An Overview of Signal Processing for Food Inspection [Applications Corner]
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paper_title: Dietary intake of acrylamide in Sweden.

paper_content:

High levels of acrylamide have been found in foods heated at high temperatures, especially in carbohydrate rich foods. Several kinds of foods (industrially produced) representing different food/product groups available on the Swedish market have been analysed for acrylamide. A considerable variation in levels of acrylamide between single foodstuffs (different brands) within food categories were found, which also applies for levels in different food categories. Using recent Swedish food consumption data the dietary intake of acrylamide for the Swedish adult population was assessed based on foodstuffs with low to high levels of acrylamide (<30-2300 microg/kg), such as processed potato products, bread, breakfast cereals, biscuits, cookies, snacks and coffee. The estimated dietary intake of acrylamide per person (total population) given as the 5th, 50th and 95th percentile were 9.1, 27 and 62 microg/day respectively, from those food/product groups (mean 31 microg/day). No acrylamide was found in many other foodstuffs analysed and those were therefore not included in the dietary intake assessment of acrylamide. However, an additional minor contribution of a few microg/day of acrylamide from foods/products like poultry, meat, fish, cocoa powder and chocolates cannot be excluded. An average daily intake of 35 microg corresponds to 0.5 microg per kg body weight and day (body weight 70 kg). Risk assessments of acrylamide, made by US EPA and WHO, imply that this dietary intake of acrylamide could be associated with potential health risks.
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Title: An Overview of Signal Processing for Food Inspection [Applications Corner]

Section 1: PISTACHIO SORTING
Description 1: Discuss methods and technologies used for sorting pistachio nuts based on shell condition, including acoustic-based techniques and their classification accuracy.

Section 2: SIGNAL PROCESSING CHALLENGES
Description 2: Address the primary challenges in signal processing for food inspection, including noise reduction, training schemes, and methods for improving accuracy.

Section 3: WHEAT INSPECTION
Description 3: Detail the technologies and challenges involved in detecting insect infestation in wheat kernels, comparing bulk sample analysis and single kernel inspection methods.

Section 4: MYCOTOXIN DETECTION
Description 4: Explain techniques for detecting mycotoxins in agricultural products, focusing on optical sorters, spectral band selection, and the economic impact of mycotoxin contamination.

Section 5: ACRYLAMIDE DETECTION
Description 5: Explore image processing methods for detecting acrylamide in fried potato products, including the correlation between color and acrylamide levels and the use of real-time imaging systems in production lines.

Section 6: CONCLUSIONS
Description 6: Summarize the opportunities and future directions for applying signal processing in agriculture, emphasizing the need for automated equipment and machine learning algorithms for feature extraction and classification.