Smart carbon-based sensors for the detection of non-coding RNAs associated with exposure to micro(nano)plastics: an artificial intelligence perspective

Micro(nano)plastics (MNPs) are pervasive environmental pollutants that individuals eventually consume. Despite this, little is known about MNP’s impact on public health. In this article, we assess the evidence for potentially harmful consequences of MNPs in the human body, concentrating on molecular...

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Veröffentlicht in:	Environmental science and pollution research international 2024-02, Vol.31 (6), p.8429-8452
Hauptverfasser:	Ratre, Pooja, Nazeer, Nazim, Soni, Nikita, Kaur, Prasan, Tiwari, Rajnarayan, Mishra, Pradyumna Kumar
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptability air Aquatic Pollution Artificial intelligence Atmospheric Protection/Air Quality Control/Air Pollution Carbon Coding computer simulation Conjugation Consumer products Contact stresses Earth and Environmental Science Ecotoxicology Environment Environmental Chemistry Environmental Health Epigenetics Exposure humans Inflammation Ingestion Inhalation microRNA miRNA mitochondria Nanomaterials Nanotechnology Non-coding RNA Oxidative stress Plastic pollution Public health Respiration Review Article Smart sensors Toxicity Waste Water Technology Water Management Water Pollution Control
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