Regional Food Safety Testing Risk Analysis and Early Warning Research

2020 ◽  
pp. 1135-1142
Author(s):  
Guiling Li ◽  
Xiaomin Shang ◽  
Qiong Liu
Keyword(s):  
Food Safety ◽  
Risk Analysis ◽  
Early Warning ◽  
Safety Testing ◽  
Regional Food

Deep Structured Learning for Natural Language Processing

2021 ◽  
Vol 20 (3) ◽  
pp. 1-14
Author(s):  
Yong Li ◽  
Xiaojun Yang ◽  
Min Zuo ◽  
Qingyu Jin ◽  
Haisheng Li ◽  
...  
Keyword(s):  
Public Opinion ◽  
Food Safety ◽  
Language Processing ◽  
Early Warning ◽  
Conditional Random Field ◽  
Semantic Features ◽  
Related Sequence ◽  
The Public ◽  
Network Public Opinion

The real-time and dissemination characteristics of network information make net-mediated public opinion become more and more important food safety early warning resources, but the data of petabyte (PB) scale growth also bring great difficulties to the research and judgment of network public opinion, especially how to extract the event role of network public opinion from these data and analyze the sentiment tendency of public opinion comment. First, this article takes the public opinion of food safety network as the research point, and a BLSTM-CRF model for automatically marking the role of event is proposed by combining BLSTM and conditional random field organically. Second, the Attention mechanism based on vocabulary in the field of food safety is introduced, the distance-related sequence semantic features are extracted by BLSTM, and the emotional classification of sequence semantic features is realized by using CNN. A kind of Att-BLSTM-CNN model for the analysis of public opinion and emotional tendency in the field of food safety is proposed. Finally, based on the time series, this article combines the role extraction of food safety events and the analysis of emotional tendency and constructs a net-mediated public opinion early warning model in the field of food safety according to the heat of the event and the emotional intensity of the public to food safety public opinion events.

scholarly journals Food safety risk analysis from the producers' perspective: prioritisation of production process stages by HACCP and TOPSIS

2018 ◽  
Vol 17 (4) ◽  
pp. 396 ◽  
Author(s):  
Antonella Certa ◽  
Mario Enea ◽  
Giacomo Maria Galante ◽  
Joaquín Izquierdo ◽  
Concetta Manuela La Fata
Keyword(s):  
Food Safety ◽  
Risk Analysis ◽  
Production Process ◽  
Safety Risk ◽  
Food Safety Risk

scholarly journals Cannabis microbiome sequencing reveals several mycotoxic fungi native to dispensary grade Cannabis flowers

F1000Research ◽  
2016 ◽  
Vol 4 ◽  
pp. 1422 ◽  
Author(s):  
Kevin McKernan ◽  
Jessica Spangler ◽  
Lei Zhang ◽  
Vasisht Tadigotla ◽  
Yvonne Helbert ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Food Safety ◽  
Agricultural Products ◽  
Third Party ◽  
Fungal Communities ◽  
Regulatory Requirement ◽  
Safety Testing ◽  
Food Borne ◽  
Generation Sequencing ◽  
The U.S

The Center for Disease Control estimates 128,000 people in the U.S. are hospitalized annually due to food borne illnesses. This has created a demand for food safety testing targeting the detection of pathogenic mold and bacteria on agricultural products. This risk extends to medicalCannabisand is of particular concern with inhaled, vaporized and even concentratedCannabisproducts.As a result, third party microbial testing has become a regulatory requirement in the medical and recreationalCannabismarkets, yet knowledge of theCannabismicrobiome is limited. Here we describe the first next generation sequencing survey of the fungal communities found in dispensary basedCannabisflowers by ITS2 sequencing, and demonstrate the sensitive detection of several toxigenicPenicilliumandAspergillusspecies, includingP. citrinum and P. paxilli,that were not detected by one or more culture-based methods currently in use for safety testing.

scholarly journals Study on microbial detection technology in food safety

2021 ◽  
Vol 233 ◽  
pp. 02029
Author(s):  
Xindi Zhang
Keyword(s):  
Food Safety ◽  
Rapid Development ◽  
Enzyme Linked Immunosorbent Assay ◽  
Safety Testing ◽  
Microbial Detection ◽  
Detection Technology ◽  
Atp Bioluminescence ◽  
Quality Of Food

Economic development has not only led to the steady development of the gross national economy, but also provided a fundamental guarantee for the life of the residents at this stage. However, with the rapid development of economy, people’s attention to hidden safety problems has gradually shifted from big problems to “small details” of food safety. At the same time, in order to reduce the health problems of consumers in the process of eating products, we should start from the source of food, and use microbial technology in the current food safety testing, so as to fundamentally improve the quality of food safety. At present, PCR, impedance, ATP bioluminescence, lamp and enzyme-linked immunosorbent assay are widely used. In this paper, the role of microbial detection technology was described, and the application of microbial detection technology in food safety detection was analyzed in depth, hoping to provide a reference for ensuring food safety through the promotion of microbial detection technology.

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