Browsing by Author "Poonam Jangir"

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A novel approach for rapid and sensitive detection of Zika virus utilizing silver nanoislands as SERS platform
(Elsevier B.V., 2023) Manish Nath Tripathi; Poonam Jangir; Aakriti; Suyash Rai; Mayank Gangwar; Gopal Nath; Preeti S. Saxena; Anchal Srivastava
To control the spread of the disease, the Zika virus (ZIKV), a flavivirus infection spread by mosquitoes and common in across the world, needs to be accurately and promptly diagnosed. This endeavour gets challenging when early-stage illnesses have low viral loads. As a result, we have created a biosensor based on surface-enhanced Raman scattering (SERS) for the quick, accurate, and timely diagnosis of the Zika virus. In this study, a glass coverslip was coated with silver nanoislands, which were then utilized as the surface for creating the sensing platform. Silver nanoislands exhibit strong plasmonic activity and good conductive characteristics. It enhances the Raman signals as a result and gives the SERS platform an appropriate surface. The created platform has been applied to Zika virus detection. With a limit of detection (LOD) of 0.11 ng/mL, the constructed sensor exhibits a linear range from 5 ng/mL to 1000 ng/mL. Hence, even at the nanogram scale, this technique may be a major improvement over clinical diagnosis approaches for making proper, precise, and accurate Zika virus detection. © 2023 Elsevier B.V.
Developments in graphene-based sensors in diagnostics and other applications
(Springer, 2022) Poonam Jangir; Kirti Singh; Umakant Yadav; Preeti Suman Saxena; Anchal Srivastava
Miniaturization, portability and lab-on-chip devices, like many features of the sensor, are perceived areas of work by researchers. Advanced nanomaterials like graphene, graphene oxide, reduced graphene oxide and their different forms, such as nanosheet, nanorods, nanotubes, nanoflower, nanodots, have the potential to demonstrate high-performance electrochemical sensitivity and selectivity. In theranostic (diagnostics and biomedicine) and disease monitoring, graphene and composite-based sensors have transformed these areas with new techniques and approaches. It will not be an exaggeration to include graphene as a prominent nanomaterial, which changes the view of nano techniques in sensing. The unique physicochemical properties of graphene have made it worthy of use for nanosensor technology. In this review, the authors inspected recent developments in graphene-based sensing performance and progress in its commercial validations. Herein, we also inculcate some basic aspects of sensors such as biosensors, chemisensor, and physical sensors with their recent developments and critical analysis. We also included the progress in biosensors in health monitoring, care management and prepared a consolidated framework. © 2022, Indian Academy of Sciences.
Real time SERS selective detection sensor for Galectin-1 based on RF-sputter AgNPs islands
(Elsevier B.V., 2023) Poonam Jangir; Manish Nath Tripathi; Umakant Yadav; Anchal Srivastava; Preeti Suman Saxena
Galectin −1 is a dimeric β-galactoside binding protein secreted mainly through metastatic tumor cells and plays a critical tumorigenic milieu. Galectin-1 is a potent biomarker for diagnosing pancreoductal adenocarcinoma, a type of pancreatic cancer. In this work, the surface-enhanced Raman spectroscopy (SERS) technique was studied for its use in diagnosing PDAC. A silver sputtered array platform was synthesized and coupled by NHS-EDC linker protein via sulfo–NHS–ester. To specify this platform, monoclonal Anti-GAL-1 was attached to analyze the GAL-1 antigen by surface-enhanced Raman spectroscopy (SERS). The final platform, anti-GAL-1/GAL-1/EDC-NHS/Ag, was characterized by FT-IR, AFM, XPS, and Raman spectroscopic techniques. SERS achieved good sensitivity and linearity with this optimized platform. Under optimal conditions, the fabricated platform showed good linearity in the physiological range of 1 ng/ml to 100 ng/ml with LOD 2.45 ng/ml. The modified AgNPs platform has good sensitivity, cost-effectiveness, reliability, and scalability. © 2023 Elsevier B.V.