Determination of Methylene Blue and Its Metabolite Residues in Aquatic Products by High-Performance Liquid Chromatography-Tandem Mass Spectrometry
Overview
Authors
Affiliations
A sensitive and reliable method was developed to determine methylene blue (MB) and its metabolite residues, including azure A (AZA), azure B (AZB), and azure C (AZC) in aquatic products by HPLC-MS/MS. The samples were extracted by acetonitrile and cleaned up by alumina-neutral (ALN) cartridges. The analytes were separated on a Sunfire C18 column (150 mm × 2.1 mm, 5 µm). The method was validated according to the European criteria of Commission Decision 2002/657/CE. Good linearity between 1-500 µg/L was obtained with correlation coefficients () greater than 0.99. The limit of quantification (LOQ) was 1.0 µg/kg. The average recoveries at three levels of each compound (1, 5, and 10 µg/kg) were demonstrated to be in the range of 71.8-97.5%, with relative standard deviations (RSDs) from 1.05% to 8.63%. This method was suitable for the detection of methylene blue and its metabolite residues in aquatic products.
Hassani E, Duarte H, Bras J, Taleb A, Taleb M, Rais Z Polymers (Basel). 2024; 16(21).
PMID: 39518263 PMC: 11548672. DOI: 10.3390/polym16213055.
Evaluation of Methylene Blue Migration from Time-Temperature Indicators Using LC-MS/MS.
Lee S, Lim K, Lee Y, Shin H Foods. 2024; 13(12).
PMID: 38928829 PMC: 11202443. DOI: 10.3390/foods13121888.
Li W, Qiu J, Baharinikoo L, Anil Kumar T, Al-Qargholi B, Shafik S Sci Rep. 2022; 12(1):12806.
PMID: 35896658 PMC: 9329460. DOI: 10.1038/s41598-022-16948-z.
Dong J, Wang T, Xu E, Bai F, Liu J, Zhang Z Nanomaterials (Basel). 2022; 12(13).
PMID: 35807996 PMC: 9267967. DOI: 10.3390/nano12132163.