Adding Biomolecular Recognition Capability to 3D Printed Objects: 4D Printing

Procedia Technology Pub Date : 2017-01-01 DOI:10.1016/j.protcy.2017.04.001

C.A. Mandon, L.J. Blum, C.A. Marquette

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引用次数: 6

Abstract

3D printing technologies will impact in a near future the biosensor community, both at the sensor prototyping level and the sensing layer organization level. The present study aimed at demonstrating the capacity of one 3D printing technique, the Digital Light Processing (DLP), to produce hydrogel sensing layers with 3D shapes unreachable using conventional molding procedures but still biosensing activity (4D printed objects).

The first model of sensing layer was composed of a sequential enzymatic reaction (glucose oxidase and peroxidase) and the generated chemiluminescent reaction in the presence of glucose and luminol used as analytical signal. Highly complex objects (fancifuball, puzzle pieces, 3D pixel, propellers, fluidic, multi-compartments) with mono-, di- and tri-components configurations were achieved and the activity of the encapsulated enzymes demonstrated.

The second model was a sandwich immunoassay protocol for the detection of Brain Natriuretic Peptide. Here, highly complex propeller shape sensing layers were produced and the recognition capability of the antibodies demonstrated.

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增加生物分子识别能力的3D打印对象:4D打印

3D打印技术将在不久的将来影响生物传感器社区，无论是在传感器原型水平还是传感层组织水平。目前的研究旨在展示一种3D打印技术的能力，即数字光处理(DLP)，可以生产具有3D形状的水凝胶传感层，使用传统的成型程序无法达到，但仍然具有生物传感活性(4D打印对象)。传感层的第一个模型由连续的酶促反应(葡萄糖氧化酶和过氧化物酶)和在葡萄糖和鲁米诺作为分析信号存在下产生的化学发光反应组成。高度复杂的物体(幻想球，拼图片，3D像素，螺旋桨，流体，多室)与单，双和三组分配置实现和封装酶的活性证明。第二个模型是检测脑利钠肽的三明治免疫分析方案。在这里，高度复杂的螺旋桨形状传感层产生和抗体的识别能力证明。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Procedia Technology

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