文献类型: 外文期刊
作者: Liu, Hongmei 1 ; Xuan, Zhihong 1 ; Ye, Jin 1 ; Chen, Jinnan 1 ; Wang, Meng 2 ; Freitag, Stephan 3 ; Krska, Rudolf 3 ; Liu, Zehuan 1 ; Li, Li 1 ; Wu, Yu 1 ; Wang, Songxue 1 ;
作者机构: 1.Acad Natl Food & Strateg Reserves Adm, 11 Baiwanzhuang St, Beijing 100037, Peoples R China
2.Beijing Acad Agr & Forestry Sci, Inst Qual Stand & Testing Technol, Beijing 100097, Peoples R China
3.Univ Nat Resources & Life Sci Vienna BOKU, Dept Agrobiotechnol IFA Tulln, Inst Bioanalyt & Agrometab, A-3430 Tulln, Austria
4.Queens Univ Belfast, Inst Global Food Secur, Sch Biol Sci, Belfast BT9 5DL, Antrim, North Ireland
5.Cent South Univ Forestry & Technol, Coll Food Sci & Engn, Changsha 410004, Peoples R China
关键词: deoxynivalenol; immunoaffinity magnetic beads; automatic; UPLC-UV
期刊名称:TOXINS ( 影响因子:5.075; 五年影响因子:5.305 )
ISSN:
年卷期: 2022 年 14 卷 2 期
页码:
收录情况: SCI
摘要: An immunoaffinity magnetic beads (IMBs) based automatic pretreatment method was developed for the quantitative analysis of deoxynivalenol (DON) by ultra-performance liquid chromatography and ultraviolet detector (UPLC-UV). First, N-hydroxysuccinimide-terminated magnetic beads (NHS-MBs) with good magnetic responsivity and dispersibility were synthesized and characterized by optical microscopy, scanning electron microscopy (SEM), and laser diffraction-based particle size analyzer. Then, the amino groups of anti-DON monoclonal antibody (mAb) and the NHS groups of NHS-MBs were linked by covalent bonds to prepare IMB, without any activation reagent. The essential factors affecting the binding and elution of DON were meticulously tuned. Under optimal conditions, DON could be extracted from a real sample and eluted from IMB by water, enabling environmentally friendly and green analysis. Hence, there was no need for dilution or evaporation prior to UPLC-UV analysis. DON in 20 samples could be purified and concentrated within 30 min by the mycotoxin automated purification instrument (MAPI), allowing for automated, green, high-throughput and simple clean-up. Recoveries at four distinct spiking levels in corn and wheat ranged from 92.0% to 109.5% with good relative standard deviations (RSD, 2.1-7.0%). Comparing the test results of IAC and IMB in commercial samples demonstrated the reliability and superiority of IMB for quantitatively analyzing massive samples.
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