等效电路法增强胰岛素生物利用度评估传感器

IF 3.7 3区 医学 Q2 ENGINEERING, BIOMEDICAL
Francesca Mancino;Hanen Nouri;Nicola Moccaldi;Pasquale Arpaia;Olfa Kanoun
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引用次数: 0

摘要

研究人员探索了等效电路方法,以改进基于生物阻抗的传感器,测量以往研究中已经提出的合成胰岛素的生物利用度。特别是,确定了对胰岛素注射量变化最敏感的电气参数。在准静态假设下,茄子被用来模拟人体的电行为,与估计的胰岛素吸收时间相比,茄子的测量时间非常短。使用 EVAL-AD5940BIOZ 进行测量,施加幅度为 100 mV 的正弦电压信号,并获取 [1-100] kHz 范围内的阻抗谱。使用 0.4 厘米长的礼来胰岛素笔逐渐注射 14 单位的胰岛素。采用修正的海登模型作为参考电路,发现细胞外液建模的电分量是对胰岛素最敏感的参数。胰岛素传感器的灵敏度达到了最先进的 225.90 ml1。与之前的实验研究相比,灵敏度提高了 223%,确定性误差降低了 44%,非线性降低了 7%,可重复性提高了 42%。通过对用于实时测量胰岛素生物利用度的智能胰岛素笔的影响进行预测,评估了该传感器的临床影响。基于生物阻抗的传感器的灵敏度大幅提高,显著降低了智能胰岛素笔的不确定性。考虑到在体内应用中的相同改进,智能胰岛素笔的不确定性从 4.2~m\u $ l 美元降至 1.3~m\u $ l 美元:基于阻抗光谱和等效电路方法的智能胰岛素笔可以成为皮下注射后无创及实时测量合成胰岛素吸收的有效解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Equivalent Electrical Circuit Approach to Enhance a Transducer for Insulin Bioavailability Assessment
The equivalent electrical circuit approach is explored to improve a bioimpedance-based transducer for measuring the bioavailability of synthetic insulin already presented in previous studies. In particular, the electrical parameter most sensitive to the variation of insulin amount injected was identified. Eggplants were used to emulate human electrical behavior under a quasi-static assumption guaranteed by a very low measurement time compared to the estimated insulin absorption time. Measurements were conducted with the EVAL-AD5940BIOZ by applying a sinusoidal voltage signal with an amplitude of 100 mV and acquiring impedance spectra in the range [1–100] kHz. 14 units of insulin were gradually administered using a Lilly’s Insulin Pen having a 0.4 cm long needle. Modified Hayden’s model was adopted as a reference circuit and the electrical component modeling the extracellular fluids was found to be the most insulin-sensitive parameter. The trnasducer achieves a state-of-the-art sensitivity of 225.90 ml1. An improvement of 223 % in sensitivity, 44 % in deterministic error, 7 % in nonlinearity, and 42 % in reproducibility was achieved compared to previous experimental studies. The clinical impact of the transducer was evaluated by projecting its impact on a Smart Insulin Pen for real-time measurement of insulin bioavailability. The wide gain in sensitivity of the bioimpedance-based transducer results in a significant reduction of the uncertainty of the Smart Insulin Pen. Considering the same improvement in in-vivo applications, the uncertainty of the Smart Insulin Pen is decreased from $4.2~\mu $ l to $1.3~\mu $ l.Clinical and Translational Impact Statement: A Smart Insulin Pen based on impedance spectroscopy and equivalent electrical circuit approach could be an effective solution for the non-invasive and real-time measurement of synthetic insulin uptake after subcutaneous administration.
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来源期刊
CiteScore
7.40
自引率
2.90%
发文量
65
审稿时长
27 weeks
期刊介绍: The IEEE Journal of Translational Engineering in Health and Medicine is an open access product that bridges the engineering and clinical worlds, focusing on detailed descriptions of advanced technical solutions to a clinical need along with clinical results and healthcare relevance. The journal provides a platform for state-of-the-art technology directions in the interdisciplinary field of biomedical engineering, embracing engineering, life sciences and medicine. A unique aspect of the journal is its ability to foster a collaboration between physicians and engineers for presenting broad and compelling real world technological and engineering solutions that can be implemented in the interest of improving quality of patient care and treatment outcomes, thereby reducing costs and improving efficiency. The journal provides an active forum for clinical research and relevant state-of the-art technology for members of all the IEEE societies that have an interest in biomedical engineering as well as reaching out directly to physicians and the medical community through the American Medical Association (AMA) and other clinical societies. The scope of the journal includes, but is not limited, to topics on: Medical devices, healthcare delivery systems, global healthcare initiatives, and ICT based services; Technological relevance to healthcare cost reduction; Technology affecting healthcare management, decision-making, and policy; Advanced technical work that is applied to solving specific clinical needs.
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