Global reports on illnesses and deaths related to food consumption continue to raise concern in most countries. This has led to diligent efforts to improve the manner in which food is handled. Hygienic handling of carcasses after slaughter is critical in preventing contamination and ensuring meat safety in both formal and informal meat trading sectors. However, in the informal sector, regulations as prescribed in the Meat Safety Act No. 40 of 2000, which have been set to protect consumer health, are not always adhered to. Although these regulations are put into practice in the formal sector, meat safety challenges associated with meat handling during distribution continue to raise concern. The distribution stage is the most critical period, during which the quality of meat can easily be compromised. Furthermore, meat inspection at the abattoir covers only visual assessment, without considering microbiological tests. Meeting food safety requirements set by government regulations remains a challenge to almost all food processors. This paper reviews the impact of post-slaughter handling on carcass quality and its implications for meat safety during the distribution stage in the formal and informal sectors in South Africa. It also details how meat handling in the informal meat trade exposes consumers to high health risks and recommends that governments create legislation that would be applicable to carcasses produced in the informal sector to align this sector with the regulations governing food production. ______________________________________________________________________________________
Meat has been found to be a prime vehicle for the dissemination of foodborne pathogens to humans worldwide. Microbial meat contaminants can cause food-borne diseases in humans. The threat to consumers by microbial meat contaminants necessitates the studying of meat microbial loads to prevent potential illnesses in consumers. Studies investigating the meat microbial loads in South Africa are limited. The objective of this study was to compare microbial contamination of different meat types from low-throughput (LTA) and high-throughput abattoirs (HTA) at three stages of the distribution chain from abattoir to retail outlets. Beef, pork, and mutton (n = 216) carcasses were sampled: during the loading process at the abattoirs, when off-loading at the supply points and during marketing. All samples were subjected to total bacterial count (TBC), coliform count (CC), presumptive Escherichia coli (E. coli) (PEC) and Staphylococcus aureus (S. aureus) detection. In mutton, TBC dominated at loading, CC was similar across distribution chain stages, PEC was the predominant microbial contaminant at the offloading stage at the HTA, but TBC was affected at loading, CC was similar across distribution chain stages, PEC was affected at loading, and S. aureus was affected at the display stage at the LTAs. In beef, TBC had similar levels at loading; CC and PEC dominated at the display stage for the HTAs. However, TBC was affected at the display stage; CC was similar across stages; PEC was affected at the offloading stage at the LTAs. In pork, higher contamination levels were discovered at the display stage, CC dominated at the loading stage, with PEC detected at offloading at the HTAs but TBC, CC, PEC and S. aureus were similar across stages at the LTAs. TBC, CC and PEC were affected by the storage period and meat supplier to meat shop distance whereas distance affected the TBC, CC and PEC. Meat supplier to meat shop distance negatively correlated with meat distribution chain stage but positively correlated with TBC, CC and PEC such as temperature. Temperature positively correlated with meat distribution chain stage and shop class. Meat distribution chain stage was negatively correlated with storage period, TBC, CC and PEC but positively correlated with shop class. Shop class negatively correlated with storage period, TBC, CC and PEC. Storage period positively correlated with TB, CC and PEC. TBC and meat type positively correlated with CC and PEC. CC positively correlated with PEC but negatively correlated with S. aureus such as PEC. In conclusion, mutton, pork and beef meat are susceptible to microbial contamination at distribution chain stages in abattoirs.
The objective of this study was to investigate the effect of the distribution chain, distance between the abattoir and meat retailer, storage duration of meat at the meat retailer and meat retailer class on the physico-chemical quality of red meat. Beef (n = 150), pork (n = 150) and mutton (n = 150) samples were collected during the loading process of carcasses into refrigerated trucks, at the offloading point and during marketing to measure the effect of the distance between the abattoir and meat retailer, storage duration of meat at the meat retailer and meat retailer class (butcher, middle and high class) on the meat quality attributes. Meat quality attributes measured were; lightness (L*), redness (a*), yellowness (b*), pHu, cooking loss (CL%), Warner–Bratzler shear force (WBSF) and meat temperature (TM). The distribution stage had an effect (p < 0.05) on some of the meat quality attributes, specifically the a* values for all meat types during loading (18.5 ± 0.93), off-loading (15.8 ± 0.93) and display (20.2 ± 0.94) points. Abattoir to meat retailer distance had a significant effect on L*, a*, hue angle and chroma values (p < 0.05). Storage duration at the retailer point significantly affected L* and a* values of meat (p < 0.05). Meat retailer class affected WBSF and meat yellowness (p < 0.05). In conclusion, the distribution chain, distance between the abattoir and meat retailer, storage duration of meat at the meat retailer and meat retailer class all affect the physico-chemical quality of red meat.
The objective of the study was to determine the quality and fatty acid profiles of mutton cuts purchased from rural and urban localities in South Africa. Five hundred and ten samples were collected in four seasons from both rural and urban shops and butcheries. Samples were immediately transported to the laboratory in cooler boxes with ice where the following physico-chemical characteristics of mutton were determined; meat pH, color (L*, a*, and b*), cooking losses and Warner Braztler shear force and replicates stored at −20°C pending fatty acid analysis. Meat L* values were lowest (24.7±0.49) in winter and highest (32.2±0.49) in spring. The loin and sirloin cuts recorded the highest intramuscular fat whilst rib and leg cuts recorded the lowest intramuscular fat. In conclusion intramuscular fat, fatty acid profiles and physico-chemical quality of mutton were significantly affected by season and meat portion and not necessarily by the locality and class of shop.
The objective of the study is to establish the effect of parity on milk composition and fatty acid profiles of Nguni cattle milk. Forty-four Nguni cows with parities ranging from 1 to 13 were included in this study. The cows were grouped to three parity groups: parity group 1 (parity 1 to 5), parity group 2 (parity 6 to 9) and parity group 3 (parity 10 to 13). Samples of the milk were collected in a single day and the milk was analyzed using gas chromatography. Parity had no effect of proximate composition (fat, DMC and moisture %) on milk. The fatty acids (FA) present in the milk of the three parity groups were primarily palmitic (33.3 to 40.5%), oleic (16.3 to 20.3%), myristic (12.5 to 13.2%) and stearic (10.8 to 11.7%) acids, in decreasing order of proportion. Milk from parity group 3 cows contained significantly (p < 0.05) higher proportions of butyric, myristoleic, oleic, eicosenoic, conjugated linoleic acid (CLA), arachidonic and eicosopentaenoic acids when compared with the other two parity groups. Parity group 3 also had significantly (p < 0.05) higher values for total SFA, MUFA, PUFA, omega 3 fatty acids and n-6/n-3 ratio than the other two parity groups. Cows in higher parities generally have higher values for individual fatty acids when compared to those in lower parities. Parity is therefore, an important factor that must be considered when assessing milk quality in Nguni cows.
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