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微电极阵列上抗体的介电泳固定化。

Dielectrophoretic immobilisation of antibodies on microelectrode arrays.

机构信息

Fraunhofer Institute for Biomedical Engineering (IBMT), Branch Potsdam-Golm, 14476 Potsdam, Germany.

出版信息

Lab Chip. 2014 Mar 7;14(5):998-1004. doi: 10.1039/c3lc51190a.

DOI:10.1039/c3lc51190a
PMID:24441950
Abstract

A silicon based chip device with a regular array of more than 100,000 cylindrical sub-microelectrodes has been developed for the dielectrophoretic (DEP) manipulation of nanoparticles and molecules in solution. It was fabricated by a standard CMOS (complementary metal oxide semiconductor) compatible process. The distribution of the electrical field gradient was calculated to predict the applicability of the setup. Heating due to field application was determined microscopically using a temperature sensitive fluorescent dye. Depending on voltage and frequency, temperature increase was found to be compatible with protein function. Successful field controlled immobilisation of biomolecules from solution was demonstrated with the autofluorescent protein R-phycoerythrin (RPE) and with fluorescently labelled IgG antibodies. Biological activity after DEP application was proven by immobilisation of an anti-RPE antibody and subsequent binding of RPE. These results demonstrate that the developed chip system allows the directed immobilisation of proteins onto microelectrodes by dielectrophoresis without the need for any chemical modification and that protein function is preserved. Being based on standard lithographical methods, further miniaturisation and on-chip integration of electronics towards a multiparameter single cell analysis system appear near at hand.

摘要

已经开发出一种基于硅的芯片设备,该设备具有超过 100,000 个圆柱形亚微电极的规则阵列,用于在溶液中进行电泳(DEP)操纵纳米粒子和分子。它是通过标准的 CMOS(互补金属氧化物半导体)兼容工艺制造的。计算了电场梯度的分布以预测该装置的适用性。使用对温度敏感的荧光染料微观确定了由于场应用引起的加热。根据电压和频率,发现温度升高与蛋白质功能兼容。使用自荧光蛋白 R-藻红蛋白(RPE)和荧光标记的 IgG 抗体成功地从溶液中进行了场控制的生物分子固定化。通过固定抗 RPE 抗体并随后结合 RPE,证明了 DEP 应用后的生物活性。这些结果表明,所开发的芯片系统允许通过电泳将蛋白质定向固定到微电极上,而无需任何化学修饰,并且保留了蛋白质功能。该系统基于标准的光刻方法,进一步的小型化和电子设备的片上集成,朝着多参数单细胞分析系统迈进。

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