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      Identification of cow and buffalo milk based on Beta carotene and vitamin- A concentration using fluorescence spectroscopy

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          Abstract

          The current study presents the application of fluorescence spectroscopy for the identification of cow and buffalo milk based on β-carotene and vitamin-A which is of prime importance from the nutritional point of view. All samples were collected from healthy animals of different breeds at the time of lactation in the vicinity of Islamabad, Pakistan. Cow and buffalo milk shows differences at fluorescence emission appeared at band position 382 nm, 440 nm, 505 nm and 525 nm both in classical geometry (right angle) setup as well as front face fluorescence setup. In front face fluorescence geometry, synchronous fluorescence emission shows clear differences at 410 nm and 440 nm between the milk samples of both these species. These fluorescence emissions correspond to fats, vitamin-A and β-carotene. Principal Component Analysis (PCA) further highlighted these differences by showing clear separation between the two data sets on the basis of features obtained from their fluorescence emission spectra. These results indicate that classical geometry (fixed excitation wavelength) as well as front face (synchronous fluorescence emission) of cow and buffalo milk nutrients could be used as fingerprint from identification point of view. This same approach can effectively be used for the determination of adulterants in the milk and other dairy products.

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          Most cited references36

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          Milk fat in human nutrition

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            Composition of Swedish dairy milk

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              Protein, amino acids, vagus nerve signaling, and the brain.

              Dietary protein and amino acids, including glutamate, generate signals involved in the control of gastric and intestinal motility, pancreatic secretion, and food intake. They include postprandial meal-induced visceral and metabolic signals and associated nutrients (eg, amino acids and glucose), gut neuropeptides, and hormonal signals. Protein reduces gastric motility and stimulates pancreatic secretions. Protein and amino acids are also more potent than carbohydrate and fat in inducing short-term satiety in animals and humans. High-protein diets lead to activation of the noradrenergic-adrenergic neuronal pathway in the brainstem nucleus of the solitary tract and in melanocortin neurons of the hypothalamic arcuate nucleus. Moreover, some evidence indicates that circulating concentrations of certain amino acids could influence food intake. Leucine modulates the activity of energy and nutrient sensor pathways controlled by AMP-activated protein kinase and mammalian target of rapamycin in the hypothalamus. At the brain level, 2 afferent pathways are involved in protein and amino acid monitoring: the indirect neural (mainly vagus-mediated) and the direct humoral pathways. The neural pathways transfer preabsorptive and visceral information through the vagus nerve that innervates part of the orosensory zone (stomach, duodenum, and liver). Localized in the brainstem, the nucleus of the solitary tract is the main projection site of the vagus nerve and integrates sensory information of oropharyngeal, intestinal, and visceral origins. Ingestion of protein also activates satiety pathways in the arcuate nucleus, which is characterized by an up-regulation of the melanocortin pathway (alpha-melanocyte-stimulating, hormone-containing neurons) and a down-regulation of the neuropeptide Y pathway.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                18 May 2017
                2017
                : 12
                : 5
                : e0178055
                Affiliations
                [001]Agri. & Biophotonics Division, National Institute of Lasers and Optronics (NILOP), Nilore, Islamabad, Pakistan
                Islamic Azad University Mashhad Branch, ISLAMIC REPUBLIC OF IRAN
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                • Conceptualization: RU SK.

                • Data curation: RU.

                • Formal analysis: RU SK.

                • Investigation: RU HA.

                • Methodology: SK MB.

                • Project administration: MS SK.

                • Supervision: MS SK.

                • Validation: RU HA.

                • Visualization: RU SK.

                • Writing – original draft: RU SK HA.

                • Writing – review & editing: MS.

                ‡ These authors also contributed equally to this work.

                Author information
                http://orcid.org/0000-0002-9836-6056
                Article
                PONE-D-17-12240
                10.1371/journal.pone.0178055
                5436857
                28542353
                d058da50-f5c4-4117-b192-1f5bdb9adf5d
                © 2017 Ullah et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 31 March 2017
                : 8 May 2017
                Page count
                Figures: 5, Tables: 0, Pages: 10
                Funding
                The authors received no specific funding for this work.
                Categories
                Research Article
                Physical Sciences
                Physics
                Electromagnetic Radiation
                Luminescence
                Fluorescence
                Physical Sciences
                Materials Science
                Material Properties
                Emission Spectra
                Research and Analysis Methods
                Mathematical and Statistical Techniques
                Statistical Methods
                Multivariate Analysis
                Principal Component Analysis
                Physical Sciences
                Mathematics
                Statistics (Mathematics)
                Statistical Methods
                Multivariate Analysis
                Principal Component Analysis
                Research and Analysis Methods
                Spectrum Analysis Techniques
                Fluorescence Spectroscopy
                Biology and Life Sciences
                Biochemistry
                Lipids
                Fats
                Engineering and Technology
                Equipment
                Optical Equipment
                Monochromators
                Physical Sciences
                Materials Science
                Materials by Attribute
                Pigments
                Organic Pigments
                Carotenoids
                Physical sciences
                Chemistry
                Chemical compounds
                Organic compounds
                Vitamins
                Vitamin A
                Physical sciences
                Chemistry
                Organic chemistry
                Organic compounds
                Vitamins
                Vitamin A
                Custom metadata
                All relevant data are within the paper.

                Uncategorized
                Uncategorized

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