Results of stereospecific analysis of triacylglycerol fraction from donkey, cow, ewe, goat and buffalo milk

2008 ◽  
Vol 21 (1) ◽  
pp. 1-7 ◽  
Author(s):  
F. Blasi ◽  
D. Montesano ◽  
M. De Angelis ◽  
A. Maurizi ◽  
F. Ventura ◽  
...  
Keyword(s):  
Stereospecific Analysis ◽  
Buffalo Milk ◽  
Triacylglycerol Fraction

scholarly journals Characterization of the Triacylglycerol Fraction of Italian and Extra-European Hemp Seed Oil

Foods ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 916
Author(s):  
Carmela Tringaniello ◽  
Lina Cossignani ◽  
Francesca Blasi
Keyword(s):  
Seed Oil ◽  
Principal Component ◽  
Stereospecific Analysis ◽  
Hemp Seed ◽  
Fa Composition ◽  
Chemical Descriptors ◽  
Triacylglycerol Fraction

Hemp seed oil (HSO) has received considerable attention for its health properties, especially due to unsaturated fatty acid (UFA) content. In this work, the triacylglycerol (TAG) fraction of Italian and Extra-European HSO was characterized by applying an enzymatic approach, based on the use of pancreatic lipase and sn-1,2-diacylglycerol kinase. This procedure allows determination of the intrapositional FA% composition of TAG. The results of the stereospecific analysis are useful for deepening knowledge on HSO nutritional aspects. The high percentage of UFA (88.3–89.9%), in particular essential FA (74.4–85.9%), of HSO samples in sn-2 position is important for long-term health effects, but also to enhance the use of this oil as a functional ingredient in food, cosmetic and nutraceutical fields. Furthermore, the results of total and intrapositional FA % compositions, subjected to principal component analysis, were able to differentiate HSO Italian samples from Extra-European ones. Based on the obtained results, it can be stated that the stereospecific analysis represents a potent analytical tool providing the fingerprint of TAG fraction, useful to highlight possible chemical descriptors for HSO authenticity and traceability purposes.

Economics of Buffalo Milk Production – A Case Study in Rural Tamil Nadu

2012 ◽  
Vol 2 (2) ◽  
pp. 408-409
Author(s):  
Dr. A. Serma Saravana Pandian ◽  
◽  
Dr. K. N. Selvakumar Dr. K. N. Selvakumar ◽  
Dr. M. Prabu Dr. M. Prabu
Keyword(s):  
Milk Production ◽  
Tamil Nadu ◽  
Buffalo Milk

Assessment of the Sensory Acceptability of Soy Milk Based Sandesh (Traditional Indian Sweet Dairy Dessert) For Elderly People (Aged > 60 Years) Living in Kolkata and its Efficacy on the Health Status of Geriatric Population

2020 ◽  
pp. 31-38
Author(s):  
Sweata Rani Rai ◽  
Sabia Nazmin
Keyword(s):  
Older Adults ◽  
Cerebrovascular Diseases ◽  
Buffalo Milk ◽  
Cow Milk ◽  
Eating Patterns ◽  
Soy Milk ◽  
Geriatric Population ◽  
Dietary Preference ◽  
Chemical Evaluation ◽  
Nutritional Needs

Background: Aging is often associated with the incidence of degenerative diseases such as cardiovascular, cerebrovascular diseases, diabetes, osteoporosis, and cancer, which affects dietary eating patterns in older adults. With advancing age, there is a decline in appetite and a reduced affinity to food. However, the eighty million citizens of West Bengal including the older adults have a craving for sweets. Therefore, the present study aims to evaluate the sensory and chemical evaluation of Sandesh prepared from soymilk and dates adhering to nutritional needs and dietary preference towards sweets for older adults. Method: Sandesh is prepared with the substitution of traditional milk chenna (fresh, unripened curd cheese made from cow milk/ buffalo milk)with soy milk and dates syrup.

Somatic cell count in buffalo milk using fuzzy clustering and image processing techniques

2021 ◽  
Vol 88 (1) ◽  
pp. 69-72
Author(s):  
Aline Silva Ramos ◽  
Cristiano Hora Fontes ◽  
Adonias Magdiel Ferreira ◽  
Camila Costa Baccili ◽  
Karen Nascimento da Silva ◽  
...  
Keyword(s):  
Image Processing ◽  
Somatic Cell ◽  
Cell Count ◽  
Fuzzy Clustering ◽  
Somatic Cell Count ◽  
Visual Observation ◽  
Buffalo Milk ◽  
Image Processing Techniques ◽  
Fuzzy Clustering Method ◽  
Processing Techniques

AbstractThis research communication presents an automatic method for the counting of somatic cells in buffalo milk, which includes the application of a fuzzy clustering method and image processing techniques (somatic cell count with fuzzy clustering and image processing|, SCCFCI). Somatic cell count (SCC) in milk is the main biomarker for assessing milk quality and it is traditionally performed by exhaustive methods consisting of the visual observation of cells in milk smears through a microscope, which generates uncertainties associated with human interpretation. Unlike other similar works, the proposed method applies the Fuzzy C-Means (FCM) method as a preprocessing step in order to separate the images (objects) of the cells into clusters according to the color intensity. This contributes signficantly to the performance of the subsequent processing steps (thresholding, segmentation and recognition/identification). Two methods of thresholding were evaluated and the Watershed Transform was used for the identification and separation of nearby cells. A detailed statistical analysis of the results showed that the SCCFCI method is able to provide results which are consistent with those obtained by conventional counting. This method therefore represents a viable alternative for quality control in buffalo milk production.

scholarly journals Droplet Digital PCR (ddPCR) Analysis for the Detection and Quantification of Cow DNA in Buffalo Mozzarella Cheese

Animals ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 1270
Author(s):  
Anna Cutarelli ◽  
Andrea Fulgione ◽  
Pasquale Fraulo ◽  
Francesco Paolo Serpe ◽  
Pasquale Gallo ◽  
...  
Keyword(s):  
Digital Pcr ◽  
Buffalo Milk ◽  
Cow Milk ◽  
Mozzarella Cheese ◽  
Chain Reaction ◽  
New Methods ◽  
Protected Designation Of Origin ◽  
Commission Regulation ◽  
Polymerase Chain ◽  
Digital Polymerase Chain Reaction

Buffalo mozzarella cheese is one of the most appreciated traditional Italian products and it is certified as a Protected Designation of Origin (PDO) product under the European Commission Regulation No. 1151/2012. It is obtained exclusively from buffalo milk. If made from cow milk, or a mixture of buffalo and cow milk, buffalo mozzarella cheese does not qualify as a PDO product. In order to maximize their profits, some producers market buffalo mozzarella that also contains cow milk as a PDO product, thus defrauding consumers. New methods for revealing this fraud are therefore needed. One such method is the droplet digital Polymerase Chain Reaction (ddPCR). Thanks to its high precision and sensitivity, the ddPCR could prove an efficacious means for detecting the presence of cow milk in buffalo mozzarella cheese that is marketed as a PDO product. ddPCR has proved able to detect the DNA of cow and/or buffalo milk in 33 buffalo mozzarella cheeses labelled as PDO products, and experimental evidence could support its application in routine analyses.

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