Journals / Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi / 2015 / Cilt: 21 - Sayı: 7

Importance of Decision Support Systems About Food Safety in Raw Milk Production

Çiğ Süt Üretiminde Gıda Güvenliği Açısından Karar Destek Sistemlerinin Önemi

Pages
319–324
Publication Date
2016-01-02
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In this article it will be underlined effects of decision support system elements on food safety of raw milk.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In raw milk production decision support systems for control of food safety hazards has not been developed but main points of this system are available.
📊
Key Findings & Data:In dairy sector decision support systems are significant for controlling of food safety hazards and preferred by producers.
💡
Conclusion & Impact:In this article it will be underlined effects of decision support system elements on food safety of raw milk.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Karar destek sistemleri · Gıda güvenlik tehlikeleri

Abstract

In raw milk production decision support systems for control of food safety hazards has not been developed but main points of this system are available. The decision support systems’ elements include data identification at critical points in the milk supply chain, an information management system and data exchange. Decision supports systems has been developed on the basis of these elements. In dairy sector decision support systems are significant for controlling of food safety hazards and preferred by producers. When these systems are implemented in the milk supply chain, it can be prevented unnecessary sampling and analysis. In this article it will be underlined effects of decision support system elements on food safety of raw milk.

Özet

Çiğ süt üretiminde çeşitli gıda güvenlik tehlikelerinin kontrolünde karar destek sistemleri henüz geliştirilmemiştir fakat bu sistemlerin temelini oluşturan noktalar hazır durumdadır. Karar destek sistemleri elementleri süt tedarik zincirinde kritik noktalarda veri tanımlanmasını, bilgi yönetim sistemini ve veri değişimini içerir. Bu elementlerin temeline dayanarak karar destek sistemleri geliştirilmektedir. Veri tanımlanması, bilgi yönetim sistemleri ve veri değişiminin bir arada kullanılmasıyla kısa zamanda karar verebilmek mümkün olmaktadır. Karar destek sistemleri süt sektöründe gıda güvenlik tehlikelerinin kontrolünde oldukça önemlidir ve üreticiler tarafından tercih edilebilmektedir. Bu sistemler uygulandığı takdirde gereksiz yere örnek alınması ve analiz yapılması engellenebilir. Bu makale de önemli karar destek sistemleri elementlerinin çiğ sütün gıda güvenliğine etkisinden bahsedilecektir.

🔖

Cite This Article

AKAN, E., KINIK, Ö. (2016). Importance of Decision Support Systems About Food Safety in Raw Milk Production. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, Cilt: 21 - Sayı: 7, 319–324. https://ajindex.com/articles/108896

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (14)

  1. OIE Animal Production Food Safety Working Group. “Guide to Good Farming Practices for Animal Production Food Safety”. Scientific and Technical Review International Office of Epizootics, 25(2), 823-836, 2006.
  2. Oliver SP, Boor KJ, Murphy SC, Murinda SE. “Food Safety Hazards Associated with Consumption of Raw Milk”. Foodborne Pathogens and Disease, 6(7), 793-806, 2009.
  3. Decastelli L, Lai J, Gramaglia M, Monaco A, Nachtmann C, Sezianb, C, Oldano F, Ruffierb M, Sezianb A, Bandirolab C. “Aflatoxins Occurrence in Milk and Feed in Northern Italy During 2004-2005”. Food Control, 18(10), 1263-1266, 2007.
  4. Giorni P, Magan N, Pietri A, Bertuzzi T. Battilani P. “Studies on Aspergillus Section Flavi Isolated From Maize in Northern Italy”. International Journal of Food Microbiology, 113(3), 330-338, 2007.
  5. Konosonoka IH, Jemeljanovs A, Osmane B, Ikauniece D, Gulbe G. “Incidence of Listeria spp. in Dairy Cows Feed and Raw Milk in Latvia”. ISRN Veterinary Science, 2012, 1-5, 2012.
  6. Kozak J, Balmer T, Byrne R, Fisher K. “Prevalence of Listeria monocytogenes in Foods: Incidence in Dairy Products”. Food Control, 7(4-5), 215-221, 1996.
  7. Meyer-Broseta S, Diot A, Bastian S, Riviere J, Cerf O. “Estimation of Low Bacterial Concentration: Listeria monocytogenes in raw milk”. International Journal of Food Microbiology, 80(1), 1-15, 2003.
  8. Rossi ML, Paiva A, Tornese M, Chianelli S, Troncoso A. “Listeria monocytogenes outbreaks: A Review of the Routes that Favor Bacterial Presence”. Revista Chilena de Infectologia, 25(5), 328-335, 2008.
  9. Turban E, Sharda R, Delen D. Decision Support and Business Intelligence Systems. 9th ed. USA, Prentice Hall, 2011.
  10. Gluchowski P, Gabriel R, Dittmar C. Management Support Systeme und Business Intelligence: Computergestützte Informationssysteme für Fach-und Führungskräfte. 2nd ed. Verlag Berlin Heidelberg, Germany, Springer, 2008.
  11. Amagliani G, Petruzzelli A, Omiccioli E, Tonucci F, Magnani M, Brandi G. “Microbiological Surveillance of a Bovine Raw Milk Farm Through Multiplex Real-Time PCR”. Foodborne Pathogens and Disease, 9(5), 406-411, 2012.
  12. Rebe Raz S, Haasnoot W. “Multiplex Bioanalytical Methods for Food and Environmental Monitoring”. TrAC Trends in Analytical Chemistry, 30(9), 1526-1537, 2011.
  13. Pederro M, Campuzano S, Pingarron J. “Electroanalytical Sensors and Devices for Multiplexed Detection of Foodborne Pathogen Microorganisms”. Sensors, 9(7), 5503-5520, 2009.
  14. Sharma H, Mutharasan R. “Review of Biosensors for Foodborne Pathogens and Toxins”. Sensors and