AUTHOR=Kiambi Stella , Fèvre Eric M. , Alarcon Pablo , Gitahi Nduhiu , Masinde Johnstone , Kang'ethe Erastus , Aboge Gabriel , Rushton Jonathan , Onono Joshua Orungo 

TITLE=Assessment of Milk Quality and Food Safety Challenges in the Complex Nairobi Dairy Value Chain

JOURNAL=Frontiers in Veterinary Science

VOLUME=Volume 9 - 2022

YEAR=2022

URL=https://www.frontiersin.org/journals/veterinary-science/articles/10.3389/fvets.2022.892739

DOI=10.3389/fvets.2022.892739

ISSN=2297-1769

ABSTRACT=Food networks present varying food safety concerns due to complexity of interactions, production and handling practices. We investigated total bacteria counts (TBC) and total coliform counts (TCC) in various nodes of Nairobi dairy value chain and identified practices that influence food safety. A value chain analysis framework facilitated qualitative data collection through 23 key informant interviews and 20 focus group discussions. Content thematic analysis identified food safety challenges. Cow milk products (N=290) were collected from farms (N=63), collection centres (N=5), shops/kiosks (N=37), milk bars (N=17), roadside vendors (N=14), restaurants (N=3), milk vending machines (N=2), mobile traders (N=2) and supermarket (N=1). Mean values of colony forming units for TBC and TCC were referenced to East African Standards (EAS). Logistic regression analysis assessed differences in milk acceptability based on EAS. Raw milk at farm and collection centres was relatively within acceptable EAS limits for TBC (3.5x105 and 1.4x106) respectively but TCC at farm was 3-times higher than EAS limits (1.5x105). Compared to farms, the odds of milk acceptability based on TBC was lower on milk bars (0.02), restaurants (0.02), roadside vendors (0.03), shops/kiosks (0.07) and supermarkets (0.17). For TCC, the odds that milk samples from collection centres, milk bars, restaurants, roadside vendors, and shops/kiosks were acceptable was less than the odds of samples collected at the farm (0.18, 0.03, 0.06, 0.02, 0.12) respectively. Comparison of raw milk across the nodes showed that the odds of milk samples from restaurants, roadside vendors and shops/kiosks being acceptable was less than the odds of samples collected at the farm for TBC (0.03, 0.04 and 0.04) respectively. For TCC, the odds of raw milk from collection centres, restaurants, roadside vendors, milk bars and shops/kiosks being acceptable was lower than the odds of acceptability for farm samples (0.18, 0.12, 0.02, 0.04, and 0.05) respectively. Practices and with possible influence on milk bacterial quality included muddy cowsheds, unconventional animal feed sources, re-use of spoilt raw milk, milk adulteration, acceptance of low-quality milk for processing and lack of cold chain. Therefore, milk contamination occurs at various points and designing of interventions should focus on every node.