Rapid Liquid AP-MALDI MS Profiling of Lipids and Proteins from Goat and Sheep Milk for Speciation and Colostrum Analysis.
Rapid Liquid AP-MALDI MS Profiling of Lipids and Proteins from Goat and Sheep Milk for Speciation and Colostrum Analysis.
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DOI:
10.3390/proteomes8030020
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发表时间:
2020-08-21
期刊:
影响因子:
3.3
通讯作者:
Cramer R
中科院分区:
文献类型:
--
作者:
Piras C;Ceniti C;Hartmane E;Costanzo N;Morittu VM;Roncada P;Britti D;Cramer R
Rapid profiling of the biomolecular components of milk can be useful for food quality assessment and for food fraud detection. Differences in commercial value and availability of milk from specific species are often the reasons for the illicit and fraudulent sale of milk whose species origin is wrongly declared. In this study, a fast, MS-based speciation method is presented to distinguish sheep from goat milk and sheep colostrum at different phases. Using liquid atmospheric pressure (AP)-matrix-assisted laser desorption/ionisation (MALDI) MS, it was possible to classify samples of goat and sheep milk with 100% accuracy in one minute of data acquisition per sample. Moreover, an accuracy of 98% was achieved in classifying pure sheep milk samples and sheep milk samples containing 10% goat milk. Evaluating colostrum quality and postnatal stages represents another possible application of this technology. Classification of sheep colostrum samples that were collected within 6 hours after parturition and 48 hours later was achieved with an accuracy of 84.4%. Our data show that substantial changes in the lipid profile can account for the accurate classification of colostrum collected at the early and late time points. This method applied to the analysis of protein orthologs of different species can, as in this case, allow unequivocal speciation analysis.
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影响因子:
16.6
作者:
Cramer, Rainer;Pirkl, Alexander;Hillenkamp, Franz;Dreisewerd, Klaus
通讯作者:
Dreisewerd, Klaus
影响因子:
3.5
作者:
Bartier, A. L.;Windeyer, M. C.;Doepel, L.
通讯作者:
Doepel, L.
影响因子:
3.5
作者:
Contarini, G.;Povolo, M.;Degano, L.
通讯作者:
Degano, L.
影响因子:
4.1
作者:
Hale, Oliver J.;Morris, Michael;Cramer, Rainer
通讯作者:
Cramer, Rainer
影响因子:
2.7
作者:
Cui, N.;Wen, P. C.;Ren, F. Z.
通讯作者:
Ren, F. Z.