Semantic Scholar Open Access 2021 7 sitasi

Mathematical Modelling of Biosensing Platforms Applied for Environmental Monitoring

Ahlem Teniou A. Rhouati J. Marty

Abstrak

In recent years, mathematical modelling has known an overwhelming integration in different scientific fields. In general, modelling is used to obtain new insights and achieve more quantitative and qualitative information about systems by programming language, manipulating matrices, creating algorithms and tracing functions and data. Researchers have been inspired by these techniques to explore several methods to solve many problems with high precision. In this direction, simulation and modelling have been employed for the development of sensitive and selective detection tools in different fields including environmental control. Emerging pollutants such as pesticides, heavy metals and pharmaceuticals are contaminating water resources, thus threatening wildlife. As a consequence, various biosensors using modelling have been reported in the literature for efficient environmental monitoring. In this review paper, the recent biosensors inspired by modelling and applied for environmental monitoring will be overviewed. Moreover, the level of success and the analytical performances of each modelling-biosensor will be discussed. Finally, current challenges in this field will be highlighted.

Topik & Kata Kunci

Penulis (3)

A

Ahlem Teniou

A

A. Rhouati

J

J. Marty

Format Sitasi

Teniou, A., Rhouati, A., Marty, J. (2021). Mathematical Modelling of Biosensing Platforms Applied for Environmental Monitoring. https://doi.org/10.3390/CHEMOSENSORS9030050

Akses Cepat

Lihat di Sumber doi.org/10.3390/CHEMOSENSORS9030050
Informasi Jurnal
Tahun Terbit
2021
Bahasa
en
Total Sitasi
Sumber Database
Semantic Scholar
DOI
10.3390/CHEMOSENSORS9030050
Akses
Open Access ✓