1
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Vărzaru AA. Unveiling Digital Transformation: A Catalyst for Enhancing Food Security and Achieving Sustainable Development Goals at the European Union Level. Foods 2024; 13:1226. [PMID: 38672898 PMCID: PMC11048781 DOI: 10.3390/foods13081226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2024] [Revised: 04/08/2024] [Accepted: 04/15/2024] [Indexed: 04/28/2024] Open
Abstract
The digital revolution is reshaping various aspects of society, including having a profound impact on food security and the advancement of Sustainable Development Goals (SDGs). This study investigates the relationship between digital transformation, quantified through the components of the Digital Economy and Society Index (DESI), and SDGs related to food (SDG1, SDG2, SDG3, and SDG10), along with the overall SDG Index score. The data used for investigation are sourced from reports issued by the European Commission concerning DESI, as well as the SDG reports for the period from 2017 to 2022. The paper elucidates how different components of digitalization, such as connectivity, digital skills, internet usage, and digital public services, influence the attainment of food security objectives and broader sustainable development targets using structural equation modeling and cluster analysis. The findings underscore the pivotal role of digital technologies in enhancing poverty alleviation, health and well-being, and, in particular, mitigating inequality. This study contributes to understanding the complex relationship between digital transformation and food security, offering insights for policymakers, practitioners, and stakeholders aiming to leverage technology for advancing SDGs and fostering a more equitable and sustainable future.
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Affiliation(s)
- Anca Antoaneta Vărzaru
- Department of Economics, Accounting and International Business, University of Craiova, 200585 Craiova, Romania
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2
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Saguy IS, Silva CLM, Cohen E. Emerging challenges and opportunities in innovating food science technology and engineering education. NPJ Sci Food 2024; 8:5. [PMID: 38216591 PMCID: PMC10786934 DOI: 10.1038/s41538-023-00243-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 12/08/2023] [Indexed: 01/14/2024] Open
Abstract
Progress in science, technology, innovation, and digital capabilities call for reassessing food science, technology, and engineering (FST&E) education and research programs. This survey targeted global professionals and students across food disciplines and nutrition. Its main objectives included assessing the status of FST&E higher education, identifying challenges and opportunities, and furnishing recommendations. Seven topics affecting the future of the FST&E curricula were evaluated by the panel as 'High' to 'Very high', namely: 'Critical thinking', followed by 'Problem-solving projects', 'Teamwork/collaboration', 'Innovation/Open innovation' and 'Multidisciplinary'. The importance of academic partnership/collaboration with the Food Industry and Nutrition Sciences was demonstrated. Significant positive roles of the food industry in collaboration and partnerships were found. Other essential food industry attributes were related to internships, education, strategy, and vision. Collaboration between FST&E and nutrition sciences indicated the high standing of this direction. The need to integrate or converge nutrition sciences and FST&E is emphasized, especially with the growing consumer awareness of health and wellness. The study provides insights into new education and learning opportunities and new topics for future curricula.
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Affiliation(s)
- I S Saguy
- The Robert H. Smith Faculty of Agriculture, Food & Environment, The Hebrew University of Jerusalem, Rehovot, Israel.
| | - C L M Silva
- Universidade Católica Portuguesa, CBQF-Centro de Biotecnologia e Química Fina-Laboratório Associado, Escola Superior de Biotecnologia, Rua Diogo Botelho 1327, 4169-005, Porto, Portugal
| | - E Cohen
- Gilford Glazer Faculty of Business Administration, Ben-Gurion University of the Negev Beer-Sheva, Be'er Sheva, Israel
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3
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Cozzolino D, Sanal P, Schreuder J, Williams PJ, Assadi Soumeh E, Dekkers MH, Anderson M, Boisen S, Hoffman LC. Predicting Egg Storage Time with a Portable Near-Infrared Instrument: Effects of Temperature and Production System. Foods 2024; 13:212. [PMID: 38254513 PMCID: PMC10814904 DOI: 10.3390/foods13020212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 12/21/2023] [Accepted: 01/04/2024] [Indexed: 01/24/2024] Open
Abstract
Determining egg freshness is critical for ensuring food safety and security and as such, different methods have been evaluated and implemented to accurately measure and predict it. In this study, a portable near-infrared (NIR) instrument combined with chemometrics was used to monitor and predict the storage time of eggs under two storage conditions-room temperature (RT) and cold (CT) storage-from two production systems: cage and free-range. A total of 700 egg samples were analyzed, using principal component analysis (PCA) and partial least squares (PLS) regression to analyze the NIR spectra. The PCA score plot did not show any clear separation between egg samples from the two production systems; however, some egg samples were grouped according to storage conditions. The cross-validation statistics for predicting storage time were as follows: for cage and RT eggs, the coefficient of determination in cross validation (R2CV) was 0.67, with a standard error in cross-validation (SECV) of 7.64 days and residual predictive deviation (RPD) of 1.8; for CT cage eggs, R2CV of 0.84, SECV of 5.38 days and RPD of 3.2; for CT free-range eggs, R2CV of 0.83, SECV of 5.52 days and RPD of 3.2; and for RT free-range eggs, R2CV of 0.82, SECV of 5.61 days, and RPD of 3.0. This study demonstrated that NIR spectroscopy can predict storage time non-destructively in intact egg samples. Even though the results of the present study are promising, further research is still needed to further extend these results to other production systems, as well as to explore the potential of this technique to predict other egg quality parameters associated with freshness.
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Affiliation(s)
- Daniel Cozzolino
- Centre for Nutrition and Food Sciences, Queensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, St. Lucia, Brisbane, QLD 4072, Australia;
| | - Pooja Sanal
- School of Agriculture and Food Sustainability, The University of Queensland, St. Lucia, Brisbane, QLD 4072, Australia; (P.S.); (E.A.S.)
| | - Jana Schreuder
- Food Science Department, Stellenbosch University, Private Bag X1, Matieland, Stellenbosch 7602, South Africa; (J.S.); (P.J.W.)
| | - Paul James Williams
- Food Science Department, Stellenbosch University, Private Bag X1, Matieland, Stellenbosch 7602, South Africa; (J.S.); (P.J.W.)
| | - Elham Assadi Soumeh
- School of Agriculture and Food Sustainability, The University of Queensland, St. Lucia, Brisbane, QLD 4072, Australia; (P.S.); (E.A.S.)
| | - Milou Helene Dekkers
- Queensland Animal Science Precinct (QASP), The University of Queensland, Gatton Campus, St. Lucia, Brisbane, QLD 4072, Australia; (M.H.D.); (M.A.); (S.B.)
| | - Molly Anderson
- Queensland Animal Science Precinct (QASP), The University of Queensland, Gatton Campus, St. Lucia, Brisbane, QLD 4072, Australia; (M.H.D.); (M.A.); (S.B.)
| | - Sheree Boisen
- Queensland Animal Science Precinct (QASP), The University of Queensland, Gatton Campus, St. Lucia, Brisbane, QLD 4072, Australia; (M.H.D.); (M.A.); (S.B.)
| | - Louwrens Christiaan Hoffman
- Centre for Nutrition and Food Sciences, Queensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, St. Lucia, Brisbane, QLD 4072, Australia;
- Food Science Department, Stellenbosch University, Private Bag X1, Matieland, Stellenbosch 7602, South Africa; (J.S.); (P.J.W.)
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4
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Wong DTW, Ngai EWT. The effects of analytics capability and sensing capability on operations performance: the moderating role of data-driven culture. ANNALS OF OPERATIONS RESEARCH 2023:1-36. [PMID: 37361097 PMCID: PMC9985927 DOI: 10.1007/s10479-023-05241-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Accepted: 02/16/2023] [Indexed: 06/28/2023]
Abstract
Studies indicate that organizational capability is a key factor in operational performance, and that both sensing and analytics capabilities have a significant influence on operational performance. This study develops a framework to examine the impact of organizational capability on operational performance, with a specific focus on the implementation of sensing and analytics capabilities. We combine strategic fit theory, the dynamic capability view, and the resource-based view to examine how micro, small, and medium enterprises (MSMEs) strategically integrate a data-driven culture (DDC) with their organizational capabilities to enhance operational performance. We carry out empirical research to investigate whether a DDC moderates the influence of organizational capability on operational performance. Structural equation modeling of survey data from 149 MSMEs reveals that both sensing and analytics capabilities have a positive impact on operational performance. The results also suggest that a DDC positively moderates the influence of organizational capability on operational performance. We discuss the theoretical and managerial implications of our findings, the limitations of the study, and opportunities for further research.
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Affiliation(s)
- David T. W. Wong
- Department of Management and Marketing, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong People’s Republic of China
| | - Eric W. T. Ngai
- Department of Management and Marketing, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong People’s Republic of China
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5
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Bai R, Nguyen TT, Zhou Y, Diao Y, Zhang W. Identification of Antioxidative Peptides Derived from Arthrospira maxima in the Biorefinery Process after Extraction of C-Phycocyanin and Lipids. Mar Drugs 2023; 21:md21030146. [PMID: 36976194 PMCID: PMC10056772 DOI: 10.3390/md21030146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Revised: 02/09/2023] [Accepted: 02/22/2023] [Indexed: 03/03/2023] Open
Abstract
Arthrospira maxima has been identified as a sustainable source of rich proteins with diverse functionalities and bioactivities. After extracting C-phycocyanin (C-PC) and lipids in a biorefinery process, the spent biomass still contains a large proportion of proteins with potential for biopeptide production. In this study, the residue was digested using Papain, Alcalase, Trypsin, Protamex 1.6, and Alcalase 2.4 L at different time intervals. The resulting hydrolyzed product with the highest antioxidative activity, evaluated through their scavenging capability of hydroxyl radicals, superoxide anion, 2,2-diphenyl-1-picrylhydrazyl (DPPH), and 2,2′-azino-bis (3-ethylbenzothiazoline-6-sulfonic acid (ABTS), was selected for further fractionation and purification to isolate and identify biopeptides. Alcalase 2.4 L was found to produce the highest antioxidative hydrolysate product after four-hour hydrolysis. Fractionating this bioactive product using ultrafiltration obtained two fractions with different molecular weights (MW) and antioxidative activity. The low-molecular-weight fraction (LMWF) with MW <3 kDa had higher DPPH scavenging activity with the IC50 value of 2.97 ± 0.33 compared to 3.76 ± 0.15 mg/mL of the high-molecular-weight fraction (HMWF) with MW >3 kDa. Two stronger antioxidative fractions (F-A and F-B) with the respective significant lower IC50 values of 0.83 ± 0.22 and 1.52 ± 0.29 mg/mL were isolated from the LMWF using gel filtration with a Sephadex G-25 column. Based on LC-MS/MS analysis of the F-A, 230 peptides derived from 108 A. maxima proteins were determined. Notably, different antioxidative peptides possessing various bioactivities, including antioxidation, were detected with high predicted scores together with in silico analyses on their stability and toxicity. This study established knowledge and technology to further value-add to the spent A. maxima biomass by optimizing hydrolysis and fraction processes to produce antioxidative peptides with Alcalase 2.4 L after two products already produced in a biorefinery. These bioactive peptides have potential applications in food and nutraceutical products.
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Affiliation(s)
- Renao Bai
- School of Medicine, Huaqiao University, Quanzhou 362021, China
- Centre for Marine Bioproduct Development, College of Medicine and Public Health, Flinders University, Adelaide, SA 5042, Australia
| | - Trung T. Nguyen
- Centre for Marine Bioproduct Development, College of Medicine and Public Health, Flinders University, Adelaide, SA 5042, Australia
- Aquaculture Laboratory, College of Science and Engineering, Flinders University, Adelaide, SA 5042, Australia
| | - Yali Zhou
- School of Medicine, Huaqiao University, Quanzhou 362021, China
| | - Yong Diao
- School of Medicine, Huaqiao University, Quanzhou 362021, China
- Correspondence: (Y.D.); (W.Z.); Tel.: +86-595-2269-2516 (Y.D.); +61-8-72218557 (W.Z.)
| | - Wei Zhang
- Centre for Marine Bioproduct Development, College of Medicine and Public Health, Flinders University, Adelaide, SA 5042, Australia
- Marine Bioproducts Cooperative Research Centre, Adelaide, SA 5042, Australia
- Correspondence: (Y.D.); (W.Z.); Tel.: +86-595-2269-2516 (Y.D.); +61-8-72218557 (W.Z.)
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6
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Dionisio M, de Souza Junior SJ, Paula F, Pellanda PC. The role of digital social innovations to address SDGs: A systematic review. ENVIRONMENT, DEVELOPMENT AND SUSTAINABILITY 2023:1-26. [PMID: 36855437 PMCID: PMC9949910 DOI: 10.1007/s10668-023-03038-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Accepted: 02/10/2023] [Indexed: 06/18/2023]
Abstract
The impact of the COVID-19 pandemic has increased the search for solutions to social problems associated with the Sustainable Development Goals (SDGs). Main actors are turning to Digital Social Innovations (DSIs), defined as collaborative innovations where enterprises, users and communities collaborate using digital technologies to promote solutions at scale and speed, connecting innovation, the social world and digital ecosystems to reach the 2030 Agenda. This study aims to identify how digital transformations and social innovations solve social problems and address SDGs. We conducted a systematic review based on a sample of 45 peer-reviewed articles published from 2010 to 2022, combining a bibliometric study and a content analysis focusing on opportunities and threats impacting these fields. We observed the spread and increasing use of technologies associated with all 17 SDGs, specially blockchain, IoT, artificial intelligence, and autonomous robots that are increasing their role and presence exponentially, completely changing the current way of doing things, offering a dramatic evolution in many different segments, such as health care, smart cities, agriculture, and the combat against poverty and inequalities. We identified many threats concerning ethics, especially with the increased use of public data, and concerns about the impacts on the labor force and the possible instability and impact it may cause in low skill/low pay jobs. We expect that our findings advance the concept of digital social innovations and the benefits of its adoption to promote social advancements.
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Affiliation(s)
- Marcelo Dionisio
- Department of Business Administration, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de Janeiro, RJ Brazil
| | - Sylvio Jorge de Souza Junior
- Department of Business Administration, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de Janeiro, RJ Brazil
| | - Fábio Paula
- Department of Business Administration, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de Janeiro, RJ Brazil
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7
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Hassoun A, Jagtap S, Garcia-Garcia G, Trollman H, Pateiro M, Lorenzo JM, Trif M, Rusu AV, Aadil RM, Šimat V, Cropotova J, Câmara JS. Food quality 4.0: From traditional approaches to digitalized automated analysis. J FOOD ENG 2023. [DOI: 10.1016/j.jfoodeng.2022.111216] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
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8
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Hassoun A, Anusha Siddiqui S, Smaoui S, Ucak İ, Arshad RN, Bhat ZF, Bhat HF, Carpena M, Prieto MA, Aït-Kaddour A, Pereira JA, Zacometti C, Tata A, Ibrahim SA, Ozogul F, Camara JS. Emerging Technological Advances in Improving the Safety of Muscle Foods: Framing in the Context of the Food Revolution 4.0. FOOD REVIEWS INTERNATIONAL 2022. [DOI: 10.1080/87559129.2022.2149776] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Abdo Hassoun
- Univ. Littoral Côte d’Opale, UMRt 1158 BioEcoAgro, USC ANSES, INRAe, Univ. Artois, Univ. Lille, Univ. Picardie Jules Verne, Univ. Liège, Junia, Boulogne-sur-Mer, France
- Sustainable AgriFoodtech Innovation & Research (SAFIR), Arras, France
| | - Shahida Anusha Siddiqui
- Department of Biotechnology and Sustainability, Technical University of Munich, Campus Straubing for Biotechnology and Sustainability, Straubing, Germany
- German Institute of Food Technologies (DIL e.V.), Quakenbrück, Germany
| | - Slim Smaoui
- Laboratory of Microbial, Enzymatic Biotechnology and Biomolecules (LBMEB), Center of Biotechnology of Sfax, University of Sfax-Tunisia, Sfax, Tunisia
| | - İ̇lknur Ucak
- Faculty of Agricultural Sciences and Technologies, Nigde Omer Halisdemir University, Nigde, Turkey
| | - Rai Naveed Arshad
- Institute of High Voltage & High Current, Universiti Teknologi Malaysia, Skudai, Johor, Malaysia
| | - Zuhaib F. Bhat
- Division of Livestock Products Technology, SKUASTof Jammu, Jammu, Kashmir, India
| | - Hina F. Bhat
- Division of Animal Biotechnology, SKUASTof Kashmir, Kashmir, India
| | - María Carpena
- Nutrition and Bromatology Group, Analytical and Food Chemistry Department. Faculty of Food Science and Technology, University of Vigo, Ourense, Spain
| | - Miguel A. Prieto
- Nutrition and Bromatology Group, Analytical and Food Chemistry Department. Faculty of Food Science and Technology, University of Vigo, Ourense, Spain
- Centro de Investigação de Montanha (CIMO), Instituto Politécnico de Bragança, Campus de Santa Apolonia, Bragança, Portugal
| | | | - Jorge A.M. Pereira
- CQM—Centro de Química da Madeira, Universidade da Madeira, Funchal, Portugal
| | - Carmela Zacometti
- Istituto Zooprofilattico Sperimentale Delle Venezie, Laboratorio di Chimica Sperimentale, Vicenza, Italy
| | - Alessandra Tata
- Istituto Zooprofilattico Sperimentale Delle Venezie, Laboratorio di Chimica Sperimentale, Vicenza, Italy
| | - Salam A. Ibrahim
- Food and Nutritional Sciences Program, North Carolina A&T State University, Greensboro, North Carolina, USA
| | - Fatih Ozogul
- Department of Seafood Processing Technology, Faculty of Fisheries, Cukurova University, Adana, Turkey
| | - José S. Camara
- CQM—Centro de Química da Madeira, Universidade da Madeira, Funchal, Portugal
- Departamento de Química, Faculdade de Ciências Exatas e Engenharia, Campus da Penteada, Universidade da Madeira, Funchal, Portugal
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9
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A geographical traceability method for Lanmaoa asiatica mushrooms from 20 township-level geographical origins by near infrared spectroscopy and ResNet image analysis techniques. ECOL INFORM 2022. [DOI: 10.1016/j.ecoinf.2022.101808] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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10
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Meat 4.0: Principles and Applications of Industry 4.0 Technologies in the Meat Industry. APPLIED SCIENCES-BASEL 2022. [DOI: 10.3390/app12146986] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Meat 4.0 refers to the application the fourth industrial revolution (Industry 4.0) technologies in the meat sector. Industry 4.0 components, such as robotics, Internet of Things, Big Data, augmented reality, cybersecurity, and blockchain, have recently transformed many industrial and manufacturing sectors, including agri-food sectors, such as the meat industry. The need for digitalised and automated solutions throughout the whole food supply chain has increased remarkably during the COVID-19 pandemic. This review will introduce the concept of Meat 4.0, highlight its main enablers, and provide an updated overview of recent developments and applications of Industry 4.0 innovations and advanced techniques in digital transformation and process automation of the meat industry. A particular focus will be put on the role of Meat 4.0 enablers in meat processing, preservation and analyses of quality, safety and authenticity. Our literature review shows that Industry 4.0 has significant potential to improve the way meat is processed, preserved, and analysed, reduce food waste and loss, develop safe meat products of high quality, and prevent meat fraud. Despite the current challenges, growing literature shows that the meat sector can be highly automated using smart technologies, such as robots and smart sensors based on spectroscopy and imaging technology.
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Dissanayake IH, Zak V, Kaur K, Jaye K, Ayati Z, Chang D, Li CG, Bhuyan DJ. Australian native fruits and vegetables: Chemical composition, nutritional profile, bioactivity and potential valorization by industries. Crit Rev Food Sci Nutr 2022; 63:8511-8544. [PMID: 35491610 DOI: 10.1080/10408398.2022.2057913] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
Australian native plants have adapted themselves to harsh climatic conditions enabling them to produce unique and high levels of secondary metabolites. Native fruits and vegetables have been an integral part of the Indigenous Australian diet and Bush medicine for centuries. They have recently gained popularity owing to their rich dietary fiber, minerals, polyphenolic and antioxidant contents. This review presents a comprehensive summary and critical assessment of the studies performed in the last few decades to understand the phytochemical and nutritional profiles and therapeutic properties of Australian native fruits and vegetables. Furthermore, the potential of these fruits and vegetables as functional food ingredients and in the prevention and treatment of different diseases is discussed. Research on the nutritional and phytochemical profiles and therapeutic activity of Australian vegetables is limited with most studies focused on native fruits. These fruits have demonstrated promising antioxidant, anticancer, anti-inflammatory and antimicrobial activities mostly in in vitro models. More research to a) identify novel bioactive compounds, b) define optimal post-harvest and extraction methods, and c) understand molecular mechanisms of pharmacological activity through preclinical and clinical studies is prudent for the prospective and wider use of Australian native fruits and vegetables by the food, pharmaceutical, and nutraceutical industries.
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Affiliation(s)
| | - Valeria Zak
- School of Science, Western Sydney University, Campbelltown, NSW, Australia
| | - Kirandeep Kaur
- NICM Health Research Institute, Western Sydney University, Penrith, NSW, Australia
| | - Kayla Jaye
- NICM Health Research Institute, Western Sydney University, Penrith, NSW, Australia
| | - Zahra Ayati
- NICM Health Research Institute, Western Sydney University, Penrith, NSW, Australia
| | - Dennis Chang
- NICM Health Research Institute, Western Sydney University, Penrith, NSW, Australia
| | - Chun Guang Li
- NICM Health Research Institute, Western Sydney University, Penrith, NSW, Australia
| | - Deep Jyoti Bhuyan
- NICM Health Research Institute, Western Sydney University, Penrith, NSW, Australia
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12
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Liu F, Li M, Wang Q, Yan J, Han S, Ma C, Ma P, Liu X, McClements DJ. Future foods: Alternative proteins, food architecture, sustainable packaging, and precision nutrition. Crit Rev Food Sci Nutr 2022; 63:6423-6444. [PMID: 35213241 DOI: 10.1080/10408398.2022.2033683] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
There are numerous challenges facing the modern food and agriculture industry that urgently need to be addressed, including feeding a growing global population, mitigating and adapting to climate change, decreasing pollution, waste, and biodiversity loss, and ensuring that people remain healthy. At the same time, foods should be safe, affordable, convenient, and delicious. The latest developments in science and technology are being deployed to address these issues. Some of the most important elements within this modern food design approach are encapsulated by the MATCHING model: Meat-reduced; Automation; Technology-driven; Consumer-centric; Healthy; Intelligent; Novel; and Globalization. In this review article, we focus on four key aspects that will be important for the creation of a new generation of healthier and more sustainable foods: emerging raw materials; structural design principles for creating innovative products; developments in eco-friendly packaging; and precision nutrition and customized production of foods. We also highlight some of the most important new developments in science and technology that are being used to create future foods, including food architecture, synthetic biology, nanoscience, and sensory perception.Supplemental data for this article is available online at https://doi.org/10.1080/10408398.2022.2033683.
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Affiliation(s)
- Fuguo Liu
- College of Food Science and Engineering, Northwest A&F University, Yangling, Shaanxi, PR China
| | - Moting Li
- College of Food Science and Engineering, Northwest A&F University, Yangling, Shaanxi, PR China
| | - Qiankun Wang
- College of Food Science and Engineering, Northwest A&F University, Yangling, Shaanxi, PR China
| | - Jun Yan
- College of Food Science and Engineering, Northwest A&F University, Yangling, Shaanxi, PR China
| | - Shuang Han
- College of Food Science and Engineering, Northwest A&F University, Yangling, Shaanxi, PR China
| | - Cuicui Ma
- College of Food Science and Engineering, Northwest A&F University, Yangling, Shaanxi, PR China
| | - Peihua Ma
- Department of Nutrition and Food Science, College of Agriculture and Natural Resources, University of Maryland, College Park, MD, USA
| | - Xuebo Liu
- College of Food Science and Engineering, Northwest A&F University, Yangling, Shaanxi, PR China
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13
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Seafood Processing, Preservation, and Analytical Techniques in the Age of Industry 4.0. APPLIED SCIENCES-BASEL 2022. [DOI: 10.3390/app12031703] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Fish and other seafood products are essential dietary components that are highly appreciated and consumed worldwide. However, the high perishability of these products has driven the development of a wide range of processing, preservation, and analytical techniques. This development has been accelerated in recent years with the advent of the fourth industrial revolution (Industry 4.0) technologies, digitally transforming almost every industry, including the food and seafood industry. The purpose of this review paper is to provide an updated overview of recent thermal and nonthermal processing and preservation technologies, as well as advanced analytical techniques used in the seafood industry. A special focus will be given to the role of different Industry 4.0 technologies to achieve smart seafood manufacturing, with high automation and digitalization. The literature discussed in this work showed that emerging technologies (e.g., ohmic heating, pulsed electric field, high pressure processing, nanotechnology, advanced mass spectrometry and spectroscopic techniques, and hyperspectral imaging sensors) are key elements in industrial revolutions not only in the seafood industry but also in all food industry sectors. More research is still needed to explore how to harness the Industry 4.0 innovations in order to achieve a green transition toward more profitable and sustainable food production systems.
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14
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Hassoun A, Aït-Kaddour A, Abu-Mahfouz AM, Rathod NB, Bader F, Barba FJ, Biancolillo A, Cropotova J, Galanakis CM, Jambrak AR, Lorenzo JM, Måge I, Ozogul F, Regenstein J. The fourth industrial revolution in the food industry-Part I: Industry 4.0 technologies. Crit Rev Food Sci Nutr 2022; 63:6547-6563. [PMID: 35114860 DOI: 10.1080/10408398.2022.2034735] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Climate change, the growth in world population, high levels of food waste and food loss, and the risk of new disease or pandemic outbreaks are examples of the many challenges that threaten future food sustainability and the security of the planet and urgently need to be addressed. The fourth industrial revolution, or Industry 4.0, has been gaining momentum since 2015, being a significant driver for sustainable development and a successful catalyst to tackle critical global challenges. This review paper summarizes the most relevant food Industry 4.0 technologies including, among others, digital technologies (e.g., artificial intelligence, big data analytics, Internet of Things, and blockchain) and other technological advances (e.g., smart sensors, robotics, digital twins, and cyber-physical systems). Moreover, insights into the new food trends (such as 3D printed foods) that have emerged as a result of the Industry 4.0 technological revolution will also be discussed in Part II of this work. The Industry 4.0 technologies have significantly modified the food industry and led to substantial consequences for the environment, economics, and human health. Despite the importance of each of the technologies mentioned above, ground-breaking sustainable solutions could only emerge by combining many technologies simultaneously. The Food Industry 4.0 era has been characterized by new challenges, opportunities, and trends that have reshaped current strategies and prospects for food production and consumption patterns, paving the way for the move toward Industry 5.0.
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Affiliation(s)
- Abdo Hassoun
- Sustainable AgriFoodtech Innovation & Research (SAFIR), Arras, France
- Syrian Academic Expertise (SAE), Gaziantep, Turkey
| | | | - Adnan M Abu-Mahfouz
- Council for Scientific and Industrial Research, Pretoria, South Africa
- Department of Electrical & Electronic Engineering Science, University of Johannesburg, Johannesburg, South Africa
| | - Nikheel Bhojraj Rathod
- Department of Post-Harvest Management of Meat, Poultry and Fish, Post-Graduate Institute of Post-Harvest Management, Raigad, Maharashtra, India
| | - Farah Bader
- Saudi Goody Products Marketing Company Ltd, Jeddah, Saudi Arabia
| | - Francisco J Barba
- Nutrition and Bromatology Area, Department of Preventive Medicine and Public Health, Food Science, Toxicology and Forensic Medicine, Faculty of Pharmacy, University of Valencia, València, Spain
| | - Alessandra Biancolillo
- Department of Physical and Chemical Sciences, University of L'Aquila, Coppito, L'Aquila, Italy
| | - Janna Cropotova
- Department of Biological Sciences in Ålesund, Norwegian University of Science and Technology, Ålesund, Norway
| | - Charis M Galanakis
- Research & Innovation Department, Galanakis Laboratories, Chania, Greece
- Food Waste Recovery Group, ISEKI Food Association, Vienna, Austria
| | - Anet Režek Jambrak
- Faculty of Food Technology and Biotechnology, University of Zagreb, Zagreb, Croatia
| | - José M Lorenzo
- Centro Tecnológico de la Carne de Galicia, Ourense, Spain
- Área de Tecnología de los Alimentos, Facultad de Ciencias de Ourense, Universidad de Vigo, Ourense, Spain
| | - Ingrid Måge
- Fisheries and Aquaculture Research, Nofima - Norwegian Institute of Food, Ås, Norway
| | - Fatih Ozogul
- Department of Seafood Processing Technology, Faculty of Fisheries, Cukurova University, Adana, Turkey
| | - Joe Regenstein
- Department of Food Science, Cornell University, Ithaca, New York, USA
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Ma T, Wang H, Wei M, Lan T, Wang J, Bao S, Ge Q, Fang Y, Sun X. Application of smart-phone use in rapid food detection, food traceability systems, and personalized diet guidance, making our diet more health. Food Res Int 2022; 152:110918. [DOI: 10.1016/j.foodres.2021.110918] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Revised: 12/11/2021] [Accepted: 12/20/2021] [Indexed: 12/11/2022]
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16
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Advantages, Opportunities, and Challenges of Vibrational Spectroscopy as Tool to Monitor Sustainable Food Systems. FOOD ANAL METHOD 2022. [DOI: 10.1007/s12161-021-02207-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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17
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Eitzinger A. Data Collection Smart and Simple: Evaluation and Metanalysis of Call Data From Studies Applying the 5Q Approach. FRONTIERS IN SUSTAINABLE FOOD SYSTEMS 2021. [DOI: 10.3389/fsufs.2021.727058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Agricultural development projects often struggle to show impact because they lack agile and cost-effective data collection tools and approaches. Due to the lack of real-time feedback data, they are not responsive to emerging opportunities during project implementation and often miss the needs of beneficiaries. This study evaluates the application of the 5Q approach (5Q). It shows findings from analyzing more than 37,000 call log records from studies among five countries. Results show that response rate and completion status for interactive voice response (IVR) surveys vary between countries, survey types, and survey topics. The complexity of question trees, the number of question blocks in a tree, and the total call duration are relevant parameters to improve response and survey completion rate. One of the main advantages of IVR surveys is low cost and time efficiency. The total cost for operating 1,000 calls of 5 min each in five countries was 1,600 USD. To take full advantage of 5Q, questions and question-logic trees must follow the principle of keeping surveys smart and simple and aligned to the project's theory of change and research questions. Lessons learned from operating the IVR surveys in five countries show that the response rate improves through quality control of the phone contact database, using a larger pool of phone numbers to reach the desired target response rate, and using project communication channels to announce the IVR surveys. Among other things, the respondent's first impression is decisive. Thus, the introduction and the consent request largely determine the response and completion rate.
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18
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Provenance and Uniqueness in the Emerging Botanical and Natural Food Industries—Definition, Issues and Tools. FOOD ANAL METHOD 2021. [DOI: 10.1007/s12161-021-02079-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
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