A bioinspired olfactory sensor based on organoid-on-a-chip

Nan Jiang, Chunlian Qin, Qunchen Yuan, Yan Duan, Mengxue Liu, L. Zhuang, Ping Wang
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Abstract

The mammalian olfactory system is considered to be one of the most efficient chemosensing system due to its extraordinary ability in odor detection. The development of bioinspired olfactory biosensing technology makes it possible to mimic biological olfactory system. To overcome the limitation of olfactory biosensor in sensitivity and specificity, we present a novel olfactory biosensor based on organoid-on-a-chip. 3D culture technique was used to induce mammalian olfactory epithelial stem cells to differentiate into olfactory organoids. After about two weeks culture, olfactory sensory neurons (OSNs) became mature. When the organoids are transferred and fixed to the microelectrode array (MEA) chip and given a specific odor stimulus, the corresponding signal of neural activity is recorded. The feature extraction and pattern recognition of the signal are completed by the neural decoding algorithm, and then the odor recognition model is constructed to realize the high sensitivity, specificity, stability and rapid detection and recognition of the odor. The bioinspired olfactory sensor based on organoid-on-a-chip provides a more accurate and efficient platform for detection of odor.
一种基于类器官芯片的仿生嗅觉传感器
哺乳动物的嗅觉系统由于具有非凡的气味检测能力,被认为是最有效的化学感应系统之一。仿生嗅觉生物传感技术的发展使模拟生物嗅觉系统成为可能。为了克服嗅觉传感器在灵敏度和特异性上的局限性,我们提出了一种基于类器官芯片的新型嗅觉传感器。采用三维培养技术诱导哺乳动物嗅觉上皮干细胞向嗅觉类器官分化。培养约两周后,嗅感觉神经元(OSNs)成熟。当类器官被转移并固定在微电极阵列(MEA)芯片上,并给予特定的气味刺激时,记录相应的神经活动信号。通过神经解码算法完成信号的特征提取和模式识别,然后构建气味识别模型,实现对气味的高灵敏度、特异性、稳定性和快速检测识别。基于类器官芯片的仿生嗅觉传感器为气味检测提供了更准确、更高效的平台。
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