Mikroscopie der nahrungs- und genussmittel aus dem pflanzenreiche.

Mode of access: Internet.

Official inspections - The Maine Agricultural Experiment Station.

Biological abstracts

Dictionnaire des altérations et falsifications des substances alimentaires, médicamenteuses et commerciales,

Mode of access: Internet.

Report

At head of title, 1910-14: Agricultural Experiment Station, University of Nevada; 1915-16: Public Service Division, University of Nevada

Pure products.

"Conducted exclusively in the interest of science and research as applied to the general food and beverage industries and to practical information for those industries" (varies slightly)

Application of Independent Components Analysis with the JADE algorithm and NIR hyperspectral imaging for revealing food adulteration

In recent years, Independent Components Analysis (ICA) has proven itself to be a powerful signal-processing technique for solving the Blind-Source Separation (BSS) problems in different scientific domains. In the present work, an application of ICA for processing NIR hyperspectral images to detect traces of peanut in wheat flour is presented. Processing was performed without a priori knowledge of the chemical composition of the two food materials. The aim was to extract the source signals of the different chemical components from the initial data set and to use them in order to determine the distribution of peanut traces in the hyperspectral images. To determine the optimal number of independent component to be extracted, the Random ICA by blocks method was used. This method is based on the repeated calculation of several models using an increasing number of independent components after randomly segmenting the matrix data into two blocks and then calculating the correlations between the signals extracted from the two blocks. The extracted ICA signals were interpreted and their ability to classify peanut and wheat flour was studied. Finally, all the extracted ICs were used to construct a single synthetic signal that could be used directly with the hyperspectral images to enhance the contrast between the peanut and the wheat flours in a real multi-use industrial environment. Furthermore, feature extraction methods (connected components labelling algorithm followed by flood fill method to extract object contours) were applied in order to target the spatial location of the presence of peanut traces. A good visualization of the distributions of peanut traces was thus obtained

The application of X-ray examination and inspection to: castings ... welding ... food products ... X-ray diffraction.

Cover-title: Industrial applications of the X-ray.

The food of London: a sketch of the chief varieties, sources of supply, probable quantities, modes of arrival, processes of manufacture, suspected adulteration, and machinery of distribution, of the food for a community of two millions and a half. -

Mode of access: Internet.

Food safety and development of the beef industry in China

Food safety concerns have escalated in China as they have elsewhere, especially in relation to meats. Beef production and consumption has increased proportionately faster than all other meats over the last two decades. Yet the slaughtering, processing and marketing of beef remains, for the most part, extremely primitive when compared with Western beef supply chains. By comparing the economics of household slaughtering with that of various types of abattoirs, this paper explains why household slaughtering and wet markets still dominate beef processing and distribution in China. The negative economic, social and industry development implications of enforcing more stringent food safety regulations are highlighted. The willingness/capacity of consumers to pay the added cost of better inspection and other services to guarantee food safety is investigated. In this context, the paper also evaluates the market opportunities for both domestic and imported Green Beef. The paper questions the merit of policy initiatives aimed at modernising Chinese beef supply chains for the mass market along Western lines. (C) 2002 Elsevier Science Ltd. All rights reserved.

Agriculture, Rural Development, Food and Drug Administration, and related agencies appropriations for 2013 : hearings before a Subcommittee of the Committee on Appropriations, House of Representatives, One Hundred Twelfth Congress, second session /

Shipping list no.: 2012-0266-P (pt. 1A), 2012-0262-P (pt. 1B), 2012-0267-P (pt. 1C), 2012-0317-P (pt. 2), 2013-0006 (pt. 3), 2013-0008-P (pt. 4), 2013-0027-P (pt. 5), 2013-0033-P (pt. 6), 2013-0042-P (pt. 7), 2013-0038-P (pt. 9).

Travelers' tips on bringing food, plant, and animal products into the United States.

Mode of access: Internet.

Travelers' tips on bringing food, plant, and animal products into the United States.

Cover title.

Travelers' tips on bringing food, plant, and animal products into the United States.

Mode of access: Internet.

Travelers' tips on bringing food, plant, and animal products into the United States.

Cover title.

Point-and-shoot: rapid quantitative detection methods for on-site food fraud analysis – moving out of the laboratory and into the food supply chain

Major food adulteration and contamination events occur with alarming regularity and are known to be episodic, with the question being not if but when another large-scale food safety/integrity incident will occur. Indeed, the challenges of maintaining food security are now internationally recognised. The ever increasing scale and complexity of food supply networks can lead to them becoming significantly more vulnerable to fraud and contamination, and potentially dysfunctional. This can make the task of deciding which analytical methods are more suitable to collect and analyse (bio)chemical data within complex food supply chains, at targeted points of vulnerability, that much more challenging. It is evident that those working within and associated with the food industry are seeking rapid, user-friendly methods to detect food fraud and contamination, and rapid/high-throughput screening methods for the analysis of food in general. In addition to being robust and reproducible, these methods should be portable and ideally handheld and/or remote sensor devices, that can be taken to or be positioned on/at-line at points of vulnerability along complex food supply networks and require a minimum amount of background training to acquire information rich data rapidly (ergo point-and-shoot). Here we briefly discuss a range of spectrometry and spectroscopy based approaches, many of which are commercially available, as well as other methods currently under development. We discuss a future perspective of how this range of detection methods in the growing sensor portfolio, along with developments in computational and information sciences such as predictive computing and the Internet of Things, will together form systems- and technology-based approaches that significantly reduce the areas of vulnerability to food crime within food supply chains. As food fraud is a problem of systems and therefore requires systems level solutions and thinking.