Novel approaches for food safety management and communication

[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..