Prasad, Shalini
Permanent URI for this collectionhttps://hdl.handle.net/10735.1/3738
Shalini Prasad is the Cecil H. and Ida Green Professor in Systems Biology Science and Professor of Bioengineering. Dr. Prasad is also the leader of the Department of Bioengineering and the Director of the Biomedical Microdevices and Nanotechnology Lab. Her research is multi-disciplinary and "includes the engineering of multi-functional nanomaterials for designing portable devices and platforms for cellular and molecular diagnostics." The goal is to improve devices for faster, more affordable and accurate diagnosis of cancer, neurodegenerative diseases, and cardiovascular diseases.Learn more about Dr. Prasad on her Endowed Professorships and Chairs, Department of Bioengineering Faculty page and her laboratory website.
Browse
Browsing Prasad, Shalini by Author "Bhide, Ashlesha"
- Results Per Page
- Sort Options
Item CLASP (Continuous Lifestyle Awareness Through Sweat Platform): A Novel Sensor for Simultaneous Detection of Alcohol and Glucose from Passive Perspired Sweat(Elsevier Ltd) Bhide, Ashlesha; Muthukumar, S.; Prasad, Shalini; Bhide, Ashlesha; Prasad, ShaliniWearable- IOT based low- cost platforms can enable dynamic lifestyle monitoring through enabling promising and exciting opportunities for wellness and chronic- disease management in personalized environments. Diabetic and pre- diabetic populations can modulate their alcohol intake by tracking their glycemic content continuously to prevent health risks through these platforms. We demonstrate the first technological proof of a combinatorial biosensor for continuous, dynamic monitoring of alcohol and glucose in ultra- low volumes (1–5 µL) of passive perspired sweat towards developing a wearable- IOT based platform. Non-invasive biosensing in sweat is achieved by a unique gold- zinc oxide (ZnO) thin film electrode stack fabricated on a flexible substrate suitable for wearable applications. The active ZnO sensing region is immobilized with enzyme complexes specific for the detection of alcohol and glucose through non- faradaic electrochemical impedance spectroscopy (EIS) and chronoamperometry (CA). Biomolecular interactions occurring at the electrode- sweat interface are represented by the impedance and capacitive current changes in response to charge modulations arising in the double layer. We also report the detection of alcohol concentrations of 0.01–100 mg/dl and glucose concentrations of 0.01–50 mg/dl present in synthetic sweat and perspired human sweat. The limit of detection obtained for alcohol and glucose was found to be 0.1 mg/dl in perspired human sweat. Cross- reactivity studies revealed that glucose and alcohol did not show any signal response to cross- reactive molecules. Furthermore, the stable temporal response of the combinatorial biosensor on continuous exposure to passive perspired human sweat spiked with alcohol and glucose over a 120-min duration was demonstrated. © 2018 Elsevier B.V.Item Enzymatic Low Volume Passive Sweat Based Assays for Multi-Biomarker Detection(MDPI, 2019-01-16) Bhide, Ashlesha; Cheeran, Sarah; Muthukumar, Sriram; Prasad, Shalini; Bhide, Ashlesha; Cheeran, Sarah; Prasad, ShaliniSimultaneous detection of correlated multi-biomarkers on a single low-cost platform in ultra-low fluid volumes with robustness is in growing demand for the development of wearable diagnostics. A non-faradaic biosensor for the simultaneous detection of alcohol, glucose, and lactate utilizing low volumes (1-5 μL) of sweat is demonstrated. Biosensing is implemented using nanotextured ZnO films integrated on a flexible porous membrane to achieve enhanced sensor performance. The ZnO sensing region is functionalized with enzymes specific for the detection of alcohol, glucose, and lactate in the ranges encompassing their physiologically relevant levels. A non-faradaic chronoamperometry technique is used to measure the current changes associated with interactions of the target biomarkers with their specific enzyme. The specificity performance of the biosensing platform was established in the presence of cortisol as the non-specific molecule. Biosensing performance of the platform in a continuous mode performed over a 1.5-h duration showed a stable current response to cumulative lifestyle biomarker concentrations with capability to distinguish reliably between low, mid, and high concentration ranges of alcohol (0.1, 25, 100 mg/dL), glucose (0.1, 10, 50 mg/dL), and lactate (1, 50, 100 mM). The low detection limits and a broader dynamic range for the lifestyle biomarker detection are quantified in this research demonstrating its suitability for translation into a wearable device.Item Simultaneous Lancet-Free Monitoring of Alcohol and Glucose from Low-Volumes of Perspired Human SweatBhide, Ashlesha; Muthukumar, Sriram; Saini, Amreek; Prasad, Shalini; 0000 0001 2765 4678 (Prasad, S); 0000-0002-2404-3801 (Prasad, S); Bhide, Ashlesha; Saini, Amreek; Prasad, ShaliniA lancet-free, label-free biosensor for simultaneous detection of sweat glucose and alcohol was demonstrated using zinc oxide thin films integrated into a nanoporous flexible electrode system. Sensing was achieved from perspired human sweat at low volumes (1-3μL), comparable to ambient conditions without external stimulation. Zinc oxide thin film electrodes were surface functionalized with alcohol oxidase enzyme and with glucose oxidase enzyme towards developing an affinity biosensor specific to the physiological relevant range of alcohol comprising of 0-2 drinks (0-50mg/dl) and physiologically relevant range of glucose ranging from hypo- to hyper-glycaemia (50- 130mg/dl) in perspired human sweat. Sensing was achieved by measuring impedance changes associated with alcohol and glucose binding onto the sensor interface using electrochemical impedance spectroscopy with a dynamic range from 0.01-200mg/dl and a limit of detection of 0.01mg/dl for alcohol in human sweat. Sensor calibration in synthetic sweat containing interferents (25-200mg/dl) and comparison using regression and Bland-Altman analysis of sweat sensor performance was done with BACtrack. Combinatorial detection of glucose and ethanol in perspired human sweat and comparison of sweat sensor performance with Accu-Chek blood glucose monitoring system that we expect would be relevant for pre-diabetics and diabetics for monitoring their glucose levels and alcohol consumption.Item Ultrasensitive and Rapid-Response Sensor for the Electrochemical Detection of Antibiotic Residues within Meat Samples(American Chemical Society) Stevenson, Hunter S.; Shetty, Shubrath S.; Thomas, Noel J.; Dhamu, Vidram N.; Bhide, Ashlesha; Prasad, Shalini; 0000-0002-2404-3801 (Prasad, S); Stevenson, Hunter S.; Shetty, Shubrath S.; Thomas, Noel J.; Dhamu, Vidram N.; Bhide, Ashlesha; Prasad, ShaliniAntimicrobial use in livestock has emerged as a pressing global issue because of the rise of antimicrobial-resistant bacteria. Regulatory authorities across the globe have taken steps to discourage the misuse of these antibiotics by banning or limiting the use of medically important antibiotics in food animals. However, to ensure that food animals are not being administered antibiotics inappropriately, there is a need for a reliable, raid-response biosensor that can detect the presence of these antibiotic residuals in meat products. We have developed an affinity-based electrochemical biosensor for the label-free detection of ceftiofur residues in meat samples. The sensor uses a self-assembled immunoassay to target the ceftiofur biomarker by employing electrochemical impedance spectroscopy to probe the interfacial capacitive changes as ceftiofur binds to the sensor surface. We have demonstrated a platform that can detect ceftiofur within 15 min of introducing the sample at concentrations down to 0.01 ng/mL in 1× phosphate-buffered saline and 10 ng/mL in 220 mg ground turkey meat samples. © 2019 American Chemical Society.