Development of Metallic Contaminant Detection System Using RF High-Tc SQUIDs for Food Inspection

التفاصيل البيبلوغرافية
العنوان: Development of Metallic Contaminant Detection System Using RF High-Tc SQUIDs for Food Inspection
المؤلفون: Takeyoshi Ohtani, S. Suzuki, Y. Narita, Yoshimi Hatsukade, Saburo Tanaka
المصدر: IEEE Transactions on Applied Superconductivity. 25:1-4
بيانات النشر: Institute of Electrical and Electronics Engineers (IEEE), 2015.
سنة النشر: 2015
مصطلحات موضوعية: Superconductivity, Materials science, business.industry, Detector, Contamination, Condensed Matter Physics, Steel ball, Noise (electronics), Electronic, Optical and Magnetic Materials, Metal, visual_art, Food inspection, Quantum interference, visual_art.visual_art_medium, Optoelectronics, Electrical and Electronic Engineering, business
الوصف: In this study, we developed a practical magnetic metallic contaminant detector using three high-Tc RF superconducting quantum interference devices (SQUIDs) for food inspection. Finding small metallic contaminants is important for food safety. When contamination occurs, the manufacturer of the product suffers a great loss to recall the tainted products. Therefore we developed a practical food contaminant detection system based on high-Tc RF SQUIDs. The system was covered with waterproof stainless steel plates, and the outer dimensions of the system were 2450 mm (W) × 714 mm (D) × 1555 mm (H). An acceptable inspected object size was 150 mm (W) × 100 mm (H), which is sufficiently large for practical food inspection. A digital filtering technique has been newly introduced to reduce noise. As a result, the signal-to-noise ratio (SNR) was dramatically improved, and we were able to robustly detect a steel ball as small as 0.3 mm in diameter.
تدمد: 1558-2515
1051-8223
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::99f7ca3004d0b79b8a6ff97a704fe760
https://doi.org/10.1109/tasc.2014.2361893
حقوق: CLOSED
رقم الأكسشن: edsair.doi...........99f7ca3004d0b79b8a6ff97a704fe760
قاعدة البيانات: OpenAIRE