Publications by authors named "Shubham Babbar"
Article Synopsis
- Organophosphates (OP) are harmful chemicals used in agriculture and warfare, creating a need for effective detection methods that work quickly and are cost-effective, especially for detecting contamination in liquid samples.
- Current detection methods are only useful in the short term and fail to address long-term contamination risks, highlighting the need for real-time monitoring of OPs in water and soil.
- This study introduces a transistor-based sensor called MNChem, capable of ultra-sensitive, quantitative detection of diethyl cyanophosphonate (DCNP) in small liquid samples, achieving a detection limit of 100 fg/mL and a wide dynamic range, suggesting it’s suitable for on-site environmental analysis.*
Article Synopsis
- Transistor-based biosensing (BioFET) is explored as a promising method for future medical diagnostics but faces challenges with solution gating, as standard measurements affect the equilibrium of double layers where biomolecules interact.
- The study investigates a new BioFET design that separates the solution potential from the current gating process, allowing electrochemical equilibrium to be maintained while measuring biomolecule interactions.
- Results show that this decoupled approach significantly improves sensing performance for detecting ferritin in diluted plasma, achieving high sensitivity and a wide dynamic range compared to traditional methods.
Article Synopsis
- - The study focuses on using field-effect meta-nano-channel biosensors (MNC biosensors) to detect N-acetyl-beta-D-glucosaminidase (NAGase), an enzyme linked to infections in milk cows, in very small samples like 0.5 μL drops of milk.
- - The biosensor achieves highly specific and label-free sensing of NAGase with an impressive detection limit of 30.3 aM, spanning a dynamic range of eleven orders of magnitude, indicating strong linearity and sensitivity.
- - Two main findings highlight that despite the expected limitations due to the ionic strength and non-specific protein interactions in milk, the sensor works effectively, suggesting more research is needed on how non-specific
Foreshadowing future needs has catapulted the progress of skin-like electronic devices for human-machine interactions. These devices possess human skin-like properties such as stretchability, self-healability, transparency, biocompatibility, and wearability. This review highlights the recent progress in a promising material, MXenes, to realize soft, deformable, skin-like electrodes.
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