Determination of Parabens in Seafoods by Matrix Solid Phase Dispersion Coupled with Gas Chromatography-Mass Spectrometry

• Main Authors: Rosalina Djatmika, 羅莉娜
• Other Authors: Wang Hsien-Ding
• Format: Others
• Language: en_US
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/21724873160701354276

碩士 === 國立中央大學 === 化學學系 === 104 === ABSTRACT Parabens or esters of p-hydroxybenzoic acid are used as antimicrobial preservatives. Parabens are commonly detected in aquatic systems, including environmental water, sediment and sludge. Previous studies have reported that parabens have potential long-term effects on aquatic organisms and human health. Parabens cause endocrine disruptive which adversely affects the secretion of testosterone and enhance the risk of breast cancer. An optimized method for determination of parabens in seafoods was presented. Analytes were simultaneously extracted and cleaned-up using the matrix solid-phase dispersion (MSPD) procedure. Several combinations of elution solvent, dispersants and clean-up co-sorbent were investigated in order to get free-lipid extracts and quantitative recoveries of parabens. The parameters affecting the MSPD extraction efficiency was investigated by statistical experimental design and analysis of variance. Under optimized condition, 0.5 gram of fish sample was mixed with 0.5 gram anhydrous sodium sulfate and dispersed with 1.0 gram of Florisil and then transferred to SPE column containing 1.5 gram of silica:C18 (9:1) as clean-up co-sorbent. Analytes were eluted with 12 mL of acetonitrile. The extract was concentrated to dryness under a gentle stream of nitrogen and re-constituted with 50 µL methanol. Then, a fraction of 10 µL was mixed with 1.0 µL acetic anhydride reagent and directly injected to GC-MS system to obtain online derivatization. The optimized method presented good linearity (R2 > 0.9994) for all target analytes over six level concentration in ranged 4-500 ng/g, provided low detection limits less than 0.3 ng/g, obtained a good precision (relative standard deviations less than 8% in inter-and intra- day analysis) and offered good recoveries (in ranged 93%-112%).