Abstract
Microfluidics is a technique that makes it possible to accurately control and analyze liquids in space at the micron or nanoscale. Several unit technologies may be merged at scale on an overall controlled micro-platform, which is its main benefit. Using micromachining technologies like microfluidic channels and microvalves, helps in regulating the flow and mixing of liquids to produce a range of reactions. Microfluidics enables the realization of several applications, like chemical analysis, drug screening, and cell culture, by accurately manipulating the rate of flow of liquids. whereas, the field of artificial intelligence (AI) was developed to further human intelligence’s ideas, practices, and applied systems. so that the computer systems can carry out activities like learning, thinking, seeing, and comprehending language that require human intellect. Thanks to the advancement of several neural networks and algorithms, Artificial intelligence has grown significantly in the last few years. Its accomplishments in healthcare, agriculture, material synthesis, and environmental monitoring are already impressive. Monitoring water quality benefits greatly from the integration of artificial intelligence networks and microfluidic technologies. Microscale sample processing and analysis are made possible by the microfluidic platform, when combined with the high-speed computing and intelligent decision making of AI results in quick detection of contaminants in the water sample and increases the detection efficiency. So, this paper deals with the latest research developments for pollutant detection in water bodies, including heavy metals, micro- and nanoplastics, and microalgae using AI integrated microfluidics technology.
Introduction
Microfluidics involves controlling small volumes of fluids in microscale channels, typically from microliters to picoliters. Researchers use microfabrication techniques to create “microfluidic chips” or “lab-on-a-chip” devices. These offer advantages such as high sensitivity, low sample usage, cost-effectiveness, and fast analysis, making them ideal for biomedical applications like drug screening, biomaterials synthesis, cellular analysis, and biomolecular detection. Common materials used include glass, PDMS, and thermoplastics, known for their affordability and versatility in microfluidic research. The technology enables precise manipulation of fluid properties, including laminar flow.
Enhancing Water Quality Monitoring with Microfluidic Systems
Enhancing water quality monitoring is essential due to the harmful effects of pollutants like heavy metals, pesticides, and nutrients on ecosystems and human…
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