Real-time visual/near-infrared analysis of milk-clotting parameters for industrial applications

The economical profitability of the dairy industry is based on the quality of the bulk milk collected in the farms, therefore it was based on the herd level rather than on the individual animals at real time. Udder infection and stage of lactation are directly related to the quality of milk produced...

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Main Authors: G. Leitner, U. Merin, L. Lemberskiy-Kuzin, D. Bezman, G. Katz
Format: Article
Language:English
Published: Elsevier 2012-01-01
Series:Animal
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S175173111100245X
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spelling doaj-01c6c2ba906c44309c32ea51ce7385d52021-06-06T04:47:27ZengElsevierAnimal1751-73112012-01-016711701177Real-time visual/near-infrared analysis of milk-clotting parameters for industrial applicationsG. Leitner0U. Merin1L. Lemberskiy-Kuzin2D. Bezman3G. Katz4National Mastitis Reference Center, Kimron Veterinary Institute, Ministry of Agriculture and Rural Development, PO Box 12, Bet Dagan 50250, IsraelDepartment of Food Quality and Safety, Agricultural Research Organization, the Volcani Center, PO Box 6, Bet Dagan 50250, IsraelS.A.E. Afikim, Afikim, IsraelS.A.E. Afikim, Afikim, IsraelS.A.E. Afikim, Afikim, IsraelThe economical profitability of the dairy industry is based on the quality of the bulk milk collected in the farms, therefore it was based on the herd level rather than on the individual animals at real time. Udder infection and stage of lactation are directly related to the quality of milk produced on the herd level. However, improvement of milk quality requires testing each animal's milk separately and continuously. Recently, it was postulated that online equipment can estimate milk quality according to its clotting parameters, and thus result in better economical return for cheese making. This study further investigated the potential application of the AfiLab™ equipment to provide real-time analysis of milk-clotting parameters for cheese manufacture and cheese yield on quarter (1018) and individual cow (277) levels. Days in milk, lactose, log SCC and udder infection were found to have a significant effect on curd firmness and cheese properties and yield. The results clearly indicate that: (a) the parameter Afi-CF determined with the AfiLab™ is suitable for assessing milk quality for its clotting parameters, a value which is not provided by merely measuring fat and protein content on the gland and the cow levels; (b) bacterial type is the single major cause of reduced milk quality, with variations depending on the bacterial species; and (c) early and late lactation also had negative effects on milk-clotting parameters. Cheese made from the various milk samples that were determined by the Afilab™ to be of higher quality for cheese making resulted in higher yield and better texture, which were related mainly to the bacterial species and stage of lactation.http://www.sciencedirect.com/science/article/pii/S175173111100245Xmilk qualityonline sensingclotting parameterscheese
collection DOAJ
language English
format Article
sources DOAJ
author G. Leitner
U. Merin
L. Lemberskiy-Kuzin
D. Bezman
G. Katz
spellingShingle G. Leitner
U. Merin
L. Lemberskiy-Kuzin
D. Bezman
G. Katz
Real-time visual/near-infrared analysis of milk-clotting parameters for industrial applications
Animal
milk quality
online sensing
clotting parameters
cheese
author_facet G. Leitner
U. Merin
L. Lemberskiy-Kuzin
D. Bezman
G. Katz
author_sort G. Leitner
title Real-time visual/near-infrared analysis of milk-clotting parameters for industrial applications
title_short Real-time visual/near-infrared analysis of milk-clotting parameters for industrial applications
title_full Real-time visual/near-infrared analysis of milk-clotting parameters for industrial applications
title_fullStr Real-time visual/near-infrared analysis of milk-clotting parameters for industrial applications
title_full_unstemmed Real-time visual/near-infrared analysis of milk-clotting parameters for industrial applications
title_sort real-time visual/near-infrared analysis of milk-clotting parameters for industrial applications
publisher Elsevier
series Animal
issn 1751-7311
publishDate 2012-01-01
description The economical profitability of the dairy industry is based on the quality of the bulk milk collected in the farms, therefore it was based on the herd level rather than on the individual animals at real time. Udder infection and stage of lactation are directly related to the quality of milk produced on the herd level. However, improvement of milk quality requires testing each animal's milk separately and continuously. Recently, it was postulated that online equipment can estimate milk quality according to its clotting parameters, and thus result in better economical return for cheese making. This study further investigated the potential application of the AfiLab™ equipment to provide real-time analysis of milk-clotting parameters for cheese manufacture and cheese yield on quarter (1018) and individual cow (277) levels. Days in milk, lactose, log SCC and udder infection were found to have a significant effect on curd firmness and cheese properties and yield. The results clearly indicate that: (a) the parameter Afi-CF determined with the AfiLab™ is suitable for assessing milk quality for its clotting parameters, a value which is not provided by merely measuring fat and protein content on the gland and the cow levels; (b) bacterial type is the single major cause of reduced milk quality, with variations depending on the bacterial species; and (c) early and late lactation also had negative effects on milk-clotting parameters. Cheese made from the various milk samples that were determined by the Afilab™ to be of higher quality for cheese making resulted in higher yield and better texture, which were related mainly to the bacterial species and stage of lactation.
topic milk quality
online sensing
clotting parameters
cheese
url http://www.sciencedirect.com/science/article/pii/S175173111100245X
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AT umerin realtimevisualnearinfraredanalysisofmilkclottingparametersforindustrialapplications
AT llemberskiykuzin realtimevisualnearinfraredanalysisofmilkclottingparametersforindustrialapplications
AT dbezman realtimevisualnearinfraredanalysisofmilkclottingparametersforindustrialapplications
AT gkatz realtimevisualnearinfraredanalysisofmilkclottingparametersforindustrialapplications
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