Pressure and Temperature Dual-Parameter Sensor Based on Natural Wood for Portable Health-Monitoring Devices

Zhang, Huinan; Zhang, Qingchao; Liang, Jie; Li, Bo; Zang, Junbin; Cao, Xiyuan; Gao, Libo; Zhang, Zhidong; Miao, Xiaoyong; Xue, Chenyang

doi:10.1021/acssuschemeng.3c04237

Cited by 6 publications

(1 citation statement)

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…525 Another well-known semi-conducting polymer, PEDOT, shows consistent and increasing growth in journal and patent publications since 2008 (Figure 23). The excellent conducting properties of PEDOT make it particularly well suited for use in nanosensors, examples of which include MXene/CNT/PEDOT composite-based respiratory sensor, 526 sensors composed of wood sponge decorated with SWCNT/PEDOT:PSS capable of detecting pulse and temperature 527 and MXene-PEDOT:PSS-PPy nanosheets used as wearable sensors for real-time monitoring of sweat in terms of sodium and creatinine levels. 527 PANI has been utilized to detect small molecules such as formaldehyde 528 in the form of PANI/Zn bismuthate nanocomposite decorated carbon electrodes; amoxicillin, a penicillin antibiotic, in water bodies as PANI-silver bromide composites 529 ; as mesoporous silicon-PANI nanocomposite to detect levels of thiourea.…”

Section: Institute Of Science and Technology (Kist)mentioning

confidence: 99%

Nanoscale materials at work: Mapping emerging applications in energy, medicine, and beyond

Hughes,

Ganesan,

Tenchov

et al. 2024

Preprint

View full text Add to dashboard Cite

Since their inception in the early 1960s, the use of nanoscale materials has progressed in leaps and bounds, and their role in diverse fields ranging from human health to energy is undeniable. In this report, we utilize the CAS Content Collection, a vast repository of scientific information extracted from journal and patent publications, to identify emerging topics in this field. This involves understanding trends, such as the growth of certain topics over time, as well as establishing relationships between emerging topics. We achieved this by using a host of strategies including a quantitative natural language processing (NLP) approach to identify 279 emerging topics and sub-topics across three major categories – materials, applications, and properties – by surveying roughly 3 million publications in the nanoscience landscape. This wealth of information has been condensed into several conceptual mind maps and other graphs that provide metrics related to the growth of identified emerging concepts, group them into hierarchical classes, and explore the connections between them. We delved deeper into four major emerging applications of nanoscale materials – drug delivery, sensors, energy, and catalysis – to provide a more comprehensive and detailed picture of the use of nanotechnology in these fields. In addition, we leveraged the CAS registry, consisting of over 250 million substances, to determine and discover substances across varied classes (such as polymers, elements, organic/inorganic molecules) and how they are utilized in the 4 major applications. Our extensive analysis taking advantage of an NLP-based approach along with robust CAS indexing provides valuable insights in the field that we hope can help to inform and drive future research efforts.

show abstract

Section: Institute Of Science and Technology (Kist)mentioning

confidence: 99%

Nanoscale materials at work: Mapping emerging applications in energy, medicine, and beyond

Hughes,

Ganesan,

Tenchov

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

Decoupled Temperature–Pressure Sensing System for Deep Learning Assisted Human–Machine Interaction

Chen,

Liu,

Kang

et al. 2024

Adv Funct Materials

View full text Add to dashboard Cite

With the rapid development of intelligent wearable technology, multimodal tactile sensors capable of data acquisition, decoupling of intermixed signals, and information processing have attracted increasing attention. Herein, a decoupled temperature–pressure dual‐mode sensor is developed based on single‐walled carbon nanotubes (SWCNT) and poly(3,4‐ethylenedioxythiophene): poly(styrenesulfonate) (PEDOT:PSS) decorated porous melamine foam (MF), integrating with a deep learning algorithm to obtain a multimodal input terminal. Importantly, the synergistic effect of PEDOT:PSS and SWCNT facilitates the sensor with ideal decoupling capability and sensitivity toward both temperature (38.2 µV K−1) and pressure (10.8% kPa−1) based on the thermoelectric and piezoresistive effects, respectively. Besides, the low thermal conductivity and excellent compressibility of MF also endow it with the merits of a low‐temperature detection limit (0.03 K), fast pressure response (120 ms), and long‐term stability. Benefiting from the outstanding sensing characteristics, the assembled sensor array showcases good capacity for identifying spatial distribution of temperature and pressure signals. With the assistance of a deep learning algorithm, it displays high recognition accuracy of 99% and 98% corresponding to “touch” and “press” actions, respectively, and realizes the encrypted transmission of information and accurate identification of random input sequences, providing a promising strategy for the design of high‐accuracy multimodal sensing platform in human–machine interaction.

show abstract

Durable TPU/PDA/MXene Fiber‐Based Strain Sensors with High Strain Range and Sensitivity

Cheng,

Zhang,

Zhang

et al. 2024

ChemistrySelect

View full text Add to dashboard Cite

With the development of the ageing society, wearable strain sensors have great application prospects in the fields of health detection, artificial intelligence, and motion recognition. However, traditional forms of film‐like strain sensors suffer from low sensitivity, adhesion, and impermeability during use, which severely limit their practical applications. To overcome these problems, we propose a strategy to fabricate polyurethane/polydopamine/MXene (TPU/PDA/MXene) composite fibers by wet spinning. Furthermore, the outside is wrapped with (PDMS), giving mechanical strength and chemical resistance. Through a simple and low‐cost wet spinning process, TPU/PDA/MXene fibers are achieved in the preparation of flexible strain sensors, and they can be woven into various forms with good flexibility and comfort according to practical needs. The results indicated that the prepared flexible strain sensor exhibits a high gauge factor (GF) of 57.15 over a large strain range (300 %), which are superior to those of many fiber‐based sensors. Their application properties were also measured by attaching them to fingers, wrists and knees, showing high sensitivity, mechanical durability and chemical stability, and has great potential for wearable strain sensors and flexible strain sensors in complex environments.

show abstract

Pressure and Temperature Dual-Parameter Sensor Based on Natural Wood for Portable Health-Monitoring Devices

Cited by 6 publications

References 50 publications

Nanoscale materials at work: Mapping emerging applications in energy, medicine, and beyond

Nanoscale materials at work: Mapping emerging applications in energy, medicine, and beyond

Decoupled Temperature–Pressure Sensing System for Deep Learning Assisted Human–Machine Interaction

Durable TPU/PDA/MXene Fiber‐Based Strain Sensors with High Strain Range and Sensitivity

Contact Info

Product

Resources

About