1,4-Dioxane has come under increasing regulatory scrutiny as concerns regarding its toxicity (as a carcinogen) and potential impact on drinking water supplies has increased.  As a consequence of increasing concern regarding human exposure, accurate determination of 1,4-Dioxane at previously unachievable detection limits is now required. These circumstances lead to a bewildering array of analytical options with a range of performance characteristics. This presentation will deconvolute the analytical permutations and focus on the most desirable modifications for specific data quality objectives.  Data users and project managers will understand the pros and cons of major method enhancements and how they are combined to provide the most cost-effective method for project-specific data quality objectives.