A facile method to classify clinic isolates with a turn-off sensor array based on graphene oxide and antimicrobial peptides

A facile method to classify clinic isolates with a turn-off sensor array based on graphene oxide and antimicrobial peptides
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一种利用基于氧化石墨烯和抗菌肽的可关闭传感器阵列对临床分离株进行分类的简便方法

DOI:
10.1016/j.snb.2019.127607
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发表时间:
2020-03-15
影响因子:
8.4
通讯作者:
Wu, Guoqiu
Wu, Guoqiu
中科院分区:
化学1区
文献类型:
--
作者:
Fan, Xiaobo;Xu, Wei;Wu, Guoqiu

文献摘要

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氧化石墨烯(GO)由于其高的体积比和独特的物理和电学性质,可以吸附芳香族和带电材料。抗菌肽通过嵌入细菌被膜抑制细菌生长,其抗菌效率因种类而异,并且对金属阳离子敏感。本文中,描述了基于氧化石墨烯和与聚组氨酸衔接子融合的抗微生物肽的关闭传感器阵列,并用于细菌鉴别。易于与氧化石墨烯结合的聚组氨酸衔接子有助于GO有效地淬灭荧光团标记的肽。如本文所示的滴定测定所示,GO以> 99.6%的淬灭效率淬灭6-羧基荧光素标记的肽,确保非常低的背景。在优化的参数下,建立了具有各种抗菌肽类型和钙浓度的传感器阵列。将13种最常见的临床物种置于传感器阵列中,获得的荧光信号范围从几千到几百万,物种之间具有上级分辨率。通过使用单个或组合参数在盲法测定中比较其准确度来评价传感器阵列。单个参数的准确度达到> 70%,组合参数的准确度达到> 95%,并且使用该传感器阵列鉴定了所有155种细菌。此外,膜组件和抗菌肽之间的相互作用进行了检查,通过石英晶体微天平与耗散和钙离子的影响,通过单层测定阐明。
Graphene oxide (GO) absorbed aromatic and charged materials due to its high volume-to-surface ratio and unique physical and electrical properties. Antimicrobial peptides can inhibit bacterial growth by intercalating into the bacterial envelope and their antimicrobial efficiencies vary depending on the species and are sensitive to metal cations. Herein, a turn-off sensor array based on graphene oxide and antimicrobial peptide that was fused with a poly-histidine adaptor was described and used for bacterial discrimination. The poly-histidine adaptor prone to binding with graphene oxide helped GO to quench the fluorophore labelled peptides efficiently. As illustrated by the titration assays presented herein, GO quenched the 6-carboxyfluorescein-labelled peptides at a > 99.6 % quenching efficiency, ensuring a very low background. A sensor array was established with various antimicrobial peptide types and calcium concentrations under optimized parameters. The 13 most frequently observed clinical species were subjected to the sensor array, and the obtained fluorescent signals ranged from several thousand to several million, with superior resolution between species. The sensor array was evaluated by comparing its accuracy in a blind assay using single or combined parameters. The accuracy reached > 70 % for single parameters and > 95 % for combinations, and all 155 bacteria were identified using this sensor array. In addition, the interaction between the membrane components and antimicrobial peptides were examined by quartz crystal microbalance with dissipation and the effect of calcium ions was elucidated by monolayer assays.