HRMAS-NMR spectroscopy and multivariate analysis meat characterisation

Mena Ritota, Lorena Casciani, Sebastiana Failla, Massimiliano Valentini*

*المؤلف المقابل لهذا العمل

نتاج البحث: المساهمة في مجلةArticleمراجعة النظراء

59 اقتباسات (Scopus)

ملخص

1H-high resolution magic angle spinning-nuclear magnetic resonance spectroscopy was employed to gain the metabolic profile of longissimus dorsi and semitendinosus muscles of four different breeds: Chianina, Holstein Friesian, Maremmana and Buffalo.Principal component analysis, partial least squares projection to latent structure - discriminant analysis and orthogonal partial least squares projection to latent structure - discriminant analysis were used to build models capable of discriminating the muscle type according to the breed. Data analysis led to an excellent classification for Buffalo and Chianina, while for Holstein Friesian the separation was lower. In the case of Maremmana the use of intelligent bucketing was necessary due to some resonances shifting allowed improvement of the discrimination ability. Finally, by using the Variable Importance in Projection values the metabolites relevant for the classification were identified.

اللغة الأصليةEnglish
الصفحات (من إلى)754-761
عدد الصفحات8
دوريةMeat Science
مستوى الصوت92
رقم الإصدار4
المعرِّفات الرقمية للأشياء
حالة النشرPublished - ديسمبر 2012
منشور خارجيًانعم

ASJC Scopus subject areas

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