Silk Fibroin-Based Biomemristors for Bionic Artificial Intelligence Robot Applications DOI

Chuan Yang,

Hongyan Wang, Kun Wang

et al.

ACS Nano, Journal Year: 2025, Volume and Issue: unknown

Published: April 28, 2025

In the emerging fields of flexible electronics and bioelectronics, protein-based materials have attracted widespread attention due to their biocompatibility, biodegradability, processability. Among these materials, silk fibroin (SF), a protein derived from natural silk, has demonstrated significant potential in biomedical applications such as medical sensing bone tissue engineering, well development advanced biosensors. This is primarily its highly ordered β-sheet structure, mechanical properties, Furthermore, SF-based memristors provided material choice for producing wearable, even implantable bioelectronic devices, which are expected advance intelligent health monitoring, electronic skin (e-skin), brain-computer interface (BCI), other frontier technologies. review systematically summarizes latest research progress concerning structural design, performance optimization, device integration, application prospects, particularly highlighting neuromorphic computing memristive sensors. Concurrently, we objectively analyzed challenges currently faced by prospectively discussed future trends. provides theoretical foundation technological roadmap biomaterials-based memristor aiming realize bioelectronics.

Language: Английский

Ultrathin two-dimensional materials: New opportunities and challenges in ultra-sensitive gas sensing DOI
Yushu Shi,

Lanxiu Ni,

Zhenming Wang

et al.

Coordination Chemistry Reviews, Journal Year: 2024, Volume and Issue: 505, P. 215691 - 215691

Published: Jan. 31, 2024

Language: Английский

Citations

47
Overcoming the Limits of Cross-Sensitivity: Pattern Recognition Methods for Chemiresistive Gas Sensor Array DOI Creative Commons
Haixia Mei, Jingyi Peng, Tao Wang

et al.

Nano-Micro Letters, Journal Year: 2024, Volume and Issue: 16(1)

Published: Aug. 14, 2024

Abstract As information acquisition terminals for artificial olfaction, chemiresistive gas sensors are often troubled by their cross-sensitivity, and reducing cross-response to ambient gases has always been a difficult important point in the sensing area. Pattern recognition based on sensor array is most conspicuous way overcome cross-sensitivity of sensors. It crucial choose an appropriate pattern method enhancing data analysis, errors improving system reliability, obtaining better classification or concentration prediction results. In this review, we analyze mechanism We further examine types, working principles, characteristics, applicable detection range algorithms utilized gas-sensing arrays. Additionally, report, summarize, evaluate outstanding novel advancements methods identification. At same time, work showcases recent utilizing these identification, particularly within three domains: ensuring food safety, monitoring environment, aiding medical diagnosis. conclusion, study anticipates future research prospects considering existing landscape challenges. hoped that will make positive contribution towards mitigating gas-sensitive devices offer valuable insights algorithm selection applications.

Language: Английский

Citations

31
Bio‐Inspired Sensory Receptors for Artificial‐Intelligence Perception DOI
Atanu Bag, Gargi Ghosh,

M. Junaid Sultan

et al.

Advanced Materials, Journal Year: 2024, Volume and Issue: unknown

Published: May 3, 2024

In the era of artificial intelligence (AI), there is a growing interest in replicating human sensory perception. Selective and sensitive bio-inspired receptors with synaptic plasticity have recently gained significant attention developing energy-efficient AI Various their applications perception are reviewed here. The critical challenges for future development outlined, emphasizing need innovative solutions to overcome hurdles sensor design, integration, scalability. can revolutionize various fields, including human-machine interaction, autonomous systems, medical diagnostics, environmental monitoring, industrial optimization, assistive technologies. As advancements sensing continue accelerate, promise creating more intelligent adaptive systems becomes increasingly attainable, marking step forward evolution human-like

Language: Английский

Citations

18
Bionic Olfactory Neuron with In‐Sensor Reservoir Computing for Intelligent Gas Recognition DOI Open Access
Xiaosong Wu, Shuhui Shi,

Jingyan Jiang

et al.

Advanced Materials, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 13, 2025

Gas sensing and recognition are closely related to the sustainable development of human society, current electronic noses (e-noses) typically focus on detecting specific gases, with only a few capable recognizing complex odor mixtures. Further, these sensors often struggle distinguish between isomers homologs, as compounds usually have similar physical chemical properties, yielding nearly identical sensor responses. Even mammalian olfactory systems consisting large variety receptor cells efficient neuron networks sometimes fail in this task. The bottleneck stems from inability extract fingerprints inefficiency signal processing. To address limitations, material-device-algorithm co-design strategy is proposed that integrates an organic field-effect transistor (OFET) array in-sensor reservoir computing (RC) k-nearest neighbors (KNN) algorithm. Organic semiconductors diversify responses different while RC efficiently extracts spatiotemporal features lower training costs reduced energy overhead. This synergy achieves 100% classification accuracy for eight gases 99.04% library 26 including mixtures, isomers, homologs-among highest reported accuracies. work provides groundbreaking hardware solution bionic neurons edge artificial intelligence (AI) functions, surpassing traditional e-noses.

Language: Английский

Citations

3
NiO/ZnO Nanocomposites for Multimodal Intelligent MEMS Gas Sensors DOI
Jiaqing Zhu,

Lechen Chen,

Wangze Ni

et al.

ACS Sensors, Journal Year: 2025, Volume and Issue: unknown

Published: March 24, 2025

Gas sensor arrays designed for pattern recognition face persistent challenges in achieving high sensitivity and selectivity multiple volatile organic compounds (VOCs), particularly under varying environmental conditions. To address these limitations, we developed multimodal intelligent MEMS gas sensors by precisely tailoring the nanocomposite ratio of NiO ZnO components. These demonstrate enhanced responses to ethylene glycol (EG) limonene (LM) at different operating temperatures, demonstrating material-specific selectivity. Additionally, a multitask deep learning model is employed real-time, quantitative detection VOCs, accurately predicting their concentration type. results showcase effectiveness combining material optimization with advanced algorithms real-world VOCs detection, advancing field odor analysis tools.

Language: Английский

Citations

3
Neuromorphic Computing for Smart Agriculture DOI Creative Commons
Siyi Lu, Xinqing Xiao

Agriculture, Journal Year: 2024, Volume and Issue: 14(11), P. 1977 - 1977

Published: Nov. 4, 2024

Neuromorphic computing has received more and attention recently since it can process information interact with the world like human brain. Agriculture is a complex system that includes many processes of planting, breeding, harvesting, processing, storage, logistics, consumption. Smart devices in association artificial intelligence (AI) robots Internet Things (IoT) systems have been used also need to be improved accommodate growth computing. great potential promote development smart agriculture. The aim this paper describe current principles neuromorphic technology, explore examples applications agriculture, consider future route synapses, neurons, neural networks (ANNs). A expected improve agricultural production efficiency ensure food quality safety for nutrition health agriculture future.

Language: Английский

Citations

15
IGZO/WO3−x‐Heterostructured Artificial Optoelectronic Synaptic Devices Mimicking Image Segmentation and Motion Capture DOI
Tong Wu, Song Gao, Yang Li

et al.

Small, Journal Year: 2024, Volume and Issue: 20(27)

Published: Jan. 23, 2024

Abstract Currently, artificial neural networks (ANNs) based on memristors are limited to recognizing static images of objects when simulating human visual system, preventing them from performing high‐dimensional information perception, and achieving more complex biomimetic functions is subject certain limitations. In this work, indium gallium zinc oxide (IGZO)/tungsten (WO 3−x )‐heterostructured optoelectronic synaptic devices mimicking image segmentation motion capture exhibiting high‐performance responses proposed demonstrated. Upon electrical optical stimulations, the device shows a variety fundamental advanced plasticity. Most importantly, outstanding repeatable linear weight changes attained by developed memristor. By taking advantage notable changes, ANNs have been constructed successfully utilized demonstrate two applications in field computer vision, including object tracking. The accuracy memristor‐based similar that algorithms, while its power has significantly reduced 10 5 orders magnitude. With successful emulations brain reactions observing objects, demonstrated memristor related can be effectively constructing show promising potential emulating perception.

Language: Английский

Citations

10
Insight into SnO2-based gas-sensitive materials and readout circuits for semiconductor gas sensors DOI Creative Commons
Weiqi Wang, Jiamu Cao, Dongbo Wang

et al.

Nano Materials Science, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

Citations

2
Memristive Gas Sensor Based on TiO2 Nanosheets for Triethylamine Detection at Room Temperature DOI
Peilun Qiu, Chuqiao Hu, Jianqiao Liu

et al.

ACS Applied Nano Materials, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 14, 2025

Language: Английский

Citations

2
Biomimetic Eu@HOF Photoactivated Sponge as Ultrasensitive Auditory and Olfactory Sensor for Infrasound Wave Monitoring and Bimodal Information Integration DOI
Kai Zhu, Bing Yan

Advanced Functional Materials, Journal Year: 2024, Volume and Issue: 34(32)

Published: March 6, 2024

Abstract The combination of multisensory stimuli in the somatosensory system enables humans to understand object comprehensive characteristics and make precise judgments. However, development auditory–olfactory bimodal flexible biomimetic sensors (FBSs) mimic function biological perception external still presents complex challenges. Herein, an FBS ( 1 2 ) is fabricated based on hydrogen‐bonded organic framework (Eu@HOF‐BPTC) integrated with melamine sponge. During auditory sensing process, can monitor sound a maximum response frequency 400 Hz. performs ultrahigh sensitivity (41335.995 cps Pa −1 cm −2 ), precision (relative standard deviation < 0.20%), ultrafast time (20 ms), ultralow detection limit (1.1039 Hz 0.1083 dB), great recyclability (148 cycles), which also real‐time infrasound waves within 4–20 Based artificial intelligence, as olfactory demonstrates excellent ppm‐level desirable selectivity toward four odor molecules realizes wearable on‐site detection. completes signals integration interoperability by means human–machine interaction. highly promising for implementing interaction, simulating neural system, promoting environmental monitoring, disaster warning health care.

Language: Английский

Citations

9