Artificial intelligence in heavy metals detection: Methodological and ethical challenges
Heavy metals (HMs) are metallic substances. They enter biotic and abiotic systems through natural and human activities. These HMs have an impact on the atmosphere, soil, and groundwater, and they also affect all living things, especially humans, when they enter the food chain. Therefore, monitoring...
| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-09-01
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| Series: | Hygiene and Environmental Health Advances |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2773049223000272 |
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| author | Nidhi Yadav Brij Mohan Maurya Dewan Chettri Pooja Chirag Pulwani Mahesh Jajula Savleen Singh kanda Harysh Winster Suresh babu Ajay Elangovan Parthasarathy Velusamy Mahalaxmi Iyer Balachandar Vellingiri |
| author_facet | Nidhi Yadav Brij Mohan Maurya Dewan Chettri Pooja Chirag Pulwani Mahesh Jajula Savleen Singh kanda Harysh Winster Suresh babu Ajay Elangovan Parthasarathy Velusamy Mahalaxmi Iyer Balachandar Vellingiri |
| author_sort | Nidhi Yadav |
| collection | DOAJ |
| description | Heavy metals (HMs) are metallic substances. They enter biotic and abiotic systems through natural and human activities. These HMs have an impact on the atmosphere, soil, and groundwater, and they also affect all living things, especially humans, when they enter the food chain. Therefore, monitoring and removing HMs from the environment and humans are crucial for maintaining HMs-based toxicity. The detection of HMs from environmental and human samples has been performed by techniques such as atomic adsorption spectrometry (AAS) and inductively coupled plasma mass spectrometry (ICP-MS). With the advancement of AI-based technology, HMs are now detected and removed from the environment and human systems. This review discusses the impact of HMs on the environment and human health, their detection and removal techniques, and the integration of recent advancements in AI-based technology for the detection and removal of HMs from environmental and human samples. |
| first_indexed | 2024-03-12T05:58:01Z |
| format | Article |
| id | doaj.art-d90b03dd0b9244adbae532e145554e7a |
| institution | Directory Open Access Journal |
| issn | 2773-0492 |
| language | English |
| last_indexed | 2024-03-12T05:58:01Z |
| publishDate | 2023-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Hygiene and Environmental Health Advances |
| spelling | doaj.art-d90b03dd0b9244adbae532e145554e7a2023-09-03T04:24:42ZengElsevierHygiene and Environmental Health Advances2773-04922023-09-017100071Artificial intelligence in heavy metals detection: Methodological and ethical challengesNidhi Yadav0Brij Mohan Maurya1Dewan Chettri2 Pooja3Chirag Pulwani4Mahesh Jajula5Savleen Singh kanda6Harysh Winster Suresh babu7Ajay Elangovan8Parthasarathy Velusamy9Mahalaxmi Iyer10Balachandar Vellingiri11Masters in Zoology, Department of Zoology, School of Basic Sciences, Central University of Punjab, Bathinda, Punjab 151401, IndiaMasters in Zoology, Department of Zoology, School of Basic Sciences, Central University of Punjab, Bathinda, Punjab 151401, IndiaMasters in Zoology, Department of Zoology, School of Basic Sciences, Central University of Punjab, Bathinda, Punjab 151401, IndiaMasters in Zoology, Department of Zoology, School of Basic Sciences, Central University of Punjab, Bathinda, Punjab 151401, IndiaMasters in Zoology, Department of Zoology, School of Basic Sciences, Central University of Punjab, Bathinda, Punjab 151401, IndiaMasters in Zoology, Department of Zoology, School of Basic Sciences, Central University of Punjab, Bathinda, Punjab 151401, India; Cytogenetics and Stem cell Laboratory, Department of Zoology, School of Basic Sciences, Central University of Punjab, Bathinda, Punjab 151401, IndiaMasters in Zoology, Department of Zoology, School of Basic Sciences, Central University of Punjab, Bathinda, Punjab 151401, India; Cytogenetics and Stem cell Laboratory, Department of Zoology, School of Basic Sciences, Central University of Punjab, Bathinda, Punjab 151401, IndiaCytogenetics and Stem cell Laboratory, Department of Zoology, School of Basic Sciences, Central University of Punjab, Bathinda, Punjab 151401, IndiaCytogenetics and Stem cell Laboratory, Department of Zoology, School of Basic Sciences, Central University of Punjab, Bathinda, Punjab 151401, IndiaMasters in Zoology, Department of Zoology, School of Basic Sciences, Central University of Punjab, Bathinda, Punjab 151401, India; Cytogenetics and Stem cell Laboratory, Department of Zoology, School of Basic Sciences, Central University of Punjab, Bathinda, Punjab 151401, India; Department of Biotechnology, Karpagam Academy of Higher Education (Deemed to be University), Coimbatore, Tamil Nadu 641021, India; Department of Computer Science and Engineering, Karpagam Academy of Higher Education, Eachanari Post, Coimbatore - 641021, Tamil Nadu, IndiaDepartment of Biotechnology, Karpagam Academy of Higher Education (Deemed to be University), Coimbatore, Tamil Nadu 641021, IndiaCytogenetics and Stem cell Laboratory, Department of Zoology, School of Basic Sciences, Central University of Punjab, Bathinda, Punjab 151401, India; Corresponding author.Heavy metals (HMs) are metallic substances. They enter biotic and abiotic systems through natural and human activities. These HMs have an impact on the atmosphere, soil, and groundwater, and they also affect all living things, especially humans, when they enter the food chain. Therefore, monitoring and removing HMs from the environment and humans are crucial for maintaining HMs-based toxicity. The detection of HMs from environmental and human samples has been performed by techniques such as atomic adsorption spectrometry (AAS) and inductively coupled plasma mass spectrometry (ICP-MS). With the advancement of AI-based technology, HMs are now detected and removed from the environment and human systems. This review discusses the impact of HMs on the environment and human health, their detection and removal techniques, and the integration of recent advancements in AI-based technology for the detection and removal of HMs from environmental and human samples.http://www.sciencedirect.com/science/article/pii/S2773049223000272Heavy metals (HMS)EnvironmentHuman healthArtificial intelligence (AI) |
| spellingShingle | Nidhi Yadav Brij Mohan Maurya Dewan Chettri Pooja Chirag Pulwani Mahesh Jajula Savleen Singh kanda Harysh Winster Suresh babu Ajay Elangovan Parthasarathy Velusamy Mahalaxmi Iyer Balachandar Vellingiri Artificial intelligence in heavy metals detection: Methodological and ethical challenges Hygiene and Environmental Health Advances Heavy metals (HMS) Environment Human health Artificial intelligence (AI) |
| title | Artificial intelligence in heavy metals detection: Methodological and ethical challenges |
| title_full | Artificial intelligence in heavy metals detection: Methodological and ethical challenges |
| title_fullStr | Artificial intelligence in heavy metals detection: Methodological and ethical challenges |
| title_full_unstemmed | Artificial intelligence in heavy metals detection: Methodological and ethical challenges |
| title_short | Artificial intelligence in heavy metals detection: Methodological and ethical challenges |
| title_sort | artificial intelligence in heavy metals detection methodological and ethical challenges |
| topic | Heavy metals (HMS) Environment Human health Artificial intelligence (AI) |
| url | http://www.sciencedirect.com/science/article/pii/S2773049223000272 |
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