Traceability Of Milk Research Articles

Analysis of AY Field Brand Planning Based on Raw Milk Traceability

Mengniu and Yili have virtually monopolized the traditional Chinese dairy market, while new media marketing and digital strategies have opened up substantial business opportunities for emerging brands. Leveraging a differentiation strategy, the Adopt A Cow brand has successfully carved out its niche in the market, serving as an exemplary example. However, AY Field, as a self-owned brand by a supplier, faces the challenge of low product awareness among end consumers. This paper primarily concentrates on brand planning for the AY Field milk brand, with a focus on positioning the product for mid-range consumers, including students and office workers. The strategy involves the development of a new logo and packaging design, the selection of sports stars as brand ambassadors, and the implementation of innovative online sales promotions to bolster brand awareness and competitiveness. Research indicates that incorporating raw milk traceability and digital technology to establish a product brand with transparent ranches can significantly enhance AY Field’s competitive edge, facilitating the execution of a differentiated marketing strategy.

Blockchain Based Solutions for Milk Procurement Management and Adulteration Detection

In our day-to-day life, milk is a fundamental component that is rudimentary for many food products. Consuming milk regularly is very important because it is a mixture of various macro and micronutrients and is a source of proteins, fats, carbohydrates, and vitamins. Particularly in our nation, women’s empowerment and milk production are closely related. Furthermore, rural Indian communities rely heavily on small holder dairy farms for their livelihoods, and women play an important role in milk production. The dairy sector is estimated to contribute around 6% of the country’s agricultural GDP, with the value of milk production in India exceeding 200 million ton by the year 2023 [1]. Milk is a highly perishable commodity, when not handled properly it is susceptible to microbial spoilage. The milk after production must be processed properly to retain its quality till consumption. Nowadays, many milk vendors are adulterating the milk for financial gain. Consumers have the rights to obtain good and safe milk, as it is largely consumed by people of all age groups. Supply chain process of a small holder dairy farming has been examined recently in Salem, Tamil Nadu, India and it has been observed that the current process in dairy involves the accumulated milk from dairy farmers are being poured into the milk cane, then being detected and sent to a larger container where it is mixed with all the other milk. In most cases, it would be impossible to separate fresh milk from un-fresh milk. Therefore, the objective of this research work aims to develop a Blockchain and IoT based solution for milk procurement and adulteration detection there by providing a complete milk traceability data to the consumers from production to consumption, and establishing a trust in providing quality milk to the society.

Analysis and comparison of lipids in Saanen goat milk from different geographic regions in China based on UHPLC-QTOF-MS lipidomics

The lipids in goat milk from Guangdong Province (GGM), Shaanxi Province (SGM), and Inner Mongolia Province (NGM) were analyzed and compared using untargeted lipidomics. A total of 16 lipid sub-classes and 638 lipid molecules were identified in the three groups. The main lipids were diacylglycerol (DG), triacylglycerol (TG), and glycerophosphatidylethanolamine (PE). The contents of glycerophosphatidylcholine (PC), PE, glycerophosphatidylinositol (PI), sphingomyelin (SM), glucosylceramide (GlcCer), lactosylceramide (LacCer), DG, and TG were significantly different (P < 0.05) in three groups. Moreover, 173 significantly different lipids were screened out, and 13 lipid molecules could be applied as potential lipid markers for identifying the geographic region of goat milk. In addition, the related metabolic pathways were also analyzed. A hypothetical scheme was drawn by linking the most relevant metabolic pathways. This work will provide basics for the establishment of the Saanen goat milk traceability system and provide comprehensive lipid information for the goat milk of different regions.

Isotopic and Statistical Methods for the Traceability of Milk and Dairy Products

Isotopic and Statistical Methods for the Traceability of Milk and Dairy Products

Niğde İl Kaliteli Süt Üretimi Optimum Toplama ve Taşıma Planlaması

Bu çalışmada, Niğde İli Damızlık Sığır Yetiştiricileri Birliğine üye büyükbaş hayvancılık işletmelerinden sabah ve akşam toplayarak işleme tesislerine sattığı sütün kalite değerlerinin korunmasını esas alan bir toplama ve taşıma modelini belirlemek amaçlanmıştır. Yapılan çalışma kapsamında birliğe üye 19 hayvancılık işletmesinden 12 ay boyunca ayda 2 kez çiğ süt numuneleri alınmış ve birliğin laboratuvarında teknik personellerce analizleri yapılmıştır. Analizlerde yağ, protein, yağsız kuruma madde, toplam kuru madde ve laktoz değerlerinin yanı sıra somatik hücre ve toplam bakteri sayısı ölçüm değerleri toplanmıştır. Analizler sonucunda sütler toplam bakteri yüküne göre dört farklı tipe ayrılmıştır. Hayvancılık işletmelerinin coğrafi konumları ve belirlenen süt tipine göre toplama rotaları oluşturulmuştur. Bu kapsamda önerilen model “Tank Bazında Bölünebilir Talepli Matematiksel Model” olup GAMS 23.4.3 versiyonunda CPLEX 12.1.0 Solver‘ı kullanılarak çalıştırılmış ve optimum süt toplama rotaları oluşturulmuştur. Planlama 19 süt üreten büyükbaş hayvancılık işletmesinden Toplam Bakteri Sayısı esasına göre belirlenen 4 farklı tipteki sütün Toplama Merkezine belirli kısıtlar altında taşınmasını mümkün kılmaktadır. Son yıllarda yaşanan süt arzındaki artış işleme tesislerinin daha seçici davranmalarına imkân vermiştir. Bunun sonucu olarak daha temiz ve kaliteli sütü alma konusundaki kriterleri artırmıştır. Ayrıca bu işletmeler kalite değerleri yüksek süte daha fazla ücret ödemeyi de kabul etmektedirler. Niğde Damızlık Sığır Yetiştiricileri Birliği‘nin işleme tesisleri ile yaptığı kalite bazlı sözleşmeler sonucu yeni toplama modellerini uygulanması zorunlu hale gelmiştir. Bundan sora yapılacak çalışmalarda hayvancılık işletmesinden alınan sütün nihai ürün olarak tüketiciye gidinceye kadarki süreçte izlenebilirliği oldukça önemli bir çalışma konusu olacaktır.

Food Safety Traceability Method Based on Blockchain Technology

Food safety is a major issue related to the vital interests of the people. In recent years, food safety incidents have emerged in an endless stream in China. However, the existing food safety traceability methods lack of data sharing, which makes it difficult to conduct unified supervision on food safety. In view of the problems existing in the current food safety traceability method, this paper introduces blockchain technology in food safety traceability field, selects milk as the object of food safety traceability in this paper, analyzes the whole process of milk supply chain, designs the overall framework of milk traceability scheme according to the demand analysis and design principles of milk safety traceability scheme, and designs the scheme’s business function module, and chooses ECP-96 traceability coding scheme to ensure the uniqueness as well as security of milk traceability source. In view of the current application of blockchain technology, Hyperledger Fabric is creatively selected as the blockchain technology platform, and Go language is used to develop and implement the traceability method. Through the deployment of multiple nodes and functional testing, the expected food safety traceability goal is achieved.

A case of milk traceability in small-scale districts-Inner Mongolia of China by nutritional and geographical parameters

As far as we known, recent studies on the origin of agricultural products rarely focus on the source of cities or counties even small-scale districts, but traceability of small-scale districts of food is the research trend and difficulty of future researches. The most commonly used methods of origin tracing researches are stable isotope and element technology, because these indicators are directly related to local geographical environment. However, when the region of traceability is very close, it is necessary to find new parameters to enhance the accuracy of traceability in small-scale districts. This study uses a combination of nutritional (amino acids) and geographical parameters (stable isotopes, elements) to trace the origin of milk from eleven districts located in five cities of Inner Mongolia. The results showed that the combination of nutritional (amino acids) and geographical parameters (stable isotopes, elements) was the best source tracing method.

Application of multi-element (C, N, H, O) stable isotope ratio analysis for the traceability of milk samples from China

Cow milk samples from various provinces in China were collected, and the effects of lactation stage, sampling time, and geographic origin on the samples were studied by elemental analysis-isotope ratio mass spectrometry (EA-IRMS). Traceability accuracy was determined using δ13C, δ15N, δ2H and δ18O values to specifically assign geographic origin. Stable isotope ratios of C, N, H and O were not significantly different among three lactation stages; however the δ13C, δ15N, and δ18O values of milk were influenced by sampling time. Furthermore, there were highly significant regional differences in the mean δ13C and δ15N values of milk. In summary, the lactation stage had no effect on the traceability of milk, whereas sampling time and geographic origin did affect milk traceability. Different geographic locations with a separation distance greater than 0.7 km can be distinguished using multi-element (C, N, H, O) stable isotope ratio analysis.

Precipitation isotopic information: A tool for building the data base to verify milk geographical origin traceability

Isotopic composition of milk is affected by various environmental factors one of which is precipitation. Therefore, an attempt was made to investigate the effectiveness of precipitation isotopic information in order to build milk geographical origin data base. It was observed that there was significantly high correlation between δ2H data and δ18O data of milk with that of the precipitation as well as correlations between C and N content in the milk with that of latitude which enables clustering of milk samples based on their geographical origin. Meanwhile, H and O isotopic data were used as a potential tool for building database for geographical traceability of milk. As a conclusion, by applying factorial analysis a clear separation based on region of origin was observed which enables the grouping of samples in two clusters, namely north and south.

The O3-Farm Project: First Evaluation of a Business Process Management (BPM) Approach through the Development of an Experimental Farm Management System for Milk Traceability

The modeling of farm workflows, and the use of a business process management (BPM) paradigm, could enable improvement in the development of farm management information systems (FMIS). A rapid design of software applications could be possible and quick development, intrinsically service oriented, could be achieved through the use of a software suite for the implementation of BPM diagrams. As the first evaluation of this paradigm, an experimental FMIS was developed considering a “use-case” whose target was to develop a hardware and software solution for the traceability of milk. The outcomes of this activity have shown that the software application developed (O3-Farm) was able to provide all features of the database application previously used for the traceability of milk. At the same time, it was able to provide some new features such as increased usability, portability and efficiency. Also, the chance to integrate it with other possible software applications was increased as a result of a better sharing of agricultural data. This seems to suggest that a design, and a software suite, based on the BPM paradigm, could be a valid way for the development of FMIS also in line with the farm software environment models if its abilities to describe, use and deploy, workflows and software services are taken into consideration.

Role of Lanthanides in the Traceability of the Milk Production Chain.

The traceability and authentication of milk were studied using trace and ultratrace elements as chemical markers. Among these variables, the group of lanthanides resulted in being particularly useful for this purpose as a result of their homogeneous distribution inside milk, which showed on the contrary to be intrinsically inhomogeneous from the elemental point of view. Using in this pilot study milk samples from a factory in Piedmont (Italy), we demonstrated that the distribution of lanthanides can be used as a fingerprint to put into relation the soil of the pasture land on which cows graze and the bottled milk produced in the factory. In fact, the distribution is maintained nearly unaltered along the production chain of milk, apart from the passage into the stomachs of the cows. Using the same variables, it was possible to discriminate between milk produced in the factory and milk samples taken from the large-scale retail trade.

Isotopic ratio analysis of cattle tail hair: A potential tool in building the database for cow milk geographical traceability

The potential for the isotopic ratio analysis of cattle tail hair in determining the geographical origin of raw cow milk in Peninsular Malaysia had been investigated in this research using exploratory visualization. A significant positive correlation (p<0.0001) (n=54) was noticed between δ13C and δ15N in milk with that of hair which indicated that these matrices could be used in tracing the geographical origin of animal produce and tissues, and there is a possibility that hair could be used as a substitute in building the database for the geographical traceability of milk. It was also observed that both hair and milk isotopic ratio correlations exhibited separation between the northern and southern regions. The accuracy of using isotopic ratio in determining geographical discrimination had been clearly demonstrated when several commercial milk samples from the same regions under the study were correctly assigned to the appropriate geographical clusters.

The role of certificate issuer on consumers’ willingness‐to‐pay for milk traceability in China

AbstractIn response to increasing concerns about domestic food safety issues, establishing tracking systems in the food industry is mandatorily required under newly launched food safety laws. However, the kinds of monitoring and certification systems that should be set up to ensure practical adoption and the effectiveness of the regulation remain unclear. This study aims to analyze consumers’ preferences for milk traceability, with particular interest in investigating how consumers’ preferences could be affected by monitoring and certification systems of the regarding system. Survey data from a choice‐based conjoint (CBC) experiment are used to achieve this objective. In the experiment, milk is defined by a set of attributes in which we assume that milk traceability can be certified by three entities: the government, an industrial association, and a third party. The CBC data are then analyzed by using the alternative‐specific form of a conditional Logit (McFadden's Choice) model. We found that urban Chinese consumers have a strong desire for traceable milk, but their preference for traceable milk is significantly related to the associated certificate issuers. Currently, the highest willingness‐to‐pay goes to government certificated traceable milk, followed by industrial association certificated and third‐party certificated milks. In the future, however, consumers are likely to give more credit to third‐party certification with rising income and knowledge.