The USe Of eLeCTrOnIC nOSe TO dIfferenTIATe enTIre MALeS frOM IMMUnOCASTrATeS ( ASSOCIATIOn wITh LeveLS Of AndrOSTenOne And SkATOLe )

Carolina PUgLIeSe,Martin ŠkrLeP,Antonella MACAgnAnO, emiliano ZAMPeTTI,nina BATOrek, etienne LABUSSIÈre, Marjeta ČAndek-POTOkAr

semanticscholar(2013)

引用 0|浏览0
暂无评分
摘要
1 diSPAA, Animal Science Section. University of firenze, via delle Cascine, 5, IT-50144 firenze 2 Corresponding author, e-mail: carolina.pugliese@unifi.it 3 Agricultural Institute of Slovenia, hacquetova ul. 17, SI-1000 Ljubljana 4 Cnr-Institute for Microelectronics and Microsystems, via del fosso del Cavaliere, IT-00100 roma 5 InrA, UMr 1348 Pegase, f-35590 Saint-gilles, france; Agrocampus Ouest, UMr 1348 Pegase, f-35000 rennes ABSTRACT The aim of this work was to test the ability of the electronic nose (designed and fabricated by Cnr-Institute for Microelectronics and Microsystems rome, Italy) for the differentiation of subcutaneous fat samples from entire or immunocastrated pigs. Seven pigs immunocastrated with Improvac® (IC) and eight entire males (eM) from genotype Pietrain × (Large white × Landrace) were used. After the slaughter, samples of backfat were taken for the determination of androstenone and skatole concentrations. Thighs from experimental pigs (n = 30) were processed to dry-cured ham Kraški pršut. After the “riposo” phase, subcutaneous fat was sampled from thighs for the analysis with electronic nose. The device is based on eight gravimetric sensors (quartz crystal microbalances-QCMs) oscillating at 20 Mhz of fundamental frequency and coated with a proper set of organic polymers and macromolecules. Principal Component Analysis (PCA) was used to discriminate IC and eM, based on the signal acquired with electronic nose. The first two components explained 93.5% of variance. The discrimination of eM from IC was good but not flawless, because four eM samples were false negative, but only one pig was false negative for both samples/repetitions. It can be concluded that the results are promising and that the tested electronic nose is able to discriminate fat samples of eM, however, due to the methodological uncertainties (sampling fat after “riposo”) results should be considered preliminary and further work is needed.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要