Search research articles

关于 JoVE

概览领导团队博客 JoVE 帮助中心

作者

出版流程编辑委员会范围与政策同行评审常见问题投稿

图书馆员

用户评价订阅访问资源图书馆顾问委员会常见问题

研究

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments 存档

教育

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual 教师资源中心教师网站

使用条款与条件

相关概念视频

Olfaction

Olfaction

The sense of smell is achieved through the activities of the olfactory system. It starts when an airborne odorant enters the nasal cavity and reaches olfactory epithelium (OE). The OE is protected by a thin layer of mucus, which also serves the purpose of dissolving more complex compounds into simpler chemical odorants. The size of the OE and the density of sensory neurons varies among species; in humans, the OE is only about 9-10 cm2.
The olfactory receptors are embedded in the cilia of the...

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序

Same author

Incorporation of Engineered Cu<sup>0</sup>/Cu<sup>+</sup> Interfaces in Metal-Organic Frameworks for Boosting CO<sub>2</sub> Hydrogenation to Methanol.

Angewandte Chemie (International ed. in English)·2026

Same author

Towards the construction of a virtual yeast.

Nature·2026

Same author

Fine-Tuning Large Language Models for Motivational Interviewing in Health Behavior Change: Development and Evaluation Study.

JMIR formative research·2026

Same author

Real-Time and Non-Invasive Detection of Respiratory Viral Infections Using an Intelligent Odor Monitoring System (IOMS).

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026

Same author

Ultrasensitive Hydrogen Sensor Based on a Non-Stoichiometric Tin Oxide Heterojunction for LIB Thermal Runaway Early Monitoring.

ACS sensors·2026

Same author

Wearable Flexible Sensors for Cardiovascular Disease Monitoring.

Advanced materials (Deerfield Beach, Fla.)·2026

Search research articles

相关实验视频

Updated: May 13, 2026

Multi-unit Recording Methods to Characterize Neural Activity in the Locust Schistocerca Americana Olfactory Circuits

Multi-unit Recording Methods to Characterize Neural Activity in the Locust Schistocerca Americana Olfactory Circuits

Published on: January 25, 2013

使用单个薄膜晶体管进行特定气味编码.

Yanting Tang¹, Bowen Zhou¹, Jingyao Liu¹

¹School of Integrated Circuits, Wuhan National Laboratory for Optoelectronics, Optics Valley Laboratory, Huazhong University of Science and Technology (HUST), Wuhan, Hubei 430074, China.

|April 28, 2025

概括

此摘要是机器生成的。

研究人员开发了一种用于电子鼻子的新编码方法,以提高气味特异性. 这种方法使用薄膜晶体管为不同气体创建独特的矩阵代码,克服人工嗅觉中的交叉敏感性挑战.

关键词:

电子鼻子电子鼻子气味的编码气味的编码半导体气体传感器是一种半导体气体传感器.特殊性的特异性薄膜晶体管是一种薄膜晶体管.

更多相关视频

Perforated Patch-clamp Recording of Mouse Olfactory Sensory Neurons in Intact Neuroepithelium: Functional Analysis of Neurons Expressing an Identified Odorant Receptor

Perforated Patch-clamp Recording of Mouse Olfactory Sensory Neurons in Intact Neuroepithelium: Functional Analysis of Neurons Expressing an Identified Odorant Receptor

Published on: July 13, 2015

Live-cell Measurement of Odorant Receptor Activation Using a Real-time cAMP Assay

Live-cell Measurement of Odorant Receptor Activation Using a Real-time cAMP Assay

Published on: October 2, 2017

相关实验视频

Last Updated: May 13, 2026

Multi-unit Recording Methods to Characterize Neural Activity in the Locust Schistocerca Americana Olfactory Circuits

Multi-unit Recording Methods to Characterize Neural Activity in the Locust Schistocerca Americana Olfactory Circuits

Published on: January 25, 2013

Perforated Patch-clamp Recording of Mouse Olfactory Sensory Neurons in Intact Neuroepithelium: Functional Analysis of Neurons Expressing an Identified Odorant Receptor

Perforated Patch-clamp Recording of Mouse Olfactory Sensory Neurons in Intact Neuroepithelium: Functional Analysis of Neurons Expressing an Identified Odorant Receptor

Published on: July 13, 2015

Live-cell Measurement of Odorant Receptor Activation Using a Real-time cAMP Assay

Live-cell Measurement of Odorant Receptor Activation Using a Real-time cAMP Assay

Published on: October 2, 2017

科学领域:

生物启发的机器嗅觉
化学传感技术化学传感技术
材料科学材料科学材料科学

背景情况:

人类嗅觉受体细胞 (ORC) 具有高特异性,构成强大的气味编码的基础.
电子鼻子 (e-noses) 中的人工ORC旨在复制这种特异性,但由于传感器交叉敏感性而面临挑战.
准确地绘制气体与固体相互作用的地图,以在电子鼻子中感知特定的气味,仍然是一个重大障碍.

研究的目的:

为电子鼻子开发一种新的编码方法,以提高气体的特异性.
为了解决当前气体传感器技术固有的交叉灵敏度限制.
创建适用于各种气体敏感材料的物理可解释的编码系统.

主要方法:

使用薄膜晶体管 (TFT) 来解决气体-固体相互作用的电子转导过程.
基于化学接收和电子转导生成了一个二维矩阵代码.
在概念验证实验中使用硫化量子点和黑作为敏感材料.

主要成果:

在典型的氧化气体之间成功实现了具体的区分.
展示了一种具有固有的物理可解释性的编码方法.
验证了将编码方法扩展到其他气体敏感材料和分析物的潜力.

结论:

开发的基于TFT的矩阵编码方法有效地增强了人工嗅觉系统的特异性.
这种方法为电子鼻子的交叉敏感性问题提供了一个有希望的解决方案.
物理可解释的编码策略可以适应化学传感中的更广泛应用.