TY - JOUR
T1 - Rapid evaporative ionization mass spectrometry for high-throughput screening in food analysis: The case of boar taint
AU - Verplanken, Kaat
AU - Stead, Sarah
AU - Jandova, R
AU - Van Poucke, Christof
AU - Claereboudt, Jan
AU - Vanden Bussche, Julie
AU - De Saeger, S
AU - Takats, Zoltan
AU - Wauters, J
AU - Vanhaecke, Lynn
PY - 2017/7/1
Y1 - 2017/7/1
N2 - Boar taint is a contemporary off-odor present in meat of uncastrated male pigs. As European Member States intend to abandon surgical castration of pigs by 2018, this off-odor has gained a lot of research interest. In this study, rapid evaporative ionization mass spectrometry (REIMS) was explored for the rapid detection of boar taint in neck fat. Untargeted screening of samples (n=150) enabled discrimination between sow, tainted and untainted boars. The obtained OPLS-DA models showed excellent classification accuracy, i.e. 99% and 100% for sow and boar samples or solely boar samples, respectively. Furthermore, the obtained models demonstrated excellent validation characteristics (R2(Y)=0.872-0.969; Q2(Y)=0.756-0.917), which were confirmed by CV-ANOVA (p<0.001) and permutation testing. In conclusion, in this work for the first time highly accurate and high-throughput (<10s) classification of tainted and untainted boar samples was achieved, rendering REIMS a promising technique for predictive modelling in food safety and quality applications.
AB - Boar taint is a contemporary off-odor present in meat of uncastrated male pigs. As European Member States intend to abandon surgical castration of pigs by 2018, this off-odor has gained a lot of research interest. In this study, rapid evaporative ionization mass spectrometry (REIMS) was explored for the rapid detection of boar taint in neck fat. Untargeted screening of samples (n=150) enabled discrimination between sow, tainted and untainted boars. The obtained OPLS-DA models showed excellent classification accuracy, i.e. 99% and 100% for sow and boar samples or solely boar samples, respectively. Furthermore, the obtained models demonstrated excellent validation characteristics (R2(Y)=0.872-0.969; Q2(Y)=0.756-0.917), which were confirmed by CV-ANOVA (p<0.001) and permutation testing. In conclusion, in this work for the first time highly accurate and high-throughput (<10s) classification of tainted and untainted boar samples was achieved, rendering REIMS a promising technique for predictive modelling in food safety and quality applications.
U2 - 10.1016/j.talanta.2017.03.056
DO - 10.1016/j.talanta.2017.03.056
M3 - A1: Web of Science-article
VL - 169
SP - 30
EP - 36
JO - Talanta
JF - Talanta
SN - 0039-9140
ER -