ICP-MS Analysis of Trace Element Concentrations in Cow’s Milk Samples from Supermarkets in Istanbul, Turkey

2019 ◽  
Vol 193 (1) ◽  
pp. 166-173 ◽  
Author(s):  
Devrim Saribal
Keyword(s):  
Trace Element ◽  
Cow’S Milk ◽  
Cow's Milk ◽  
Milk Samples ◽  
Element Concentrations ◽  
Ms Analysis ◽  
Icp Ms

scholarly journals Determination of some minerals and heavy metal levels in Urfa cheese and cow's milk

2021 ◽  
Vol 7 (3) ◽  
pp. 185-193
Author(s):  
Serap Kılıç Altun ◽  
Mehmet Emin Aydemir
Keyword(s):  
Heavy Metal ◽  
Cow Milk ◽  
Cow’S Milk ◽  
Cow's Milk ◽  
Milk Samples ◽  
Icp Ms ◽  
Metal Contents ◽  
Metal Levels ◽  
Retail Outlets

This research was carried out to determine the levels of some minerals and heavy metals in Urfa cheeses and cow's milk offered for sale in Şanlıurfa. Mineral and heavy metal levels were determined by analysing 18 Urfa cheese and 21 cow milk samples collected from retail outlets with ICP-MS. Mean mineral and heavy metal contents in Urfa cheese samples were; magnesium (Mg) 129.8 ±31.14 mg/kg, calcium (Ca) 2712.66 ±1002.4 mg/kg, potassium (K) 272.06 ±127.21 mg/kg, titanium (Ti) 7.48 ±2.63 mg/kg, zinc (Zn) 40.4 ±16.33 mg/kg, selenium (Se) 10.6 ±3.51 mg/kg. In cow milk samples, average selenium (Se) 0.22 ±0.04 mg/kg, titanium (Ti) 0.07 ±0.009, mg/kg, copper (Cu) 0.0068 ±0.01 mg/kg and chromium (Cr) was detected at the level of 0.019 ±0.001 mg/kg. Arsenic (As), cadmium (Cd), lead (Pb) and thallium (Tl) levels were below the detectable levels in Urfa cheese and cow's milk samples. As a result, it was concluded that the samples do not pose a significant danger to public health in terms of heavy metal pollution and can contribute significantly to nutrition with the mineral substances it contains.

Human Breast Milk Contains Bovine lgG. Relationship to Infant Colic?

PEDIATRICS ◽  
1991 ◽  
Vol 87 (4) ◽  
pp. 439-444
Author(s):  
Patrick S. Clyne ◽  
Anthony Kulczycki
Keyword(s):  
Breast Milk ◽  
Human Milk ◽  
Milk Protein ◽  
Cow’S Milk ◽  
Human Breast Milk ◽  
Human Breast ◽  
Cow's Milk ◽  
Milk Samples ◽  
Infant Colic ◽  
Β Lactoglobulin

Previous studies have suggested that an unidentified cow's milk protein, other than β-lactoglobulin and casein, might play a pathogenetic role in infant colic. Therefore, a radioimmunoassay was used to analyze human breast milk and infant formula samples for the presence of bovine IgG. Milk samples from 88 of the 97 mothers tested contained greater than 0.1 µg/mL of bovine IgG. In a study group of 59 mothers with infants in the colic-prone 2- to 17-week age group, the 29 mothers of colicky infants had higher levels of bovine IgG in their breast milk (median 0.42 µg/mL) than the 30 mothers of noncolicky infants (median 0.32 µg/mL) (P < .02). The highest concentrations of bovine IgG observed in human milk were 8.5 and 8.2 µg/mL. Most cow's milk-based infant formulas contained 0.6 to 6.4 µg/mL of bovine IgG, a concentration comparable with levels found in many human milk samples. The results suggest that appreciable quantities of bovine IgG are commonly present in human milk, that significantly higher levels are present in milk from mothers of colicky infants, and that bovine IgG may possibly be involved in the pathogenesis of infant colic.

scholarly journals Occurrence of enterococci in mastitic cow’s milk and their antimicrobial resistance

2019 ◽  
Vol 63 (1) ◽  
pp. 93-97 ◽  
Author(s):  
Hanna Różańska ◽  
Aleksandra Lewtak-Piłat ◽  
Maria Kubajka ◽  
Marcin Weiner
Keyword(s):  
Antimicrobial Resistance ◽  
Enterococcus Faecalis ◽  
Antimicrobial Susceptibility ◽  
High Rate ◽  
Cow’S Milk ◽  
Cow's Milk ◽  
Milk Samples ◽  
Predominant Species ◽  
Peptone Water ◽  
Mastitic Milk

Abstract Introduction: The aim of the study was to evaluate the occurrence of enterococci in inflammatory secretions from mastitic bovine udders and to assess their antimicrobial resistance. Material and Methods: A total of 2,000 mastitic milk samples from cows were tested in 2014–2017. The isolation of enterococci was performed by precultivation in buffered peptone water, selective multiplication in a broth with sodium azide and cristal violet, and cultivation on Slanetz and Bartley agar. The identification of enterococci was carried out using Api rapid ID 32 strep kits. The antimicrobial susceptibility was evaluated using the MIC technique. Results: Enterococci were isolated from 426 samples (21.3%). Enterococcus faecalis was the predominant species (360 strains), followed by E. faecium (35 isolates), and small numbers of others. The highest level of resistance was observed to lincomycin, tetracycline, quinupristin/dalfopristin (Synercid), erythromycin, kanamycin, streptomycin, chloramphenicol, and tylosin. Single strains were resistant to vancomycin and ciprofloxacin. All isolates were sensitive to daptomycin. E. faecalis presented a higher level of resistance in comparison to E. faecium, except to nitrofurantoin. Conclusion: The results showed frequent occurrence of enterococci in mastitic cow’s milk and confirmed the high rate of their antimicrobial resistance.

Major, minor and trace element concentrations in spices and aromatic herbs from Sicily (Italy) and Mahdia (Tunisia) by ICP-MS and multivariate analysis

2020 ◽  
Vol 313 ◽  
pp. 126094 ◽  
Author(s):  
Angela Giorgia Potortì ◽  
Giuseppe Daniel Bua ◽  
Vincenzo Lo Turco ◽  
Asma Ben Tekaya ◽  
Asma Beltifa ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Trace Element ◽  
Element Concentrations ◽  
Icp Ms ◽  
Aromatic Herbs

Mapping differential elemental accumulation in fish tissues: assessment of metal and trace element concentrations in wels catfish (Silurus glanis) from the Danube River by ICP-MS

2014 ◽  
Vol 22 (5) ◽  
pp. 3820-3827 ◽  
Author(s):  
Katarina Jovičić ◽  
Dragica M. Nikolić ◽  
Željka Višnjić-Jeftić ◽  
Vesna Đikanović ◽  
Stefan Skorić ◽  
...  
Keyword(s):  
Trace Element ◽  
Danube River ◽  
Fish Tissues ◽  
Silurus Glanis ◽  
The Danube River ◽  
Element Concentrations ◽  
Icp Ms ◽  
Elemental Accumulation

scholarly journals Practical application of the progesterone P4 rapid test in cow’s milk for early pregnancy detection

2020 ◽  
Vol 52 (3) ◽  
Author(s):  
Blerta Mehmedi ◽  
Rreze M. Gecaj ◽  
Taulant Kastrati ◽  
Miklós Heltai ◽  
Luigj Turmalaj
Keyword(s):  
Early Detection ◽  
Artificial Insemination ◽  
Early Recognition ◽  
Correct Diagnosis ◽  
Rapid Test ◽  
Cow’S Milk ◽  
Practical Application ◽  
Cow's Milk ◽  
Milk Samples ◽  
Fertility Management

Pregnancy diagnosis is an essential part of fertility management in cattle. Early detection of pregnancy 21 days after artificial insemination (AI) allows for early recognition and rebreeding of non-pregnant animals with a minimum delay, which benefits the economic interest for farmers. Rapid progesterone P4 tests are widely used in fertility management strategies, yet there is limited data about the efficiency of tests for P4 measurements in cow’s milk. By measuring P4 concentrations in the milk of different breeds: Red Holstein, Black-Holstein, Simmental, and local crossbreeds, this study aimed to assess the practical application and efficiency of an early and rapid pregnancy detection test from cow’s milk. The study was conducted in 2017–2018 and milk samples were taken from animals at day 21 after artificial insemination (AI) to diagnose pregnancy. The test indicated that of the total cows (n=400) included in this study, 69% were pregnant and 31% were not pregnant, as interpreted based on the P4 Rapid (Ridgeway Science UK) test results. Accuracy of the early diagnosis was verified 60 days after AI (without further AI of cows) by rectal palpation. Based on this examination, 263 (66%) cows were diagnosed as pregnant, while 14 (34%) were diagnosed as non-pregnant. The highest accuracy in pregnancy detection was found in the local crossbreeds and the Simmental breed, with 97% correct diagnosis of cows, followed by Red Holstein with 94% and Black Holstein with an accuracy of 90%. This study showed that the use of progesterone P4 rapid tests in milk samples is an effective, fast and accurate method for the early detection of pregnancy in cows, with an accuracy rate of 90 to 97% based on cattle breed.

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