Developing nutrient-rich vegetable flour using locally under-utilized food crops in Africa would improve rural house-hold nutrition. This study seeks to develop nutrient-dense vegetable flour from different proportions of Sweet potato (Sp) 40-100%, Avocado pear (Avo) 10-40%, and Turkey berry (Tor) 10-40%, using completely randomized design (CRD) with 14 treatment combinations and three replications. The proximate composition, mineral composition, and functional properties were investigated on the composite flour. The results showed significant differences in all the parameters analyzed for the various composite flours. As the amount of Avo and Tor was added to the Sp, the proximate composition was enhanced except for the percentage carbohydrate, which decreased from 83.92 to 54.59 g/100 g. The mineral composition was also improved by the incorporation of Avo and Tor. Favourable functional properties were also obtained. The optimal composite flour was made up of 40% Sp, 35% Avo, and 25% Tor. The functional properties of the composite flours were better than the control (Sweet potato flour). Fortifying Sp flour with Avo and Tor is feasible and could be an easy and affordable means to improve rural nutrition, as it requires simple logistics for the ordinary rural household to produce the composite of the desired choice.
Traceability in the cocoa bean trade is vital to ensuring quality. In this study, a handheld near-infrared (NIR) spectroscopy was attempted for rapid and nondestructive regional and geographical classification of...
Cocoa bean is the seed obtained from the pod of a tree crop botanically referred to as Theobroma cacao L. It is a famous cash crop with beneficial nutritional and valuable medicinal characteristics. Cocoa has fascinated the world for so many years and is a big component of chocolate and other confectionary foodstuffs. Some of the valuable medicinal benefits of cocoa include enhancement of brain and heart health, reduction in inflammation, control of weight and blood sugar, and development of healthy skin and teeth (Di Castelnuovo et al., 2012). Studies show that cocoa bean contains polyphenols, flavonoids, and procyanidin and it is an intensive source of antioxidants properties that can reduce blood clots and the risk of stroke and cardiovascular attacks (Cooper et al., 2008). Quality valuation
The global market for organic cocoa beans continues to show sturdy growth. A low-cost handheld NIR spectrometer (900-1700 nm) combined with multivariate classification algorithms was used for rapid differentiation analysis of organic cocoa beans’ integrity. In this research, organic and conventionally cultivated cocoa beans were collected from different locations in Ghana and scanned nondestructively with a handheld spectrometer. Different preprocessing treatments were employed. Principal component analysis (PCA) and classification analysis, RF (random forest), KNN (
K
-nearest neighbours), LDA (linear discriminant analysis), and PLS-DA (partial least squares-discriminant analysis) were performed comparatively to build classification models. The performance of the models was evaluated by accuracy, specificity, sensitivity, and efficiency. Second derivative preprocessing together with PLS-DA algorithm was superior to the rest of the algorithms with a classification accuracy of 100.00% in both the calibration set and prediction set. Second derivative algorithm was found to be the best preprocessing tool. The identification rates for the calibration set and prediction set were 96.15% and 98.08%, respectively, for RF, 91.35% and 92.31% for KNN, and 90.38% and 98.08% for LDA. Generally, the results showed that a handheld NIR spectrometer coupled with an appropriate multivariate algorithm could be used in situ for the differentiation of organic cocoa beans from conventional ones to ensure food integrity along the cocoa bean value chain.
Ground water is the source of drinking water for many people around the world, especially in rural areas. A lot of parameters such as the concentrations of Arsenic, Copper, Zinc and other heavy metals in conjunction with other physico-chemical properties contribute to the suitability of water for drinking and for other purposes. This study was carried out in the Bibiani-Anhwiaso-Bekwai District of the Western region of Ghana to assess the presence and the levels of selected heavy metals (As, Cu, Zn) pollution of boreholes from different villages in the study areas using Inductively Coupled Plasma Mass Spectrometry (ICP-MS). The result of the study revealed that, the mean concentrations of As, Cu and Zn in the analyzed samples were 0.00143, 0.0186 and 0.0329 mg/L, respectively. The analysis of variance showed that there were significant differences in the Arsenic concentrations among the eight boreholes (F=4.078, P=0.033). However, the differences in the concentrations of Copper (F=1.592, P=0.264) and Zinc (F=0.741, P=0.647) from the eight boreholes were not significant. Concentrations of the selected heavy metals in analysed water samples were below the acceptable limits of World Health Organization (WHO) and Ghana Environmental Protection Agency (GEPA). The concentration of the selected heavy metals may be attributed to the activities of panners, improper disposal of sewage and solid materials containing toxic chemicals and the indiscriminate use of farming inputs such as fertilizers and pesticides which have impacted on the water quality of the selected boreholes in the study areas. Although the levels of the selected heavy metals in these water samples did not exceed WHO and GEPA permissible limits, it is necessary for residents in the study areas to be provided with potable water.
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