Face mask integrated with flexible and wearable manganite oxide respiration sensor

Ye, Lianxu; Wu, Fan; Xu, Ruixing; Zhang, Di; Lu, Juanjuan; Wang, Chuanlong; Dong, Anjiang; Xu, Sichen; Xue, Lejun; Fan, Zixin; Xu, Longjie; Li, Kaifeng; Liu, Dong; Kuršumović, A.; Zhao, Run; Tang, Rujun; Qiu, Lei; Wang, Haiyan; MacManus‐Driscoll, Judith L.; Jing, Qingshen; Li, Weiwei; Yang, Hao

doi:10.1016/j.nanoen.2023.108460

Cited by 26 publications

(5 citation statements)

References 55 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…( Cd ) The obtained data are used for further processing and analysis. Reprinted from [ 190 ] under the terms of the Creative Commons CC-BY license.…”

Section: Overview Of Recent Innovations Addressing Different Challengesmentioning

confidence: 99%

“…Lastly, Ye et al [ 190 ] developed a flexible La

MnO

(LSMO)/Mica respiration sensor integrated into a face mask, enabling effective human breath monitoring with multi-modal capabilities and stability. It demonstrated the ability to discern different breath statuses (cough, normal breath, deep breath) and paves the way for novel flexible and wearable electronic devices in personal and public health applications.…”

Section: Overview Of Recent Innovations Addressing Different Challengesmentioning

confidence: 99%

See 1 more Smart Citation

Recent Progress in Micro- and Nanotechnology-Enabled Sensors for Biomedical and Environmental Challenges

Tovar-Lopez

2023

Sensors

View full text Add to dashboard Cite

Micro- and nanotechnology-enabled sensors have made remarkable advancements in the fields of biomedicine and the environment, enabling the sensitive and selective detection and quantification of diverse analytes. In biomedicine, these sensors have facilitated disease diagnosis, drug discovery, and point-of-care devices. In environmental monitoring, they have played a crucial role in assessing air, water, and soil quality, as well as ensured food safety. Despite notable progress, numerous challenges persist. This review article addresses recent developments in micro- and nanotechnology-enabled sensors for biomedical and environmental challenges, focusing on enhancing basic sensing techniques through micro/nanotechnology. Additionally, it explores the applications of these sensors in addressing current challenges in both biomedical and environmental domains. The article concludes by emphasizing the need for further research to expand the detection capabilities of sensors/devices, enhance sensitivity and selectivity, integrate wireless communication and energy-harvesting technologies, and optimize sample preparation, material selection, and automated components for sensor design, fabrication, and characterization.

show abstract

“…( Cd ) The obtained data are used for further processing and analysis. Reprinted from [ 190 ] under the terms of the Creative Commons CC-BY license.…”

Section: Overview Of Recent Innovations Addressing Different Challengesmentioning

confidence: 99%

“…Lastly, Ye et al [ 190 ] developed a flexible La

MnO

Section: Overview Of Recent Innovations Addressing Different Challengesmentioning

confidence: 99%

Recent Progress in Micro- and Nanotechnology-Enabled Sensors for Biomedical and Environmental Challenges

Tovar-Lopez

2023

Sensors

View full text Add to dashboard Cite

show abstract

“…Humidity is one of the most essential physiological indicators, which play key roles in health management and contactless human machine interfaces, holding great potential to revolutionize state-of-the-art lifestyle. 1–4 For instance, monitoring the parameters of respiration, including the rhythm, 5,6 frequency, 7 and intensity, 8 is extremely useful to diagnose heart diseases and prevent respiratory failure. Nevertheless, most of the reported humidity sensor systems have separate humidity sensors for collecting sensory information as the analogue signal, analogue-to-digital conversion (ADC) to transform data into digital form, a memory unit to store the information, and processing units to retrieve data for further calculation (Fig.…”

Section: Introductionmentioning

confidence: 99%

An in-sensor humidity computing system for contactless human–computer interaction

Qi,

Xu,

Ding

et al. 2024

Mater. Horiz.

View full text Add to dashboard Cite

show abstract

“…With the advent of the "Artificial Intelligence" era, state-of-the-art intelligent robots endowed with human-like sensory capabilities have garnered increasing attention. Drawing inspiration from bioreceptors in biological organisms, tactile sensors that exhibit high responsiveness to external physical stimuli [e.g., pressure (1,2), temperature (3), and humidity (4)] in the environment have demonstrated applications in a wide range of bionic electronics, including but not limited to aircraft, humanoid robots, exploration robots, prosthetics, and actuators (5)(6)(7)(8). However, despite their capability to perceive precontact stimuli and pressure magnitude, these sensors failed to differentiate object types, assess softness, and quantify Young's modulus magnitude (9)(10)(11).…”

Section: Introductionmentioning

confidence: 99%

Biomimetic bimodal haptic perception using triboelectric effect

He,

Dai,

Wan

et al. 2024

Sci. Adv.

View full text Add to dashboard Cite

Multimodal haptic perception is essential for enhancing perceptual experiences in augmented reality applications. To date, several artificial tactile interfaces have been developed to perceive pressure and precontact signals, while simultaneously detecting object type and softness with quantified modulus still remains challenging. Here, inspired by the campaniform sensilla on insect antennae, we proposed a hemispherical bimodal intelligent tactile sensor (BITS) array using the triboelectric effect. The system is capable of softness identification, modulus quantification, and material type recognition. In principle, due to the varied deformability of materials, the BITS generates unique triboelectric output fingerprints when in contact with the tested object. Furthermore, owing to the different electron affinities, the BITS array can accurately recognize material type (99.4% accuracy), facilitating softness recognition (100% accuracy) and modulus quantification. It is promising that the BITS based on the triboelectric effect has the potential to be miniaturized to provide real-time accurate haptic information as an artificial antenna toward applications of human-machine integration.

show abstract

Face mask integrated with flexible and wearable manganite oxide respiration sensor

Cited by 26 publications

References 55 publications

Recent Progress in Micro- and Nanotechnology-Enabled Sensors for Biomedical and Environmental Challenges

Recent Progress in Micro- and Nanotechnology-Enabled Sensors for Biomedical and Environmental Challenges

An in-sensor humidity computing system for contactless human–computer interaction

Biomimetic bimodal haptic perception using triboelectric effect

Contact Info

Product

Resources

About