The LOD paradox: When lower isn't always better in biosensor research and development

Biosensors and Bioelectronics, Год журнала: 2024, Номер 264, С. 116670 - 116670

Опубликована: Авг. 13, 2024

Язык: Английский

---

Enhancing biocompatibility and functionality: Carbon nanotube-polymer nanocomposites for improved biomedical applications

Journal of Drug Delivery Science and Technology, Год журнала: 2024, Номер 99, С. 105958 - 105958

Опубликована: Июль 9, 2024

Язык: Английский

---

Next-Generation Nanomaterials-based Biosensors: Real-Time Biosensing Devices for Detecting Emerging Environmental Pollutants

Materials Today Sustainability, Год журнала: 2024, Номер unknown, С. 101068 - 101068

Опубликована: Дек. 1, 2024

Язык: Английский

---

Polymer and Nanocomposite Fillers as Advanced Materials in Biomedical Applications

Nano Trends, Год журнала: 2025, Номер unknown, С. 100087 - 100087

Опубликована: Фев. 1, 2025

Язык: Английский

---

Advancing SERS Applications of 2D Materials through the Interplay of Rational Design and Structure‐Property Relationships

Small Methods, Год журнала: 2025, Номер unknown

Опубликована: Фев. 26, 2025

Surface-enhanced Raman spectroscopy (SERS) is a highly sensitive analytical tool for molecular investigations, particularly in biological systems. While metal nanoparticles (NPs) have been widely explored SERS, their performance depends on size, shape, and crystal structure. However, scattering efficiency low, limiting applications. To overcome these challenges, 2D materials emerged as promising SERS substrates due to high surface area, charge transfer capabilities, stability, tunable optical properties. Their biocompatibility makes them ideal chemical biomedical applications, including microfluidic systems, drug delivery, vivo diagnostics. This review comprehensively examines the development, structural characteristics, plasmonic integration of SERS. It highlights design considerations, optimization using machine learning (ML), material performance. ML-driven approaches enable precise tuning materials' optical, electrical, properties, enhancing biosensing capabilities. Computational algorithms facilitate detection ultra-low concentrations biomolecules such deoxyribonucleic acid (DNA), proteins, metabolites. ML also offers powerful tools data analysis, optimization, automated sensing, significantly advancing The synergy between opens new avenues high-performance technologies.

Язык: Английский

---

Application of Nanobiosensor Engineering in the Diagnosis of Neurodegenerative Disorders

Results in Engineering, Год журнала: 2024, Номер 24, С. 102790 - 102790

Опубликована: Сен. 5, 2024

Язык: Английский

---

Nano biosensors: Classification, electrochemistry, nanostructures, and optical properties

Results in Engineering, Год журнала: 2024, Номер unknown, С. 103428 - 103428

Опубликована: Ноя. 1, 2024

Язык: Английский

---

Emerging biophysical techniques for probing synaptic transmission in neurodegenerative disorders

Neuroscience, Год журнала: 2024, Номер 565, С. 63 - 79

Опубликована: Ноя. 26, 2024

Язык: Английский

---

Advanced protein nanobiosensors to in-situ detect hazardous material in the environment

Journal of Environmental Management, Год журнала: 2024, Номер 366, С. 121727 - 121727

Опубликована: Июль 14, 2024

Язык: Английский

---

Development and application of novel biosensors for enhanced detection in medical diagnostics

Microchemical Journal, Год журнала: 2024, Номер unknown, С. 111938 - 111938

Опубликована: Окт. 1, 2024

Язык: Английский

---