Rapid Non-Invasive Capacitive Assessment of Extra Virgin Olive Oil Authenticity

被引:5
作者
Mohan, Hari Krishna Salila Vijayalal [1 ]
Aung, Pyei Phyo [1 ]
Ng, Chee Fong [1 ]
Wong, Zheng Zheng [1 ]
Malcolm, Andrew Alexander [1 ]
机构
[1] Adv Remfg & Technol Ctr ARTC, Agcy Sci & Technol & Res ASTAR, Intelligent Prod Verificat IPV, 3 Cleantech Loop,CleanTech Two, Singapore 637143, Singapore
关键词
non-invasive; capacitance; adulteration; edible oil; FMCG; ECONOMICALLY MOTIVATED ADULTERATION; VEGETABLE-OILS; EDIBLE OILS; DIELECTRIC-PROPERTIES; MOISTURE-CONTENT; QUALITY; SPECTROSCOPY; FTIR; QUANTIFICATION; CLASSIFICATION;
D O I
10.3390/electronics12020359
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Economically motivated adulteration (EMA) and/or cross-contamination are the two major factors resulting in the substandard quality of premium edible oil like extra virgin olive oil (EVOO) produced in food and beverage (F&B) fast-moving consumer goods (FMCG) industries. Current quality assurance methods (e.g., spectroscopy and chromatography) in FMCG involve intrusive sample extraction and ex situ analysis in a laboratory using expensive bulky instrumentation, which is neither integrable inline nor scalable to match the production throughput. Such techniques do not meet the industrial requirements of in situ testing, non-intrusive analysis, and high throughput inspection (100% product verification) leading to food loss and package waste from unwanted batch rejects. Herein, a low-cost electrical approach based on capacitance is proposed to show the proof of concept for screening EVOO-filled containers non-invasively for adulteration without any sample extraction by capturing the differences in the dielectric properties of mixed oils. The sensor system displayed a fast response (100 ms) and low detection limits for different adulterants (olive oil (32.8%), canola oil (19.4%), soy oil (10.3%) and castor oil (1.7%)), which is suitable for high-throughput (>60 sample/min) screening. Furthermore, a low-cost automated system prototype was realized to showcase the possibility of translating the proof of concept for possible scaling up and inline integration.
引用
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页数:25
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