Novel PCR-Based Technology for the Detection of Sunflower in Edible and Used Cooking Oils
Reliable detection of sunflower (<i>Helianthus annuus</i>) in edible and used cooking oil (UCO) is crucial for the sustainable production of food and biodiesel. In this study, a variety of sunflower oils (crude, cold pressed, extra virgin, refined, and UCO) were examined using different...
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MDPI AG
2024-11-01
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| Series: | Foods |
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| Online Access: | https://www.mdpi.com/2304-8158/13/23/3760 |
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| author | Tamara Kutateladze Kakha Karchkhadze Kakha Bitskinashvili Boris Vishnepolsky Tata Ninidze David Mikeladze Nelly Datukishvili |
| author_facet | Tamara Kutateladze Kakha Karchkhadze Kakha Bitskinashvili Boris Vishnepolsky Tata Ninidze David Mikeladze Nelly Datukishvili |
| author_sort | Tamara Kutateladze |
| collection | DOAJ |
| description | Reliable detection of sunflower (<i>Helianthus annuus</i>) in edible and used cooking oil (UCO) is crucial for the sustainable production of food and biodiesel. In this study, a variety of sunflower oils (crude, cold pressed, extra virgin, refined, and UCO) were examined using different methods of DNA extraction and PCR amplification to develop an efficient technology for the identification of sunflower in oils. DNA extraction kits such as NucleoSpin Food, DNeasy mericon Food, and Olive Oil DNA Isolation as well as modified CTAB method were found to be able to isolate amplifiable genomic DNA from highly processed oils. Novel uniplex, double, and nested PCR systems targeting the sunflower-specific <i>helianthinin</i> gene were developed for efficient identification of sunflower. New sunflower DNA markers were revealed by uniplex PCRs. The combination of modified CTAB and nested PCR was demonstrated as a reliable, rapid, and cost-effective technology for detecting traces of sunflower in 700 μL of highly processed oil, including refined and used cooking oil. The study will contribute to both the food industry and the energy sector as developed methods can be used for oil authenticity testing in food and biodiesel production. |
| format | Article |
| id | doaj-art-ecc45f54d94b4f4c9720e686535c88e4 |
| institution | Kabale University |
| issn | 2304-8158 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Foods |
| spelling | doaj-art-ecc45f54d94b4f4c9720e686535c88e42024-12-13T16:26:31ZengMDPI AGFoods2304-81582024-11-011323376010.3390/foods13233760Novel PCR-Based Technology for the Detection of Sunflower in Edible and Used Cooking OilsTamara Kutateladze0Kakha Karchkhadze1Kakha Bitskinashvili2Boris Vishnepolsky3Tata Ninidze4David Mikeladze5Nelly Datukishvili6Ivane Beritashvili Center of Experimental Biomedicine, 14 Gotua Str., Tbilisi 0160, GeorgiaSchool of Natural Sciences and Medicine, Ilia State University, 3/5 Kakutsa Cholokashvili Ave., Tbilisi 0162, GeorgiaIvane Beritashvili Center of Experimental Biomedicine, 14 Gotua Str., Tbilisi 0160, GeorgiaIvane Beritashvili Center of Experimental Biomedicine, 14 Gotua Str., Tbilisi 0160, GeorgiaIvane Beritashvili Center of Experimental Biomedicine, 14 Gotua Str., Tbilisi 0160, GeorgiaIvane Beritashvili Center of Experimental Biomedicine, 14 Gotua Str., Tbilisi 0160, GeorgiaIvane Beritashvili Center of Experimental Biomedicine, 14 Gotua Str., Tbilisi 0160, GeorgiaReliable detection of sunflower (<i>Helianthus annuus</i>) in edible and used cooking oil (UCO) is crucial for the sustainable production of food and biodiesel. In this study, a variety of sunflower oils (crude, cold pressed, extra virgin, refined, and UCO) were examined using different methods of DNA extraction and PCR amplification to develop an efficient technology for the identification of sunflower in oils. DNA extraction kits such as NucleoSpin Food, DNeasy mericon Food, and Olive Oil DNA Isolation as well as modified CTAB method were found to be able to isolate amplifiable genomic DNA from highly processed oils. Novel uniplex, double, and nested PCR systems targeting the sunflower-specific <i>helianthinin</i> gene were developed for efficient identification of sunflower. New sunflower DNA markers were revealed by uniplex PCRs. The combination of modified CTAB and nested PCR was demonstrated as a reliable, rapid, and cost-effective technology for detecting traces of sunflower in 700 μL of highly processed oil, including refined and used cooking oil. The study will contribute to both the food industry and the energy sector as developed methods can be used for oil authenticity testing in food and biodiesel production.https://www.mdpi.com/2304-8158/13/23/3760sunflower detectionPCR technologygenomic DNA extractionedible oilused cooking oil |
| spellingShingle | Tamara Kutateladze Kakha Karchkhadze Kakha Bitskinashvili Boris Vishnepolsky Tata Ninidze David Mikeladze Nelly Datukishvili Novel PCR-Based Technology for the Detection of Sunflower in Edible and Used Cooking Oils Foods sunflower detection PCR technology genomic DNA extraction edible oil used cooking oil |
| title | Novel PCR-Based Technology for the Detection of Sunflower in Edible and Used Cooking Oils |
| title_full | Novel PCR-Based Technology for the Detection of Sunflower in Edible and Used Cooking Oils |
| title_fullStr | Novel PCR-Based Technology for the Detection of Sunflower in Edible and Used Cooking Oils |
| title_full_unstemmed | Novel PCR-Based Technology for the Detection of Sunflower in Edible and Used Cooking Oils |
| title_short | Novel PCR-Based Technology for the Detection of Sunflower in Edible and Used Cooking Oils |
| title_sort | novel pcr based technology for the detection of sunflower in edible and used cooking oils |
| topic | sunflower detection PCR technology genomic DNA extraction edible oil used cooking oil |
| url | https://www.mdpi.com/2304-8158/13/23/3760 |
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