Wang Y, Desai S, Kemmerling L, Trmcic A, Wiedmann M, Adalja AA. 2024. Dynamic pricing to reducing dairy food waste: Evidence from lab and grocery store experiments. https://doi.org/10.22004/ag.econ.343665
Qian, C., R. T. Lee, R. L. Weachock, M. Wiedmann, and N. H. Martin. 2024. A machine learning approach reveals that spore levels in organic bulk tank milk are dependent on farm characteristics and meteorological factors. J. Food Prot.
Qian, C., S. I. Murphy, T. T. Lott, N. H. Martin, and M. Wiedmann. 2023. Development and deployment of a supply-chain digital tool to predict fluid milk spoilage due to psychrotolerant sporeformers. J. Dairy. Sci. https://doi.org/10.3168/jds.2023-23673
Reichler, S.J., A. Orta-Ramirez, N.H. Martin, and M. Wiedmann. 2023. Culture-independent bacterial cell extraction from fluid milk and oat-based beverage for basic qualitative microscopy. J. Dairy. Sci. 4:65-69. https://doi.org/10.3168/jdsc.2022-0320
Griep, E., A. Trmčić, C. Qian, and C. Moraru. 2022. Monte Carlo simulation model predicts bactofugation can extend shelf-life of pasteurized fluid milk even when raw milk with low spore counts is used as the incoming ingredient. J. Dairy Sci. https://doi.org/10.3168/jds.2022-22174
Qian, C., N.H. Martin, M. Wiedmann, and A. Trmčić. 2022. Development of a risk assessment model to predict the occurrence of late blowing defect in Gouda cheese and evaluate potential intervention strategies. J. Dairy Sci. 105:2880–2894. https://doi.org/10.3168/jds.2021-21206.
Lau, S., A. Trmcic, N.H. Martin, M. Wiedmann, and S.I. Murphy. 2022. Development of a Monte Carlo simulation model to predict pasteurized fluid milk spoilage due to post-pasteurization contamination with gram-negative bacteria. J. Dairy Sci. 105:1978–1998. https://doi.org/10.3168/jds.2021-21316.
Nielsen, L., M. Rolighed, A. Buehler, S. Knøchel, M. Wiedmann, and C. Marvig. 2021. Development of predictive models evaluating the spoilage-delaying effect of a bioprotective culture on different yeast species in yogurt. J. Dairy Sci. 104:9570–9582. https://doi.org/10.3168/jds.2020-20076.
Murphy, S.I., S.J. Reichler, N.H. Martin, K.J. Boor, and M. Wiedmann. 2021. Machine learning and advanced statistical modeling can identify key quality management practices that affect postpasteurization contamination of fluid milk. J. Food Prot. 84:1496–1511. https://doi.org/10.4315/JFP-20-431.
Buehler, A.J., N.H. Martin, K.J. Boor, and M. Wiedmann. 2018. Psychrotolerant spore-former growth characterization for the development of a dairy spoilage predictive model. J. Dairy Sci. 101:6964–6981. https://doi.org/10.3168/jds.2018-14501.
Buehler, A.J., N.H. Martin, K.J. Boor, and M. Wiedmann. 2018. Evaluation of biopreservatives in Greek yogurt to inhibit yeast and mold spoilage and development of a yogurt spoilage predictive model. J. Dairy Sci. 101:10759–10774. https://doi.org/10.3168/jds.2018-15082.
