Dairy value chains link the actors and the activities involved in delivering milk and milk products from production to the final consumer. In every activity, the product increases in value from production, transportation, processing, packaging and storage. The study was designed to evaluate some hygienic practices along the value chain and develop the quality control system (CCPs) in the smallholder supply chain in Nakuru and Nyandarua County, Kenya. To assess the level using critical control points of compliance to hygienic code of practice, the questionnaires were developed and pre-tested before being administered to the selected individuals in the study. Descriptive statistics was used to depict the implementation of the code of hygienic practices in milk handling by the farmers, transporters, collection and bulking enterprises (CBEs) and the processor. Among the various aspects investigated at farm level in this study was, hand washing before milking, use of reusable udder cloth while milking, use of plastic containers in milk delivery, time taken to deliver milk, cleaning of the cow shed and awareness of the antibiotic resides in milk and its effect. The results indicated poor conformance to the hygienic code of practice along the dairy value chain in the smallholder supply system. The various factors that could contribute to raw milk quality deterioration were identified as, the critical control points (CCPs) using the hazard analysis critical control points (HACCP) principles. Seven factors were identified at five critical points along the milk collection chains. The critical control points identified includes milking at the farm level, bulking milk in a fifty liters can at collection points, transportation, at the CBE platform and the cooling tank. The quality of raw cow's milk produced and marketed from the study areas was low.
Kenya has one of the largest dairy industries in sub-Saharan Africa. Most of the milk marketed by smallscale farmers in Kenya has been reported to be of poor quality and does not meet national and international standards due to high bacterial load, high somatic cell count, adulteration and antibiotic residues. This study was designed to assess status of microbiological and physico-chemical quality of raw milk from two smallholder dairy farmer' groups at four sampling levels. Three hundred and eight raw milk samples were collected and analyzed along the value chain. Microbiological analysis for total bacterial count and coliform count was carried out using 3M TM Petrifilms plates. The average total bacterial and coliform counts Log 10 per ml at the processing factory was 8.462 and 6.770 for Ngorika and Olenguruone, respectively. The antibiotic residues especially βlactam was prevalent with 44.5% of all the analyzed samples being positive. Likewise, 60% of the samples had a range of 150,000 to 500,000 somatic cells/ml. Average water adulteration level for the two collecting and bulking enterprises was 30.3%. TVBC and CC should be used instead of resazurin while freezing point determination should be used for adulteration.
The mastitis causing microorganisms resist beta-lactam antibiotics by releasing beta-lactamase and the enzyme can be traced in raw milk. This study was aimed at developing a novel platform test to detect beta-lactam antibiotics residues in raw milk based on the Hardy Diagnostic Beta-lactamase Test (HDBT) reagent. The HDBT ingredients modified were penicillin, sodium chloride, trisodium citric acid, trisodium phosphate and phenol red dissolved in distilled water. Pooled raw milk samples were obtained from 3 Friesians and 3 Ayrshires lactating cows identified to have subclinical mastitis and treated using beta-lactam antibiotics. The appropriate mixing ratios were investigated at nine levels. Investigation on the effect of breeds on the test method results was also carried out. Evaluations to determine the colour differences between beta-lactam positive and negative raw milk samples for all the experiments were carried out using trained panelists. The results indicate that gradual addition of trisodium phosphate and phenol red in the reagent showed significant difference (P ≤ 0.05) between a beta-lactam positive and negative raw milk sample. Ratio 5:5 was selected as the best and had significant difference (P ≤ 0.05) from the others. Conversely, the test method indicated no significant difference (P ≤ 0.05) between the Friesians and Ayrshires raw milk samples. This method can be used along the raw milk collection routes to accept, set aside or reject raw milk suspected to have residues. The colour observed for a beta-lactam negative sample was fuchsia purple while peach or pink signified a positive sample.
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