In-House Validation of Four Duplex Droplet Digital PCR Assays to Quantify GM Soybean Events
Due to the increasing number of authorized events in the European Union, it is crucial for the official laboratories to enforce market control to detect and quantify genetically modified organisms. In this study, an in-house validation of quantitative duplex ddPCR methods was performed involving MON...
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MDPI AG
2024-12-01
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| Series: | Foods |
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| Online Access: | https://www.mdpi.com/2304-8158/13/24/4011 |
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| author | Daniela Verginelli Sara Ciuffa Katia Spinella Davide La Rocca Marisa Misto Cinzia Quarchioni Pamela Bonini Cristiana Fusco Lorella Peroni Stefania Peddis Ugo Marchesi |
| author_facet | Daniela Verginelli Sara Ciuffa Katia Spinella Davide La Rocca Marisa Misto Cinzia Quarchioni Pamela Bonini Cristiana Fusco Lorella Peroni Stefania Peddis Ugo Marchesi |
| author_sort | Daniela Verginelli |
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| description | Due to the increasing number of authorized events in the European Union, it is crucial for the official laboratories to enforce market control to detect and quantify genetically modified organisms. In this study, an in-house validation of quantitative duplex ddPCR methods was performed involving MON87701, MON87769, MON89788 and CV-127-9 assays with respect to the lectin reference gene. Since the ddPCR methods provide accurate quantification, show less sensitivity to PCR inhibitors and are more suitable for multiplexing compared to the real-time PCR, the optimization of the existing assays was performed with the exception of MON87701, according to the JRC Guidance documents and technical reports. However, some concerns related to practical settings for the quantitative multiplex of ddPCR methods and their validation were encountered; therefore, a general workflow to develop and validate a ddPCR-based method is shown. The obtained data and the validation performance parameters such as specificity, cross-talk, robustness, dynamic range, linearity, the limit of quantification, trueness and precision comply with international recommendations for GMO quantification methods. The duplex ddPCR methods here investigated are equivalent in terms of performance compared to the singleplex real-time PCR methods, showing higher flexibility and cost effectiveness. |
| format | Article |
| id | doaj-art-cfb6d82319b14b4ea25157329b921ed9 |
| institution | Kabale University |
| issn | 2304-8158 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
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| series | Foods |
| spelling | doaj-art-cfb6d82319b14b4ea25157329b921ed92024-12-27T14:26:14ZengMDPI AGFoods2304-81582024-12-011324401110.3390/foods13244011In-House Validation of Four Duplex Droplet Digital PCR Assays to Quantify GM Soybean EventsDaniela Verginelli0Sara Ciuffa1Katia Spinella2Davide La Rocca3Marisa Misto4Cinzia Quarchioni5Pamela Bonini6Cristiana Fusco7Lorella Peroni8Stefania Peddis9Ugo Marchesi10National Reference Laboratory for GM Food and Feed, GMO Unit, Istituto Zooprofilattico Sperimentale del Lazio e della Toscana “Mariano Aleandri”, 00178 Rome, ItalyNational Reference Laboratory for GM Food and Feed, GMO Unit, Istituto Zooprofilattico Sperimentale del Lazio e della Toscana “Mariano Aleandri”, 00178 Rome, ItalyNational Reference Laboratory for GM Food and Feed, GMO Unit, Istituto Zooprofilattico Sperimentale del Lazio e della Toscana “Mariano Aleandri”, 00178 Rome, ItalyNational Reference Laboratory for GM Food and Feed, GMO Unit, Istituto Zooprofilattico Sperimentale del Lazio e della Toscana “Mariano Aleandri”, 00178 Rome, ItalyNational Reference Laboratory for GM Food and Feed, GMO Unit, Istituto Zooprofilattico Sperimentale del Lazio e della Toscana “Mariano Aleandri”, 00178 Rome, ItalyNational Reference Laboratory for GM Food and Feed, GMO Unit, Istituto Zooprofilattico Sperimentale del Lazio e della Toscana “Mariano Aleandri”, 00178 Rome, ItalyNational Reference Laboratory for GM Food and Feed, GMO Unit, Istituto Zooprofilattico Sperimentale del Lazio e della Toscana “Mariano Aleandri”, 00178 Rome, ItalyNational Reference Laboratory for GM Food and Feed, GMO Unit, Istituto Zooprofilattico Sperimentale del Lazio e della Toscana “Mariano Aleandri”, 00178 Rome, ItalyNational Reference Laboratory for GM Food and Feed, GMO Unit, Istituto Zooprofilattico Sperimentale del Lazio e della Toscana “Mariano Aleandri”, 00178 Rome, ItalyNational Reference Laboratory for GM Food and Feed, GMO Unit, Istituto Zooprofilattico Sperimentale del Lazio e della Toscana “Mariano Aleandri”, 00178 Rome, ItalyNational Reference Laboratory for GM Food and Feed, GMO Unit, Istituto Zooprofilattico Sperimentale del Lazio e della Toscana “Mariano Aleandri”, 00178 Rome, ItalyDue to the increasing number of authorized events in the European Union, it is crucial for the official laboratories to enforce market control to detect and quantify genetically modified organisms. In this study, an in-house validation of quantitative duplex ddPCR methods was performed involving MON87701, MON87769, MON89788 and CV-127-9 assays with respect to the lectin reference gene. Since the ddPCR methods provide accurate quantification, show less sensitivity to PCR inhibitors and are more suitable for multiplexing compared to the real-time PCR, the optimization of the existing assays was performed with the exception of MON87701, according to the JRC Guidance documents and technical reports. However, some concerns related to practical settings for the quantitative multiplex of ddPCR methods and their validation were encountered; therefore, a general workflow to develop and validate a ddPCR-based method is shown. The obtained data and the validation performance parameters such as specificity, cross-talk, robustness, dynamic range, linearity, the limit of quantification, trueness and precision comply with international recommendations for GMO quantification methods. The duplex ddPCR methods here investigated are equivalent in terms of performance compared to the singleplex real-time PCR methods, showing higher flexibility and cost effectiveness.https://www.mdpi.com/2304-8158/13/24/4011GMOvalidationddPCRsoybeanmeasurement uncertainty |
| spellingShingle | Daniela Verginelli Sara Ciuffa Katia Spinella Davide La Rocca Marisa Misto Cinzia Quarchioni Pamela Bonini Cristiana Fusco Lorella Peroni Stefania Peddis Ugo Marchesi In-House Validation of Four Duplex Droplet Digital PCR Assays to Quantify GM Soybean Events Foods GMO validation ddPCR soybean measurement uncertainty |
| title | In-House Validation of Four Duplex Droplet Digital PCR Assays to Quantify GM Soybean Events |
| title_full | In-House Validation of Four Duplex Droplet Digital PCR Assays to Quantify GM Soybean Events |
| title_fullStr | In-House Validation of Four Duplex Droplet Digital PCR Assays to Quantify GM Soybean Events |
| title_full_unstemmed | In-House Validation of Four Duplex Droplet Digital PCR Assays to Quantify GM Soybean Events |
| title_short | In-House Validation of Four Duplex Droplet Digital PCR Assays to Quantify GM Soybean Events |
| title_sort | in house validation of four duplex droplet digital pcr assays to quantify gm soybean events |
| topic | GMO validation ddPCR soybean measurement uncertainty |
| url | https://www.mdpi.com/2304-8158/13/24/4011 |
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