Rapid Non-Invasive Capacitive Assessment of Extra Virgin Olive Oil Authenticity
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...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-01-01
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| Series: | Electronics |
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| Online Access: | https://www.mdpi.com/2079-9292/12/2/359 |
| _version_ | 1797443531117166592 |
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| author | Hari Krishna Salila Vijayalal Mohan Pyei Phyo Aung Chee Fong Ng Zheng Zheng Wong Andrew Alexander Malcolm |
| author_facet | Hari Krishna Salila Vijayalal Mohan Pyei Phyo Aung Chee Fong Ng Zheng Zheng Wong Andrew Alexander Malcolm |
| author_sort | Hari Krishna Salila Vijayalal Mohan |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T12:57:24Z |
| format | Article |
| id | doaj.art-f651158f521a48f4afdf88c6addd4035 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-09T12:57:24Z |
| publishDate | 2023-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-f651158f521a48f4afdf88c6addd40352023-11-30T21:59:22ZengMDPI AGElectronics2079-92922023-01-0112235910.3390/electronics12020359Rapid Non-Invasive Capacitive Assessment of Extra Virgin Olive Oil AuthenticityHari Krishna Salila Vijayalal Mohan0Pyei Phyo Aung1Chee Fong Ng2Zheng Zheng Wong3Andrew Alexander Malcolm4Intelligent Product Verification (IPV), Advanced Remanufacturing and Technology Centre (ARTC), Agency for Science, Technology and Research (A*STAR), 3 Cleantech Loop, CleanTech Two, Singapore 637143, SingaporeIntelligent Product Verification (IPV), Advanced Remanufacturing and Technology Centre (ARTC), Agency for Science, Technology and Research (A*STAR), 3 Cleantech Loop, CleanTech Two, Singapore 637143, SingaporeIntelligent Product Verification (IPV), Advanced Remanufacturing and Technology Centre (ARTC), Agency for Science, Technology and Research (A*STAR), 3 Cleantech Loop, CleanTech Two, Singapore 637143, SingaporeIntelligent Product Verification (IPV), Advanced Remanufacturing and Technology Centre (ARTC), Agency for Science, Technology and Research (A*STAR), 3 Cleantech Loop, CleanTech Two, Singapore 637143, SingaporeIntelligent Product Verification (IPV), Advanced Remanufacturing and Technology Centre (ARTC), Agency for Science, Technology and Research (A*STAR), 3 Cleantech Loop, CleanTech Two, Singapore 637143, SingaporeEconomically 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.https://www.mdpi.com/2079-9292/12/2/359non-invasivecapacitanceadulterationedible oilFMCG |
| spellingShingle | Hari Krishna Salila Vijayalal Mohan Pyei Phyo Aung Chee Fong Ng Zheng Zheng Wong Andrew Alexander Malcolm Rapid Non-Invasive Capacitive Assessment of Extra Virgin Olive Oil Authenticity Electronics non-invasive capacitance adulteration edible oil FMCG |
| title | Rapid Non-Invasive Capacitive Assessment of Extra Virgin Olive Oil Authenticity |
| title_full | Rapid Non-Invasive Capacitive Assessment of Extra Virgin Olive Oil Authenticity |
| title_fullStr | Rapid Non-Invasive Capacitive Assessment of Extra Virgin Olive Oil Authenticity |
| title_full_unstemmed | Rapid Non-Invasive Capacitive Assessment of Extra Virgin Olive Oil Authenticity |
| title_short | Rapid Non-Invasive Capacitive Assessment of Extra Virgin Olive Oil Authenticity |
| title_sort | rapid non invasive capacitive assessment of extra virgin olive oil authenticity |
| topic | non-invasive capacitance adulteration edible oil FMCG |
| url | https://www.mdpi.com/2079-9292/12/2/359 |
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