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通量型传感器与浓度型传感器在经皮测量中的应用比较。

Flux-Type versus Concentration-Type Sensors in Transdermal Measurements.

机构信息

Milo Sensors, Inc., Santa Barbara, CA 93101, USA.

出版信息

Biosensors (Basel). 2023 Aug 25;13(9):845. doi: 10.3390/bios13090845.

DOI:10.3390/bios13090845
PMID:37754079
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10526996/
Abstract

New transdermal biosensors measure analytes that diffuse from the bloodstream through the skin, making it important to reduce the system response time and understand measurement output. While highly customized models have been created for specific sensors, a generalized model for transdermal sensor systems is lacking. Here, a simple one-dimensional diffusion model was used to characterize the measurement system and classify biosensors as either flux types or concentration types. Results showed that flux-type sensors have significantly faster response times than concentration sensors. Furthermore, flux sensors do not measure concentration, but rather have an output measurement that is proportional to skin permeability. These findings should lead to an improved understanding of transdermal measurements and their relation to blood analyte concentration. In the realm of alcohol research, where the majority of commercially available sensors are flux types, our work advocates toward moving away from transdermal alcohol concentration as a metric, and instead suggests embracing transdermal alcohol flux as a more suitable alternative.

摘要

新型透皮生物传感器可测量从血液扩散穿过皮肤的分析物,因此减少系统响应时间并理解测量结果非常重要。虽然已经为特定传感器创建了高度定制的模型,但缺乏用于透皮传感器系统的通用模型。在这里,使用简单的一维扩散模型来描述测量系统,并将生物传感器分类为通量型或浓度型。结果表明,通量型传感器的响应时间明显快于浓度传感器。此外,通量传感器不测量浓度,而是具有与皮肤渗透性成正比的输出测量值。这些发现应该有助于更好地理解透皮测量及其与血液分析物浓度的关系。在酒精研究领域,大多数市售传感器都是通量型的,我们的工作主张不再将透皮酒精浓度作为衡量标准,而是建议采用透皮酒精通量作为更合适的替代方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eada/10526996/86099916490b/biosensors-13-00845-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eada/10526996/8e02ace4e195/biosensors-13-00845-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eada/10526996/ee18b11a2c76/biosensors-13-00845-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eada/10526996/71c25ede7d45/biosensors-13-00845-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eada/10526996/e1e9972a1492/biosensors-13-00845-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eada/10526996/86099916490b/biosensors-13-00845-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eada/10526996/8e02ace4e195/biosensors-13-00845-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eada/10526996/ee18b11a2c76/biosensors-13-00845-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eada/10526996/71c25ede7d45/biosensors-13-00845-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eada/10526996/e1e9972a1492/biosensors-13-00845-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eada/10526996/86099916490b/biosensors-13-00845-g005.jpg

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Alcohol. 2023 Aug;110:33-40. doi: 10.1016/j.alcohol.2023.03.162. Epub 2023 Apr 25.
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Validating transdermal alcohol biosensors: a meta-analysis of associations between blood/breath-based measures and transdermal alcohol sensor output.
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