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Design and equipment for restaurants and foodservice : a management view
Shows the reader how to plan and develop a restaurant or foodservice space.
Book
Food Texture Design by 3D Printing: A Review
An important factor in consumers’ acceptability, beyond visual appearance and taste, is food texture. The elderly and people with dysphagia are more likely to present malnourishment due to visually and texturally unappealing food. Three-dimensional Printing is an additive manufacturing technology that can aid the food industry in developing novel and more complex food products and has the potential to produce tailored foods for specific needs. As a technology that builds food products layer by layer, 3D Printing can present a new methodology to design realistic food textures by the precise placement of texturing elements in the food, printing of multi-material products, and design of complex internal structures. This paper intends to review the existing work on 3D food printing and discuss the recent developments concerning food texture design. Advantages and limitations of 3D Printing in the food industry, the material-based printability and model-based texture, and the future trends in 3D Printing, including numerical simulations, incorporation of cooking technology to the printing, and 4D modifications are discussed. Key challenges for the mainstream adoption of 3D Printing are also elaborated on.
Journal Article
Design and Optimization of a Second-Generation Extruded Snack Using Carrot Waste, Blue Corn Flour, and Ellagic Acid as Functional Ingredients
Blue maize is rich in bioactive compounds which are at risk of extinction due to monoculture practices. Carrot bagasse, considered a byproduct of the food industry, contains compounds that have been shown to benefit human health while also enhancing sustainability. Ellagic acid can prevent and assist in the treatment of various pathologies. Extrusion is a process characterized by its use of low energy, which minimizes the degradation of nutrients and bioactive compounds compared to other technologies. The objective of this research was to develop a functional food with high value of sensorial acceptance, desirable physicochemical, and antioxidant properties, using an 85:13:2% mixture of nixtamalized blue maize flour, carrot bagasse flour, and ellagic acid, processed with optimal conditions of extrusion determined with a surface response model. Operational conditions using a central rotatable experimental design were die temperature (DT = 120–170 °C), and screw speed (SS = 50–240 rpm), while response variables were physicochemical properties (expansion index, bulk density, breaking force, water absorption index and water solubility index) and antioxidant activity (free phenols inhibition of ABTS and DPPH). Sensory analysis, bromatological characterization and ellagic acid content determination with HPLC-DAD in reversed phase were also made. The optimal operational conditions were found to be DT = 144 °C and SS = 207 rpm, resulting in a mixture with high sensorial acceptability on a five-point hedonic scale. The optimized functional food may be used to promote the utilization of endemic ingredients and reduce food waste in the treatment of pathologies and prevention of diseases due to its high antioxidant activity attributed to phenolic and terpene compounds.
Journal Article
Artichoke By-Products Valorization for Phenols-Enriched Fresh Egg Pasta: A Sustainable Food Design Project
More healthy and sustainable food are nowadays desirable to improve human health and protect the planet’s resources. From this perspective, the aim of this study is to investigate artichoke (Cynara scolymus L.) by-products as a potential source of phenolic compounds and to use these compounds to design new fresh egg pasta formulation. Sustainable extraction was carried out using ultrasound-assisted extraction (UAE) and chemometric techniques, such as the Response Surface Methodology (RSM). UAE process parameters (temperature and time) and solvent composition (ethanol aqueous mixtures) were optimized using a three-level Box–Behnken design, in order to carry out the maximum yield in phenols. Under the optimal conditions (temperature: 60 °C; time: 60 min; solvent: 50% ethanol:water), the amount of phenolics (TPC) was 22.4 ± 0.2 mg GAE g−1 d.w., characterized mainly by dicaffeoylquinic acid (32.8 ± 0.6 mg CAE g−1 d.w.) and chlorogenic acid (14.1 ± 0.2 mg CAE g−1 d.w.). Hence, the polyphenols extract was used as an ingredient to design a new formulation of functional fresh egg pasta. Four recipes with soft wheat and semolina (P1 and P2) and with soft wheat alone (P3 and P4) were prepared. Compared with control pastas (P1 and P3), the enriched ones (P2 and P4) showed a higher polyphenol content, especially for P4 (1.86 ± 0.03 mg GAE g−1 d.w. for P1, 2.05 ± 0.02 mg GAE g−1 d.w. for P2, 1.92 ± 0.03 mg GAE g−1 d.w. for P3, 2.04 ± 0.02 mg GAE g−1 d.w. for P4). A high decrease in TPC was observed as a result of the cooking process, especially for the two control formulations (−71% for P1 and −70% for P3) in comparison with P2 (−64%) and P4 (−55%). At last, to assess the antimicrobial effect of artichoke by-products on fresh pasta and to monitor its spoilage, we used image analysis. Corresponding to a higher TPC content, P2 and P4 showed an extended shelf life of 16% and 33%, respectively, probably due to the antioxidant activity of artichoke. The new fresh egg pasta enriched with polyphenols extracted from artichoke by-products showed very good nutritional and technological characteristics, even after cooking, confirming the good potentiality of artichoke by-products in the design of new, healthy, and sustainable food products.
Journal Article
Food Design Thinking: A Systematic Review from an Evolutionary Perspective
Design thinking (DT) has been a subject of extensive debate and application across diverse knowledge domains, including the realm of food; nonetheless, its precise definition remains unclear. This systematic review comprised two components. Firstly, it examined the evolving understanding of DT by aggregating pertinent studies selected based on their representativeness, determined by the volume of citations. This process was deployed using citation mapping software, complemented by an analysis of the most pertinent reviews within this domain. Secondly, it investigated the Food Design Thinking (FDT) approach. The review encompassed a total of 22 references and reviews in the first segment and 27 studies in the second segment. In Part 1, the results revealed the emergence of two principal areas of investigation, namely education and management, stemming from the foundational DT theory. Furthermore, the findings highlighted that DT has assimilated the knowledge gathered from these domains. In Part 2, the outcomes illustrated the utilisation of FDT to address a multitude of food-related issues, including education, sustainability, health and wellbeing, and the development of food products. From this analysis, it is notable that this approach presents contextual variations while emphasising the notion of integration of the consumers throughout the FDT process.
Journal Article
Protocol for Designing New Functional Food with the Addition of Food Industry By-Products, Using Design Thinking Techniques—A Case Study of a Snack with Antioxidant Properties for Physically Active People
The aim of the work was to develop an easy-to-follow protocol for designing novel functional products with the addition of food industry by-products using design thinking techniques. As a result, a 12-step protocol has been designed and presented. The protocol consists of steps from the initial formation of the design team, through all the stages of the production and prototyping, until establishing the final storage conditions and creating final documentation. The protocol has been validated and explained using a case study in which a fish industry by-product hydrolysate with bioactive properties was used to develop a novel functional food product for physically active people: a date bar with carp meat and carp skin gelatin hydrolysate. Following the 12 steps presented in the protocol resulted in developing a food product with high nutritional value and antioxidant power which remains stable during storage at reduced temperatures. Moreover, the product is characterized by good sensory qualities and can be easily implemented into full-scale production. The newly designed protocol is an easy-to-follow method that could be used in almost any kind of food industry sector to sucesfully develop user-focused functional food products with by-product addition.
Journal Article
Technological Advancements of Insoluble Dietary Fiber from Food By-Product Processing: A Review
Insoluble dietary fibers (IDFs) represent one of the most promising candidates for novel food formulations, since they can be produced from a wide range of food by-products and wastes, have health benefits, and often enhance the rheology and stability of foods. Recently, the most innovative engineering and processing aspects of these attractive ingredients have received considerable attention. The present work is aimed at enlightening the technological state of the art regarding IDFs (much less investigated than soluble fibers, as discussed in this review). The review begins with a brief but crucial discussion on the definition of this type of dietary fiber by highlighting the raw materials, functional properties, physiological activity, and stabilization capacity in food products. The analysis of the rheological methods dedicated to the technical investigations of these ingredients and recent advancements are discussed. Finally, food processing technologies used in the formulation of foods containing insoluble IDFs, such as homogenization techniques, are discussed.
Journal Article
Development of NADES–Annatto Seed Extract for Enhancing 3D Printed Food Designed for Dysphagia Patients
This study develops a 3D printed food designed for dysphagia patients, incorporating a natural deep eutectic solvent (NADES)–annatto seed extract. The objective was to enhance textural properties and bioactive retention in food matrices tailored for individuals with swallowing difficulties. NADES extraction was compared to ethanol, with the extracts incorporated into gelatin and starch hydrogels. Gelatin, a widely used biopolymer, improved mechanical properties and printability, ensuring a cohesive and structured matrix for 3D printing. Textural analysis showed that starch-based 3D printed hydrogels exhibited lower hardness, adhesiveness, and gumminess compared to molded samples, making them more suitable for dysphagia-friendly diets than gelatin-based formulations. The IDDSI fork test confirmed that selected 3D printed samples met essential texture requirements for safe consumption by dysphagia patients. The combination of NADES-extracted bioactive compounds and 3D printing enabled the development of functional foods with optimized texture and nutritional properties. Additionally, gelatin played a key role in enhancing elasticity and structural integrity in printed samples, reinforcing its potential for food texture modification. This study presents an innovative approach to dysphagia-friendly food formulation, integrating green extraction methods with advanced food processing technologies, paving the way for safer, nutritionally enhanced, and customizable functional foods for individuals with swallowing disorders.
Journal Article
An Integrated Approach of Mechanistic-Modeling and Machine-Learning for Thickness Optimization of Frozen Microwaveable Foods
Mechanistic-modeling has been a useful tool to help food scientists in understanding complicated microwave-food interactions, but it cannot be directly used by the food developers for food design due to its resource-intensive characteristic. This study developed and validated an integrated approach that coupled mechanistic-modeling and machine-learning to achieve efficient food product design (thickness optimization) with better heating uniformity. The mechanistic-modeling that incorporated electromagnetics and heat transfer was previously developed and validated extensively and was used directly in this study. A Bayesian optimization machine-learning algorithm was developed and integrated with the mechanistic-modeling. The integrated approach was validated by comparing the optimization performance with a parametric sweep approach, which is solely based on mechanistic-modeling. The results showed that the integrated approach had the capability and robustness to optimize the thickness of different-shape products using different initial training datasets with higher efficiency (45.9% to 62.1% improvement) than the parametric sweep approach. Three rectangular-shape trays with one optimized thickness (1.56 cm) and two non-optimized thicknesses (1.20 and 2.00 cm) were 3-D printed and used in microwave heating experiments, which confirmed the feasibility of the integrated approach in thickness optimization. The integrated approach can be further developed and extended as a platform to efficiently design complicated microwavable foods with multiple-parameter optimization.
Journal Article