The influence of alcohol content variation in UK packaged beers on the uncertainty of calculations using the Widmark equation

Maskell, P.D. , Holmes, C., Huismann, M., Reid, S., Carr, M., Jones, B.J. and Maskell, D.L. (2018) The influence of alcohol content variation in UK packaged beers on the uncertainty of calculations using the Widmark equation. Science and Justice, 58(4), pp. 271-275. (doi: 10.1016/j.scijus.2018.03.003) (PMID:29895459)

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Abstract

It is common for forensic practitioners to calculate an individual's likely blood alcohol concentration following the consumption of alcoholic beverage(s) for legal purposes, such as in driving under the influence (DUI) cases. It is important in these cases to be able to give the uncertainty of measurement on any calculated result, for this reason uncertainty data for the variables used for any calculation are required. In order to determine the uncertainty associated with the alcohol concentration of beer in the UK the alcohol concentration (%v/v) of 218 packaged beers (112 with an alcohol concentration of ≤5.5%v/v and 106 with an alcohol concentration of >5.5%v/v) were tested using an industry standard near infra-red (NIR) analyser. The range of labelled beer alcohol by volume (ABV's) tested was 3.4%v/v – 14%v/v. The beers were obtained from a range of outlets throughout the UK over a period of 12 months. The root mean square error (RMSE) was found to be ±0.43%v/v (beers with declared %ABV of ≤5.5%v/v) and ±0.53%v/v (beers with declared %ABV of >5.5%v/v) the RMSE for all beers was ±0.48%v/v. The standard deviation from the declared %ABV is larger than those previously utilised for uncertainty calculations and illustrates the importance of appropriate experimental data for use in the determination of uncertainty in forensic calculations.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Maskell, Peter
Authors: Maskell, P.D., Holmes, C., Huismann, M., Reid, S., Carr, M., Jones, B.J., and Maskell, D.L.
College/School:College of Medical Veterinary and Life Sciences > School of Medicine, Dentistry & Nursing
Journal Name:Science and Justice
Publisher:Elsevier
ISSN:1355-0306
ISSN (Online):1876-4452
Published Online:06 March 2018

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