Ex ova chick chorioallantoic membrane as a novel in vivo model for testing biosensors

绒毛尿囊膜 离体 体内 生物医学工程 生物传感器 生物相容性 材料科学 培养皿 药理学 生物物理学 生物 纳米技术 医学 生物技术 遗传学 冶金
作者
Thelma I. Valdes,Ulrike Klueh,D L Kreutzer,Francis Moussy
出处
期刊:Journal of Biomedical Materials Research Part A [Wiley]
卷期号:67A (1): 215-223 被引量:40
标识
DOI:10.1002/jbm.a.10055
摘要

Abstract A major problem with implantable sensors is their short in vivo lifetime, due to strong tissue reactions (i.e., inflammation and fibrosis) caused by the implant and the failure of sensor components. The tissue reactions to the sensor, the biocompatibility of components, and the function of the sensor must be evaluated by using in vivo models. Current methods of in vivo biosensor testing are time‐ and labor‐ intensive and expensive. In addition, the results often vary on the basis of the surgical skills of the investigator. The in ova chorioallantoic membrane (CAM) of the developing chicken embryo was previously developed in our laboratory as a novel in vivo system to test biomaterials. In this new article, we describe a novel approach for testing biosensors in vivo using the ex ova CAM model as an alternative to the traditional mammalian models. Fertilized chicken eggs were incubated for 3 days in ova and then transferred into a petri dish ( ex ova ) for further incubation at 37°C and 80% humidity. After 1 week of incubation, acetaminophen biosensors, used as model sensors, were placed on top of the CAM and allowed to incorporate for 1 week. Biosensors were then tested for their sensitivity to acetaminophen. CAM venules were injected with 0.2 mL of a 3.6 m M acetaminophen solution. The current produced by the sensor reflected the change in blood acetaminophen levels. Sensors were also assessed by using gross and histological evaluations. We previously reported on the similarity of the tissue response of the CAM with the mammalian models. The low cost, simplicity, and possibility to continuously visualize the sensor test site through a cell culture dish make this animal model particularly attractive for the rapid in vivo screening of biosensors. © 2003 Wiley Periodicals, Inc. J Biomed Mater Res 67A: 215–223, 2003

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