TY - JOUR
T1 - Uncertainty from sampling in measurements of aflatoxins in animal feedingstuffs
T2 - Application of the Eurachem/CITAC guidelines
AU - Reiter, Elisabeth Viktoria
AU - Dutton, Mike Francis
AU - Agus, Ali
AU - Nordkvist, Erik
AU - Mwanza, Mulunda Feza
AU - Njobeh, Patrick Berka
AU - Prawano, Deni
AU - Häggblom, Per
AU - Razzazi-Fazeli, Ebrahim
AU - Zentek, Jürgen
AU - Andersson, Mats Gunnar
PY - 2011/10/7
Y1 - 2011/10/7
N2 - The duplicate method for estimating uncertainty from measurement including sampling is presented in the Eurachem/CITAC guide. The applicability of this method as a tool for verifying sampling plans for mycotoxins was assessed in three case studies with aflatoxin B1 in animal feedingstuffs. Aspects considered included strategies for obtaining samples from contaminated lots, assumptions about distributions, approaches for statistical analysis, log 10-transformation of test data and applicability of uncertainty estimates. The results showed that when duplicate aggregate samples are formed by interpenetrating sampling, repeated measurements from a lot can be assumed to approximately follow a normal or lognormal distribution. Due to the large variation in toxin concentration between sampling targets and sometimes very large uncertainty arising from sampling and sample preparation (Urel ≥ 50%), estimation of uncertainty from log10-transformed data was found to be a more generally applicable approach than application of robust ANOVA.
AB - The duplicate method for estimating uncertainty from measurement including sampling is presented in the Eurachem/CITAC guide. The applicability of this method as a tool for verifying sampling plans for mycotoxins was assessed in three case studies with aflatoxin B1 in animal feedingstuffs. Aspects considered included strategies for obtaining samples from contaminated lots, assumptions about distributions, approaches for statistical analysis, log 10-transformation of test data and applicability of uncertainty estimates. The results showed that when duplicate aggregate samples are formed by interpenetrating sampling, repeated measurements from a lot can be assumed to approximately follow a normal or lognormal distribution. Due to the large variation in toxin concentration between sampling targets and sometimes very large uncertainty arising from sampling and sample preparation (Urel ≥ 50%), estimation of uncertainty from log10-transformed data was found to be a more generally applicable approach than application of robust ANOVA.
UR - http://www.scopus.com/inward/record.url?scp=80052546357&partnerID=8YFLogxK
U2 - 10.1039/c1an15124j
DO - 10.1039/c1an15124j
M3 - Article
AN - SCOPUS:80052546357
SN - 0003-2654
VL - 136
SP - 4059
EP - 4069
JO - The Analyst
JF - The Analyst
IS - 19
ER -