Development of Liquid Chromatography-Mass Spectrometry (LC-MS) Method for Quantification of Broccoli Sulforaphane
dc.contributor.author | Ali Redha, A | |
dc.contributor.author | Hong, HT | |
dc.contributor.author | Torquati, L | |
dc.contributor.author | Nash, GR | |
dc.contributor.author | Gidley, MJ | |
dc.contributor.author | Cozzolino, D | |
dc.date.accessioned | 2023-11-03T09:37:31Z | |
dc.date.issued | 2023-11-02 | |
dc.date.updated | 2023-11-03T06:14:11Z | |
dc.description.abstract | Sulforaphane (SFN) is an isothiocyanate and the product of the hydrolysis of glucoraphanin (GRA) by myrosinase. Broccoli is one of the rich sources of GRA and thus SFN. SFN possess a wide range of bioactivities and is considered an anti-cancer phytochemical. Most of the current common methods used to quantify SFN are based on high-pressure liquid chromatography (HPLC) with diode array detection (DAD) — also known as HPLC-DAD. Although this technique has shown encouraging results, the detection of SFN by DAD is relatively weak and affected by high interference of sample matrices. Therefore, the aim of this study was to develop a liquid chromatography-mass spectrometry (LC-MS) method in which SFN is identified by molecular mass to give more accurate results. The developed method demonstrated a highly reproducible retention time (7.204 ± 0.008 min), producing a sharp, symmetrical and well-defined sulforaphane peak in standard and test samples. The most dominant ion of sulforaphane in the pure and test samples was 178 m/z ([M + H]^+). In terms of linearity, the calibration curve had a coefficient of determination (R^2) of 0.9963. The limit of detection of this method is 1.3 ng/mL, and the limit of quantification is 3.9 ng/mL, indicating high sensitivity. The uniformity of peak shape and retention time in both pure and test samples were the same suggesting excellent selectivity. Overall, the developed method showed promising results in identifying and quantifying broccoli SFN. | en_GB |
dc.description.sponsorship | QUEX Institute | en_GB |
dc.description.sponsorship | PepsiCo, Inc | en_GB |
dc.identifier.citation | Published online 2 November 2023 | en_GB |
dc.identifier.doi | https://doi.org/10.1007/s12161-023-02544-y | |
dc.identifier.uri | http://hdl.handle.net/10871/134410 | |
dc.identifier | ORCID: 0000-0003-4896-7598 (Torquati, Luciana) | |
dc.language.iso | en | en_GB |
dc.publisher | Springer | en_GB |
dc.rights | © The Author(s) 2023. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. | en_GB |
dc.subject | Sulforaphane | en_GB |
dc.subject | Broccoli | en_GB |
dc.subject | Liquid chromatography | en_GB |
dc.subject | Mass spectrometry | en_GB |
dc.subject | LC-MS | en_GB |
dc.subject | quantifcation | en_GB |
dc.title | Development of Liquid Chromatography-Mass Spectrometry (LC-MS) Method for Quantification of Broccoli Sulforaphane | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2023-11-03T09:37:31Z | |
dc.identifier.issn | 1936-9751 | |
dc.description | This is the final version. Available on open access from Springer via the DOI in this record. | en_GB |
dc.description | Data Availability: The data that support the findings of this study are available from the corresponding author upon reasonable request. | en_GB |
dc.identifier.eissn | 1936-976X | |
dc.identifier.journal | Food Analytical Methods | en_GB |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_GB |
dcterms.dateAccepted | 2023-10-18 | |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2023-10-18 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2023-11-03T09:30:10Z | |
refterms.versionFCD | VoR | |
refterms.dateFOA | 2023-11-03T09:37:41Z | |
refterms.panel | A | en_GB |
refterms.dateFirstOnline | 2023-11-02 |
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