journal article·2010-02

A novel porous collagen scaffold around an implantable biosensor for improving biocompatibility. II. Long‐term in vitro/in vivo sensitivity characteristics of sensors with NDGA‐ or GA‐crosslinked collagen scaffolds

Young Min Ju, Bazhang Yu, Leigh West, Yvonne Moussy, Francis Moussy

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Abstract

Abstract We have developed a new 3D porous and biostable collagen scaffold for implantable glucose sensors. The scaffolds were fabricated around the sensors and crosslinked using nordihydroguaiaretic acid (NDGA) or glutaraldehyde (GA) to enhance physical and biological stability. The effect of the scaffolds on sensor function and biocompatibility was examined during long‐term (≥28 days) in vitro and in vivo experiments and compared with control bare sensors. To evaluate the effect of the sensor length on micromotion and sensor function, we also fabricated short and long sensors. 3D porous scaffold application around glucose sensors did not significantly affect the long‐term in vitro sensitivity of the sensors. The scaffolds, crosslinked by either NDGA or GA, remained stable around the sensors during the 4 week in vitro study. In the long‐term in vivo study, the sensitivity of the short sensors was higher than the sensitivity of long sensors presumably because of less micromotion in the subcutis of the rats. The sensors with NDGA‐crosslinked scaffolds had a higher sensitivity than the sensors with GA‐crosslinked scaffolds. Histological examination showed that NDGA‐crosslinked scaffolds retained their physical structure with reduced inflammation when compared with the GA‐crosslinked scaffolds. Therefore, the application of NDGA‐crosslinked collagen scaffolds might be a good method for enhancing the function and lifetime of implantable biosensors by minimizing the in vivo foreign body response. © 2009 Wiley Periodicals, Inc. J Biomed Mater Res, 2010
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Research context

OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Electrospun Nanofibers in Biomedical Applications · Dental materials and restorations

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

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