Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7584699 | Food Chemistry | 2018 | 8 Pages |
Abstract
A reliable solid-phase extraction (SPE) procedure using reduced graphene oxide and gold nanoparticle (rGO/Au) composite as sorbent was proposed for purification and enrichment of aflatoxin B1 (AFB1), aflatoxin M1 (AFM1), ochratoxin A (OTA), zearalenone (ZEA), α-zearalenol (α-ZOL), β-zearalenol (β-ZOL), zearalanone (ZAN), α-zearalanol (α-ZAL) and β-zearalanol (β-ZAL) in milk. Main parameters affecting the performance of SPE procedure were thoroughly investigated. The optimized conditions included 2% acetonitrile in water as the loading solution, 5% methanol in water as the washing solution, and methanol/acetonitrile/formic acid (50/49/1, v/v/v) as the elution solvent. Satisfactory linearity (R2â¯â¥â¯0.992), high sensitivity (limit of quantification in the range of 0.02-0.18â¯ngâ¯mLâ1), adequate recovery (70.2-111.2%), and acceptable precision (RSD, 2.0-14.9%) were obtained when the optimal sample pretreatment protocol was combined with ultra-high-performance liquid chromatography-tandem mass spectrometry detection. The applicability of the validated method was further verified in real milk samples.
Keywords
UHTFLDα-ZALAflatoxin M1 (PubChem CID: 15558498)Ochratoxin A (PubChem CID: 442530)α-ZearalanolIACα-ZOLOTAα-ZearalenolMRMβ-ZALβ-zearalanolSSEβ-ZOLβ-zearalenolZEAESI−RSDAflatoxin B1 (PubChem CID: 186907)LOQESI+LLESPEAFB1rGOS/NUHPLC-MS/MSenzyme-linked immune sorbent assayMatrix effectSolid-phase extractionLiquid-liquid extractionrelative standard deviationOchratoxin AGraphene oxideReduced graphene oxideELISAfluorescence detectionLOD یا Limit of detectiontwo-dimensionalZearalenoneZearalanoneImmunoaffinity ColumnSignal-to-noiseMilkmeasurement uncertaintyMycotoxinslimit of quantificationlimit of detectionmultiple reaction monitoringhigh-performance liquid chromatographyHPLC
Related Topics
Physical Sciences and Engineering
Chemistry
Analytical Chemistry
Authors
Keqiu Jiang, Qingwen Huang, Kai Fan, Lidong Wu, Dongxia Nie, Wenbo Guo, Yongjiang Wu, Zheng Han,