Supplementary files - Evaluation of MALDI-TOF MS technology in small ruminant milk adulteration using raw bovine milk
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The dataset is a part of Supplementary file for the manuscript: <strong>Evaluation of MALDI-TOF MS technology in small ruminant milk adulteration using raw bovine milk</strong> by L. Rysova, P. Cejnar, O. Hanus, V. Legarova, J. Havlik, H. Nejeschlebova, I. Nemeckova, R. Jedelska, M. Bozik, submitted to <em>Journal of Dairy Science</em> (Manuscript ID JDS.2021-21396), Received October 8, 2021, Accepted January 31, 2022, Corresponding author: bozik@af.czu.cz, https://doi.org/10.3168/jds.2021-21396 <strong>File 1:</strong> Detailed MALDI-TOF method description <strong>File 2: </strong>Quantification of milk adulteration – calibration of the model Quantification of milk adulteration – calibration of the model <strong>Table S1: </strong>Baseline characteristics of pure bovine milk which was used as an adulterant of caprine milk<strong> </strong> <strong>Table S2: </strong>Baseline characteristics of pure bovine milk which was used as an adulterant of ovine milk <strong>Table S3: </strong>Root mean squared error (RMSE) of predicted caprine and ovine adulterated milk samples using set A as the training set and set B as the test set. <strong>Table S4: </strong>Root mean squared error (RMSE) of predicted caprine and ovine adulterated milk samples using both, set A and set B , as the one training set and set C as the test set. <strong>Table S5: </strong>Root mean squared error (RMSE) of predicted caprine and ovine adulterated milk samples using set AB as the training set and set C as the test set. The authors thank the <strong>Ministry of Agriculture of the Czech Republic (grant NAZV QK1920222 in the program ZEMĚ)</strong> for the financial support and <strong>METROFOOD-CZ research infrastructure</strong> (Prague,Czech Republic; <strong>MEYS Grant No: LM2018100</strong>) for access to its facilities. P. C. acknowledges support by the <strong>Ministry of Education, Youth and Sports of the Czech Republic (Prague, Czech Republic; grant LTAIN19007</strong> Development of Advanced Computational Algorithms for Evaluating Post-surgery Rehabilitation) for data analysis.
