NIR Hyperspectral Imaging Methods for Quality and Safety Control of Food and Feed Products: Contributions to Four European Projects

NIR news ◽  
2010 ◽  
Vol 21 (6) ◽  
pp. 10-13 ◽  
Author(s):  
Vincent Baeten ◽  
Juan Antonio Fernández Pierna ◽  
Philippe Vermeulen ◽  
Pierre Dardenne
2013 ◽  
Vol 48 (2) ◽  
pp. 142-159 ◽  
Author(s):  
Laura M. Dale ◽  
André Thewis ◽  
Christelle Boudry ◽  
Ioan Rotar ◽  
Pierre Dardenne ◽  
...  

NIR news ◽  
2018 ◽  
Vol 29 (8) ◽  
pp. 19-23 ◽  
Author(s):  
Hongzhe Jiang ◽  
Wei Wang ◽  
Xinzhi Ni ◽  
Hong Zhuang ◽  
Seung-Chul Yoon ◽  
...  

Near infrared spectroscopy and hyperspectral imaging are fast-growing, rapid, powerful, and non-destructive optical technologies that can be used especially in quality and safety control of agro-food products. The Non-destructive Detecting Laboratory for Agricultural and Food Products in the College of Engineering, China Agricultural University in Beijing, China, has engaged in research on sensing and characterizing agro-food quality and safety attributes with the latest optical methods including near infrared spectroscopy and hyperspectral imaging for over five years. In this report, some of our latest research and developments through multidisciplinary international collaborations will be highlighted to demonstrate our contributions to this near infrared spectroscopy and hyperspectral imaging sensing area to improve non-destructive diagnosis and quality control of agricultural and food products.


2019 ◽  
Vol 2019 (6) ◽  
pp. 15-23 ◽  
Author(s):  
Игорь Иванов ◽  
Igor' Ivanov

The article presents main approaches to provision of quality and safety of medical organization’s activities. The main attention is focused on the issues of implementation of the Suggestions (recommended practice) of Roszdravnadzor on organization of the internal quality and safety control of medical activities, as well as particular points of the Order of June 7, 2019 No. 381n “On Approval of Requirements for organization and conduction internal control of the quality and safety of medical care in hospitals”.


2013 ◽  
Vol 140 ◽  
pp. 57-64 ◽  
Author(s):  
Edita Garskaite ◽  
Andreas S. Flø ◽  
Antonius T.J. van Helvoort ◽  
Aivaras Kareiva ◽  
Espen Olsen

2009 ◽  
pp. 129-136
Author(s):  
Teresa Babuscio

- Food controls are a key issue within the European food safety arena. Since 2002 the legislator is constantly improving the control system in order to better achieve the high safety principles contained in the European regulation n.178 and the network set up in it. Thus, the regulation n. 882/2004 is specifically dedicated to food safety controls: it is the main piece of legislation concerning this aspect as it has been adopted by the co-decisions procedure which involves the European Parliament and the Council. Despite that, it left some "white" spaces to be filled by the implementing measures adopted within the so called comitology procedure in which it is the Commission to act as a co-regulator. The latter is currently implementing art. 15.5. of the regulation n. 882/2004 to set up a system of increased controls for food and feed. Key words: food safety; control system; regulation n. 882/2004.


2021 ◽  
Vol 2 (43) ◽  
pp. 54-61
Author(s):  
Dmitriy A. Burynin ◽  
◽  
Aleksandr A. Smirnov

Portable spectroradiometers and hyperspectral cameras are increasingly being used to quickly assess the physiological state of plants. The operation of these devices is based on the registration of reflection or reflection and transmission spectra. (Research purpose) The research purpose is in analyzing the technical means and methods of non-invasive monitoring of the plant state based on the registration of the reflection spectra of leaves. (Materials and methods) The article presents a review of the work on the application of hyperspectral imaging methods. Authors classified and analyzed materials on spectroscopic radiometers and hyperspectral cameras, and outlined the prospects for implementation. Authors applied the methods of a systematic approach to the research problem. (Results and discussion) Hyperspectral imaging methods serve as an effective means of monitoring plants. It is possible to determine the pigment composition of plants, lack of nutrition, and detect biotic stress through hyperspectral imaging. The article presents methods of application of portable spectroradiometers and hyperspectral cameras. With the help of these devices it is possible to carry out measurements with high spectral resolution. The difficulty of accurately detecting the content of pigments in the leaves lies in the mutual overlap of the areas of light absorption by them. The main drawback of spectroradiometers is that they measure only at one point on a single sheet. The article presents the difficulties encountered in interpreting the results obtained by the hyperspectral camera. The background reflectivity of the soil, the geometry of the vegetation cover, and the uneven lighting can make errors in the measurements. (Conclusions) The article presents the disadvantages of the hyperspectral imaging method when using only the reflection spectrum. In order to increase the accuracy of the determination of pigments and stresses of various origins, it is necessary to develop a portable device that combines the methods of recording reflection and fluorescence.


2018 ◽  
Vol 5 (1) ◽  
pp. 3 ◽  
Author(s):  
Yaniv Oiknine ◽  
Isaac August ◽  
Vladimir Farber ◽  
Daniel Gedalin ◽  
Adrian Stern

Hyperspectral (HS) imaging involves the sensing of a scene’s spectral properties, which are often redundant in nature. The redundancy of the information motivates our quest to implement Compressive Sensing (CS) theory for HS imaging. This article provides a review of the Compressive Sensing Miniature Ultra-Spectral Imaging (CS-MUSI) camera, its evolution, and its different applications. The CS-MUSI camera was designed within the CS framework and uses a liquid crystal (LC) phase retarder in order to modulate the spectral domain. The outstanding advantage of the CS-MUSI camera is that the entire HS image is captured from an order of magnitude fewer measurements of the sensor array, compared to conventional HS imaging methods.


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