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Adding biomolecular recognition capability to 3D printed objects:4D printing

机译:向3D打印对象添加生物分子识别能力:4D打印

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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, flaidic, 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.
机译:3D打印技术将在近期近期影响生物传感器社区,无论是在传感器原型级别和传感层组织级别。目前的研究旨在证明一种3D打印技术的容量,数字光处理(DLP),使用常规模塑程序对具有3D形状进行的水凝胶感测层产生水凝胶传感层,但仍然是生物传感的活动(4D印刷物体)。感测层的第一模型由序贯酶促反应(葡萄糖氧化酶和过氧化物酶)组成,并且在葡萄糖和鲁米诺存在作为分析信号的情况下产生的化学发光反应。实现高度复杂的物体(FANCIFUBALL,拼图,3D像素,螺旋桨,牙布,多隔室),并进行单次,二 - 和三元构型,并证明了包封酶的活性。第二种模型是夹层免疫测定方案,用于检测脑钠尿肽。这里,产生高度复杂的螺旋桨形状传感层,并且证明了抗体的识别能力。

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