Multi-shank flexible implantable neural interface for long-term olfactory neuron recording toward odor perception

IF 13.3 1区 工程技术 Q1 ENGINEERING, CHEMICAL
Qunchen Yuan, Jiale Wang, Chunlian Qin, Shunuo Shang, Haoze Xu, Fan Wu, Yong Qiu, Haoting Zhang, Rui Sun, Ping Wang, Liujing Zhuang, Hao Wan
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引用次数: 0

Abstract

Odor perception systems based on the chip-organism hybrid strategy display significant advantages in detection specificity and sensitivity. However, due to poor biocompatibility and the extreme mismatch of Young’s modulus, the relative displacement between cells and the electrodes leads to recording failures, thereby shortening the lifespan of the chip-organism hybrid models. Here, we proposed a multi-shank flexible implantable neural interface suitable for large-scale recording of olfactory neurons to extend the working lifetime of the model. First, SU-8 thin film-based neural interfaces were fabricated by micro-nano processing to reduce the rigidity of the neural recording chips. Next, the recording performance was improved by the in situ deposition of platinum nanoparticles. The mechanical properties of the neural interfaces were significantly enhanced to implantation when they were wrapped with a water-soluble material. Afterward, we combined the neural interfaces with rat olfaction to build a polymer-organism hybrid electronic nose for odor perception. We found that the multi-shank flexible implantable neural interface could record high-quality signals of the rat olfactory bulb for up to 11 months. Finally, by using pattern recognition algorithms, the polymer-organism hybrid electronic nose could achieve an odor perception and recognition accuracy of 97.5 % when the rats were awake. This polymer-organism hybrid strategy has great potential for studying long-term olfactory functions and enhancing the odor perception capabilities of chip-organism hybrid devices.
用于嗅觉神经元长期记录的多柄柔性植入式神经接口
基于芯片-生物混合策略的气味感知系统在检测特异性和灵敏度方面具有显著优势。然而,由于生物相容性差和杨氏模量的极端不匹配,细胞与电极之间的相对位移导致记录失败,从而缩短了芯片-生物杂交模型的寿命。为此,我们提出了一种适合于嗅觉神经元大规模记录的多柄柔性植入式神经接口,以延长模型的工作寿命。首先,采用微纳工艺制备SU-8薄膜神经接口,降低神经记录芯片的刚性;其次,通过铂纳米粒子的原位沉积提高了记录性能。用水溶性材料包裹神经界面后,神经界面的力学性能明显增强。随后,我们将神经接口与大鼠嗅觉结合,构建了一个用于气味感知的聚合物-生物混合电子鼻。我们发现多柄柔性植入式神经接口可以记录大鼠嗅球长达11 个月的高质量信号。最后,采用模式识别算法,在大鼠清醒状态下,聚合物-生物混合电子鼻的气味感知和识别准确率达到97.5 %。这种聚合物-生物混合策略在研究长期嗅觉功能和增强芯片-生物混合装置的气味感知能力方面具有很大的潜力。
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来源期刊
Chemical Engineering Journal
Chemical Engineering Journal 工程技术-工程:化工
CiteScore
21.70
自引率
9.30%
发文量
6781
审稿时长
2.4 months
期刊介绍: The Chemical Engineering Journal is an international research journal that invites contributions of original and novel fundamental research. It aims to provide an international platform for presenting original fundamental research, interpretative reviews, and discussions on new developments in chemical engineering. The journal welcomes papers that describe novel theory and its practical application, as well as those that demonstrate the transfer of techniques from other disciplines. It also welcomes reports on carefully conducted experimental work that is soundly interpreted. The main focus of the journal is on original and rigorous research results that have broad significance. The Catalysis section within the Chemical Engineering Journal focuses specifically on Experimental and Theoretical studies in the fields of heterogeneous catalysis, molecular catalysis, and biocatalysis. These studies have industrial impact on various sectors such as chemicals, energy, materials, foods, healthcare, and environmental protection.
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