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Application of Hazard Analysis Critical Control Point (HACCP) principles to beef mortadella production

A mortadella is a cooked sausage made from raw pork, beef, chicken or lamb. It is popular in Jordan and neighboring countries for its taste, texture, nutritional value and ease of inclusion in sandwiches. The product is sold in plastic packaging, in circular rolls or vacuum packed. Although it poses no serious threat to human health, the heat can be dangerous if used improperly. A HACCP system is used to manage the production process, with a focus on quality control (CCP) throughout the manufacturing phase. Safety risks are identified at all stages of production, from raw materials to storage and distribution. Foodborne illnesses are primarily caused by pathogenic microorganisms, and these raw materials include pathogenic plant cells, Bacillus cereus, Clostridium botulinum and Clostridium perfringens that survive after cooking and contamination detected after monitoring. Post-manufacturing controls are performed through Good Manufacturing Practices (GMPs). The objectives of the study were to identify potential hazards associated with the production of beef mortadella, determine the CCPs to be implemented, develop a monitoring plan and establish corrective action on a case-by-case basis. The HACCP plan was developed in collaboration with local stakeholders and follows a process flow diagram to identify potential hazards and preventive measures. The system includes the steps for obtaining and storing the ingredients, preparing the meat, adding non-meat ingredients, and transferring the raw mixture to an incubator. The meat is weighed and filled with the mixture to improve cleanliness and avoid excess nitrite. The storage time between incubation and cooking is controlled to allow bacteria to multiply. To kill plant pathogens and reduce the total number of microorganisms, the product is cooked in a steam oven at 75°C for 5 minutes. The aim of the cooking process is to reduce microbial growth before lethal temperatures have been reached and uniform heating of the product has been ensured. Cooking suitability is checked by thermographic records and visual inspection of the cooked product. The plan also includes personnel in charge of every stage of production, ensuring a clean and hygienic environment. Key words: HACCP, Mortadella, meat processing, hygiene control, food safety

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Changes in the physical, chemical and sensory properties of pasta made by partially substituting wheat flour with black glutinous rice flour

Black glutinous rice flour (BGRF) had the potential to be used as a wheat substitute to increase the health-promoting nutritional value of pasta products. The purpose of this study was to investigate the possibility of using BGRF as an alternative to wheat flour in the production of pasta to improve its nutritional value. The research explored the physical, chemical, sensory properties, and consumer acceptance of pasta formulations with 0%, 20%, 40%, and 60% BGRF substitution. The findings revealed that pigmentation of BGRF contributed to increased phenolic compounds and antioxidant properties, which impacted physical and chemical properties of the pasta. The results indicated that a 40% substitution of BGRF was well-liked by consumers, while a 60% substitution led to decreased acceptance. The physical properties of uncooked pasta (UC-PAS) and cooked pasta (CK-PAS), such as moisture content and color values, were significantly influenced by the percentage of BGRF substitution. Specifically, the moisture content of UC-PAS decreased with higher BGRF substitution, resulting in changes in color values. These changes included an increase in redness, as well as a decrease in lightness and yellowness. Additionally, the pigmentation of BGRF contributed to increased phenolic compounds and antioxidant properties, which affected physical and chemical properties of the pasta. The pasta’s cooking quality, including cooking time (CKT), cooking loss (CKL), and cooking yield (CKY), also showed significant differences with varying percentages of BGRF substitution. Furthermore, the proximate composition indicated that the percentages of ash, protein, fat, and fiber increased as the proportion of BGRF increased, with pasta containing 60% BGRF demonstrating the highest values for these properties. All these findings provide evidence that BGRF substitution had a significant positive impact on the physical, chemical, and sensory properties of pasta. For example, the pasta had better antioxidant properties and was well-accepted by consumers. The potential for enhancing the nutritional profile of pasta products by substituting wheat flour with BGRF is noteworthy. Key words: black glutinous rice, wheat, rice flour, pasta, antioxidant, bioactive compounds

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Assessing production, processing and utilization of sorghum in West Pokot County, Kenya

Sorghum is one of the most important and under-utilized cereal crops in the Arid and Semi-Arid land (ASAL) regions of Kenya. The crop is grown in drought-prone marginal agricultural areas of Western Central and Eastern and coastal regions of Kenya. The diverse biotic and abiotic constraints including climate changes reduce sorghum productivity. Sorghum technology generators continue promoting suitable management practices and innovations to cushion and improve the resilience of smallholder farmers against the adverse effects of climate change. These interventions contribute to the attainment of not only household and national food security but also enhance incomes. Despite the increasing sorghum production and utilization in West Pokot County, there is limited knowledge of the status of production, processing, and utilization technologies. The aim of this study was to assess the current sorghum production, processing, utilization technology, innovations, and management practices among smallholder farmers. A household survey was undertaken using a jointly developed structured questionnaire by a multi- and inter-disciplinary team of researchers. Using a multi-stage sampling technique, 599 households were randomly selected and interviewed. Data collected were on household and farm characteristics including technologies. The study revealed that compared to maize and pasture, land allocated to sorghum enterprise was relatively low ranging from 0.32 acres to 0.80 acres with an average of 0.73 acres. The adoption of various sorghum technological components was also low. Adoption of improved sorghum varieties was less than 7% while fertilizer use was less than 20%. These contribute to low crop yields of about 140kg per acre. In addition, value addition was also low. Sorghum use was limited to ugali (56%) and porridge (39%) against the diverse value-added products including bread baking. and industrial processing of pure and blended products. More farmer and stakeholders training need to be done. In order to fully upgrade the sorghum value chain; there is the need to have targeted sorghum policies focusing on a range of activities along the value chain. These interventions could be integrated into the West Pokot County Integrated Development Plan. Key words: Sorghum, Production, Marketing, Utilization, Challenges, Opportunities, West Pokot

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Impact of Government Enterprise and Empowerment Programme (GEEP) on poverty status of beneficiaries in Cross River State, Nigeria

In line with the sustainable development goal to end poverty in all forms, the Nigerian Government launched Government Enterprise and Empowerment Programme (GEEP) - as a social investment programme to alleviate poverty by providing credit to petty traders to support entrepreneurship. This study assesses the impact of Government Enterprise and Empowerment Programme (GEEP) on the poverty status of beneficiaries in Cross River State, Nigeria. Specifically, it compared the mean income before, and after accessing the loan, analysed the determinants of poverty status of the respondents in the study area, enumerated the benefits of GEEP to the respondents, and identified the challenges faced by the beneficiaries in accessing the loan. Stratified random sampling technique was used to select 398 respondents who had benefitted from the programme across the eleven Local Government Areas (LGAs) that the programme covered. Data were obtained from primary source with the aid of a well-structured questionnaire, and analyzed using; frequency count, mean, Foster Greer and Thorbecke (FGT) model, paired T- test (Z), and logistic regression analysis. The results showed that, majority of the respondents were male (55.6%) with a mean age of 35 years, and had an average household size of 5 persons. The study also showed that 98.9% of the respondents were educated. The mean monthly income before GEEP support was N 44,535.53, while after GEEP it was N54180.20. Thirty-six percent of the total respondents were poor (36%). The comparative analysis of the mean income before and after accessing the loan showed that, there was a significant difference between their mean incomes at 5% level of significance. Key variables that determined poverty status were; household size and loan amount. The main benefits of GEEP to the respondents were; increase in beneficiaries’ income, and improvement in their standard of living. The major challenges faced by the respondents were; lack of appropriate means to repay loan, stressful loan procedure, and difficulty in transferring money from mobile wallet to bank. The study recommended that the loan application process should be less complex to enable quick loan application. The GEEP programme should be sustained, and allowed to have wider coverage in both rural and urban areas of the country as it has assisted a lot of small business owners’ access to cheap credit. Key words: Impact, GEEP, empowerment programme, government enterprise, poverty status

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Development of a true density-based automated quality grading device for unboiled arecanut kernels

The automated sorting of arecanut kernels is a significant challenge that has not been effectively addressed thus far. Scientific grading techniques are necessary given the paradigm change toward investigating alternative uses for arecanuts in industry and the medical field. This research work emphasizes the relatively unexplored aspect of the post-harvest process; quality grading of kernels based on physical properties. It aimed to develop a novel approach for classifying unboiled (Chali) arecanut kernels cultivated in Goa, India based on their true density, using a combination of mechanical and visual techniques. The study explored the potential of true density as a quality indicator for real-time grading of the kernels. To achieve this, automated grading equipment was devised, utilizing a load cell to measure the kernel's mass and the ellipsoid approximation method to estimate its volume. A machine vision system captured the top and side images of the kernels to measure their volume. Python programs were created to enable image acquisition, processing, object detection, measurement and kernel segregation. Real-time kernel classification was accomplished by establishing serial data communication between the Python code and the Arduino board. The kernel segregation process was facilitated by servomechanism and a stepper motor. The kernels were classified into acceptable and non-acceptable categories based on a threshold value of true density. The research successfully established a method that utilizes the physical attributes of arecanut kernels as parameters for quality grading. However, the study encountered challenges with the density measurements, as the paired t-test results revealed significant differences between the kernel true density measured by the device and the true density estimated using the weighing scale-water displacement method, indicating a percentage error of 13.2%. Addressing these challenges would lead to more accurate density calculations, thereby enhancing the overall effectiveness of the kernel classification process. Furthermore, the technique allowed for the offline estimation of the kernels' porosity, which was found to be 45.3%. In future research, the integration of density and porosity measurement systems could be explored for real-time quality evaluation based on porosity, offering potential opportunities for further enhancement and optimization of the grading process. The technology could be further applied to other types of nuts and agricultural products, thereby overcoming the limitations of color-based sorting using image processing. Key words: Quality grading, True density, Machine vision, Arecanut kernel, Python

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Transaction cost effects on maize spatial price differences in Njombe market, Tanzania

Previous studies have demonstrated that tangible and intangible transaction costs influence spatial price differences. The difference between the prices at which producers sell their goods, and the prices at which consumers purchase them is exacerbated by transaction costs. This indicates that farmers receive a lower price from buyers, who then charge consumers a greater price at urban marketplaces. However, existing documentation provides limited information on the relationship between spatial price differences and their drivers. Most research focused primarily on the co-movement of prices and the co-integration test, with little attention paid to the effects of transaction costs on spatial price differences. Thus, the paucity of information in the literature motivated the undertaking of this specific study. Therefore, this study assessed the impact of transaction costs on spatial price differences of maize in the Njombe District of Tanzania. A semi-structured questionnaire was developed and employed to collect information from maize traders. Also, checklists were used to collect information from market leaders. Both descriptive and quantitative analyses were undertaken. In the descriptive analysis, means and percentages were generated. On the other hand, in the quantitative analyses, the Ravalion model which is based on the co-movement of prices, was modified to fit the study in question and estimated. The outputs generated from the modified model were used for inferences. The estimated model results showed that transaction costs (transportation costs, years of schooling, bribery, and the number of maize bags carried in one trip) have significant effects on spatial price differences. Moreover, market leaders revealed that because of the poor quality of the roads, individual farmers find it challenging to deliver their produce to the Njombe market. Consequently, they obtain a low price when they sell their produce at the farm level. The study recommends deliberate measures to reduce transaction costs, such as improving urban and rural infrastructure, simplifying bureaucratic procedures that provide room for corruption, and, finally, promoting large-scale production or collective actions to reduce transaction costs. Key words: Spatial price differences, transaction costs, markets, maize, farmers, traders

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Nutritional and safety assessment of aqueous extract of nutmeg seeds, Myristica fragrans

Nutmeg, Myristica fragrans is used as a spice or medicinal plant to manage ailments. This study evaluated the nutritional and safety assessment of an aqueous extract of Myristica fragrans in Wistar rats. Thirty male Wistar rats weighing 180 - 240 g were randomly distributed into five groups: Control received distilled water, while 100, 200, 300, and 400 mg/kg body weight represented the treatment groups, respectively. The extract was orally administered to the animals for 28 days and then euthanized under anesthesia. Blood, serum, and liver homogenates from rats were used for biochemical analysis. The phytate and tannin contents were 0.38 mg/100 g and 0.15 mg/100 g, respectively. The calculated phytic acid to zinc ratio was 0.12. The respective percentage proximate components of the extract include moisture, ash, fat, protein, and carbohydrates: 10.61%, 45.42%, 5.95%, 1.81%, 13.78%, and 22.43%, respectively. Sodium, potassium, calcium, iron, magnesium, zinc, manganese, and lead were present in the extract. There was a significant increase (p<0.05) in serum aspartate aminotransferase (AST), alanine aminotransferase (ALT), and acid phosphatase (ALP) activity in the groups treated with the extract compared to the control groups. Similarly, there was a significant increase (p<0.05) in serum total bilirubin and albumin concentrations in the extract treatment groups compared to control groups. On the contrary, there was a significant decrease (p<0.05) in the liver AST and ALP activity in the treatment groups compared to the control. The liver total protein and albumin concentrations showed a significant decrease (p<0.05) in the extract treatment groups compared to the control. There was a significant decrease (p<0.05) in the pack cell volume (PCV), haemoglobin (Hb), red blood cell (RBC), Mean cell volume (MCV), and platelet (PLT) levels in the animals in the extract treatment groups compared to the control group. Myristica fragrans is abundant in essential nutrients crucial for maintaining optimal physiological functions within the body, however, it is important to avoid excessive dosage or prolonged consumption which might be toxic to liver cells. Key words: Myristica, animals, tannins, phytic acid, chemical and drug Induced liver injury, minerals

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Determinants of rural households’ food security status in South Africa: lessons from covid-19 social relief grant recipients in NIDS-CRAM wave 5

The world experienced an unprecedented health shock (COVID-19) which caught everyone by surprise, and destabilized many sectors, especially the agri-food sector. This unpleasant situation caused upset in the food production and distribution chain, and continues to threaten the attainment of Sustainable Development Goal 2 which underscores zero hunger in society. Many people in South Africa were disproportionately affected with severe consequences on their livelihood activities, food security status, health status, and general welfare conditions; and as a result, social relief intervention was put in place or expanded. This study examined the factors influencing rural households’ food security status among the recipients of social relief grants in rural areas of South Africa. The study used a secondary dataset from Wave 5 of National Income Dynamics Study - Coronavirus Rapid Mobile Survey (NIDS-CRAM). The research applied descriptive statistics to describe the respondents’ socio-economic characteristics, and pattern of income flow. Food Insecurity Access Scale was employed to investigate the respondents’ food security status, while multinomial logistic regression was used to explore the determinants of food security. The results showed that the majority of the respondents were black (99%), female-headed (54.15%), dwelling in flats (74.01%), with secondary education (88.6%), and heavily dependent on government grants (58.61%). Also, most households were food secure (71.69%) during the pandemic. Moreover, households headed by men were more food secure (62.84%) compared to the ones headed by the female counterparts (37.08). Multinomial regression estimates revealed that formal education (p<0.1), employment status (p<0.05), dwelling type (p<0.01), as well as household size (p<0.01) significantly determined rural households’ food security status. The study concluded that social relief grants significantly reduced the food insecurity situation among the rural households in South Africa, and recommended that the government should ensure the continuation of the social relief of distress grant to the vulnerable people who are mostly domiciled in the rural areas, especially women who are disproportionately affected by these health shocks. Key words: Covid-19, social grant, rural households, food security, South Africa

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Ecological niche modeling to identify cultivation areas for pineapple in the Republic of Benin

Pineapple is one of the most important tropical fruit species, widely cultivated and economically important in Benin. This study aimed to identify potentially favorable areas for the cultivation of pineapple under current and future environmental conditions in Benin. The two cultivars of pineapple grown in Benin were separately considered: Sugarloaf and Smooth Cayenne. Five (05) modeling algorithms such as Maxent, Random Forest (RF), Support-Vector Machines (SVM), Boosted Regression Trees (BRT) and Generalized Linear Model (GLM) were compared using the criteria: area under the curve (AUC), sensitivity, specificity, Cohen’s Kappa, deviance and True Skill Statistic (TSS). The future climate models available for Africa at horizon 2055 were used under the “Representative Concentration Pathways” scenario 4.5 and 8.5. Results suggested that pineapple suitable areas were governed by a combination of effects of climate (temperature and precipitation) and soils characteristics. Indeed, soil pH, temperature seasonality and precipitation of driest quarter were the main variables driving pineapple production in Benin. Results also indicated that RF was the most suitable technique to model the distribution of pineapples regardless of the variety. The current potential range of favorable areas for the two varieties was mainly found in the central and southern parts of the country. In the future, following the RCP4.5 scenario, there will be an increase in the area favorable for the cultivation of Smooth Cayenne variety by 5.28% compared to the current situation whereas, the area favorable for the cultivation of the Sugarloaf variety will be increased by 7.7%. However, suitable areas for cultivation of Smooth Cayenne and Sugarloaf following the RCP8.5 scenario will be increased, respectively by 21.82% and 31.64%. The low and medium suitability areas for the cultivation of smooth cayenne will decrease by 15.57% and 2.93%, respectively at the horizon 2055 with future conditions under RCP4.5, and 15.48% and 4.97%, respectively at the horizon 2055 with future conditions under RCP8.5. For sugarloaf, the low and medium suitable cultivation areas will decrease by 1.59% and 14.24, respectively at the horizon 2055 with future conditions under RCP4.5. According to RCP8.5, the low suitable areas will decrease by 5.08%. This study constitutes an initial step towards a sustainable scheme for planning exploration of the possibility of extending pineapple cultivation in Benin. Key words: Climate change, modeling, algorithms, pineapple, potential area distribution

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Aflatoxin B1 contamination in porridge formulations for children and ingredients sourced from selected markets in Rwanda

Providing safe and nutritious food for children globally is a challenge. In Rwanda, an initiative was introduced in 2018 to tackle chronic malnutrition by offering fortified porridge flour to economically disadvantaged families during critical periods. However, flour-based products in the sub-region have caused public health concerns following aflatoxin B1 (AFB1) contamination. This study analyzed the levels of AFB1 in 197 porridge formulations from health centers, and 248 samples of porridge ingredients from open markets in three districts of Rwanda. Samples were collected between June 2021 and December 2022 and analyzed using ultra-high-performance liquid chromatography. Of the 197 samples from health centers, 97.9 and 89.8% exceeded the European Union maximum limits for baby foods and foods for special medical purposes (0.1 μg/kg), and cereals and nuts (2 μg/kg), respectively with an average contamination level of 2.77 μg/kg (±0.98). Only four samples exceeded the East African Community maximum limits of 5 μg/kg for AFB1. Samples from open markets that exceeded the European Union and East African community limits of 0.1 μg/kg, 2 μg/kg, and 5 μg/kg ranged from 17 to 100%, 0 to 100%, and 0 to 100%, respectively. Site and processing significantly influenced levels of AFB1 contamination in open-market samples. The mean AFB1 levels were 17.85 μg/kg (±70.25) in Burera District, 36.04 μg/kg (±85.59) in Huye District, and 9.01 μg/kg (±18.49) in Nyarugenge District. The average AFB1 levels significantly varied between different products. Peanut samples showed higher contamination levels of 56.79 and 99.08 μg/kg for grain and flour, respectively. Flour samples in general had a higher mean of 51.65 μg/kg (±105.75), compared to grain samples, 16.5 μg/kg (±44). Thus, there are potential health risks associated with chronic exposure to AFB1 in children consuming flour-based foods from health centers and open markets. Interventions to mitigate AFB1 contamination and protect children should focus on food processing practices, implementing strict quality control measures, and raising awareness among stakeholders about the risks of AFB1 in flour-based products provided to children in Rwanda and similar settings. Key words: Flour-based porridge, contamination, aflatoxin B1, children, Rwanda

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