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A novel bioelectronic tongue in vivo for highly sensitive bitterness detection with brain-machine interface

机译:一种新颖的生物电子体内舌头,可通过脑机界面进行高度灵敏的苦味检测

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摘要

Animals' gustatory system has been widely acknowledged as one of the most sensitive chemosensing systems, especially for its ability to detect bitterness. Since bitterness usually symbolizes inedibility, the potential to use rodent's gustatory system is investigated to detect bitter compounds. In this work, the extracellular potentials of a group of neurons are recorded by chronically coupling microelectrode array to rat's gustatory cortex with brain-machine interface (BMI) technology. Local field potentials (LFPs), which represent the electrophysiological activity of neural networks, are chosen as target signals due to stable response patterns across trials and are further divided into different oscillations. As a result, different taste qualities yield quality-specific LFP5 in time domain which suggests the selectivity of this in vivo bioelectronic tongue. Meanwhile, more quantitative study in frequency domain indicates that the post-stimulation power of beta and low gamma oscillations shows dependence with concentrations of denatonium benzoate, a prototypical bitter compound, and the limit of detection is deduced to be 0.076 M, which is two orders lower than previous in vitro bioelectronic tongues and conventional electronic tongues. According to the results, this in vivo bioelectronic tongue in combination with BMI presents a promising method in highly sensitive bitterness detection and is supposed to provide new platform in measuring bitterness degree. (C) 2015 Elsevier B.V. All rights reserved.
机译:动物的味觉系统已被公认为是最敏感的化学传感系统之一,尤其是因为它具有检测苦味的能力。由于苦味通常象征着不可食性,因此研究了使用啮齿动物的味觉系统检测苦味化合物的潜力。在这项工作中,通过使用脑机接口(BMI)技术将微电极阵列与大鼠的味觉皮质长期耦合,从而记录了一组神经元的细胞外电位。由于跨试验的稳定响应模式,代表神经网络电生理活动的局部场电势(LFP)被选作目标信号,并进一步分为不同的振荡。结果,不同的口味质量在时域中产生了质量特定的LFP5,这表明了这种体内生物电子舌的选择性。同时,在频域上的更多定量研究表明,β和低伽马振荡的后刺激能力显示出与典型的苦味化合物苯甲酸地那铵的浓度有关,推断出的检测限为0.076 M,是两个数量级低于以前的体外生物电子舌和常规电子舌。根据结果​​,这种体内生物电子舌与BMI结合提供了一种有前途的高灵敏度苦味检测方法,并有望为测量苦味程度提供新的平台。 (C)2015 Elsevier B.V.保留所有权利。

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