三维打印电化学电池用于基于多点色聚体的药物测量

IF 3.5 Q2 CHEMISTRY, ANALYTICAL
John Mack, Raygan Murray, Kenedi Lynch and Netzahualcóyotl Arroyo-Currás
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引用次数: 0

摘要

基于电化学适配体(E-AB)的传感器可对生物样本中的小分子药物和蛋白质生物标记物等生物医学相关目标进行检测和定量。E-AB 通常是在市售的宏电极上制造的,这些宏电极虽然具有快速制作传感器原型的功能,但成本高昂,而且与临床验证研究中生物库中通常可用的微升样本容量不兼容。为了开发一种多点传感平台,以便在临床研究特有的样本容量下进行传感器验证,我们报告了一种内部组装三维打印 E-AB 的方案。我们使用市售的三维立体光刻打印机(FormLabs,价值 5,000 美元)制造电化学电池,并直接将电极嵌入三维打印的电池结构中。这种方法提供了可重复和可再用的电极制造工艺,可同时进行四次独立测量,从而获得统计加权结果。我们展示了与抗生素和抗肿瘤药物结合的aptamer序列的兼容性。我们还展示了使用临床样本测量血清万古霉素的概念验证。我们的研究结果表明,3D 打印技术可与 E-AB 结合使用,对生物基质中的 E-AB 传感器进行方便、快速和有统计意义的验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

3D-printed electrochemical cells for multi-point aptamer-based drug measurements†

3D-printed electrochemical cells for multi-point aptamer-based drug measurements†

Electrochemical aptamer-based (E-AB) sensors achieve detection and quantitation of biomedically relevant targets such as small molecule drugs and protein biomarkers in biological samples. E-ABs are usually fabricated on commercially available macroelectrodes which, although functional for rapid sensor prototyping, can be costly and are not compatible with the microliter sample volumes typically available in biorepositories for clinical validation studies. Seeking to develop a multi-point sensing platform for sensor validation in sample volumes characteristic of clinical studies, we report a protocol for in-house assembly of 3D-printed E-ABs. We employed a commercially available 3D stereolithographic printer (FormLabs, $5k USD) for electrochemical cell fabrication and directly embedded electrodes within the 3D-printed cell structure. This approach offers a reproducible and reusable electrode fabrication process resulting in four independent and simultaneous measurements for statistically weighted results. We demonstrate compatibility with aptamer sequences binding antibiotics and antineoplastic agents. We also demonstrate a proof-of-concept validation of serum vancomycin measurements using clinical samples. Our results demonstrate that 3D-printing can be used in conjunction with E-ABs for accessible, rapid, and statistically meaningful validation of E-AB sensors in biological matrices.

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CiteScore
2.30
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