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From farm to fridge: Milk carton 'sell-by' dates may become more precise

Date:
August 27, 2018
Source:
Cornell University
Summary:
The 'sell-by' and 'best-by' dates on milk cartons may soon become more meaningful and accurate. Food scientists have created a new predictive model that examines spore-forming bacteria and when they emerge.
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The "sell-by" and "best-by" dates on milk cartons may soon become more meaningful and accurate. Cornell University food scientists have created a new predictive model that examines spore-forming bacteria and when they emerge, according to research published in the August 2018 print issue of the Journal of Dairy Science.

"Putting dates on milk cartons is a big issue, because consumers often discard the milk if it is past the sell-by date," said Martin Wiedmann, food safety professor and a senior author of the research. "Often there is little science behind those dates, as they are experience-based guesses. The goal of this research was to put good science to use, reduce food waste and reduce food spoilage."

All along the milk production path -- from farm to processing plant to consumers' refrigerators -- some spore-forming bacteria can survive even the best pasteurization regimens or the cleanest dairy production plants. The bacteria can subsequently germinate and spoil milk.

Ariel Buehler, Ph.D., the paper's lead author, said members of the spore-forming bacillus, Paenibacillus and Viridibacillus genera are ubiquitous throughout nature. They have been found throughout the dairy chain, including in farming soil, silage, feed, cow bedding material, milking equipment and in raw and pasteurized milk. Additionally, the bacteria can survive harsh heat, desiccation (dryness) and sanitizers. When they have the opportunity to grow in pasteurized milk, they can cause off-flavors and curdling.

"This is a considerable problem. If we can reduce the spoilage from spore-forming bacteria -- by reducing their presence and by controlling their outgrowth -- we can see the shelf life for milk improve from two weeks to perhaps a month," said Nicole Martin, research support specialist at Cornell's New York State Milk Quality Improvement Program laboratory.

Spores can be reduced in microfiltered milk products, which is currently an emerging trend in the dairy industry, and the research finds that temperature is a key. The team created a new predictive model that showed refrigerated milk at 39.2 degrees Fahrenheit dramatically lowers the mean concentration of spore-forming bacteria. By decreasing the refrigeration temperature from 42.8 degrees to 39.2 degrees, only 9 percent of milk half gallons were spoiled after 21 days, compared with 66 percent of half gallons held at the higher temperature.

Wiedmann imagines a day -- perhaps in five to eight years -- when consumers find no dates stamped on milk containers. Instead, a scannable barcode could provide the milk's production history and an accurate use-by date. Cartons could also sport a time-temperature indicator that communicates shelf-life prediction. "This is the foundational work that could get us there, where consumers could manage their food inventory in the fridge," said Wiedmann. "That's the vision."


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Materials provided by Cornell University. Note: Content may be edited for style and length.


Journal Reference:

  1. A.J. Buehler, N.H. Martin, K.J. Boor, M. Wiedmann. Psychrotolerant spore-former growth characterization for the development of a dairy spoilage predictive model. Journal of Dairy Science, 2018; 101 (8): 6964 DOI: 10.3168/jds.2018-14501

Cite This Page:

Cornell University. "From farm to fridge: Milk carton 'sell-by' dates may become more precise." ScienceDaily. ScienceDaily, 27 August 2018. <www.sciencedaily.com/releases/2018/08/180827121300.htm>.
Cornell University. (2018, August 27). From farm to fridge: Milk carton 'sell-by' dates may become more precise. ScienceDaily. Retrieved November 22, 2024 from www.sciencedaily.com/releases/2018/08/180827121300.htm
Cornell University. "From farm to fridge: Milk carton 'sell-by' dates may become more precise." ScienceDaily. www.sciencedaily.com/releases/2018/08/180827121300.htm (accessed November 22, 2024).

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