中文摘要：转基因抗虫作物的研发引起了公众对有毒的Cry蛋白（如Cry1Ab）流动到土壤所造成生态环境风险的极大关注。因此，测量Cry蛋白水平和转基因作物含量至关重要。本文首次使用新型碳纳米球无标记电化学发光免疫传感器方法来量化Cry1Ab和转基因作物。研究发现，在最佳条件下，无标记的电化学发光免疫传感器测定的Cry1Ab低至3.0 pg mL(-1)（线性范围为0.010-1.0 ng mL(-1)），显着提高了灵敏度。同时，该方法已成功地应用于转基因大米Bt63和转基因玉米MON810的检测中，检测限分别为0.010%和0.020%。研究结果表明，该方法具有灵敏度高、选择性好、制备简单、检测速度快、成本低等突出优点，可作为转基因作物检测的有力工具。另外，它也可用于其他食品中毒素蛋白的检测。
外文摘要：The development of genetically modified (GM) insect-resistant crops has aroused great public concern about the risks on the eco-environment resulting from a release of toxic Cry proteins (such as CrylAb) to the soil. Therefore, it is of crucial importance to measure the Cry proteins level and the GM crops content. Here, we have tested for the first time a method that uses novel carbon nanospheres (CNPs) label-free electrochemiluminescent (ECL) immunosensor for the ultrasensitive quantification of CrylAb and GM crops. In this work, novel CNPs were prepared from printer toner with a very facile approach, and linked with anti-CrylAb antibodies to modify a golden working electrode. The immunoreaction between CrylAb and its antibody formed an immunocomplex on the bioreceptor region of the sensor, which inhibited electron transfer between the electrode surface and the ECL substance, leading to a decrease of ECL response. Under the optimal conditions, the fabricated label-free ECL immunosensor determined CrylAb down to 3.0 pg mL(-1) within a linear range of 0.010-1.0 ng mL(-1), showing significant improvement of sensitivity than that of most previous reports. Meanwhile, the proposed method was successfully applied for GM rice BT63 and GM maize MON810 detections down to 0.010% and 0.020%, respectively. Due to its outstanding advantages such as high sensitivity, ideal selectivity, simple fabrication, rapid detection, and low cost, the developed method can be considered as a powerful and pioneering tool for GM crops detection. Its use can also be extended to other toxin protein sensing in foods.
外文关键词：Electrochemiluminescence Label-free immunosensor; Carbon nanospheres; Cry protein; Genetically modified crops
作者：Gao, Hongfei; Wen, Luke; Wu, Yuhua; 等
作者单位：Chinese Acad Agr Sci
期刊名称：BIOSENSORS & BIOELECTRONICS
期刊影响因子：7.78
出版年份：2017
出版刊次：9
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