Academic literature on the topic 'Dairy processing Quality control'
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Journal articles on the topic "Dairy processing Quality control"
Chauhan, I. A., Atanu Jana, A. K. Mackwana, and A. G. Bhadania. "Engineering Interventions for Technological Advancements in Dairy Industry." International Journal of Advance Research and Innovation 4, no. 4 (2016): 55–60. http://dx.doi.org/10.51976/ijari.441610.
Full textMa, Xiu Ying, Yun Xiang Liu, and Wan Jun Yu. "Quality Evaluation of Dairy Products Based on Electronic Nose." Applied Mechanics and Materials 475-476 (December 2013): 524–27. http://dx.doi.org/10.4028/www.scientific.net/amm.475-476.524.
Full textBurmistrov, Dmitriy E., Dmitriy Y. Pavkin, Artyom R. Khakimov, Dmitry N. Ignatenko, Evgeniy A. Nikitin, Vasily N. Lednev, Yakov P. Lobachevsky, Sergey V. Gudkov, and Andrei V. Zvyagin. "Application of Optical Quality Control Technologies in the Dairy Industry: An Overview." Photonics 8, no. 12 (December 3, 2021): 551. http://dx.doi.org/10.3390/photonics8120551.
Full textVishniakou, U. А., and Hu Zhifeng. "Development and Optimization of the Internet of Things Network for Product Quality Monitoring." Doklady BGUIR 20, no. 4 (June 29, 2022): 80–87. http://dx.doi.org/10.35596/1729-7648-2022-20-4-80-87.
Full textKaishev, V. G., and O. V. Sycheva. "Components of the quality of products of LLC "Pyatigorsk Dairy Plant"." Agrarian-And-Food Innovations 16 (December 29, 2021): 66–75. http://dx.doi.org/10.31208/2618-7353-2020-16-66-75.
Full textKharitonov, Vladimir, Vladimir Asafov, Evgeniya Iskakova, Nina Tankova, Tatsiana Halavach, and Vladimir Kurchenko. "Quality Control of Colostrum and Protein Calf Milk Replacers." Food Processing: Techniques and Technology 51, no. 1 (March 25, 2021): 188–95. http://dx.doi.org/10.21603/2074-9414-2021-1-188-195.
Full textBurke, Niamh. "Evaluating the Temperature of Incoming Raw Milk at a Dairy Processing Plant." Journal of Dairy Research and Technology 4, no. 1 (June 17, 2021): 1–6. http://dx.doi.org/10.24966/drt-9315/100024.
Full textKushnir, N., A. Ventsuryk, A. Zhemba, and D. Tsaruk. "Monitoring of resource-efficient provision of Ukrainian dairy processing enterprises with high-quality raw milk on the basis of international requirements." IOP Conference Series: Earth and Environmental Science 915, no. 1 (November 1, 2021): 012030. http://dx.doi.org/10.1088/1755-1315/915/1/012030.
Full textGREENE, ANNEL K., THOMAS G. REYNOLDS, and EMILY M. SOUTHERLAND. "Sanitary Evaluation of Target Flowmeter Used in a Dairy Processing Plant." Journal of Food Protection 54, no. 12 (December 1, 1991): 966–68. http://dx.doi.org/10.4315/0362-028x-54.12.966.
Full textBencini, R., and G. Pulina. "The quality of sheep milk: a review." Australian Journal of Experimental Agriculture 37, no. 4 (1997): 485. http://dx.doi.org/10.1071/ea96014.
Full textDissertations / Theses on the topic "Dairy processing Quality control"
Linde, Susanna Gezina. "Die ontwikkeling van 'n moniteringsprogram vir roumelkgehalte as deel van die gehaltebestuurstelsel van 'n melkprosesseerder in die Noordwes-provinsie." Thesis, Bloemfontein: Central University of Technology, Free State, 2008. http://hdl.handle.net/11462/264.
Full textIn this study, the development and implementation of a quality-monitoring program for raw milk as part of the quality management system of a milk processor was studied. Various aspects that contribute to raw milk quality were also included. Ten factors that are important in the production of good quality raw milk were summarised in the Ten Point Plan for the production of quality raw milk. Thirty-eight producers, who have supplied raw milk to the processor over a period of five year, were involved in this program. The producers are located all over the Northwest Province. Sixty thousand litres of milk is processed at the processor daily. The milk is taken in from the farms on alternative days by tankers supplied by the processor. A mark sheet was developed to evaluate control points during milking that can be measured directly from the laboratory. This was done monthly. Factors that could not be measured in the laboratory were evaluated when visits to the milk parlours were done twice a year. At the end of the year, the results of the mark sheet as well as the results of the parlour audits were compiled on a quality chart and the results were calculated as a percentage. The processor used the results of the quality charts to reward producers for quality milk. It was found that producers do not have the necessary infrastructure and knowledge to analyse milk. Analysing the raw milk and releasing the results to the producer are important measures to identify and manage problem areas that can pose a risk to the production of good quality raw milk. It is very important to supply the producer with the correct and relevant information because most of the representatives of companies, which visit the farms, supply information to the benefit of the product they sell. A formal monitoring program ensures that raw milk adhere to quality measures due to the fact that producers know the basic principles necessary for the production of good quality raw milk and the fact that the producer can implement measures in his/her own unique farm environment. The implementation of the Ten Point Plan for the production of quality raw milk at the processor had a significant influence on the quality of raw milk that was bought from producers. During times of milk shortages, the processor had to buy milk from alternative sources, which have no quality-monitoring program. Most of the times, this milk did not comply with the law regarding the total bacterial count, the coliform count, and the E. coli count. Record keeping is an important part of the management system of a dairy. Results from this study stressed a meaningful relationship between the keeping of records as mentioned in the Ten Point Plan and the production of good quality raw milk. It is recommended that producers be sharpened regarding the requirements for the production of good quality raw milk. Purchasing good quality raw milk assured the marketing of the best quality dairy products to the consumer. The contribution of this study to the dairy industry is the fact that the implementation of a quality-monitoring program ensures the maintenance of a sustainable quality of raw milk to the industry.
Gosselin, Ryan. "ON-LINE QUALITY CONTROL IN POLYMER PROCESSING USING HYPERSPECTRAL IMAGING." Thesis, Université Laval, 2010. http://www.theses.ulaval.ca/2010/26629/26629.pdf.
Full textThe use of plastic composite materials has been increasing in recent years in order to reduce the amount of material used and/or use more economic materials, all of which without compromising the properties. The impressive adaptability of these composite materials comes from the fact that the manufacturer can choose the raw materials, the proportion in which they are blended as well as the processing conditions. However, these materials tend to suffer from heterogeneous compositions and structures, which lead to mechanical weaknesses. Product quality is generally measured in the laboratory, using destructive tests often requiring extensive sample preparation. On-line quality control would allow near-immediate feedback on the operating conditions and may be transferrable to an industrial production context. The proposed research consists of developing an on-line quality control tool adaptable to plastic materials of all types. A number of infrared and ultrasound probes presently exist for on-line composition estimation, but only provide single-point values at each acquisition. These methods are therefore less adapted for identifying the spatial distribution of a sample’s surface characteristics (e.g. homogeneity, orientation, dispersion). In order to achieve this objective, a hyperspectral imaging system is proposed. Using this tool, it is possible to scan the surface of a sample and obtain a hyperspectral image, that is to say an image in which each pixel captures the light intensity at hundreds of wavelengths. Chemometrics methods can then be applied to this image in order to extract the relevant spatial and spectral features. Finally, multivariate regression methods are used to build a model between these features and the properties of the sample. This mathematical model forms the backbone of an on-line quality assessment tool used to predict and optimize the operating conditions under which the samples are processed.
Santos, Jose Eduardo Portela 1970. "Effect of grain processing, protein quality and bST on lactation performance and ovarian activity of dairy cows." Diss., The University of Arizona, 1997. http://hdl.handle.net/10150/282527.
Full textArroyo, Esquivel Esteban. "An adaptive image pre-processing system for quality control in production lines." Master's thesis, Instituto Politécnico de Bragança, Escola Superior de Tecnologia e Gestão, 2012. http://hdl.handle.net/10198/7984.
Full textGoutondji, Leopoldine E. S. Abul. "Preventing water pollution by dairy by-products risk assessment and comparison of legislation in Benin and South Africa /." Pretoria : [s.n.], 2007. http://upetd.up.ac.za/thesis/available/etd-10302008-165039/.
Full textMussa, Dinna Mathemi. "High pressure processing of milk and muscle foods : evaluation of process kinetics, safety and quality changes." Thesis, McGill University, 1999. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=35473.
Full textThe application of pressure pulse was explored for pressure destruction of microorganisms as well as changes in physical-chemical characteristics of pork chops. Pork chops (2 days post-rigor) were subjected to HP treatment from 200--350 MPa for 0--120 min. Results showed that pressure changes of pork variables followed a dual effect consisting of an instantaneous pressure kill (IPK) with the application of pressure pulse (no holding) and a subsequent first order rate of destruction during the pressure hold time. The IPK values were pressure dependent and increased with pressure level. Parameters k and D indicated a higher rate of pressure destruction of microorganisms compared to quality attributes.
Kinetics of pressure destruction of Listeria monocytogenes Scott A were studied in relation to those of indigenous microorganism of milk and pork. The IPK was more pronounced with L. monocytogenes than with indigenous microflora. However, the kinetic parameters (k and D values) indicated a larger pressure resistance for L. monoctyogenes. HP processes were developed based on the standard plate count (SPC) kinetic data for indigenous microflora of milk as well as L. monocytogenes in milk and pork. The results showed that SPC kinetics permitted good estimation of microbial destruction in low pressure-lethality processes of milk and pork but its application at higher pressure-lethality levels were inaccurate. On the other hand, processes established based an destruction of L. monocytogenes were more predictable. Pressure pulse application to microbial lethality was also well predicted.
The shelf-life of milk and pork increased with the level of applied pressure lethality, but Q10 values suggested that low storage temperature was nevertheless required to control microbial growth and maintain quality. Storage of HP treated park offered some improvement in the texture but resulted in large color changes and drip losses. L. monocytogenes were not detected in any of the stored milk samples HP treated to achieve a lethality ≥10D.
Wad, Charudatta V. "QoS : quality driven data abstraction for large databases." Worcester, Mass. : Worcester Polytechnic Institute, 2008. http://www.wpi.edu/Pubs/ETD/Available/etd-020508-151213/.
Full textYang, Jr-Syu. "Laser/optical fiber phased array generation of ultrasound for quality control of manufacturing processes." Diss., Georgia Institute of Technology, 1993. http://hdl.handle.net/1853/17286.
Full textHuang, Shiping. "Exploratory visualization of data with variable quality." Link to electronic thesis, 2005. http://www.wpi.edu/Pubs/ETD/Available/etd-01115-225546/.
Full textXU, HUAN. "IDENTIFICATION OF PROTEINS FACILITATING SP-C PROCESSING AND THE QUALITY CONTROL RECEPTOR SP-C." University of Cincinnati / OhioLINK, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1108342411.
Full textBooks on the topic "Dairy processing Quality control"
C, Chandan Ramesh, Kilara Arun, and Shah Nagendra P, eds. Dairy processing and quality assurance. Ames, Iowa: Blackwell Pub., 2008.
Find full textGriffiths, Mansel. Improving the safety and quality of milk: Improving quality in milk products. Oxford: Woodhead Pub., 2010.
Find full textSmit, Gerrit. Dairy processing: Improving quality. Boca Raton, Fla: CRC Press, 2003.
Find full textGerrit, Smit, ed. Dairy processing: Improving quality. Cambridge: Woodhead, 2003.
Find full textChandan, Ramesh C., ed. Dairy Processing & Quality Assurance. Oxford, UK: Wiley-Blackwell, 2008. http://dx.doi.org/10.1002/9780813804033.
Full textChandan, Ramesh C., Arun Kilara, and Nagendra P. Shah, eds. Dairy Processing and Quality Assurance. Chichester, UK: John Wiley & Sons, Ltd,, 2015. http://dx.doi.org/10.1002/9781118810279.
Full textRadiographic processing & quality control. Philadelphia: J.B. Lippincott Co., 1988.
Find full textComputerized quality control. 2nd ed. New York: Ellis Horwood, 1990.
Find full textCitrus processing: Quality control and technology. New York: Van Nostrand Reinhold, 1991.
Find full textQuality control in automation. Englewood Cliffs, N.J: Prentice-Hall, 1985.
Find full textBook chapters on the topic "Dairy processing Quality control"
Mucchetti, Germano, and Angelo V. Zambrini. "Milk Quality and Processing." In Advances in Dairy Products, 1–20. Chichester, UK: John Wiley & Sons Ltd, 2017. http://dx.doi.org/10.1002/9781118906460.ch1a.
Full textChandan, Ramesh C., and Arun Kilara. "Dairy-Based Ingredients." In Dairy Processing and Quality Assurance, 197–219. Chichester, UK: John Wiley & Sons, Ltd,, 2015. http://dx.doi.org/10.1002/9781118810279.ch08.
Full textKimball, Dan A. "Quality Control." In Citrus Processing, 141–89. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-4973-4_5.
Full textOlson, Douglas, and Kayanush J. Aryana. "Ingredients in Dairy Products." In Dairy Processing & Quality Assurance, 189–202. Oxford, UK: Wiley-Blackwell, 2009. http://dx.doi.org/10.1002/9780813804033.ch8.
Full textMostert, J. Ferdie, and Peter J. Jooste. "Quality Control in the Dairy Industry." In Dairy Microbiology Handbook, 655–736. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2005. http://dx.doi.org/10.1002/0471723959.ch14.
Full textAltomonte, Iolanda, Federica Salari, and Mina Martini. "Milk fat components and milk quality." In Microbiology in Dairy Processing, 1–10. Chichester, UK: John Wiley & Sons Ltd and the Institute of Food Technologists, 2017. http://dx.doi.org/10.1002/9781119115007.ch1.
Full textKimball, Dan. "Quality Control Statistics." In Citrus Processing, 371–87. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3700-3_23.
Full textKimball, Dan. "Quality Control Management." In Citrus Processing, 388–96. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3700-3_24.
Full textPoltronieri, Palmiro, and Franca Rossi. "Stabilization of milk quality by heat treatments." In Microbiology in Dairy Processing, 63–69. Chichester, UK: John Wiley & Sons Ltd and the Institute of Food Technologists, 2017. http://dx.doi.org/10.1002/9781119115007.ch4.
Full textChandan, Ramesh C., and Arun Kilara. "Puddings and Dairy-Based Desserts." In Dairy Processing and Quality Assurance, 397–427. Chichester, UK: John Wiley & Sons, Ltd,, 2015. http://dx.doi.org/10.1002/9781118810279.ch17.
Full textConference papers on the topic "Dairy processing Quality control"
Hoke, John L., John G. Georgiadis, and Rafael Jimenez-Flores. "Freezing of Aqueous Solutions of Glycosylated Bovine Beta-Casein." In ASME 1998 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1998. http://dx.doi.org/10.1115/imece1998-0813.
Full textQuan, Congna, and Huifeng Zhao. "Study on Countermeasures to Dairy Supply Chain Quality Security Control." In 2012 4th International Conference on Multimedia Information Networking and Security (MINES). IEEE, 2012. http://dx.doi.org/10.1109/mines.2012.208.
Full textQiang, Shen, Hou Yun-xian, Lu Xian-glin, Hu Xiao-jing, and Huang Ling-ling. "Study on the quality-control mechanism of dairy supply chain for Single Moral Hazard." In 2010 International Conference on Management Science and Engineering (ICMSE). IEEE, 2010. http://dx.doi.org/10.1109/icmse.2010.5719832.
Full textJames W Morris, Northrop Jere, Pagano Steve, and Bloom George. "Dairy Farm Atmospheric Emissions Control Using a Microaerobic Biological Nutrient Removal (BNR) Process." In International Symposium on Air Quality and Waste Management for Agriculture, 16-19 September 2007, Broomfield, Colorado. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2007. http://dx.doi.org/10.13031/2013.23918.
Full textFeng Tian. "A quality and safety control system for China's dairy supply chain based on HACCP & GS1." In 2016 13th International Conference on Service Systems and Service Management (ICSSSM). IEEE, 2016. http://dx.doi.org/10.1109/icsssm.2016.7538465.
Full textvan Harten, Louis D., Jelmer M. Wolterink, Joost J. C. Verhoeff, and Ivana Išgum. "Automatic online quality control of synthetic CTs." In Image Processing, edited by Bennett A. Landman and Ivana Išgum. SPIE, 2020. http://dx.doi.org/10.1117/12.2549286.
Full textMahiout, Said, Vladislav Torlov, Mohamed Gouda, and Ahmed Abouzaid. "High Resolution Acoustic Analysis for Improved Formation Evaluation of Carbonate and Clastic Reservoirs." In ADIPEC. SPE, 2022. http://dx.doi.org/10.2118/211603-ms.
Full textRanga, Ioan-Nicolae. "STATISTICAL PROCESSING AND SENSORY ANALYSIS USED IN ORDER TO OBTAIN THE ACID DAIRY PRODUCTS WITH SUPERIOR QUALITY." In 13th SGEM GeoConference NANO, BIO AND GREEN � TECHNOLOGIES FOR A SUSTAINABLE FUTURE. Stef92 Technology, 2013. http://dx.doi.org/10.5593/sgem2013/bf6/s25.024.
Full textEriksson, Klas. "Subsea Processing : Oil/Water Quality Control." In Offshore Technology Conference-Asia. Offshore Technology Conference, 2014. http://dx.doi.org/10.4043/24689-ms.
Full textShen, Qiang, Yun-xian Hou, and Xian-glin Lu. "Study on the quality-control mechanism of dairy supply chain —Based on External Lose Sharing model." In 2010 International Conference on Future Information Technology and Management Engineering (FITME). IEEE, 2010. http://dx.doi.org/10.1109/fitme.2010.5655829.
Full textReports on the topic "Dairy processing Quality control"
Baumgartner, W. V., A. W. Endres, and S. R. Reese. Quality control program for the Hanford External Dosimetry thermoluminescent processing system. Office of Scientific and Technical Information (OSTI), September 1992. http://dx.doi.org/10.2172/7262866.
Full textBaumgartner, W. V., A. W. Endres, and S. R. Reese. Quality control program for the Hanford External Dosimetry thermoluminescent processing system. Office of Scientific and Technical Information (OSTI), September 1992. http://dx.doi.org/10.2172/10177764.
Full textChu, C. W., and K. Salama. Materials, Processing and Quality Control for High Performance Coated High Temperature Superconducting Conductors. Fort Belvoir, VA: Defense Technical Information Center, January 2005. http://dx.doi.org/10.21236/ada430184.
Full textChu, C. W. Materials, Processing and Quality Control for High Performance Coated High Temperature Superconducting Conductors. Fort Belvoir, VA: Defense Technical Information Center, November 2006. http://dx.doi.org/10.21236/ada473427.
Full textHansen, Peter J., and Zvi Roth. Use of Oocyte and Embryo Survival Factors to Enhance Fertility of Heat-stressed Dairy Cattle. United States Department of Agriculture, August 2011. http://dx.doi.org/10.32747/2011.7697105.bard.
Full textBhatt, Parth, Curtis Edson, and Ann MacLean. Image Processing in Dense Forest Areas using Unmanned Aerial System (UAS). Michigan Technological University, September 2022. http://dx.doi.org/10.37099/mtu.dc.michigantech-p/16366.
Full textRouseff, Russell L., and Michael Naim. Characterization of Unidentified Potent Flavor Changes during Processing and Storage of Orange and Grapefruit Juices. United States Department of Agriculture, September 2002. http://dx.doi.org/10.32747/2002.7585191.bard.
Full textApiyo, Eric, Zita Ekeocha, Stephen Robert Byrn, and Kari L. Clase. Improving Pharmacovigilliance Quality Management System in the Pharmacy and Poisions Board of Kenya. Purdue University, December 2021. http://dx.doi.org/10.5703/1288284317444.
Full textZamir, Dani, and Steven Tanksley. Fine Mapping and Genetic Interactions of Nearly-Isogenic Allelic Series Representing Yield and Quality QTLs Derived from Wild Tomato Species. United States Department of Agriculture, July 2002. http://dx.doi.org/10.32747/2002.7586460.bard.
Full textProvenza, Frederick, Avi Perevolotsky, and Nissim Silanikove. Consumption of Tannin-Rich Forage by Ruminants: From Mechanism to Improved Performance. United States Department of Agriculture, April 2000. http://dx.doi.org/10.32747/2000.7695840.bard.
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