Multiclass Assays for Measuring Environmental Chemical Mixture Exposure: Analytical Methodologies and Applications in Exposomics Research
These thorough analytical methods deliver the requisite performance for extensive exposome-wide association studies, yielding quantitative results and uncovering unforeseen exposures, thereby augmenting our comprehension of the chemical exposome, which is essential for advancing disease prevention in public health and personalized medicine.
Authors
- Divya Pulivarthi (ORCID: https://orcid.org/0009-0002-2698-6181)
- Dhaval Patel (ORCID: https://orcid.org/0000-0002-6959-3487)
- Syam S. Andra (ORCID: https://orcid.org/0000-0003-2839-6417)
- Ravikumar Jagani (ORCID: https://orcid.org/0000-0002-7680-860X)
- Anil Kumar Meher (ORCID: https://orcid.org/0000-0002-1726-2424)
- H. M. Patel (ORCID: https://orcid.org/0009-0007-8973-4375)
- Jasmin Chovatiya (ORCID: https://orcid.org/0009-0007-9925-7795)
- Sandipkumar Teraiya (ORCID: https://orcid.org/0009-0002-7122-1970)
Institutions
- Icahn School of Medicine at Mount Sinai (US)
Publication Details
- Journal
- Metabolites
- Published
- 2025-11-16
- DOI
- https://doi.org/10.3390/metabo15110742
- Citations
- 1
- Primary Topic
- Health, Environment, Cognitive Aging
- Type
- article
- Field-Weighted Citation Impact
- 1.20