Fungi: A Potential Future Meat Substitute

2021 ◽  
pp. 181-195
Author(s):  
Meganathan Bhuvaneswari ◽  
Nallusamy Sivakumar
Keyword(s):  
Meat Substitute

scholarly journals Consumer preferences for meat products blended with plant-based 1 proteins in Germany

2020 ◽  
Author(s):  
Adriano Profeta ◽  
Marie Baune
Keyword(s):  
Online Survey ◽  
Consumer Preferences ◽  
Meat Product ◽  
Meat Products ◽  
Meat Consumption ◽  
Sustainable Food ◽  
Consumption Behaviour ◽  
Meat Substitute ◽  
Daily Diet ◽  
Social Environmental

High levels of meat consumption are increasingly being criticised for ethical, environmental, andsocial reasons. Plant-based meat substitutes have been identified as healthy sources of proteinin comparison to meat. This alternative o?ers several social, environmental and health benefitsand may play a role in reducing meat consumption. However, there has been a lack of researchon how specific meat substitute attributes can influence consumers to replace or partially replacemeat in their diets.Research demonstrates that in many countries consumers are highly attached to meat.They considerit as an essential and integral element of their daily diet. For these consumers which arenot interested in vegan or vegetarian alternatives to meat, so-called meathybrids could be a lowthresholdoption for a more sustainable food consumption behaviour. In meathybrids only afraction of the meat product (e.g. 20% to 50%) is replaced with plant-based proteins.In this paper, the results of an online survey with 500 German consumers are presented with focuson preferences and attitudes relating to meathyrids. The results show that more than fifty percentof consumers substitute meat at least occasionally. Thus, about half of the respondents reveal aneligible consumption behaviour in respect to sustainability and healthiness to a certain degree.Concerning the determinants of choosing either meathybrid or meat it becomes evident that thehighest e?ect is exerted by the health perception. The healthier meathybrids are perceived, thehigher is the choice probability. Thus, this egoistic motive seems to outperform altruistic motiveslike animal welfare or environmental concerns when it comes to choice for this new productcategory

scholarly journals Consumers’ Attitudes Facing Entomophagy: Polish Case Perspectives

2020 ◽  
Vol 17 (7) ◽  
pp. 2427 ◽  
Author(s):  
Agnieszka Orkusz ◽  
Wioletta Wolańska ◽  
Joanna Harasym ◽  
Arkadiusz Piwowar ◽  
Magdalena Kapelko
Keyword(s):  
Nutritional Value ◽  
Environmental Benefits ◽  
Production Costs ◽  
Edible Insects ◽  
Psychological Barriers ◽  
Edible Insect ◽  
Meat Substitute ◽  
Willingness To Adopt ◽  
Main Factors ◽  
Insects As Food

Based on high nutritional value and low production costs, edible insects are an excellent and sustainable source of animal proteins. However, completely replacing meat with edible insects requires a change in consumer mentality not only in Poland, but also in other European countries. In western countries, most people reject eating insects, mainly for cultural reasons. Concerning this, the objective of the study was to examine the knowledge, behavior, and attitudes of the Polish community about edible insects and to understand the main factors driving edible insect consumption. The study was held at the Wroclaw University of Economics and Business, Poland and consisted of two parts: The survey (among 464 students) and the tasting session (among 402 participants). The main findings suggest that there is low willingness to adopt edible insects as a meat substitute among Polish students due to the psychological barriers, such as neophobia and disgust. However, the willingness to eat processed insect food (bread, biscuit) is far higher than for unprocessed whole insects. Environmental benefits are the factors that least affected students’ willingness to try edible insects. Additionally, the tasting session of the bread with powdered insects was attended by the vast majority of participants, which indicates that a positive sensory experience can improve the acceptability of insects as food.

Kawal, meat substitute from fermentedCassia obtusifolia leaves

1984 ◽  
Vol 38 (3) ◽  
pp. 342-349 ◽  
Author(s):  
Hamid A. Dirar
Keyword(s):  
Meat Substitute

scholarly journals Optimizing the Nutritional Composition of a Meat Substitute Intended to Replace Meat in Observed Diet Results in Marked Improvement of the Diet Quality of French Adults

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 1089-1089
Author(s):  
Marion Salomé ◽  
Hélène Fouillet ◽  
Marie-Charlotte Nicaud ◽  
Alison Dussiot ◽  
Emmanuelle Kesse-Guyot ◽  
...  
Keyword(s):  
Diet Quality ◽  
Nutrient Intake ◽  
Adult Population ◽  
Linear Optimization ◽  
Nutritional Composition ◽  
Alpha Linolenic Acid ◽  
Meat Substitute ◽  
Dried Shiitake Mushroom ◽  
The Impact

Abstract Objectives While consumers’ demand is growing, meat substitutes have much varied composition, raising questions about their nutritional interest. We aimed to identify the composition of a meat substitute that would best improve diet quality, and analyze the impact on nutrient adequacy. Methods We aimed at maximizing the overall diet quality of an average individual representing the nutrient intake of the French adult population (INCA3, n = 1125) by modeling the composition of a meat substitute intended to replace meat, using non-linear optimization (using SAS, proc optmodel). The diet quality was assessed using the PANDiet scoring system, which assesses the probability of adequate nutrient intake. Nutritional constraints were applied in order to not increase the risk of overt deficiency for 12 nutrients. A list of 159 ingredients was used to compose the meat replacer and technological constraints were defined so as to take into account the feasibility of the formulation. The impacts on diet quality of the modelled meat substitute were analyzed and compared with those of 43 meat substitutes on the market. Results The optimized meat substitute was composed of 13 ingredients (such as coco bean, yellow sweet pepper, rapeseed oil, dried shiitake mushroom, wheat bran and thyme) and this formulation proved to be relatively robust to variations in the model constraints, as shown by a sensitivity analysis. Meat substitution with this optimized meat substitute largely increased the PANDiet, by 5.5 points above its initial value before substitution (73.7/100). In particular, it led to better adequacies for nutrients that are currently insufficiently consumed (e.g., alpha-linolenic acid, fiber, linoleic acid). It also allowed to compensate for loss of some nutrients partly provided by meat (e.g., vitamin B6, potassium and, to a certain extent, bioavailable iron), but was not sufficient to compensate for bioavailable zinc and vitamin B12. The optimized meat substitute proved to be dramatically more nutritionally efficient than the available meat substitutes, whose individual impact on the PANDiet ranged from −3.1 to +1.5 points. Conclusions We proved that it is possible to select appropriate ingredients resulting in a meat substitute that could be a fairly good nutritional lever when substituting meat. Funding Sources Partly funded by a PhD fellowship from Terres Univia.

scholarly journals Development of quality index to classify meal healthiness through photos: first step for app of meal assessment using Machine Learning

2020 ◽  
Vol 79 (OCE2) ◽  
Author(s):  
Josiane Steluti ◽  
Jun Okamoto Junior ◽  
Dirce Maria Lobo Marchioni
Keyword(s):  
Food Intake ◽  
Quality Index ◽  
Processed Food ◽  
Cooking Method ◽  
Meat Intake ◽  
Significant Agreement ◽  
Meat Substitute ◽  
Meal Quality ◽  
Food Variety ◽  
Index Components

AbstractIntroduction:Currently, there are approximately 84 million smartphones in use in Brazil. The use of this technology facilitates the daily life of the individuals in the personal, social and professional scope. Therefore, we hypothesize that it can be used to assess and improve dietary intake. Thus, we intend to develop an application to assess meal quality from a photo taken by a smartphone, using artificial intelligence. For this, the machine should be trained to recognize which meal is healthy or unhealthy, and, as a first step, a meal quality index is necessary.Objective:This study aims to develop a meal quality index, to be applied to photos of dishes from a main meal.Methods:For the development of the index, it was considered the main recommendations established in the scientific literature and the “Dietary Guidelines for the Brazilian Population”. The index includes nine components: 1- meat intake and/or meat substitute, 2- cooking method, 3- vegetables intake, 4- whole food intake, 5- food variety, 6- ultra-processed food intake, 7- fruits intake, 8- carbohydrates intake, 9- fat recipes and/or food. First, questions were elaborated and scored as 0 point (unhealthy answer) or 1 point (healthy answer). After, the meal photo was classified as “needs improvement” (< 4 points), good (> 5 e < 7 points) and very good (> 8 points). Each photo was assessed by two experts. Then, statistical analyses were performed considering Kappa (k) statistic to evaluate the agreement between the assessments by experts.Results:Data from 154 meal photos were assessed. We analyzed the % of agreement, k-value and significant agreement (p-value) for all index components and final classification, respectively: 1- meat intake and/or meat substitute, 64.94% and k = 0.2759 (p < 0.001); 2- cooking method, 81.82% and k = 0.5915 (p = 0.000); 3- vegetables intake, 77.27% and k = 0.5353 (p = 0.000); 4- whole food intake, 98.05% and k = -0.0087 (p = 0.545); 5- food variety, 79.22% and k = 0.5899 (p = 0.000); 6- ultra processed food intake, 76.62% and k = 0.4515 (p = 0.000); 7- fruits intake, 94.81% and k = 0.8494 (p = 0.000); 8- carbohydrates intake, 65.58% and k = 0.2960 (p = 0.000); 9- fat recipes and/or food, 73.38% and k = 0.4654 (p = 0.000); and final classification, 58.44% and k = 0.3218 (p = 0.000).Conclusion:We verified a moderate and significant agreement for almost all index components using meal photo.

Sign in / Sign up

Export Citation Format

Share Document