Biosensors, mechatronics, & microfluidics for early detection & monitoring of microbial corrosion: A comprehensive critical review
In numerous industries e.g. oilfield pipelines, marine media, medicine and biomaterials microbially-induced corrosion (MIC) or biocorrosion has been universally identified. With improvements within the field of machine learning and artificial intelligence, the focal point is to generate hybrid advan...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-06-01
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| Series: | Results in Materials |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590048X23000407 |
| _version_ | 1797804594906005504 |
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| author | Kobra Salimiyan rizi Ali Ashrafi |
| author_facet | Kobra Salimiyan rizi Ali Ashrafi |
| author_sort | Kobra Salimiyan rizi |
| collection | DOAJ |
| description | In numerous industries e.g. oilfield pipelines, marine media, medicine and biomaterials microbially-induced corrosion (MIC) or biocorrosion has been universally identified. With improvements within the field of machine learning and artificial intelligence, the focal point is to generate hybrid advances that have superior exactness and unwavering quality. The traditional techniques of evaluation in generalized corrosion cannot be used to investigate the first steps of biocorrosion. Because in the first steps of MIC, the visible or detectable signs for biocorrosion early detection are not still available (e.g., time-consuming of microbiological culture. Therefore, novel methods such as biosensors, microfluidics, and mechatronics can be useful. In these methods, the possibility of data sharing, online/in-site monitoring, organizing of the smart clouds data and providing of Internet-of-Things linkages are strongly applicable. Here, a critically review performed on the literature introducing the quantitative and qualitative methods for detection and monitoring of microbial corrosion. |
| first_indexed | 2024-03-13T05:39:33Z |
| format | Article |
| id | doaj.art-6c4aad8efaa14818b32036f47ac89aed |
| institution | Directory Open Access Journal |
| issn | 2590-048X |
| language | English |
| last_indexed | 2024-03-13T05:39:33Z |
| publishDate | 2023-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Results in Materials |
| spelling | doaj.art-6c4aad8efaa14818b32036f47ac89aed2023-06-14T04:34:04ZengElsevierResults in Materials2590-048X2023-06-0118100402Biosensors, mechatronics, & microfluidics for early detection & monitoring of microbial corrosion: A comprehensive critical reviewKobra Salimiyan rizi0Ali Ashrafi1Department of Materials Engineering, Isfahan University of Technology, Isfahan 84156-83111, Iran; School of Medicine, Isfahan University of Medical Sciences, Isfahan 81744176, Iran; Corresponding author.Department of Materials Engineering, Isfahan University of Technology, Isfahan 84156-83111, Iran. And Isfahan University of Medical Sciences, Isfahan 81744176, Iran.Department of Materials Engineering, Isfahan University of Technology, Isfahan 84156-83111, Iran; Corresponding author.Department of Materials Engineering, Isfahan University of Technology, Isfahan 84156-83111, Iran.In numerous industries e.g. oilfield pipelines, marine media, medicine and biomaterials microbially-induced corrosion (MIC) or biocorrosion has been universally identified. With improvements within the field of machine learning and artificial intelligence, the focal point is to generate hybrid advances that have superior exactness and unwavering quality. The traditional techniques of evaluation in generalized corrosion cannot be used to investigate the first steps of biocorrosion. Because in the first steps of MIC, the visible or detectable signs for biocorrosion early detection are not still available (e.g., time-consuming of microbiological culture. Therefore, novel methods such as biosensors, microfluidics, and mechatronics can be useful. In these methods, the possibility of data sharing, online/in-site monitoring, organizing of the smart clouds data and providing of Internet-of-Things linkages are strongly applicable. Here, a critically review performed on the literature introducing the quantitative and qualitative methods for detection and monitoring of microbial corrosion.http://www.sciencedirect.com/science/article/pii/S2590048X23000407Microbial corrosionBiosensorsMechatronicsMicrofluidicsIn-site detection |
| spellingShingle | Kobra Salimiyan rizi Ali Ashrafi Biosensors, mechatronics, & microfluidics for early detection & monitoring of microbial corrosion: A comprehensive critical review Results in Materials Microbial corrosion Biosensors Mechatronics Microfluidics In-site detection |
| title | Biosensors, mechatronics, & microfluidics for early detection & monitoring of microbial corrosion: A comprehensive critical review |
| title_full | Biosensors, mechatronics, & microfluidics for early detection & monitoring of microbial corrosion: A comprehensive critical review |
| title_fullStr | Biosensors, mechatronics, & microfluidics for early detection & monitoring of microbial corrosion: A comprehensive critical review |
| title_full_unstemmed | Biosensors, mechatronics, & microfluidics for early detection & monitoring of microbial corrosion: A comprehensive critical review |
| title_short | Biosensors, mechatronics, & microfluidics for early detection & monitoring of microbial corrosion: A comprehensive critical review |
| title_sort | biosensors mechatronics amp microfluidics for early detection amp monitoring of microbial corrosion a comprehensive critical review |
| topic | Microbial corrosion Biosensors Mechatronics Microfluidics In-site detection |
| url | http://www.sciencedirect.com/science/article/pii/S2590048X23000407 |
| work_keys_str_mv | AT kobrasalimiyanrizi biosensorsmechatronicsampmicrofluidicsforearlydetectionampmonitoringofmicrobialcorrosionacomprehensivecriticalreview AT aliashrafi biosensorsmechatronicsampmicrofluidicsforearlydetectionampmonitoringofmicrobialcorrosionacomprehensivecriticalreview |