Environmental Applications of Mass Spectrometry for Emerging Contaminants
Emerging contaminants (ECs), encompassing pharmaceuticals, personal care products, pesticides, and industrial chemicals, represent a growing threat to ecosystems and human health due to their persistence, bioaccumulation potential, and often-unknown toxicological profiles. Addressing these challenge...
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MDPI AG
2025-01-01
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| Series: | Molecules |
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| Online Access: | https://www.mdpi.com/1420-3049/30/2/364 |
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| author | Anil Kumar Meher Akli Zarouri |
| author_facet | Anil Kumar Meher Akli Zarouri |
| author_sort | Anil Kumar Meher |
| collection | DOAJ |
| description | Emerging contaminants (ECs), encompassing pharmaceuticals, personal care products, pesticides, and industrial chemicals, represent a growing threat to ecosystems and human health due to their persistence, bioaccumulation potential, and often-unknown toxicological profiles. Addressing these challenges necessitates advanced analytical tools capable of detecting and quantifying trace levels of ECs in complex environmental matrices. This review highlights the pivotal role of mass spectrometry (MS) in monitoring ECs, emphasizing its high sensitivity, specificity, and versatility across various techniques such as Gas Chromatography-Mass Spectrometry (GC-MS), Liquid Chromatography-Mass Spectrometry (LC-MS), and High-Resolution Mass Spectrometry (HR-MS). The application of MS has facilitated the real-time detection of volatile organic compounds, the comprehensive non-targeted screening of unknown contaminants, and accurate quantification in diverse matrices including water, soil, and air. Despite its effectiveness, challenges such as matrix interferences, a lack of standardized methodologies, and limited spectral libraries persist. However, recent advancements, including hybrid MS systems and the integration of artificial intelligence (AI), are paving the way for more efficient environmental monitoring and predictive modeling of contaminant behavior. Continued innovation in MS technologies and collaborative efforts are essential to overcome existing challenges and ensure sustainable solutions for mitigating the risks associated with emerging contaminants. |
| format | Article |
| id | doaj-art-df04b76763fb403abbfdcb8806ebdd68 |
| institution | Kabale University |
| issn | 1420-3049 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Molecules |
| spelling | doaj-art-df04b76763fb403abbfdcb8806ebdd682025-01-24T13:43:47ZengMDPI AGMolecules1420-30492025-01-0130236410.3390/molecules30020364Environmental Applications of Mass Spectrometry for Emerging ContaminantsAnil Kumar Meher0Akli Zarouri1Department of Bioproducts and Biosystems Engineering, University of Minnesota, St. Paul, MN 55108, USADepartment of Bioproducts and Biosystems Engineering, University of Minnesota, St. Paul, MN 55108, USAEmerging contaminants (ECs), encompassing pharmaceuticals, personal care products, pesticides, and industrial chemicals, represent a growing threat to ecosystems and human health due to their persistence, bioaccumulation potential, and often-unknown toxicological profiles. Addressing these challenges necessitates advanced analytical tools capable of detecting and quantifying trace levels of ECs in complex environmental matrices. This review highlights the pivotal role of mass spectrometry (MS) in monitoring ECs, emphasizing its high sensitivity, specificity, and versatility across various techniques such as Gas Chromatography-Mass Spectrometry (GC-MS), Liquid Chromatography-Mass Spectrometry (LC-MS), and High-Resolution Mass Spectrometry (HR-MS). The application of MS has facilitated the real-time detection of volatile organic compounds, the comprehensive non-targeted screening of unknown contaminants, and accurate quantification in diverse matrices including water, soil, and air. Despite its effectiveness, challenges such as matrix interferences, a lack of standardized methodologies, and limited spectral libraries persist. However, recent advancements, including hybrid MS systems and the integration of artificial intelligence (AI), are paving the way for more efficient environmental monitoring and predictive modeling of contaminant behavior. Continued innovation in MS technologies and collaborative efforts are essential to overcome existing challenges and ensure sustainable solutions for mitigating the risks associated with emerging contaminants.https://www.mdpi.com/1420-3049/30/2/364emerging contaminantsmass spectrometryLC-MSGC-MSPTR-MSdata analysis |
| spellingShingle | Anil Kumar Meher Akli Zarouri Environmental Applications of Mass Spectrometry for Emerging Contaminants Molecules emerging contaminants mass spectrometry LC-MS GC-MS PTR-MS data analysis |
| title | Environmental Applications of Mass Spectrometry for Emerging Contaminants |
| title_full | Environmental Applications of Mass Spectrometry for Emerging Contaminants |
| title_fullStr | Environmental Applications of Mass Spectrometry for Emerging Contaminants |
| title_full_unstemmed | Environmental Applications of Mass Spectrometry for Emerging Contaminants |
| title_short | Environmental Applications of Mass Spectrometry for Emerging Contaminants |
| title_sort | environmental applications of mass spectrometry for emerging contaminants |
| topic | emerging contaminants mass spectrometry LC-MS GC-MS PTR-MS data analysis |
| url | https://www.mdpi.com/1420-3049/30/2/364 |
| work_keys_str_mv | AT anilkumarmeher environmentalapplicationsofmassspectrometryforemergingcontaminants AT aklizarouri environmentalapplicationsofmassspectrometryforemergingcontaminants |