whole blood samples. Direct clinically relevant analysis, along with fluorescent imaging of the two markers, was achieved by this new immunoarray platform. The limit of detection was 4 pM for insulin and 1% for HbA1c. Examination of cross-talk using thrombin and platelet-derived growth factor confirmed that the designed immunoarray was highly selective for insulin and HbA1c. Surface plasmon kinetic analysis provided apparent binding constants of 0.24 (±0.08) nM and 37 (±3) μM, respectively, for the binding of insulin and HbA1c onto their surface immobilized monoclonal antibodies. Thus, quantitative imaging of ultralow levels of blood biomarker levels with binding kinetics is uniquely obtained in the designed immunoarray chip. In conclusion, this report demonstrates considerable significance of the developed magnetite-quantum dot-bioconjugate strategy for clinical diagnostics of whole blood biomarkers with characterization of molecular binding interactions.


Analyst | 2018

Electrochemical and Surface Plasmon Insulin Assays on Clinical Samples

Vini Singh; Sadagopan Krishnan

Diabetes is a complex immune disorder that requires extensive medical care beyond glycemic control. Recently, the prevalence of diabetes, particularly type 1 diabetes (T1D), has significantly increased from 5% to 10%, and this has affected the health-associated complication incidences in children and adults. The 2012 statistics by the American Diabetes Association reported that 29.1 million Americans (9.3% of the population) had diabetes, and 86 million Americans (age ≥20 years, an increase from 79 million in 2010) had prediabetes. Personalized glucometers allow diabetes management by easy monitoring of the high millimolar blood glucose levels. In contrast, non-glucose diabetes biomarkers, which have gained considerable attention for early prediction and provide insights about diabetes metabolic pathways, are difficult to measure because of their ultra-low levels in blood. Similarly, insulin pumps, sensors, and insulin monitoring systems are of considerable biomedical significance due to their ever-increasing need for managing diabetic, prediabetic, and pancreatic disorders. Our laboratory focuses on developing electrochemical immunosensors and surface plasmon microarrays for minimally invasive insulin measurements in clinical sample matrices. By utilizing antibodies or aptamers as the insulin-selective biorecognition elements in combination with nanomaterials, we demonstrated a series of selective and clinically sensitive electrochemical and surface plasmon immunoassays. This review provides an overview of different electrochemical and surface plasmon immunoassays for insulin. Considering the paramount importance of diabetes diagnosis, treatment, and management and insulin pumps and monitoring devices with focus on both T1D (insulin-deficient condition) and type 2 diabetes (insulin-resistant condition), this review on insulin bioassays is timely and significant.


ACS Sensors | 2016

Magnetic Optical Microarray Imager for Diagnosing Type of Diabetes in Clinical Blood Serum Samples

Vini Singh; Cassandra Rodenbaugh; Sadagopan Krishnan


ACS Catalysis | 2017

Mechanistic Insights into Voltage-Driven Biocatalysis of a Cytochrome P450 Bactosomal Film on a Self-Assembled Monolayer

Rajasekhara Nerimetla; Charuksha Walgama; Vini Singh; Steven D. Hartson; Sadagopan Krishnan


228th ECS Meeting (October 11-15, 2015) | 2015

Magnetic Optical Microarray Imager for Diagnosing Type of Diabetes in Clinical Matrices

Vini Singh; Sadagopan Krishnan


2014 ECS and SMEQ Joint International Meeting (October 5-9, 2014) | 2014

Picosensor-Optical Microarray Technology for Clinical Diagnosis of Type of Diabetes

Sadagopan Krishnan; Vini Singh; Sudhakaraprasad Kariate; Cassandra Rodenbaugh


Indian Journal of Plant Genetic Resources | 2007

Basmati rice (Oryza sativa) Germplasm with Better Grain, Cooking, Higher Elongation Ratio and Free from Grain Chalkiness

Vini Singh; A. K. Singh; Ss Atwal; T. Mohapatra; Fr Niazi; J Singh; Rp Pant


Indian Journal of Plant Genetic Resources | 2005

Basmati Rice (Oryza sativa) Gennplasm with more Aroma, Free from Grain Chalkiness and Resistance to Bacterial Blight

Vini Singh; A. K. Singh; Ss Atwal; T. Mohapatra; Minu Joseph; S Gopala Krishnan; Kr Pandey; Jayshree Gopalakrishna

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A. K. Singh

Banaras Hindu University

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T. Mohapatra

Indian Council of Agricultural Research

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