A comparison of conductive ink usage optimization techniques used in fabrication of epidermal UHF radio frequency identification tags for medical and sensing applications

IF 3.3 Q3 ENGINEERING, BIOMEDICAL Healthcare Technology Letters Pub Date : 2023-09-20 DOI:10.1049/htl2.12051
Dumtoochukwu Obiora Oyeka, John Batchelor, Rachel Saunders
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Abstract

The aim of this work is to assess the performance of various inkjet printing techniques. These techniques are aimed at optimizing the volume of conductive ink used in the fabrication of inkjet printed Radio Frequency Identification tags. It is also possible that they can be used in fabricating other electronic and electromagnetic devices and structures. Three ink optimization approaches were examined viz. gridded (meshed) designs, conductive area trimming and selective ink deposition. The volume of conductive ink utilized in tag fabrication and the measured on-body (forearm) read range of the tag were used to develop a figure of merit which determined the best printing approach. Although the longest read range was obtained from the tag with 48% conductive area trimming (Trim 1), the best figure of merit, that is, the tag with the best balance between measured read range and utilized conductive ink, was obtained from the tag that had its surface area trimmed by 65% (Trim 2). It is however suggested that optimum use of conductive ink would be achieved with a combination of 65% surface area trimming and selective ink deposition technique.

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用于制造用于医疗和传感应用的表皮超高频射频识别标签的导电油墨使用优化技术的比较。
这项工作的目的是评估各种喷墨打印技术的性能。这些技术旨在优化喷墨印刷射频识别标签制造中使用的导电油墨的体积。它们也可以用于制造其他电子和电磁器件和结构。研究了三种油墨优化方法,即网格设计、导电区域修剪和选择性油墨沉积。使用标签制造中使用的导电墨水的体积和测量的标签在身体(前臂)上的读取范围来制定优值,该优值确定了最佳打印方法。尽管从具有48%导电面积修剪的标签获得了最长的读取范围(修剪1),但是从表面积修剪65%的标签获得最佳品质因数,即,在测量的读取范围和使用的导电油墨之间具有最佳平衡的标签(修剪2)。然而,建议将65%的表面积修整和选择性油墨沉积技术相结合,可以实现导电油墨的最佳使用。
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来源期刊
Healthcare Technology Letters
Healthcare Technology Letters Health Professions-Health Information Management
CiteScore
6.10
自引率
4.80%
发文量
12
审稿时长
22 weeks
期刊介绍: Healthcare Technology Letters aims to bring together an audience of biomedical and electrical engineers, physical and computer scientists, and mathematicians to enable the exchange of the latest ideas and advances through rapid online publication of original healthcare technology research. Major themes of the journal include (but are not limited to): Major technological/methodological areas: Biomedical signal processing Biomedical imaging and image processing Bioinstrumentation (sensors, wearable technologies, etc) Biomedical informatics Major application areas: Cardiovascular and respiratory systems engineering Neural engineering, neuromuscular systems Rehabilitation engineering Bio-robotics, surgical planning and biomechanics Therapeutic and diagnostic systems, devices and technologies Clinical engineering Healthcare information systems, telemedicine, mHealth.
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