Thermal processing of buffalo milk – A review

Mejares, Carolyn T.; Huppertz, Thom; Chandrapala, Jayani

doi:10.1016/j.idairyj.2021.105311

Cited by 18 publications

(24 citation statements)

References 119 publications

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“…Proteins present in buffalo milk are the same as in cow milk, but their individual concentrations differ. For example, the concentrations of β‐lactoglobulin, lactoferrin and immunoglobulins in buffalo cheese whey are higher than in cow cheese whey (Garau et al ., 2021; Mejares et al ., 2022). In addition, buffalo cheese whey proteins have a high concentration of branched‐chain amino acids (BCAA), which become bioaccessible through hydrolysis processes (Bassan et al ., 2015; Camargo et al ., 2018).…”

Section: Introductionmentioning

confidence: 99%

Encapsulation of protein hydrolysates by spray drying: feasibility of using buffalo whey proteins

Giroldi

Grambusch

Schlabitz

et al. 2022

Int J of Food Sci Tech

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This work aimed to produce and encapsulate protein hydrolysates of buffalo origin using spray drying with gum arabic and maltodextrin as encapsulating agents. The following core ratios were applied: encapsulating agent in the ratios of 1:10 and 1:15, with 50% gum arabic and 50% maltodextrin (50:50), and 70% gum arabic and 30% maltodextrin (70:30). The encapsulated particles were between 2.0 and 20.0 lm. The encapsulation efficiency of the samples was above 95% at the initial time. After 45 days of storage, encapsulation efficiency decreased to values below 60%. The 70:30 samples showed a significant decrease (P < 0.05) in hygroscopicity, moisture and water activity compared with free hydrolysates. The encapsulation process increased the values of oil retention, emulsifying activity and solubility of whey protein hydrolysates for all proportions evaluated, both at the initial time and after 45 days of storage. The branched-chain amino acid concentration was higher in samples encapsulated at the 1:10 ratio. The spray drying encapsulation of buffalo protein hydrolysates with suitable encapsulating agents improves the techno-functional characteristics of these hydrolysates, hence expanding their use in different food matrices and enabling the use of buffalo cheese whey.

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Section: Introductionmentioning

confidence: 99%

Encapsulation of protein hydrolysates by spray drying: feasibility of using buffalo whey proteins

Giroldi

Grambusch

Schlabitz

et al. 2022

Int J of Food Sci Tech

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“…The results of Table (2) showed the effect of adding calcium propionate to ration on milk components of buffaloes for the first month. There were significant differences (P ≤ 0.05) in treatments T3 and T2 excelled with the highest percentage of fat, at a rate of 6.49 ± 0.50%, and 6.04 ± 0.21%, respectively, over the control treatment T1 which had a fat percentage of 4.36 ± 0.31%, this explains that adding calcium propionate at a ratio of 100 and 150 to buffalo diets improved the milk components (fat percentage) It is one of the important productive qualities of buffalo milk.…”

Section: Milk Componentsmentioning

confidence: 99%

“…During the development of human civilization, milk and its products played a major role in granting many nutritional benefits due to its essential nutrients such as protein, fat, lactose, vitamins and minerals [1]. The Economic cooperation organization and the food and agriculture organization (F.A.O) indicated that global milk production is dominated by cow's milk by 81%, in addition to livestock, as many types of livestock such as buffaloes, goats and camels provide milk that can be converted into a number of milk products, as buffalo milk has a significant contribution Large global, as it represents 15% of global milk production [2]. Milk cattle in the early milking period go through a period of negative energy balance due to insufficient nutritional intake to meet the production IOP Publishing doi:10.1088/1755-1315/1262/7/072058 2 requirements of nutrients for milk production [3].…”

Section: Introductionmentioning

confidence: 99%

Effect of Adding Calcium Propionate on Productive Performance of Iraqi Buffaloes

Karim,

Al-Waith,

Al-Jubori

2023

IOP Conf. Ser.: Earth Environ. Sci.

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This study was conducted at the ruminant research station in Abu Ghraib / livestock research department / agricultural research department / ministry of agriculture. The experiment period from 5/10/2022 to 1/4/2023, and for the production season 2022-2023. In order to study the effect of calcium propionate for different periods to study the difference of these periods in some of the productive characteristics of the Iraqi buffaloes, 15 females of Iraqi milking buffaloes were used, divided into three treatments for each treatment 5 buffaloes aged from 6-7 years, as the first treatment was T1 treatment Control without adding of calcium propionate, the second treatment T2 added 100 g calcium propionate/buffalo, and the third treatment T3 added 150 g calcium propionate/buffalo and for the periods 7 hours before calving, 24 hours after calving and 7 days after calving, calcium propionate was added to the concentrated diet. The results of the study indicate that there is a significant difference (P≤0.05) for milk production within the seventh reading in treatments T2 and T3 g compared with control T1, and a significant difference (P≤0.05) was observed in T2 for milk production within the eighth reading compared with T3 and control T1, and there were significant differences (P≤0.05) for T2 in 1st, 2nd and 3rd months for the percentage of fat compared with treatment T3 and control T1, and the results indicated a significant differences (P≤ 0.05) for treatment T3 in 1st and 3rd months for the percentage of fat compared with T2 and control T1. We conclude that the addition of calcium propionate at a ratio of 100 and 150 gm to buffalo diets during different periods improved the milk production and fat percentage of local female buffaloes.

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“…Compared to cow’s milk, buffalo milk is rich in fat, lactose, protein (especially casein), and minerals (such as magnesium, calcium, and inorganic phosphate) [ 2 ]. In addition, buffalo milk production has a significant impact on global milk production [ 3 ]. The buffalo industry plays a vital role in economic development, rural livelihood, and poverty alleviation, and it can also meet the population’s rapidly growing demand for animal protein to some degree [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

A New Method to Detect Buffalo Mastitis Using Udder Ultrasonography Based on Deep Learning Network

Zhang,

Li,

Zhang

et al. 2024

Animals

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Mastitis is one of the most predominant diseases with a negative impact on ranch products worldwide. It reduces milk production, damages milk quality, increases treatment costs, and even leads to the premature elimination of animals. In addition, failure to take effective measures in time will lead to widespread disease. The key to reducing the losses caused by mastitis lies in the early detection of the disease. The application of deep learning with powerful feature extraction capability in the medical field is receiving increasing attention. The main purpose of this study was to establish a deep learning network for buffalo quarter-level mastitis detection based on 3054 ultrasound images of udders from 271 buffaloes. Two data sets were generated with thresholds of somatic cell count (SCC) set as 2 × 105 cells/mL and 4 × 105 cells/mL, respectively. The udders with SCCs less than the threshold value were defined as healthy udders, and otherwise as mastitis-stricken udders. A total of 3054 udder ultrasound images were randomly divided into a training set (70%), a validation set (15%), and a test set (15%). We used the EfficientNet_b3 model with powerful learning capabilities in combination with the convolutional block attention module (CBAM) to train the mastitis detection model. To solve the problem of sample category imbalance, the PolyLoss module was used as the loss function. The training set and validation set were used to develop the mastitis detection model, and the test set was used to evaluate the network’s performance. The results showed that, when the SCC threshold was 2 × 105 cells/mL, our established network exhibited an accuracy of 70.02%, a specificity of 77.93%, a sensitivity of 63.11%, and an area under the receiver operating characteristics curve (AUC) of 0.77 on the test set. The classification effect of the model was better when the SCC threshold was 4 × 105 cells/mL than when the SCC threshold was 2 × 105 cells/mL. Therefore, when SCC ≥ 4 × 105 cells/mL was defined as mastitis, our established deep neural network was determined as the most suitable model for farm on-site mastitis detection, and this network model exhibited an accuracy of 75.93%, a specificity of 80.23%, a sensitivity of 70.35%, and AUC 0.83 on the test set. This study established a 1/4 level mastitis detection model which provides a theoretical basis for mastitis detection in buffaloes mostly raised by small farmers lacking mastitis diagnostic conditions in developing countries.

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Thermal processing of buffalo milk – A review

Cited by 18 publications

References 119 publications

Encapsulation of protein hydrolysates by spray drying: feasibility of using buffalo whey proteins

Encapsulation of protein hydrolysates by spray drying: feasibility of using buffalo whey proteins

Effect of Adding Calcium Propionate on Productive Performance of Iraqi Buffaloes

A New Method to Detect Buffalo Mastitis Using Udder Ultrasonography Based on Deep Learning Network

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