Artificial intelligence-based microfluidic platforms for the sensitive detection of environmental pollutants: Recent advances and prospects

Pouyanfar, Niki; Harofte, Samaneh Zare; Soltani, Maha; Siavashy, Saeed; Asadian, Elham; Ghorbani‐Bidkorbeh, Fatemeh; Keçili, Rüstem; Hussain, Chaudhery Mustansar

doi:10.1016/j.teac.2022.e00160

Cited by 49 publications

(17 citation statements)

References 73 publications

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“…Furthermore, artificial intelligence can optimize the recycling process by analyzing the data from the recycling process and suggesting improvements (Pouyanfar et al 2022 ). Additionally, artificial intelligence can be essential in measuring and tracking waste (Ponis et al 2023 ).…”

Section: Artificial Intelligence In Waste Managementmentioning

confidence: 99%

Artificial intelligence for waste management in smart cities: a review

et al. 2023

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The rising amount of waste generated worldwide is inducing issues of pollution, waste management, and recycling, calling for new strategies to improve the waste ecosystem, such as the use of artificial intelligence. Here, we review the application of artificial intelligence in waste-to-energy, smart bins, waste-sorting robots, waste generation models, waste monitoring and tracking, plastic pyrolysis, distinguishing fossil and modern materials, logistics, disposal, illegal dumping, resource recovery, smart cities, process efficiency, cost savings, and improving public health. Using artificial intelligence in waste logistics can reduce transportation distance by up to 36.8%, cost savings by up to 13.35%, and time savings by up to 28.22%. Artificial intelligence allows for identifying and sorting waste with an accuracy ranging from 72.8 to 99.95%. Artificial intelligence combined with chemical analysis improves waste pyrolysis, carbon emission estimation, and energy conversion. We also explain how efficiency can be increased and costs can be reduced by artificial intelligence in waste management systems for smart cities.

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Section: Artificial Intelligence In Waste Managementmentioning

confidence: 99%

Artificial intelligence for waste management in smart cities: a review

et al. 2023

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“…Moreover, the multiplex dataset generated from lab-on-a-chip operations can be analyzed by machine intelligence with high levels of throughput and accuracy. 128…”

Section: Ai In Lab-on-a-chip Biomedical Screening and Analysismentioning

confidence: 99%

Functions and applications of artificial intelligence in droplet microfluidics

Liu

Zhao

et al. 2023

Lab Chip

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“…1 0 3 9 / D2LC00322H). 3,[11][12][13][14] Ranging from relatively simple tasks such as flow control and mixing, to more complex functions such as sorting and detection, AI can fine-tune these processes, enhancing their reliability and accuracy. Furthermore, AI's inherent ability to learn from data and adapt to new situations can aid in the development of "smart" microfluidic devices (https://doi.org/10.1039/ D2LC00254J, https://doi.org/10.1039/ D2LC00843B).…”

Section: Keisuke Godamentioning

confidence: 99%