Project description:Ionizing radiation exposure from a potential nuclear energy plant leak or detonation of a nuclear weapon can cause massive casualties to both warfighters and civilians. Biomarkers in biological specimens like blood and tissue, such as RNA, proteins, and metabolites, have shown potential to determine radiation dose levels. However, these biomarkers in blood and urine are short-lived, typically detectable only within hours or a few days. To address the need for stable, long-term radiation exposure biomarkers, we developed two LC-MS-based methods using non-invasive hair samples to identify radiation-induced biomarkers.
Project description:Ionizing radiation exposure from a potential nuclear energy plant leak or detonation of a nuclear weapon can cause massive casualties to both warfighters and civilians. Biomarkers in biological specimens like blood and tissue, such as RNA, proteins, and metabolites, have shown potential to determine radiation dose levels. However, these biomarkers in blood and urine are short-lived, typically detectable only within hours or a few days. To address the need for stable, long-term radiation exposure biomarkers, we developed two LC-MS-based methods using non-invasive hair samples to identify radiation-induced biomarkers
Project description:Ionizing radiation exposure from a potential nuclear energy plant leak or detonation of a nuclear weapon can cause massive casualties to both warfighters and civilians. Biomarkers in biological specimens like blood and tissue, such as RNA, proteins, and metabolites, have shown potential to determine radiation dose levels. However, these biomarkers in blood and urine are short-lived, typically detectable only within hours or a few days. To address the need for stable, long-term radiation exposure biomarkers, we developed two LC-MS-based methods using non-invasive hair samples to identify radiation-induced biomarkers.
Project description:Ionizing radiation exposure from a potential nuclear energy plant leak or detonation of a nuclear weapon can cause massive casualties to both warfighters and civilians. Biomarkers in biological specimens like blood and tissue, such as RNA, proteins, and metabolites, have shown potential to determine radiation dose levels. However, these biomarkers in blood and urine are short-lived, typically detectable only within hours or a few days. To address the need for stable, long-term radiation exposure biomarkers, we developed two LC-MS-based methods using non-invasive hair samples to identify radiation-induced biomarkers
