Approaches to foreign body detection in foods

Graves, Mark; Smith, A. T.; Batchelor, Bruce G.

doi:10.1016/s0924-2244(97)00003-4

Cited by 93 publications

(49 citation statements)

References 15 publications

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“…If a conductive sample passes a receiver coil, the magnetic field is distorted. In this case the voltage is not equal to zero [9][10][11]. The measured voltage represents the same information as the impedance [12].…”

Section: Methodsmentioning

confidence: 99%

Development of an impedance measurement system for the detection of decay of apples

Euring

Ruß

Wilke

et al. 2011

Procedia Food Science

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Main objective was the development of a non-contact measurement technique to determine the decayed proportion of apples. Using impedance measurements enables measuring the proportion of damaged cells in biological tissue depending on the frequency. The measurements with the coil system showed dependence on the mass and on the apple variety. With increasing decay the voltage signal also increased. Healthy apples can be distinguished statistically sure of partially decayed apples from a decayed part of 16.3%. It did not matter if the variety was considered.

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Section: Methodsmentioning

confidence: 99%

Development of an impedance measurement system for the detection of decay of apples

Euring

Ruß

Wilke

et al. 2011

Procedia Food Science

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“…Usually, the term "foreign body" refers to any unwanted objects in food, even if it comes from the same product (i.e. meat products containing bones, fruit products containing seeds) (Graves et al 1998). Foreign materials in foods (glass, plastic, metal, etc.…”

Section: Introductionmentioning

confidence: 99%

The Risk Analysis of Metallic Foreign Bodies in Food Products

Trafiałek

Kaczmarek

Kolanowski

2016

Journal of Food Quality

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The aim of this study was to elaborate and validate the risk analysis procedure of metallic foreign bodies' occurrence in food. The enterprise selected for the study was a company processing dry foods. The procedure was based on Failure Mode and Effect Analysis. The implementation of the procedure allowed to find two production stages at risk of metallic particles' contamination, which were: reception of raw materials into the plant and packaging of finished products. The group of products at the highest risk of contamination was: buckwheat, prunes, brown cane sugar, brown flax and "tropical" muesli. The methods of risk management and the risk communication were established. The procedure may be a convenient tool for better food safety assurance and can be used in many food processing enterprises where the risk of metallic foreign bodies' occurrence in finished products is high. PRACTICAL APPLICATIONSMetallic foreign bodies are common in some kinds of food. Occurrence of metallic foreign bodies significantly decreases food safety. The procedure elaborated and validated in this study is based on Failure Mode and Effect Analysis. The implementation of the procedure allows to find production stages at risk of metallic particles' contamination. The procedure may be a convenient tool for better food safety assurance and can be used in many food processing enterprises where the risk of metallic foreign bodies' occurrence in finished products is high.

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“…For general overview papers and books on sorting systems (not specifi cally just for nuts), there are a number of review articles and books available summarizing the various techniques for detection of defective products and contaminants in food, and discussions on how they are incorporated into automated sorting systems (Abbott et al 1997;Abbott 1999;Bee & Honeywood 2004;Butz et al 2005;Edwards et al 2004;Graves et al 1998;Haff & Toyofuku 2008;Jha & Matsuoka 2000;Ruiz-Altisent et al 2010). This chapter focuses on novel systems using visible light, near infrared (NIR), or acoustic input as the data for decision making which have been recently developed as economical alternatives to more costly commercially available systems that have been traditionally used in the industry.…”

Section: Introductionmentioning

confidence: 99%