Browsing by Author "Priyanka Dogra"

Now showing 1 - 2 of 2

A contemporary overview on quantum dots-based fluorescent biosensors: Exploring synthesis techniques, sensing mechanism and applications
(Elsevier B.V., 2025) Anushka Yadav; Priyanka Dogra; Pinky Sagar; Monika Srivastava; Amit Kumar Srivastava; Rajneesh Kumar; Sanjay Kumar Srivastava
In the epoch of bioinformatics, pivotal biomedical scrutiny and clinical diagnosis hinge upon the unfolding of highly efficacious biosensors for intricate and targeted identification of specific biomolecules. In pursuit of developing robust biosensors endowed with superior sensitivity, precise selectivity, rapid performance, and operational simplicity, semiconductor QDs have been acknowledged as pivotal and advantageous entities. In this review, we present a comprehensive analysis of the latest unfolding within the domain of QDs used in fluorescent biosensors for the detection of diverse biomolecular entities, encompassing proteins, nucleic acids, and a range of small molecules, with an emphasis on the synthesis methodologies of QDs employed and mechanism behind sensing. Additionally, this review delves into several pivotal facets of QD-based fluorescent biosensors in detail, such as surface functionalization methodologies aimed at enhancing biocompatibility and improving target specificity. The challenges and future perspectives of QD-based fluorescent biosensors are also considered, emphasizing the necessity of ongoing multidisciplinary research to realize their full potential in enhancing personalized medicine and biomedical diagnostics. © 2025 Elsevier B.V.
Wireless & portable smartphone assisted electrochemical platform for on-site monitoring of chloramphenicol drug
(Elsevier Ltd, 2025) Priyanka Dogra; Monika Srivastava; Pinky Sagar; Chandra Shekhar Pati Tripathi; Sanjay Kumar Srivastava
Precise detection of antibiotic residues such as chloramphenicol (CAP) remains challenging due to their widespread use in veterinary, food, medical, and environmental sectors. Herein, we report a smartphone-assisted electrochemical sensor with graphene oxide (GO) and multi-walled carbon nanotubes (MWCNTs) for the sensitive detection of CAP. The system integrates with both a traditional Autolab potentiostat and a pocket size Palmsens potentiostat. Cyclic voltammetry (CV) and differential pulse voltammetry (DPV) studies of GO@MWCNT nanocomposite exhibited excellent electrocatalytic activity, with a linear detection range of 0–600 μM, a limit of detection (LOD) of 46 nM (S/N = 3), and sensitivity of 1.71 μA μM−1 cm−2. The sensor showed excellent stability (∼90 % retention after 21 days) and reproducibility (RSD <3 %). A strong correlation between Autolab and smartphone-based results validated the reliability of the system. This is the first report of a smartphone-assisted platform for CAP detection, enabling wireless, Bluetooth enabled, and real-time analysis via a user-friendly smart phone application. The sensor performed effectively in milk, tap water, eye drops, capsules, and human blood serum, with good recoveries. A reusability/regeneration study confirmed the potential of the platform as a cost-effective, field-deployable POC diagnostic tool. © 2025 Elsevier B.V.