scholarly journals Nutritional Quality of Moringa oleifera Seeds and Physicochemical Properties of Its Crude Oil

2020 ◽  
Vol 3 (4) ◽  
pp. 341-346
Author(s):  
Milson S. Barbosa ◽  
Cintia C.C. Freire ◽  
Danyelle A. Mota ◽  
Lays C. Almeida ◽  
Ranyere L. Souza ◽  
...  

This study aimed to evaluate the centesimal composition of Moringa oleifera Lam seeds and identify the physicochemical properties of crude oil extracted from Moringa oleifera Lam seeds. The values ​​found for the centesimal composition showed that the seeds are constituted by 41% of crude oil, 32.40% of proteins, 4.20% of ash, 19.54% of carbohydrate, and 2.86% of moisture. These results indicate that Moringa oleifera Lam seeds are a potential source for health and diet food products. Compared with oils from Moringa oleifera Lam seeds grown in other countries, the physicochemical characteristics found in the oil are in agreement with data from the literature. Therefore, Moringa oleifera Lam oil can be used as a potential source for the manufacture of several industrial products, such as food and cosmetics.  

2021 ◽  
Vol 8 (1) ◽  
pp. 1-10
Author(s):  
Ana Luiza de Melo Lucena ◽  
Manoel Bandeira de Albuquerque ◽  
Magnolia Martins Alves ◽  
Raul Santos Rocha de Araujo ◽  
Cassio Ricardo Goncalves da Costa

2018 ◽  
Vol 21 (8) ◽  
pp. 1409-1417 ◽  
Author(s):  
Suladda Pongutta ◽  
Pitipa Chongwatpol ◽  
Parwin Tantayapirak ◽  
Stefanie Vandevijvere

AbstractObjectiveThe present study assessed the nutrition information displayed on ready-to-eat packaged foods and the nutritional quality of those food products in Thailand.DesignIn March 2015, the nutrition information panels and nutrition and health claims on ready-to-eat packaged foods were collected from the biggest store of each of the twelve major retailers, using protocols developed by the International Network for Food and Obesity/Non-communicable Diseases Research, Monitoring and Action Support (INFORMAS). The Thai Nutrient Profile Model was used to classify food products according to their nutritional quality as ‘healthier’ or ‘less healthy’.ResultsIn total, information from 7205 food products was collected across five broad food categories. Out of those products, 5707 (79·2 %), 2536 (35·2 %) and 1487 (20·6 %) carried a nutrition facts panel, a Guideline Daily Amount (GDA) label and health-related claims, respectively. Only 4691 (65·1 %) and 2484 (34·5 %) of the products that displayed the nutrition facts or a GDA label, respectively, followed the guidelines of the Thai Food and Drug Administration. In total, 4689 products (65·1 %) could be classified according to the Thai Nutrient Profile Model, of which 432 products (9·2 %) were classified as healthier. Moreover, among the 1487 products carrying health-related claims, 1219 (82·0 %) were classified as less healthy. Allowing less healthy food products to carry claims could mislead consumers and result in overconsumption of ready-to-eat food products.ConclusionsThe findings suggest effective policies should be implemented to increase the relative availability of healthier ready-to-eat packaged foods, as well as to improve the provision of nutrition information on labels in Thailand.


2020 ◽  
Vol 22 (13) ◽  
pp. 1348-1361
Author(s):  
Wasif Nouman ◽  
Tehmeena Bashir ◽  
Rehman Gul ◽  
Tehseen Gull ◽  
Mark E. Olson ◽  
...  

2020 ◽  
Vol 79 (OCE2) ◽  
Author(s):  
Donato Angelino ◽  
Alice Rosi ◽  
Margherita Dall'Asta ◽  
Nicoletta Pellegrini ◽  
Daniela Martini

AbstractIn Europe, the label information on food is regulated by the Reg. (EU) n.1169/2011 but many other regulated declarations (e.g. nutrition or heath claims (NHC), presence of gluten) can be provided on the pack. All this information could influence the perception of food quality and thus the consumers’ intention-to-buy. However, whether the nutritional quality of food products is comparable among products with different characteristics (e.g. presence/absence of NHC, gluten free (GF) declaration, brand) has been barely studied.Based on these premises, the Food Labelling of Italian Products (FLIP) Study aims to systematically investigate the overall nutritional quality of the main food categories sold on the Italian market. The present work focused on sweet cereal-based products (biscuits, breakfast cereals, and sweet snacks).Products were selected from the website of thirteen retailers present on the Italian market and data were collected from the complete images of all the sides of the pack. Then, biscuits, breakfast cereals, and sweet snacks were further sub-grouped for specific comparisons considering i) descriptive name reported, ii) presence/absence of GF declaration, iii) presence/absence of NHC declaration, iv) brand/own label. Data of energy, nutrient and salt contents per 100 grams of product for each product category were considered and comparisons among the sub-groups were performed (Mann Whitney test or Kruskal Wallis one-way ANOVA based on two or multiple independent samples, respectively) (ver. 25.0, SPSS Inc., Chicago, IL, USA). In addition, a Principal Component Analysis was performed for all products and for each product sub-category by considering energy and nutrient contents per 100 grams of product to better describe the inter-product nutritional variability.A total of 814 biscuits, 371 breakfast cereals and 476 sweet snacks were included. Limited differences were found between branded and own label products and between GF and gluten-containing products. Conversely, interesting differences were observed between products with and without NHC. For instance, biscuits with nutrition claims resulted with an overall lower content of total energy, total fats and sugars compared to product without these claims, in agreement with previous investigations. Finally, a high inter-product variability was observed among the different sub-categories for the three product categories.Future researches performed within the FLIP study will allow to have a clearer picture about the nutritional quality of food products sold in Italy and to understand if specific food characteristics might be considered as a “marker” of the overall quality of food products


2020 ◽  
Vol 79 (OCE2) ◽  
Author(s):  
Mélanie Deschasaux ◽  
Inge Huybrechts ◽  
Neil Murphy ◽  
Chantal Julia ◽  
Serge Hercberg ◽  
...  

AbstractIn 2017, 11 million deaths related to non-communicable diseases (NCDs) were attributable to dietary risk factors (GBD, 2019). Helping consumers make healthier food choices hence appears as one key strategy to prevent NCDs-related mortality. To this end, political authorities are considering implementing a simple label to reflect the nutritional quality of food products. The five-colour Nutri-Score label, derived from the Nutrient Profiling System of the British Food Standards Agency (FSAm-NPS), has been chosen by several countries in Europe (France, Belgium, Spain). Yet, its implementation is still voluntary per EU labelling regulation. Scientific evidence is therefore needed regarding the relevance of the FSAm-NPS at the European level. Following on our results showing an increased risk of cancer related to the consumption of foods with a high FSAm-NPS score in the EPIC cohort, our objective is now to focus on NCDs-related mortality. Our prospective analyses included 501,594 adults from the EPIC cohort (1992–2015, median follow-up: 17.2 years). Mortality events occurring < 2 years after recruitment were excluded, leaving 50,743 death events (main causes: cancer, n = 21,971; cerebro/cardiovascular diseases, n = 12,407; respiratory diseases, n = 2,796). Usual food intakes were assessed with standardized country-specific diet assessment methods. The FSAm-NPS was calculated for each food/beverage using their 100-g content in energy, sugar, saturated fatty acid, sodium, fibres, proteins, and fruits/vegetables/legumes/nuts. The individual FSAm-NPS Dietary Index (DI) is obtained as an energy-weighted mean of the FSAm-NPS scores of all food items usually consumed by a participant. Cox proportional hazards models adjusted for confounding factors, including personal history of cancer, cardiovascular diseases and diabetes were computed. Fine and Gray models were also tested to take into account competing events for cause-specific mortality analyses. A higher FSAm-NPS DI score, reflecting a lower nutritional quality of the diet, was associated with a higher mortality risk overall (HRQ5vs.Q1 = 1.06 [95%CI: 1.02–1.09], P-trend < 0.001) and by cancer (HRQ5vs.Q1 = 1.06 [1.01–1.11], P-trend = 0.003) and respiratory diseases (HRQ5vs.Q1 = 1.33 [1.16–1.52], P-trend < 0.001), with similar results in competing events analyses. Associations with cerebro-/cardiovascular diseases mortality were weaker (HRQ5vs.Q1 = 1.05 [0.98,1.11], P-trend = 0.04) and no longer statistically significant in competing events analyses. In this large multinational European cohort, the consumption of food products with a higher FSAm-NPS score (lower nutritional quality of the foods consumed) was associated with a higher mortality risk, supporting the relevance of the FSAm-NPS to grade the nutritional quality of food products for public health applications (e.g, Nutri-Score) aiming to guide the consumers towards healthier food choices.


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