An Automatic Immunoaffinity Pretreatment of Deoxynivalenol Coupled with UPLC-UV Analysis.

An Automatic Immunoaffinity Pretreatment of Deoxynivalenol Coupled with UPLC-UV Analysis.
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脱氧雪腐镰刀菌烯醇的自动免疫亲和预处理与 UPLC-UV 分析相结合

DOI:
10.3390/toxins14020093
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发表时间:
2022-01-25
期刊:
影响因子:
4.2
通讯作者:
Wang S
Wang S
中科院分区:
医学2区
文献类型:
--
作者:
Liu H;Xuan Z;Ye J;Chen J;Wang M;Freitag S;Krska R;Liu Z;Li L;Wu Y;Wang S

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建立了一种基于免疫亲和磁珠(IMBs)的超高效液相色谱-紫外检测器(UPLC-UV)定量分析脱氧雪腐镰刀菌醇(DON)的自动前处理方法。首先,合成了具有良好磁响应性和分散性的n-羟基琥珀酰亚胺端粒磁珠(nhs - mb),并通过光学显微镜、扫描电镜和激光衍射粒度分析仪对其进行了表征。然后,不使用任何活化试剂,将抗don单克隆抗体(mAb)的氨基与NHS- mb的NHS基团通过共价键连接,制备IMB。精心调整了影响DON结合和洗脱的关键因素。在最佳条件下,DON可以从真实样品中提取,并从IMB中用水洗脱,实现了环境友好和绿色分析。因此,在UPLC-UV分析之前不需要稀释或蒸发。霉菌毒素自动纯化仪(MAPI)可在30 min内对20份样品的DON进行纯化浓缩,实现自动化、绿色、高通量、简便的清洗。玉米和小麦在4个不同峰值水平上的回收率为92.0% ~ 109.5%,相对标准偏差(RSD为2.1 ~ 7.0%)良好。将IAC和IMB在商业样品中的测试结果进行比较,证明了IMB在大量样品定量分析中的可靠性和优越性。
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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