The Screening and Diagnosis Technologies Towards Pneumoconiosis: From Imaging Analysis to E-Noses
Pneumoconiosis, as the most widely distributed occupational disease globally, poses serious health and social hazards. Its diagnostic techniques have evolved from conventional imaging and computer-assisted analysis to emerging sensor strategies covering biomarker analysis, routine breath sensing, in...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-03-01
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| Series: | Chemosensors |
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| Online Access: | https://www.mdpi.com/2227-9040/13/3/102 |
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| author | Yuqian Zhang Wufan Xuan Shuai Chen Mingna Yang Huakun Xing |
| author_facet | Yuqian Zhang Wufan Xuan Shuai Chen Mingna Yang Huakun Xing |
| author_sort | Yuqian Zhang |
| collection | DOAJ |
| description | Pneumoconiosis, as the most widely distributed occupational disease globally, poses serious health and social hazards. Its diagnostic techniques have evolved from conventional imaging and computer-assisted analysis to emerging sensor strategies covering biomarker analysis, routine breath sensing, integrated electronic nose (E-nose), etc. All of them both have special advantages and face shortcomings or challenges in practical application. In recent years, the emergence of advanced data analysis technologies, including artificial intelligence (AI), has provided opportunities for large-scale screening of pneumoconiosis. On the basis of a deep analysis of the characteristics of the technologies for screening and diagnosis of pneumoconiosis, this paper comprehensively and systematically reviews the current development of these technologies, especially focusing on the research progress of emerging sensor technologies, and provides a forecast for their future development. |
| format | Article |
| id | doaj-art-e0bccf95604e464cac68a3813ee641e3 |
| institution | DOAJ |
| issn | 2227-9040 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Chemosensors |
| spelling | doaj-art-e0bccf95604e464cac68a3813ee641e32025-08-20T02:42:46ZengMDPI AGChemosensors2227-90402025-03-0113310210.3390/chemosensors13030102The Screening and Diagnosis Technologies Towards Pneumoconiosis: From Imaging Analysis to E-NosesYuqian Zhang0Wufan Xuan1Shuai Chen2Mingna Yang3Huakun Xing4Jiangxi Provincial Engineering Research Center for Waterborne Coatings, School of Chemistry and Chemical Engineering, Jiangxi Science & Technology Normal University, Nanchang 330013, ChinaSchool of Safety Science, Tsinghua University, Beijing 100084, ChinaJiangxi Provincial Engineering Research Center for Waterborne Coatings, School of Chemistry and Chemical Engineering, Jiangxi Science & Technology Normal University, Nanchang 330013, ChinaJiangxi Provincial Engineering Research Center for Waterborne Coatings, School of Chemistry and Chemical Engineering, Jiangxi Science & Technology Normal University, Nanchang 330013, ChinaInstitute of Energy Materials and Nanotechnology, School of Civil Engineering and Architecture, Nanchang Jiaotong Institute, Nanchang 330100, ChinaPneumoconiosis, as the most widely distributed occupational disease globally, poses serious health and social hazards. Its diagnostic techniques have evolved from conventional imaging and computer-assisted analysis to emerging sensor strategies covering biomarker analysis, routine breath sensing, integrated electronic nose (E-nose), etc. All of them both have special advantages and face shortcomings or challenges in practical application. In recent years, the emergence of advanced data analysis technologies, including artificial intelligence (AI), has provided opportunities for large-scale screening of pneumoconiosis. On the basis of a deep analysis of the characteristics of the technologies for screening and diagnosis of pneumoconiosis, this paper comprehensively and systematically reviews the current development of these technologies, especially focusing on the research progress of emerging sensor technologies, and provides a forecast for their future development.https://www.mdpi.com/2227-9040/13/3/102occupational diseasepneumoconiosisdiagnostic techniqueearly screeningimagingbreath analysis |
| spellingShingle | Yuqian Zhang Wufan Xuan Shuai Chen Mingna Yang Huakun Xing The Screening and Diagnosis Technologies Towards Pneumoconiosis: From Imaging Analysis to E-Noses Chemosensors occupational disease pneumoconiosis diagnostic technique early screening imaging breath analysis |
| title | The Screening and Diagnosis Technologies Towards Pneumoconiosis: From Imaging Analysis to E-Noses |
| title_full | The Screening and Diagnosis Technologies Towards Pneumoconiosis: From Imaging Analysis to E-Noses |
| title_fullStr | The Screening and Diagnosis Technologies Towards Pneumoconiosis: From Imaging Analysis to E-Noses |
| title_full_unstemmed | The Screening and Diagnosis Technologies Towards Pneumoconiosis: From Imaging Analysis to E-Noses |
| title_short | The Screening and Diagnosis Technologies Towards Pneumoconiosis: From Imaging Analysis to E-Noses |
| title_sort | screening and diagnosis technologies towards pneumoconiosis from imaging analysis to e noses |
| topic | occupational disease pneumoconiosis diagnostic technique early screening imaging breath analysis |
| url | https://www.mdpi.com/2227-9040/13/3/102 |
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