- Research Article
- 10.1016/j.sbsr.2026.100986
Biosensors for detecting communicable and non-communicable diseases: A critical review
- Jun 01, 2026
- Sensing and Bio-Sensing Research
- Negar Mashayekh + 1 more +1
Publications from 2021 to 2026
Showing 10 of 1,320 papers
Biosensors for detecting communicable and non-communicable diseases: A critical review
Review and development of an explicit machine learning model for pollutant gas solubility in ionic liquids as green solvents
The increasing release of greenhouse gases (GHGs) like CO₂, CH₄, N₂O, and industrial contaminants (indirect GHGs) such as SO₂ and H₂S has prompted significant global worries due to their role in climate change, air pollution, and harm to the environment. Ionic liquids (ILs) as green solvents have emerged as promising alternatives to traditional solvents because of their minimal volatility, high thermal stability, and adjustable physicochemical characteristics. Yet, limited gas solubility data in ILs is hindering their applications in carbon capture and air pollution control. Machine learning (ML) is a powerful tool for modeling and simulating the solubility of polluting gases in ILs. This research aims to critically review recent progress in ML modeling of pollutant gas removal by ILs. More importantly, a new ML model of genetic programming (GP) was developed to generate an explicit and accurate mathematical equation to predict the solubility of SO 2 , CH 4 , N 2 O, CO, H 2 S and CO 2 in ILs, using a large dataset (3209) for different gas-IL systems. Using temperature, pressure, and structural related parameters of ILs and gases as input parameters, the model achieved a high accuracy (R 2 > 0.97). Finally, a simple Excel method for calculating gas solubility has been created for prediction and modeling purposes.
Read moreDesign and synthesis of Fe₃O₄@Chitosan-Ru(II) complex for efficient Suzuki-Miyaura cross-coupling: Optimization, and reusability in green organic transformations
Smart bioelectronics glucometer with CNT/MXene-FET test strip decorated with silver NWs featuring alarm functionality
Determination of paclitaxel anticancer drug solubility in supercritical CO2: Thermodynamics modeling and machine learning approach
Bacterial inoculation counteracts drought-dust synergy: Improving fatty acid profiles and yield in stressed camelina (Camelina sativa L.)
CO2-to-methanol conversion through catalytic hydrogenation: Mechanistic insights and microkinetic modeling on zirconia-promoted Cu/ZnO/Al2O3 catalyst
Structural analysis and molecular dynamics simulations on the surface extraction process of copper from sulfide ores: A case study of experimental and theoretical results
The Efficacy of Spirulina on Cognitive Function, Psychological and Clinical Indicators in Men Patients Under Methadone Therapy (a Randomized Trial).
IRCT20231101059923N2 (Registration date: 2023-12-16).
Polyoxometalate-based covalent organic frameworks: The next generation of heterogeneous catalysts