View dataset Edit metadata Reorder resources Title * URL /ckan/en/dataset/ Description Forensic laboratories face a critical challenge when determining the precise concentration of [alcohol in blood](//www.hta-it.com), primarily because legal outcomes heavily depend on these results. In driving under the influence (DUI) and driving while intoxicated (DWI) investigations, or severe traffic accidents, courts require unquestionable accuracy. The primary target in these investigations is ethanol. However, a major problem arises when other substances—such as methanol, isopropanol, acetone, or acetaldehyde—are present in the sample. These metabolites can interfere with standard testing, potentially leading to inaccurate ethanol quantification. To solve this complex problem, modern forensic facilities rely on highly specialized technology. The industry standard and most effective methodology for BAC analysis is headspace gas chromatography. Unlike traditional direct injection methods, utilizing a headspace blood alcohol sampling approach prevents non-volatile contaminants from entering and damaging the column. This significantly extends the equipment’s lifespan and minimizes the need for routine inlet maintenance. Our innovative blood alcohol gc solutions, which utilize dual-column gas chromatography and advanced autosamplers, provide an airtight resolution to interference issues. By employing two capillary columns with different stationary phases connected to a single injection port, the system guarantees that all analytes separate properly. This dual-column confirmation isolates the blood alcohol perfectly from any interfering substances. The process delivers rapid, highly reliable results—typically confirming levels in just two to four minutes. The benefits of this automated system are immense. Laboratories achieve exceptional reproducibility, robust legal defensibility, and a highly efficient workflow that easily handles a massive volume of samples with minimal manual preparation. You can use Markdown formatting here Tags License Please select the license Creative Commons Attribution Creative Commons Attribution Share-Alike Creative Commons CCZero Creative Commons Non-Commercial (Any) GNU Free Documentation License License not specified Open Data Commons Attribution License Open Data Commons Open Database License (ODbL) Open Data Commons Public Domain Dedication and License (PDDL) Other (Attribution) Other (Non-Commercial) Other (Not Open) Other (Open) Other (Public Domain) UK Open Government Licence (OGL) License definitions and additional information can be found at opendefinition.org Source Version Author Author Email Maintainer Maintainer Email Custom Field Key Value Custom Field Key Value Custom Field Key Value * Required field The data license you select above only applies to the contents of any resource files that you add to this dataset. By submitting this form, you agree to release the metadata values that you enter into the form under the Open Database License. Update Dataset