...Feng Liu; Zhen Liu; Xiang Zhang; Zongchen Liu; Yuan Liu Purpose This study aims to critically examine the integration of machine learning ( ML ) techniques into metal oxide ( MOX ) gas sensor arrays to address the challenges of poor selectivity and long-term drift. It analyzes the architecture...

..., selectivity and rapid diagnostic response in current and future healthcare challenges. Design/methodology/approach A comprehensive literature review was conducted on various specimen types, molecular diagnostic tools (RT-qPCR, ddPCR, CRISPR, RT-LAMP) and biosensor platforms such as electrochemical sensors...

... as an indicator of food freshness, patients’ clinical state and fire detection. Therefore, the accurate monitoring and controlling of CO₂ levels are imperative. The development of highly sensitive, selective and reliable sensors that can efficiently distinguish CO₂ in various conditions...

... was obtained at 260°C by the 14 at.% SnO₂–ZnO hollow nanofiber sensor. The sensor could detect formaldehyde down to 0.1 ppm with rapid response–recovery time (4-6 s and 7-9 s, respectively), high sensitivity, good selectivity and stability. The relationship between the sensor’s sensitivity...

...Aashis S. Roy; Ameena Parveen; Ambika Prasad; Koppalkar R. Anilkumar Purpose The purpose of this paper is to study the sensitivity and selectivity properties of polyaniline/tantalum pentoxide (PANI/Ta₂O₅) composite to liquid petroleum gas (LPG). Design/methodology/approach...