Lyn Jennifer A, Ramsey Michael H, Damant Andrew P, Wood Roger
Centre for Environmental Research, School Life Sciences, University of Sussex, Falmer, Brighton, UK.
Analyst. 2005 Nov;130(11):1507-12. doi: 10.1039/b506278k. Epub 2005 Sep 7.
Uncertainty associated with the result of a measurement can be dominated by the physical sample preparation stage of the measurement process. In view of this, the Optimised Uncertainty (OU) methodology has been further developed to allow the optimisation of the uncertainty from this source, in addition to that from the primary sampling and the subsequent chemical analysis. This new methodology for the optimisation of physical sample preparation uncertainty (u(prep), estimated as s(prep)) is applied for the first time, to a case study of myclobutanil in retail strawberries. An increase in expenditure (+7865%) on the preparatory process was advised in order to reduce the s(prep) by the 69% recommended. This reduction is desirable given the predicted overall saving, under optimised conditions, of 33,000 pounds Sterling per batch. This new methodology has been shown to provide guidance on the appropriate distribution of resources between the three principle stages of a measurement process, including physical sample preparation.
与测量结果相关的不确定性可能主要由测量过程中的物理样品制备阶段决定。鉴于此，优化不确定性（OU）方法得到了进一步发展，以便除了优化来自初次采样和后续化学分析的不确定性之外，还能优化来自该来源的不确定性。这种用于优化物理样品制备不确定性（u(prep)，估计为s(prep)）的新方法首次应用于零售草莓中腈菌唑的案例研究。为了将s(prep)降低建议的69%，建议在制备过程中增加支出（+7865%）。考虑到在优化条件下预计每批可节省33,000英镑，这种降低是可取的。这种新方法已被证明可为测量过程的三个主要阶段（包括物理样品制备）之间的资源合理分配提供指导。
