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Статті в журналах з теми "Intelligent food packaging":
Anetta, Barska, and Wyrwa Joanna. "Innovations in the food packaging market – intelligent packaging – a review." Czech Journal of Food Sciences 35, No. 1 (March 3, 2017): 1–6. http://dx.doi.org/10.17221/268/2016-cjfs.
He, Jiating, Ray Chin Chong Yap, Siew Yee Wong, and Xu Li. "Polymer Composites for Intelligent Food Packaging." Journal of Molecular and Engineering Materials 03, no. 01n02 (March 2015): 1540005. http://dx.doi.org/10.1142/s2251237315400055.
Kryuk, Roman, Marina Kurbanova, Anastasia Kolbina, Konstantin Plotnikov, Igor Plotnikov, Andrey Petrov, and Mohammed El Amine Khelef. "Color Sensors “In Intelligent Food Packaging”." Food Processing: Techniques and Technology 52, no. 2 (July 6, 2022): 321–33. http://dx.doi.org/10.21603/2074-9414-2022-2-2366.
Vanderroost, Mike, Peter Ragaert, Frank Devlieghere, and Bruno De Meulenaer. "Intelligent food packaging: The next generation." Trends in Food Science & Technology 39, no. 1 (September 2014): 47–62. http://dx.doi.org/10.1016/j.tifs.2014.06.009.
Yan, Mary R., Sally Hsieh, and Norberto Ricacho. "Innovative Food Packaging, Food Quality and Safety, and Consumer Perspectives." Processes 10, no. 4 (April 12, 2022): 747. http://dx.doi.org/10.3390/pr10040747.
Ma, Yuchen, Wei Yang, Yujie Xia, Wenshuang Xue, Haixia Wu, Zhanming Li, Fang Zhang, Bin Qiu, and Caili Fu. "Properties and Applications of Intelligent Packaging Indicators for Food Spoilage." Membranes 12, no. 5 (April 28, 2022): 477. http://dx.doi.org/10.3390/membranes12050477.
Azeredo, Henriette M. C., and Daniel Souza Correa. "Smart choices: Mechanisms of intelligent food packaging." Current Research in Food Science 4 (2021): 932–36. http://dx.doi.org/10.1016/j.crfs.2021.11.016.
Vasile, Cornelia, and Mihaela Baican. "Progresses in Food Packaging, Food Quality, and Safety—Controlled-Release Antioxidant and/or Antimicrobial Packaging." Molecules 26, no. 5 (February 26, 2021): 1263. http://dx.doi.org/10.3390/molecules26051263.
Fuertes, Guillermo, Ismael Soto, Raúl Carrasco, Manuel Vargas, Jorge Sabattin, and Carolina Lagos. "Intelligent Packaging Systems: Sensors and Nanosensors to Monitor Food Quality and Safety." Journal of Sensors 2016 (2016): 1–8. http://dx.doi.org/10.1155/2016/4046061.
Grubor, Aleksandar, Jelena Končar, Radenko Marić, Goran Vukmirović, and Nikola Milićević. "The Use of Intelligent Packaging in Supply Chain of Food Products." Promet - Traffic&Transportation 32, no. 5 (September 22, 2020): 639–53. http://dx.doi.org/10.7307/ptt.v32i5.3388.
Дисертації з теми "Intelligent food packaging":
Silva, Mariana Rodrigues Ferreira da. "Active and intelligent bionanocomposites for food packaging." Master's thesis, Universidade de Aveiro, 2017. http://hdl.handle.net/10773/22400.
A produção de plásticos, baseados no uso de combustíveis fósseis, está a aumentar e estima-se que esta tendência continuará no futuro com impactos ambientais consideráveis. Os bioplásticos são uma alternativa amiga do ambiente. Biopolímeros como quitosana já foram adotados com sucesso para produzir bioplásticos que agem como substitutos do plástico em embalagem. A quitosana foi selecionada devido às suas numerosas vantagens para embalagem alimentar, principalmente devido às suas atividades antioxidantes e antimicrobiana. Por outro lado, o dióxido de titânio foi selecionado como aditivo devido à sua capacidade de retirar oxigénio do ambiente e devido à possibilidade de poder ser facilmente funcionalizado para a formação de um sensor. Isto permitiria a formação de uma embalagem ativa e inteligente na proteção do alimento. Assim, nanopartículas homogéneas arredondadas e monofásicas de anatase de dióxido de titânio (TiO2) foram usadas para melhorar os filmes de quitosana, criando um bionanocompósito. Estas nanopartículas de TiO2 foram produzidas por síntese hidrotermal, tendo sido otimizadas as condições de síntese, como a temperatura e tempo, para selecionar as condições que originam as nanopartículas com as caraterísticas desejadas. As condições escolhidas para a produção do TiO2 foram 200 ºC e 2,5 h devido ao tamanho, dispersão e tipo de nanoparticulas de TiO2 produzidas. Os filmes de quitosana foram preparados com cerca de 9 mg de nanopartículas de TiO2. Para criar uma embalagem ativa e inteligente compostos fenólicos (principalmente antocianinas) de arroz preto (Oryza sativa L. Indica) foram adicionados para funcionalizar o TiO2 (4,1 mg de extrato por filme). Os filmes foram caracterizados em relação à sua atividade antioxidante, humidade, solubilidade, hidrofobicidade da superfície e propriedades mecânicas. Os melhores resultados foram obtidos nos filmes com nanopartículas e compostos fenólicos e foi demonstrado que a forma como cada componente é adicionado altera as suas propriedades. Os melhores resultados foram o aumento da atividade antioxidante, diminuição da solubilidade e da elasticidade, elongação e resistência à tração no filme composto por pigmento e TiO2,. No entanto nestes últimos três parâmetros, a sua diminuição pode ser um aspeto positivo ou negativo dependendo das propriedades desejadas para o filme e o produto alimentar a embalar
Plastic production based in fossil fuels is rising, and predictions supports it continuous and enhanced use, with consequent environmental damage. Bioplastics are an environmentally friendly alternative. Biopolymers as chitosan have already been successfully used to produce bioplastics that act as plastic substitutes in packaging. Chitosan was chosen for its numerous advantages for food packaging namely due to its antioxidant and antimicrobial activities. On the other hand, TiO2 was selected due to its oxygen scavenging ability and due to its possibility to be easily functionalised to create a sensor. This would allow the construction of an active and intelligent packaging for food protection. Thus, monophasic anatase homogeneous round-shaped nanoparticles of titanium dioxide (TiO2) were used as filler to improve the chitosan films, creating a bionanocomposite. These TiO2 nanoparticles were produced via a hydrothermal method and its synthesis was optimized testing various reaction times and temperatures to find the conditions that create TiO2 nanoparticles with the desired features. The conditions used for the chosen TiO2 were 200 ºC and 2.5 h due to the size, dispersion and TiO2 of the nanoparticles produced. The chitosan films were prepared with about 9 mg of TiO2 nanoparticles. To develop an active and intelligent food packaging, phenolic compounds (mainly anthocyanins) from black rice (Oryza sativa L. Indica) were used to functionalise the TiO2 (4.1 mg of extract in each film). The films were characterised regarding its antioxidant activity, humidity, solubility, surface hydrophilicity and mechanical properties. The best results were from films with both nanoparticles and phenolic compounds, and it was established that the order in which they are added alters its properties. The more notable improvements are an increase in antioxidant activity and a decrease in solubility, elasticity, elongation and tensile strength in the film containing pigment and TiO2. However, the reduction of the later three properties can either be positive or negative, it depends on desired properties for the film for a chosen food product
Lawrie, Katherine Mary. "Novel, UV-activated intelligent inks for food packaging." Thesis, Queen's University Belfast, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.579762.
ZIA, JASIM. "Functional Materials for Active and Intelligent Food Packaging Applications." Doctoral thesis, Università degli studi di Genova, 2020. http://hdl.handle.net/11567/1018414.
CAMMARELLE, ANTONELLA. "The adoption of health and eco-innovations to improve quality, food safety and sustainability." Doctoral thesis, Università di Foggia, 2021. https://hdl.handle.net/11369/425189.
Packaging plays a pivotal role in preserving food quality, integrity and safety along the whole food supply chain. Its importance is also linked to the possible reduction of food loss and waste aimed at promoting more sustainable production and consumption patterns. Actually, at the end of food product use, a large amount of packaging is wasted and often it escapes formal collection and recycling systems and eventually it end-ups polluting our environment. Hence, there is the need to contribute to packaging innovations able to minimize food loss and waste by optimizing the use of the materials such as, active, intelligent and sustainable packaging (e.g., biodegradable and compostable one). In this context, there is a large room for innovation in the packaging sector in the attempt to enhance food safety and to maintain the quality of products. Also, innovative packaging may have higher chances to satisfy the social needs in increasing the sustainability of individual choices, reaching the Sustainable Development Goals indicated by the 2030 UN Agenda. In the light of these premises, the aim of this thesis is twofold. First, it is to explore whether consumers are willing to purchase food products packaged with innovative solutions such as active, intelligent and sustainable packaging, as well as to define the determinants of their intentions. Secondly, it is to investigate if the food and drink manufacturers are willing to invest in such packaging innovations. Then, after a general introduction of these packaging innovations and their application in the food and drink sector, the first part of the work is focused to investigate the consumers acceptance and willingness to pay (WTP) for active, intelligent and sustainable packaging by collecting evidence available in the literature and published between 2005 to 2018. Moreover, in order to reach the aforementioned objectives, 260 Italian consumers were surveyed and 20 Italian micro and smallmedium entrepreneurs interviewed. Preliminary results show that consumer’s acceptance and WTP for smart packaging are influenced by the consumer's knowledge about these technologies. Furthermore, most of the consumers are interested in buying food products packed with intelligent packaging rather than the active one to reduce their wastes at home, thanks to the ability of this package to provide real-time use-by or expiration data. Respondents are also willing to purchase foods (e.g., milk) packaged in sustainable packaging (e.g., biodegradable packaging) to improve the environmental wellbeing. Moreover, descriptive statistics show that respondents slightly prefer to purchase products packaged using plant-based (e.g., corn, sugarcane etc.) biodegradable material, rather than the use of organic waste feedstocks (e.g., whey), as well most of the respondents are willing to pay from 1% to 5% more for milk packed in biodegradable packaging, regardless of the raw material used. Finally, most of the interviewed manufacturers are willing to invest in at least one packaging innovation, mainly preferring between the active packaging and the sustainable one (e.g., compostable packaging).
Teixeira, Silva Fernando. "Emballage intelligent : faisabilité de l’utilisation d’un biocapteur couplé à un tag RFID UHF pour le suivi de la température." Thesis, Montpellier, 2017. http://www.theses.fr/2017MONTT124/document.
Intelligent packaging (IP) is an emerging technology based on the communication function of packages. Radio frequency Identification (RFID) is considered the most promising concept of IP. RFID refers to technologies and systems that use radio waves (wireless) to transmit and uniquely identify and/or track objects with accurate information in a real time.The present thesis is based on an innovative study of the electrical (capacitance) and dielectric properties (real permittivity and loss factor) of soybean isolated protein, gelatin and sodium caseinate aiming at their use as a sensor of temperature coupled with RFID tags. The environmental variables were temperature (range from 20°C up to 80°C) and humidity (90% RH) that are normally used for meat cooking. Gelatin was the most sensitive sensor. After this first part, several steps have been set up:• Analysing the impact of gelatin film thickness on electrical capacitance and the determination of several parameters such as sensitivity, hysteresis and repeatability;• The coating of gelatin on a RFID tag tested at 90% RH and variation of temperature (20°C up to 80°C) in a pilot condition. The impact on the reading range was analysed.The potential of gelatin as a sensor was demonstrated at thickness of 38 µm and 125 µm. For the first case, the capacitance was stable at 20°C up to 80°C and at Ultra High Frequency band (300-900 MHz). Sample with 125 µm has suffered the electro-thermal breakdown between 60-80°C. To overcome this phenomenon, 600 MHz was applied. A balance between thickness and frequency should be consider to increase the sensitivity that was 0.14 pF/°C (125 m at 600 MHz); this value was higher than 0.045 pF/°C (38 m at 868 MHz) influencing the results in the simulation of meat cooking. Reuse of the same sensor has led to mass loss reducing the sensitivity. The feasibility of gelatin sensor-enable RFID tag was demonstrated. The tag covered by gelatin film in the whole antenna was suitable because it was able to deliver different Theoretical Reading Range (TRR) (p<0.05) for 868 MHz, 915 MHz and 960 MHz. At this layout also, the TRR was the same (without hysteresis) for the rising and descending temperature at the critical zone (60°C- 80°C and 60°C-20°C) at 915 MHz. These promisor results open a window for new conception of temperature sensor based on biomaterial that confers advantages, such as low cost and eco-friendly property sought to be interfaced to passive RFID tags for intelligent packaging
De, Donno Serena. "Development of a colorimetric indicator label for food oxidation based on hexanal detection." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018.
Dobiáš, Vojtěch. "Senzor kvality prostředí potravinového obalu." Master's thesis, Vysoké učení technické v Brně. Fakulta chemická, 2021. http://www.nusl.cz/ntk/nusl-449725.
Chen, Cuiren 1962. "Application of computer simulation and artificial intelligence technologies for modeling and optimization of food thermal processing." Thesis, McGill University, 2001. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=37877.
As a preliminary research, neural network models were successfully developed for modeling of residence time distribution (RTD) under aseptic processing conditions. The main configuration parameters of neural networks such as the number of hidden layers and their neurons, learning runs, choice of transfer functions and learning rules were optimized.
In order to provide experimental data needed for developing and testing of ANN models and GA optimization, a comprehensive finite difference computer simulation program for thermal processing was first developed in MS Visual Basic language, which could be used for simulating different thermal processes such as constant retort temperature (CRT) and variable retort temperature (VRT) thermal processing.
The second objective was focused on developing modeling and optimization methods for CRT thermal processing using ANNs and GAs. The ANN models were developed for predicting process time, average quality retention, surface cook value, final temperature difference, lethality ratio, and equivalent energy consumption. Using this optimization program, the effects of process variables on the optimal retort temperature and the maximum average quality retention were investigated.
The final part of the thesis research was focused on applying ANN methods for the analysis of critical control points (CCPs) for deviant thermal processes, one of the important steps required for developing hazard analysis of critical control points (HACCP) program. The results indicated that ANN models could be efficiently used for the analysis of CCPs of thermal processing. Such a concept can be expanded for developing an ANN based HACCP expert system for thermal processing. (Abstract shortened by UMI.)
Banús, Paradell Núria. "New solutions to control robotic environments: quality control in food packaging." Doctoral thesis, Universitat de Girona, 2021. http://hdl.handle.net/10803/673469.
Els sistemes de visió per computador i les tècniques d’intel·ligència artificial són dues àrees de recerca actives en el context de la Indústria 4.0. La seva combinació permet la reproducció de procediments humans millorant al mateix temps el rendiment dels processos. Malgrat això, per aconseguir l’automatització completa desitjada, hi ha la necessitat de noves aplicacions capaces de cobrir el màxim d’escenaris i processos industrials possibles. Una de les àrees que necessita més investigació i desenvolupament és el control de qualitat dels envasos d’aliments, i més concretament, el control del tancament i del segellat d’envasos termoformats. Les necessitats en aquesta àrea van ser identificades per TAVIL que, amb col·laboració amb GILAB, van proposar un Doctorat Industrial per investigar, desenvolupar i integrar en escenaris reals nous mètodes per millorar l’etapa d’envasat de la indústria alimentària mitjançant sistemes de visió per computador i tècniques d’intel·ligència artificial. En el context d’aquest Doctorat Industrial, s’han seguit dues línies d’investigació que es diferencien en el nivell en el qual estudien el problema. La primera línia es basa en el control de qualitat d’envasos d’aliments, mentre que la segona es basa en el control eficient de sistemes de visió per computador en escenaris industrials
Programa de Doctorat en Tecnologia
Книги з теми "Intelligent food packaging":
Annu, Tanima Bhattacharya, and Shakeel Ahmed, eds. Nanotechnology in Intelligent Food Packaging. Wiley, 2022. http://dx.doi.org/10.1002/9781119819011.
Ahmed, Shakeel, Annu, and Tanima Bhattacharya. Nanotechnology in Intelligent Food Packaging. Wiley & Sons, Incorporated, John, 2022.
Ahmed, Shakeel, Annu, and Tanima Bhattacharya. Nanotechnology in Intelligent Food Packaging. Wiley & Sons, Incorporated, John, 2022.
Ahmed, Shakeel, Annu, and Tanima Bhattacharya. Nanotechnology in Intelligent Food Packaging. Wiley & Sons, Incorporated, John, 2022.
Ahmed, Shakeel, Annu, and Tanima Bhattacharya. Nanotechnology in Intelligent Food Packaging. Wiley & Sons, Limited, John, 2022.
Singh, Preeti, Horst-Christian Langowski, Ali A. Wani, and Sven Sangerlaub. Modified Atmosphere, Intelligent and Active Packaging: Science and Technology. Wiley & Sons, Limited, John, 2012.
Частини книг з теми "Intelligent food packaging":
Özdemir, İbrahim Sani. "Intelligent Packaging." In Handbook of Food Safety Engineering, 693–705. Oxford, UK: Wiley-Blackwell, 2012. http://dx.doi.org/10.1002/9781444355321.ch29.
Siró, István. "Intelligent Packaging and Food Safety." In Practical Food Safety, 375–94. Chichester, UK: John Wiley & Sons, Ltd, 2014. http://dx.doi.org/10.1002/9781118474563.ch19.
Cristina, Nerin, Vera Paula, and Canellas Elena. "Active and Intelligent Food Packaging." In Food Safety and Protection, 459–91. Boca Raton : CRC Press, [2017]: CRC Press, 2017. http://dx.doi.org/10.1201/9781315153414-14.
Veeraiyan, Sivapriya, Abdul Azeez Nazeer, Dhandapani Saravanan, and Sudarshana Deepa Vijaykumar. "Surface Chemistry for Intelligent Food Packaging." In Biomaterials in Food Packaging, 83–104. New York: Jenny Stanford Publishing, 2022. http://dx.doi.org/10.1201/9781003256786-3.
Siró, István. "Active and Intelligent Packaging of Food." In Progress in Food Preservation, 23–48. Oxford, UK: Wiley-Blackwell, 2012. http://dx.doi.org/10.1002/9781119962045.ch2.
Vibha, C., Jyotishkumar Parameswaranpillai, Suchart Siengchin, K. Senthilkumar, G. L. Praveen, Nisa Salim, and Nishar Hameed. "Intelligent/Smart Nanocomposite Packaging: Functions and Applications." In Nano-Innovations in Food Packaging, 143–63. Boca Raton: Apple Academic Press, 2022. http://dx.doi.org/10.1201/9781003277422-7.
Aliabbasi, Neda, Babak Faraji, Zahra Emam-Djomeh, Maryam Salami, and Gholamreza Askari. "Biopolymer-Based Active and Intelligent Packaging for Food Applications." In Biodegradable Polymer-Based Food Packaging, 245–75. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-5743-7_13.
Awuchi, Chinaza Godswill, and Terwase Abraham Dendegh. "Active, Smart, Intelligent, and Improved Packaging." In Application of Nanotechnology in Food Science, Processing and Packaging, 189–202. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-98820-3_12.
Li, Ya, and Fulun He. "Network Intelligent Application Technology in Food Outer Packaging Design." In Advances in Intelligent Systems and Computing, 192–98. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-53980-1_29.
Khan, Abdul Waheed, Ume Roobab, Kainat Shehzadi, Muhammad Inam-Ur-Raheem, and Rana Muhammad Aadil. "Clean Label Interventions in Active and Intelligent Food Packaging." In The Age of Clean Label Foods, 161–208. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-96698-0_6.
Тези доповідей конференцій з теми "Intelligent food packaging":
Beyler Çiğil, Aslı. "Biobased intelligent packaging application." In 10th International Symposium on Graphic Engineering and Design. University of Novi Sad, Faculty of technical sciences, Department of graphic engineering and design,, 2020. http://dx.doi.org/10.24867/grid-2020-p40.
McEvoy, Aisling K., Christoph Von Bueltzingsloewen, Colette M. McDonagh, Brian D. MacCraith, Ingo Klimant, and Otto S. Wolfbeis. "Optical sensors for application in intelligent food-packaging technology." In OPTO Ireland, edited by Thomas J. Glynn. SPIE, 2003. http://dx.doi.org/10.1117/12.464210.
Kocetkovs, Vjaceslavs, and Sandra Muizniece-Brasava. "Consumer awareness and attitudes towards active and intelligent packaging systems in the Latvian market." In 13th Baltic Conference on Food Science and Technology “FOOD. NUTRITION. WELL-BEING”. Latvia University of Life Sciences and Technologies. Faculty of Food Technology, 2019. http://dx.doi.org/10.22616/foodbalt.2019.025.
Liu, Lin, and Mengying Chen. "The application of interactive concept in food packaging." In International Conference on Intelligent and Human-Computer Interaction Technology (IHCIT 2022), edited by Wei Wei. SPIE, 2022. http://dx.doi.org/10.1117/12.2655191.
Ozcan, Arif. "New approaches in smart packaging technologies." In 10th International Symposium on Graphic Engineering and Design. University of Novi Sad, Faculty of technical sciences, Department of graphic engineering and design,, 2020. http://dx.doi.org/10.24867/grid-2020-p1.
Ryspayeva, Assel, Thomas D. A. Jones, Paul A. Hughes, Mohammadreza Nekouie Esfahani, Matthew P. Shuttleworth, Russell A. Harris, Robert W. Kay, Marc P. Y. Desmulliez, and Jose Marques-Hueso. "PEI/Ag as an Optical Gas Nano-Sensor for Intelligent Food Packaging." In 2018 IEEE 18th International Conference on Nanotechnology (IEEE-NANO). IEEE, 2018. http://dx.doi.org/10.1109/nano.2018.8626269.
Fadhilah, Hamid, Esmeralda C. Djamal, Ridwan Ilyas, and Asep Najmurrokhman. "Non-Halal Ingredients Detection of Food Packaging Image Using Convolutional Neural Networks." In 2018 International Symposium on Advanced Intelligent Informatics (SAIN). IEEE, 2018. http://dx.doi.org/10.1109/sain.2018.8673376.
De Sousa Ribeiro, Fabio, Francesco Caliva, Mark Swainson, Kjartan Gudmundsson, Georgios Leontidis, and Stefanos Kollias. "An adaptable deep learning system for optical character verification in retail food packaging." In 2018 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS). IEEE, 2018. http://dx.doi.org/10.1109/eais.2018.8397178.
Wei, Tian, and Song Xiangbo. "Selection of Optimal Packaging Methods for Different Food Based on Big Data Analysis." In 2020 IEEE International Conference on Power, Intelligent Computing and Systems (ICPICS). IEEE, 2020. http://dx.doi.org/10.1109/icpics50287.2020.9202379.
Kryuk, Roman, A. S. Kozlyakina, K. S. Napreev, and V. A. Kryuk. "BIODEGRADABLE PACKAGING IN THE MODERN WORLD." In I International Congress “The Latest Achievements of Medicine, Healthcare, and Health-Saving Technologies”. Kemerovo State University, 2023. http://dx.doi.org/10.21603/-i-ic-64.