China Dairy

Research Progress on De-mutton Technology of Goat Milk

China Dairy. 2025, (9): 145-150.

As an important part of traditional dairy products,goat milk is favored by more and more consumers for its unique nutritional value and health benefits,but its distinctive muttony has become a major obstacle restricting its market popularization and consumer acceptance.In recent years,with the continuous progress of science and technology and the growing demand for healthy diet,the technology of goat milk de-mutton has been widely concerned and studied.This paper aimed to review the current research progress of goat milk de-mutton technology,and discussed its development trend,so as to provide reference for researchers and practitioners in related fields.

Research on Natural Active Components in Milk and their Influencing Factors

China Dairy. 2025, (9): 135-144.

Milk is a nutritionally complete natural food,rich in a variety of essential nutrients such as proteins,fats,carbohydrates,vitamins,and minerals,while also containing multiple natural active ingredients with physiological regulatory functions. This paper systematically reviewed the biological functions and health effects of key natural active components in milk—including conjugated linoleic acid （CLA）,α-linolenic acid （ALA）,eicosapentaenoic acid （EPA）,docosahexaenoic acid （DHA）,lactoferrin,and immunoglobulins—and emphasizes the impact of factors such as feeding methods,diet composition,seasonal variations,parity,and lactation stage on their content. The aim is to provide a theoretical basis for scientific milk consumption and the development of high-value-added dairy products.

Application of Anodic Stripping Voltammetry for Rapid Detection of Lead Content in Liquid Milk

LIU Yanling, DUAN Hongli, YU Ze, LIU Changyu, LIU Jiangmei, LI Lifen, ZHANG Hao, HOU Lingqin

China Dairy. 2025, (9): 129-134.

[Objective]To establish a method for detecting lead content in milk and dairy products based on anodic stripping voltammetry（ASV）,and systematically evaluated the applicability of this method in raw milk,sterilized milk,modified milk,and fermented milk matrices.[Method]By optimizing the pre-treatment conditions,matrix interference was significantly reduced.A systematic and comprehensive method validation was conducted using the national standard substance（GBW08619） confirming that the method had good accuracy.[Result]The detection limit（LOD） and quantification limit（LOQ）of raw milk,sterilized milk,modified milk and fermented milk were 0.005 mg/kg and 0.01 mg/kg,respectively,which were at the same level as “GB 5009.12-2023 National Food Safety Standard - Determination of Lead in Foods”.The spiked recovery experiment showed that the recovery rate in different matrices were 70%~115%（spiked level of 0.01~0.04 mg/kg）.The precision test showed that the precision in different matrices ranged from 3.32% to 18.59%.[Conclusion]This method was easy to operate and highly sensitive,and was suitable for the rapid screening and quantitative analysis of trace lead in dairy products,providing reliable technical support for food safety risk monitoring.

Research and Application on the Detection of Furosine Content in Pasteurized Milk by Near-infrared Spectroscopy Technology

China Dairy. 2025, (9): 118-122.

[Objective] To explore the application of near-infrared spectroscopy technology in the detection of furosine content in pasteurized milk.[Method]The model was jointly established by high-performance liquid chromatography（HPLC）and near-infrared spectroscopy technology. Applicability validation study on the detection of furosine content in pasteurized milk using a newly created model.[Result] The detection time of near-infrared spectroscopy technology was shortened from 27 hours to 1 minute,reducing the detection time by 26 hours and 59 minutes.The correlation coefficient R² of the calibration model was 0.96,and the linear distribution was excellent.[Conclusion]According to relevant regulations and enterprise standards,the determination results of furosine content by near-infrared spectroscopy and HPLC show good consistency. The combined modeling detection of near-infrared spectroscopy technology has the advantages of fast detection speed,simple operation and accurate results.Evaluated from aspects such as standard requirements,data accuracy,stability,time efficiency and cost,the results of this study showed that near-infrared spectroscopy had certain accuracy and stability,and was convenient,fast and low-cost to operate. It can be popularized as a fast and effective method for the detection of furosine content in pasteurized milk.

Exploration of the Current Situation and Future Development Directions of Salmonella Detection Technologies in Dairy Products

China Dairy. 2025, (9): 108-117.

The safety of dairy products is crucial to public health.As a common foodborne pathogen in dairy products,the accurate and rapid detection of Salmonella is of vital importance.This review systematically analyzed the current four major testing systems：Although the detection method based on GB 4789.4-2024 National Food Safety Standard - Microbiological testing of food - Salmonella Testing holds the status of a “gold standard”,it has a bottleneck in the testing cycle of 3 to 7 days.Molecular detection methods include conventiona PCR,derived PCR and novel CRISPR/Cas systems. The minimum detection limit can reach 1.00 CFU/mL,but struggle with the problem of interference from live/dead bacteria. Immunoassays include ELISA and lateral flow strips. The minimum detection limit can reach 1.04×10² CFU/mL, but there is matrix interference from various substances in dairy products.Biosensors integrate nanomaterials and aptamers to achieve a minimum detection limit of 5.00 CFU/mL. Its portability makes it suitable for on-site use.Current Salmonella detection technologies have its own advantages and disadvantages. A single technology shows limitations,but multimodal combined technology can overcome these shortcomings. By integrating cutting-edge technologies, it is expected to bring about a revolution in Salmonella detection and enhance public health protection.

Study on the Correlation between Somatic Cell Count and Milk Composition of Dairy Goats in Different Lactating Months

LIU Gang, SUN Qiang, YU Tuan

China Dairy. 2025, (9): 91-96.

[Objective]This study aimedto investigate the changes in somatic cell count（SCC）of dairy goats across different lactation months and analyze the correlation between SCC and major milk components.[Method] In 2024,208 lactating dairy goats were randomly selected.Milk samples were collected in March,July,and October to measure SCC,as well as major milk components such as milk fat,protein,and lactose.Data analysis was conducted using SPSS software.[Result]The results showed that SCC in March was significantly lower than that in July（P<0.05）.SCC had a highly significant positive correlation with milk protein（P<0.01）,a positive but non-significant correlation with fat and non-fat solids（P>0.05）,a highly significant negative correlation with lactose and urea nitrogen（P<0.01）,and a significant positive correlation with total solids（P<0.05）.[Conclusion]It is recommended to measure SCC and milk components in March as standards for assessing the quality of goat milk,which can help improve the overall quality of goat milk.

Research on the Optimization of the Path of Tax Preferential Empowerment to Promote the High-quality Development of the Dairy Industry

China Dairy. 2025, (9): 68-72.

This paper analyzed the empowering effect of tax preferential policies on the high-quality development of the dairy industry. It systematically organized the implementation status of policies such as value-added tax （VAT） exemption and reduction,tax credits,and corporate income tax preferences,and deeply explored the core problems of the current tax preferential policies,including insufficient pertinence,narrow coverage,limited support intensity,and lagging policy updates. On this basis,targeted optimization strategies were proposed：formulating special tax preferential policies for the dairy industry,expanding the coverage of preferential policies,strengthening the implementation of policies,and emphasizing the need to timely update and improve the tax preferential policy system for the dairy industry. These measures aimed to provide precise policy support for the high-quality development of the dairy industry,help optimize the industrial layout of the dairy industry,and enhance the overall development quality of the industry.

Research Progress and Practical Application of Anti-inflammatory and Analgesic Management in Dairy Cattle at Home and Abroad

China Dairy. 2025, (9): 97-107.

This paper systematically reviewed the research progress and practical application of anti-inflammatory and analgesic management in dairy cattle both domestically and internationally from 2015 to 2025. Starting with the identification methods of common inflammatory conditions in dairy cows (such as mastitis, metritis, postpartum inflammation, and calf inflammation), it elaborated on subjective and objective pain assessment systems, including behavioral observation, physiological indicator detection, and the application of emerging technologies such as infrared thermography and substance P detection. In terms of management strategies, the practical application and effectiveness of methods such as NSAIDs, local anesthesia, herbal medicine therapy, physical therapy, and multimodal analgesia are highlighted. The positive impacts of anti-inflammatory and analgesic measures on dairy cow production performance (milk yield, milk composition, reproductive performance, culling rate, etc.) are analyzed. Additionally, challenges in current promotion efforts—such as economic costs, cognitive gaps, and policy limitations—are discussed. The paper proposed that future efforts should strengthen pain education, optimize policy support, and promote standardized management to achieve synergistic improvements in dairy cow health, welfare, and economic benefits.

Research and Application of Chemical Rapid Qualitative Detection Method for Detecting Sucrose in Fermented Milk

China Dairy. 2025, (9): 123-128.

[Objective]To detect sucrose in fermented milk by chemical rapid qualitative detection method and develop a rapid screening method based on color reaction.[Method]By comparing with high performance liquid chromatography（HPLC）,the accuracy of this method above the detection limit（0.2 g/100 g） was verified（r=0.98,P<0.01）.[Result]Compared with HPLC,the detection time of the chemical rapid qualitative detection method was shortened from 5 hours to 10 minutes,the single detection cost was reduced by 80%,and the consistency of the detection results of zero-sucrose samples（n=50）with HPLC reached 96%.This method is simple to operate and can complete the detection in just 10 minutes,making it suitable for real-time monitoring on production lines,providing a high-efficiency and low-cost sucrose detection solution for dairy enterprises.It can be promoted and used as an effective method for zero-sucrose detection in fermented milk.[Conclusion] This method is simple and rapid to operate, suitable for real-time monitoring of production lines. It can provide dairy enterprises with an efficient and low-cost sucrose detection solution and can be promoted as an effective method for detecting zero-sucrose fermented milk.

Efficient Breeding Management Strategies for Heifers and their Impact on Farm Economic Benefits

FU Chang, LI Qiang, ZHOU Juanjuan, CAO Yunlong

China Dairy. 2025, (9): 44-51.

In modern dairy farm operations,heifers represent a core group alongside mature cows,accounting for approximately 30% of the total herd inventory and constituting the second-largest expense in farm rearing costs. The growth health status of heifers,the timing of breeding,and conception efficiency directly determine the economic benefits of farm input and output. From the perspective of overall farm production planning,the calving progress of heifers not only influences the average parity structure of the lactating herd but also plays a crucial role in ensuring the overall average milk yield of the herd. Industry practices indicate that the ideal age for heifers to first calve is 22~24 months. Achieving this goal requires heifers to possess excellent reproductive capabilities,and superior reproductive performance ultimately translates into higher milk production,thereby creating greater economic value for the farm.