Novel approaches for food safety management and communication
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George-John E. Nychas | Efstathios Z. Panagou | Fady R. Mohareb | G. Nychas | Efstathios Z Panagou | F. Mohareb
[1] Stephen J. Fallows,et al. White Paper on food safety , 2000 .
[2] Royston Goodacre,et al. Rapid and quantitative detection of the microbial spoilage of muscle foods: current status and future trends. , 2001 .
[3] Royston Goodacre,et al. Explanatory analysis of spectroscopic data using machine learning of simple, interpretable rules , 2003 .
[4] D. Kell,et al. Metabolomics by numbers: acquiring and understanding global metabolite data. , 2004, Trends in biotechnology.
[5] G. Nychas,et al. Meat spoilage during distribution. , 2008, Meat science.
[6] Khalil Arshak,et al. An overview of foodborne pathogen detection: in the perspective of biosensors. , 2010, Biotechnology advances.
[7] Wee Chew,et al. Trends in process analytical technology , 2010 .
[8] George-John E. Nychas,et al. Contribution of Fourier transform infrared (FTIR) spectroscopy data on the quantitative determination of minced pork meat spoilage , 2011 .
[9] J. Gustavsson. Global food losses and food waste , 2011 .
[10] Efsa Publication. EFSA Panel on Biological Hazards (BIOHAZ); Scientific Opinion on Scientific Opinion on risk based control of biogenic amine formation in fermented foods , 2011 .
[11] Sandipan Roy,et al. Quality by design : A holistic concept of building quality in pharmaceuticals , 2012 .
[12] Danilo Ercolini,et al. Spoilage microbiota associated to the storage of raw meat in different conditions. , 2012, International journal of food microbiology.
[13] J. W. Allwood,et al. Fingerprinting food: current technologies for the detection of food adulteration and contamination. , 2012, Chemical Society reviews.
[14] Peter Harrington,et al. Machine Learning in Action , 2012 .
[15] Xiaoming Wu,et al. A traceability system incorporating 2D barcode and RFID technology for wheat flour mills , 2012 .
[16] D. Powell,et al. Audits and inspections are never enough: a critique to enhance food safety , 2013 .
[17] G. Nychas,et al. Monitoring the succession of the biota grown on a selective medium for pseudomonads during storage of minced beef with molecular-based methods. , 2013, Food microbiology.
[18] Frans van den Berg,et al. Process Analytical Technology in the food industry , 2013 .
[19] Fu Ying,et al. Application of Internet of Things to the Monitoring System for Food Quality Safety , 2013, 2013 Fourth International Conference on Digital Manufacturing & Automation.
[20] R. Newsome,et al. Applications and Perceptions of Date Labeling of Food. , 2014, Comprehensive reviews in food science and food safety.
[21] V. Giaccone,et al. Levels of microbial contamination of domestic refrigerators in Italy , 2014 .
[22] Arun K Bhunia,et al. One day to one hour: how quickly can foodborne pathogens be detected? , 2014, Future microbiology.
[23] Hong Tan,et al. Big Data Based Design of Food Safety Cloud Platform , 2014, ICRA 2014.
[24] Mariem Ellouze,et al. Software for predictive microbiology and risk assessment: a description and comparison of tools presented at the ICPMF8 Software Fair. , 2015, Food microbiology.
[25] Da-Wen Sun,et al. Recent Applications of Spectroscopic and Hyperspectral Imaging Techniques with Chemometric Analysis for Rapid Inspection of Microbial Spoilage in Muscle Foods , 2015 .
[26] Kok-Gan Chan,et al. Rapid methods for the detection of foodborne bacterial pathogens: principles, applications, advantages and limitations , 2015, Front. Microbiol..
[27] Hadi Parastar,et al. MVC app: A smartphone application for performing chemometric methods , 2015 .
[28] B. Taminiau,et al. Metagenomic insights into the dynamics of microbial communities in food. , 2015, International journal of food microbiology.
[29] Wei Wang,et al. The design of an electronic pedigree system for food safety , 2015, Inf. Syst. Frontiers.
[30] Konstantinos P. Koutsoumanis,et al. Use of Time Temperature Integrators in food safety management , 2015 .
[31] Hong-Ju He,et al. Toward enhancement in prediction of Pseudomonas counts distribution in salmon fillets using NIR hyperspectral imaging , 2015 .
[32] M H Zwietering,et al. Risk assessment and risk management for safe foods: Assessment needs inclusion of variability and uncertainty, management needs discrete decisions. , 2015, International journal of food microbiology.
[33] D. Cozzolino. Foodomics and infrared spectroscopy: from compounds to functionality , 2015 .
[34] Wei Yu,et al. The Current Status of Process Analytical Technologies in the Dairy Industry , 2015 .
[35] David I. Ellis,et al. A tutorial review: Metabolomics and partial least squares-discriminant analysis--a marriage of convenience or a shotgun wedding. , 2015, Analytica chimica acta.
[36] Qiang Chen,et al. Value-centric design of the internet-of-things solution for food supply chain: Value creation, sensor portfolio and information fusion , 2012, Information Systems Frontiers.
[37] N. E. Bari,et al. Instrumental assessment of red meat origins and their storage time using electronic sensing systems , 2015 .
[38] J. Russ,et al. Image Analysis of Foods. , 2015, Journal of food science.
[39] Hong-Ju He,et al. Inspection of harmful microbial contamination occurred in edible salmon flesh using imaging technology , 2015 .
[40] F. Villani,et al. Lactic acid bacteria and their controversial role in fresh meat spoilage. , 2015, Meat science.
[41] Hong-Ju He,et al. Microbial evaluation of raw and processed food products by Visible/Infrared, Raman and Fluorescence spectroscopy , 2015 .
[42] Li-Rong Zheng,et al. An Internet-of-Things solution for food safety and quality control: A pilot project in China , 2016, J. Ind. Inf. Integr..
[43] Efstathios Z. Panagou,et al. Data mining derived from food analyses using non-invasive/non-destructive analytical techniques; determination of food authenticity, quality & safety in tandem with computer science disciplines , 2016 .
[44] Jee-Hyun Kim,et al. Food contamination monitoring via internet of things, exemplified by using pocket-sized immunosensor as terminal unit , 2016 .
[45] O. Paquet-Durand,et al. Optische Prozessanalysatoren für die Lebensmittelindustrie , 2016 .
[46] Ke Yang,et al. Novel developments in mobile sensing based on the integration of microfluidic devices and smartphones. , 2016, Lab on a chip.
[47] M. Nauta,et al. Relevance of microbial finished product testing in food safety management , 2016 .
[48] J. Wolfert,et al. Virtualization of food supply chains with the internet of things , 2016 .
[49] C. N. Verdouw,et al. A reference architecture for IoT-based logistic information systems in agri-food supply chains , 2018, Enterp. Inf. Syst..