Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Ramya Vishnubhotla is active.

Publication


Featured researches published by Ramya Vishnubhotla.


ACS Nano | 2016

Scalable Production of High-Sensitivity, Label-Free DNA Biosensors Based on Back-Gated Graphene Field Effect Transistors.

Jinglei Ping; Ramya Vishnubhotla; Amey Vrudhula; A. T. Charlie Johnson

Scalable production of all-electronic DNA biosensors with high sensitivity and selectivity is a critical enabling step for research and applications associated with detection of DNA hybridization. We have developed a scalable and very reproducible (>90% yield) fabrication process for label-free DNA biosensors based upon graphene field effect transistors (GFETs) functionalized with single-stranded probe DNA. The shift of the GFET sensor Dirac point voltage varied systematically with the concentration of target DNA. The biosensors demonstrated a broad analytical range and limit of detection of 1 fM for 60-mer DNA oligonucleotide. In control experiments with mismatched DNA oligomers, the impact of the mismatch position on the DNA hybridization strength was confirmed. This class of highly sensitive DNA biosensors offers the prospect of detection of DNA hybridization and sequencing in a rapid, inexpensive, and accurate way.


ACS Nano | 2018

All-Electronic Quantification of Neuropeptide-Receptor Interaction Using a Bias-Free Functionalized Graphene Microelectrode

Jinglei Ping; Ramya Vishnubhotla; Jin Xi; Pedro Ducos; Jeffery G. Saven; Renyu Liu; A. T. Johnson

Opioid neuropeptides play a significant role in pain perception, appetite regulation, sleep, memory, and learning. Advances in understanding of opioid peptide physiology are held back by the lack of methodologies for real-time quantification of affinities and kinetics of the opioid neuropeptide-receptor interaction at levels typical of endogenous secretion (<50 pM) in biosolutions with physiological ionic strength. To address this challenge, we developed all-electronic opioid-neuropeptide biosensors based on graphene microelectrodes functionalized with a computationally redesigned water-soluble μ-opioid receptor. We used the functionalized microelectrode in a bias-free charge measurement configuration to measure the binding kinetics and equilibrium binding properties of the engineered receptor with [d-Ala2, N-MePhe4, Gly-ol]-enkephalin and β-endorphin at picomolar levels in real time.


arXiv: Biological Physics | 2017

An Aptamer-Based Biosensor for the Azole Class of Antifungal Drugs

Gregory R Wiedman; Yunan Zhao; Arkady Mustaev; Jinglei Ping; Ramya Vishnubhotla; A. T. Charlie Johnson; David S. Perlin

We have developed the first aptamer directed toward the azole class of antifungal drugs and a functional biosensor for these drugs. This aptamer has a unique secondary structure that allows it to bind to highly hydrophobic drugs. The aptamer works as a capture component of a graphene field effect transistor device. These devices can provide a quick and easy assay for determining drug concentrations. These will be useful for therapeutic drug monitoring of azole antifungal drugs, which is necessary to deal with the complex drug dosage profiles. ABSTRACT This technical report describes the development of an aptamer for sensing azole antifungal drugs during therapeutic drug monitoring. Modified synthetic evolution of ligands through exponential enrichment (SELEX) was used to discover a DNA aptamer recognizing azole class antifungal drugs. This aptamer undergoes a secondary structural change upon binding to its target molecule, as shown through fluorescence anisotropy-based binding measurements. Experiments using circular dichroism spectroscopy revealed a unique G-quadruplex structure that was essential and specific for binding to the azole antifungal target. Aptamer-functionalized graphene field effect transistor (GFET) devices were created and used to measure the strength of binding of azole antifungals to this surface. In total, this aptamer and the supporting sensing platform provide a valuable tool for therapeutic drug monitoring of patients with invasive fungal infections. IMPORTANCE We have developed the first aptamer directed toward the azole class of antifungal drugs and a functional biosensor for these drugs. This aptamer has a unique secondary structure that allows it to bind to highly hydrophobic drugs. The aptamer works as a capture component of a graphene field effect transistor device. These devices can provide a quick and easy assay for determining drug concentrations. These will be useful for therapeutic drug monitoring of azole antifungal drugs, which is necessary to deal with the complex drug dosage profiles.


AIP Advances | 2017

Scalable graphene aptasensors for drug quantification

Ramya Vishnubhotla; Jinglei Ping; Zhaoli Gao; Abigail Lee; Olivia Saouaf; Amey Vrudhula; A. T. Charlie Johnson

Simpler and more rapid approaches for therapeutic drug-level monitoring are highly desirable to enable use at the point-of-care. We have developed an all-electronic approach for detection of the HIV drug tenofovir based on scalable fabrication of arrays of graphene field-effect transistors (GFETs) functionalized with a commercially available DNA aptamer. The shift in the Dirac voltage of the GFETs varied systematically with the concentration of tenofovir in deionized water, with a detection limit less than 1 ng/mL. Tests against a set of negative controls confirmed the specificity of the sensor response. This approach offers the potential for further development into a rapid and convenient point-of-care tool with clinically relevant performance.


Small | 2017

pH Sensing Properties of Flexible, Bias-Free Graphene Microelectrodes in Complex Fluids: From Phosphate Buffer Solution to Human Serum

Jinglei Ping; Jacquelyn E. Blum; Ramya Vishnubhotla; Amey Vrudhula; Carl H. Naylor; Zhaoli Gao; Jeffery G. Saven; A. T. Johnson

Advances in techniques for monitoring pH in complex fluids can have a significant impact on analytical and biomedical applications. This study develops flexible graphene microelectrodes (GEs) for rapid (<5 s), very-low-power (femtowatt) detection of the pH of complex biofluids by measuring real-time Faradaic charge transfer between the GE and a solution at zero electrical bias. For an idealized sample of phosphate buffer solution (PBS), the Faradaic current is varied monotonically and systematically with the pH, with a resolution of ≈0.2 pH unit. The current-pH dependence is well described by a hybrid analytical-computational model, where the electric double layer derives from an intrinsic, pH-independent (positive) charge associated with the graphene-water interface and ionizable (negative) charged groups. For ferritin solution, the relative Faradaic current, defined as the difference between the measured current response and a baseline response due to PBS, shows a strong signal associated with ferritin disassembly and the release of ferric ions at pH ≈2.0. For samples of human serum, the Faradaic current shows a reproducible rapid (<20 s) response to pH. By combining the Faradaic current and real-time current variation, the methodology is potentially suitable for use to detect tumor-induced changes in extracellular pH.


Advanced Materials Interfaces | 2016

Genetically Engineered Antibody Functionalized Platinum Nanoparticles Modified CVD-Graphene Nanohybrid Transistor for the Detection of Breast Cancer Biomarker, HER3

Rajesh; Zhaoli Gao; Ramya Vishnubhotla; Pedro Ducos; Madeline Díaz Serrano; Jinglei Ping; Matthew K. Robinson; A. T. Johnson


Chemical Science | 2017

Structural-functional analysis of engineered protein-nanoparticle assemblies using graphene microelectrodes

Jinglei Ping; Katherine W. Pulsipher; Ramya Vishnubhotla; Jose A. Villegas; Tacey L. Hicks; Stephanie Honig; Jeffery G. Saven; Ivan J. Dmochowski; A. T. Charlie Johnson


Bulletin of the American Physical Society | 2018

Attaining Attomolar Detection and Long Target Capture of Single Strand DNA with Graphene Biosensors

Ramya Vishnubhotla; Jinglei Ping; Olivia Dickens; Adithya Sriram; Srinivas Mandyam; A. T. Johnson


Bulletin of the American Physical Society | 2018

Exploring the Relationship Between Alpha-synuclein Concentration and Parkinson's Disease Progression with Graphene Aptasensors

Olivia Dickens; Adithya Sriram; Ramya Vishnubhotla; Samantha C. Decker; Kelvin C. Luk; A. T. Johnson


Bulletin of the American Physical Society | 2017

Label Free Nucleotide Sensing Based Upon Back Gated Graphene Field Effect Transistors

Adithya Sriram; Ramya Vishnubhotla

Collaboration


Dive into the Ramya Vishnubhotla's collaboration.

Top Co-Authors

Avatar

Jinglei Ping

University of Pennsylvania

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

A. T. Johnson

University of Pennsylvania

View shared research outputs
Top Co-Authors

Avatar

Amey Vrudhula

University of Pennsylvania

View shared research outputs
Top Co-Authors

Avatar

Jeffery G. Saven

University of Pennsylvania

View shared research outputs
Top Co-Authors

Avatar

Zhaoli Gao

University of Pennsylvania

View shared research outputs
Top Co-Authors

Avatar

Pedro Ducos

University of Pennsylvania

View shared research outputs
Top Co-Authors

Avatar

Abigail Lee

University of Pennsylvania

View shared research outputs
Top Co-Authors

Avatar

Arkady Mustaev

Rutgers Biomedical and Health Sciences

View shared research outputs
Top Co-Authors

Avatar

Carl H. Naylor

University of Pennsylvania

View shared research outputs
Researchain Logo
Decentralizing Knowledge