Monitoring the Hygiene of Raw Milk from Farms to Milk Retailers

Ruangwittayanusorn, Khanitta; Promket, Doungnapa; Chantiratikul, Anut

doi:10.1016/j.aaspro.2016.12.016

Cited by 8 publications

(4 citation statements)

References 5 publications

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“…These authors stated that the quality of the milk decreases along the dairy chain, a phenomenon attributed mainly to the absence of cooling systems. In the same line of research, Ruangwittayanusorn et al (2016) inspected the quality of milk during transport from the farm to the production center and later to retailers in the summer, rainy and winter seasons. The findings showed that the average time for transport without using a cooling system from the farm to the production centers was 76.29 min.…”

Section: Discussionmentioning

confidence: 99%

Quality of raw milk in the highland tropics of Nariño, Colombia

et al. 2020

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Introduction. The production and commercialization of raw milk in Nariño, Colombia, follows microbiological and compositional standards on which payment for quality is made. However, quality can be affected during its transport after milking. Objective. To describe the microbiological and compositional quality of raw milk in the highland tropic. Materials and methods. The study was carried out in seven municipalities in the department of Nariño, Colombia, during the rainy season between February and July of 2017. Two milk samples from the same milk can were collected, one after milking (farm; n = 10), and the second at the collection point (tank; n = 10). In each sample, the following variables were evaluated: height above the sea level of the collection site, aerobic mesophilic count (CFU), total coliform count (COL), milk temperature, fat (FAT), protein (PC) and total solids (TS). Results. The temperature of the milk was higher on the farm compared to the tank (30±0.68 vs. 23±0.87 °C, respectively). The aerobic mesophilic count was higher in the tank vs. farm (116,470 vs. 41,388 CFU ml-1, respectively). The temperature of the milk was negatively correlated with the distance and the transport time of the milk (-0.86 and -0.84, respectively). The compositional quality of the milk was not affected by transport conditions. Conclusion. In the high tropic conditions, the microbiological quality of raw milk was negatively affected by the increase in the aerobic mesophilic counts.

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Section: Discussionmentioning

confidence: 99%

Quality of raw milk in the highland tropics of Nariño, Colombia

et al. 2020

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“…After the quick quality screening, the fresh milk is stored in a cooled milk collection tank to maintain the quality. The milk must be cooled down immediately [1]. Cooling the milk below 4 °C inhibits the bacteria growth in the milk [2][3][4].…”

Section: Introductionmentioning

confidence: 99%

IoT-Based Temperature Monitoring for Milk Collection Tank in Remote Area

Sakti¹,

Putro²,

Anggraeni³

et al. 2023

Advances in Economics, Business and Management Research

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Monitoring the temperature of the milk collection tank in the milk collection plan is a necessary effort to achieve good milk quality indicated by lower bacterial content. The tank's temperature must reach below 4 °C in less than two hours after the last fresh milk input. Internet of Things (IoT) for temperature measurement enables real-time remote monitoring and visualization of the tank temperature. This paper presents a low-cost IoT temperature monitoring using the available electronic module in the market. With a data rate and remote location, the IoT system is developed based on 2G wireless sensor network. Using the electronic module, available mobile network and cloud storage enabled easy implementation of the IoT system. The developed system stores and provides real-time data which is accessible anywhere. The experimental results show that the developed system has an error rate of 0.14%. The real-time data of the milk collection tank temperature was successfully recorded and displayed. The pattern of the milk collection tank temperature can be observed from the collected data showing the tank's cooling process and the temperature regulation of the milk collection tank. The results show that implementation of the IoT monitoring system in remote area to improve the data availability is possible.

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“…The movement of milk and milk products along the value chain from farms through intermediate stages such as collection/cooling points to the retail market subjects the products to different hygiene conditions and causes them to undergo several changes including temperature variations [12,13]. On the other hand, changes in pH have been reported to affect the level and group of microorganisms present in IFM [14].…”

Section: Introductionmentioning

confidence: 99%

Meta-Analysis and Meta-Regression Indicate Dynamic Prevalence and Moderators of Foodborne Pathogens in African Indigenous Fermented Milk

et al. 2019

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As more microbiological data for indigenous fermented milk (IFM) becomes available, concern about their microbial safety becomes eminent. Nonetheless, these data are highly fragmented, and a tool is required to integrate existing data and to provide a basis for data-driven decision making for IFM’s safety. Therefore, meta-analysis and meta-regression were conducted to estimate the prevalence of foodborne pathogens in IFM and to determine factors influencing the estimated values. Using Africa as a case, searches were systematically made for published data and relevant grey literature. Data from 18 studies in 15 countries were analyzed. Staphylococcus aureus (37%), pathogenic Escherichia coli (16%), Listeria monocytogenes (6%), and Salmonella spp. (3%) were the most prevalent pathogens with a pooled prevalence estimate of 12%. Heterogeneity among prevalence estimates was attributed to sampling point and microbial group but could be moderated by publication year, country cluster, and methods for microbial confirmation. The pooled prevalence estimates increased over time as more studies became available, whereby the odds were higher in studies from 2010 onwards than studies before 2010. From the analyses, S. aureus presented the greatest safety concern in African IFM. Future microbiological studies should take into consideration different IFM sampling points and advanced analytical methods to identify pathogens.

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Monitoring the Hygiene of Raw Milk from Farms to Milk Retailers

Cited by 8 publications

References 5 publications

Quality of raw milk in the highland tropics of Nariño, Colombia

Quality of raw milk in the highland tropics of Nariño, Colombia

IoT-Based Temperature Monitoring for Milk Collection Tank in Remote Area

Meta-Analysis and Meta-Regression Indicate Dynamic Prevalence and Moderators of Foodborne Pathogens in African Indigenous Fermented Milk

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