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Milk Spoilage: Methods and Practices of Detecting Milk Quality

¹ Department of Chemical & Biomolecular Engineering, University of Maryland, College Park, USA.
² Department of Chemical & Biomolecular Engineering, University of Maryland, College Park, USA
³ Department of Chemical & Biomolecular Engineering, University of Maryland, College Park, USA
⁴ Department of Chemical & Biomolecular Engineering, University of Maryland, College Park, USA.
⁵ Department of Chemical & Biomolecular Engineering, University of Maryland, College Park, USA.
⁶ Department of Chemical & Biomolecular Engineering, University of Maryland, College Park, USA
⁷ Department of Chemical & Biomolecular Engineering, University of Maryland, College Park, USA
⁸ Department of Chemical & Biomolecular Engineering, University of Maryland, College Park, USA
⁹ Department of Chemical & Biomolecular Engineering, University of Maryland, College Park, USA
¹⁰ Department of Chemical & Biomolecular Engineering, University of Maryland, College Park, USA.
¹¹ Department of Chemical & Biomolecular Engineering, University of Maryland, College Park, USA.
¹² Department of Chemical & Biomolecular Engineering, University of Maryland, College Park, USA.
¹³ Department of Chemical & Biomolecular Engineering, University of Maryland, College Park, USA.

Food and Nutrition Sciences·Volume 04 (2013)·Pages 113–123·Published 1 July 2013·DOI10.4236/fns.2013.47A014

Abstract

Milk spoilage is an indefinite term and difficult to measure with accuracy. This uncertainty can cause suffering for both milk manufacturers and consumers. Consumers who have been misled by ambiguous expiration dates on milk cartons waste resources by disposing of unspoiled milk or experience discomfort from drinking spoiled milk. Consumers are often unwilling to purchase products close to their inaccurate expiration dates. This consumer behavior has a negative financial impact on milk producers. Inaccurate milk spoilage detection methods also force milk producers to use overly conservative expiration dates in an effort to avoid the legal and economic consequences of consumers experiencing illness from drinking spoiled milk. Over the last decade, new methods have been researched with the purpose of developing more accurate and efficient means of detecting milk spoilage. These methods include indicators based on pH bacteria counts and gas-sensor arrays. This article explores various methods of spoilage detection designed to prevent such consequences. The respective level of effectiveness of each method is discussed, as well as several further approaches to contain freshness regardless of detection.

KeywordsMilk SpoilageDetectionpHpH DetectionMethylene Blue ReductionAmperometric SensorMagnetoelasticGas Sensor ArrayInfrared SpectroscopyLipid/Fat Count

J. Kim, D. Twede and J. Lichty, “Consumer Attitudes About Open Dating Techniques for Packaged Foods and Over-the-Counter Drugs,” Journal of Food Products Marketing, Vol. 4, No. 1, 1997, pp. 17-30. doi:10.1300/J038v04n01_03
United States Food and Drug Administration, “Foodborne Illness-Causing Organisms in the U.S.—What You Need to Know,” 2008. http://www.fda.gov/downloads/food/resourcesforyou/consumers/ucm187482.pdf
E. B. Hager, “Removing Mysterious Sell-By Date from Milk Cartons,” The New York Times, 15 June 2010. http://cityroom.blogs.nytimes.com/2010/06/15/removing-a-mysterious-sell-by-date-from-milk-cartons/
T. Fleischer, “NYC May Expire Milk Date Rules,” ABC News, 14 June 2010. http://abclocal.go.com/wabc/story?section=news/consumer&id=7497226
F. Fabricant, “Freshness of Milk Products,” The New York Times, 10 March 1982. http://www.nytimes.com/1982/03/10/garden/freshness-of-milk-products.html
I. N. A. Ashie, J. P. Smith, B. K. Simpson and N. F. Haard, “Spoilage and Shelf-Life Extension of Fresh Fish and Shellfish,” Critical Reviews in Food Science & Nutrition, Vol. 36, No. 1-2, 1996, pp. 87-121. doi:10.1080/10408399609527720
D. Restuccia, et al., “New EU Regulation Aspects and Global Market of Active and Intelligent Packaging for Food Industry Applications,” Food Control, Vol. 21, No. 11, 2010, pp. 1425-1435. doi:10.1016/j.foodcont.2010.04.028
J. D. Eifert, C. Gennings, W. H. Carter, S. E. Duncan and C. R. Hackney, “Predictive Model with Improved Statistical Analysis of Interactive Factors Affecting the Growth of Staphylococcus aureus,” Journal of Food Protection, Vol. 59, No. 6, 1996, pp. 608-614.
T. R. Klaenhammer, “Bacteriocins of Lactic Acid Bacteria,” Biochimie, Vol. 70, No. 3, 1988, pp. 337-349. doi:10.1016/0300-9084(88)90206-4
J. L. Kornacki and J. L. Johnson, “Enterobacteriaceae, Coliforms, and Escherichia coli as Quality and Safety Indicators,” Compendium of Methods for the Microbiological Examination of Foods, Vol. 4, 2001, pp. 69-82.
United States Department of Agriculture Agricultural Marketing Service, “Commodity Areas,” 2013. http://www.ams.usda.gov/AMSv1.0/dairy
R. P. Singh and B. A. Anderson, “The Major Types of Food Spoilage: An Overview,” In: R. Steele, Ed., Understanding and Measuring the Shelf-Life of Food, CRC Press, Boca Raton, 2004, pp. 3-23. doi:10.1533/9781855739024.1.3

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Milk Spoilage: Methods and Practices of Detecting Milk Quality

Abstract

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