Investigation of the pyhsical and chemical properties of milk containing antibiotics için kapak resmi
Investigation of the pyhsical and chemical properties of milk containing antibiotics
Başlık:
Investigation of the pyhsical and chemical properties of milk containing antibiotics
Yazar:
Yıldız, Özge.
Yazar Ek Girişi:
Yayın Bilgileri:
[s.l.]: [s.n.], 2008.
Fiziksel Tanımlama:
xiv, 122 leaves.: ill. + 1 computer laser optical disc.
Özet:
This work aimed to find a basic and rapid screening method for antibiotic residues in UHT whole cow.s milk. For this purpose an investigation was conducted to screen some physical (e.g. acidity, pH, density, freezing point and electrical conductivity), thermo-physical (e.g. melting temperature, heat of fusion, evaporation temperature and heat of evaporation) and chemical properties (e.g. fat%, protein%, lactose%, minerals%, SNF%) of antibiotic free milk and milk fortified by Penicillin G, Ampicillin, Tetracycline. We can able determine whether residue of antibiotics making any difference on these selected properties. Thermo-physical properties were measured by differential scanning calorimeter (DSC), (TA Instruments, USA) and chemical properties were determined by using Lactostar (Funke Gerber Inc., Berlin, Germany).Antibiotic residues were detected by Copan Milk Test, Penzyme Test and ROSA Test and by high performance liquid chromatography (HPLC) method for confirmation of screening tests. Due to some drawbacks of screening tests, liquid chromatography was required for confirmation of antibiotic residues in milk. HPLC method showed that average recoveries of spiked Penicillin G at 2, 4, 8 ppb, spiked Ampicillin at 2, 4, 8 ppb and spiked Tetracycline at 100, 250, 500 ppb were ranged from 44.67% to 66.00%, from 62.50% to 87.52% and from 92.86% to 94.35%, respectively.We found that the acidity, pH and density of milk were independent of Penicillin G, Ampicillin and Tetracycline concentrations. Electrical conductivity (EC) were evaluated by applying ANOVA with Fisher.s test and Probabilistic neural network (PNN) method. ANOVA was also performed for DSC and Lactostar measurement results. This evaluation suggested that EC measurement can be a great promising technique for detection of antibiotic residues in milk, DSC is a good characterization tool for understanding of thermal events and the presence of antibiotic residues in milk influencing freezing point and minerals (EMC)%.
Yazar Ek Girişi:
Tek Biçim Eser Adı:
Thesis (Master)--İzmir Institute of Technology: Food Engineering.

İzmir Institute of Technology: Food Engineering--Thesis (Master).
Elektronik Erişim:
Access to Electronic Version.
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