NEW JOURNAL OF CHEMISTRY
·
2022
·Vol. 46
·期 19
·9389-9396
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IF 3.925
Yuanyuan Yao,Dongze Li,Shaohua Jin,Zifeng Wang,Dongxu Wang,Qinghai Shu
Strong corrosiveness to metals is the main factor restricting the widespread application of the insensitive explosive 3-nitro-1,2,4-triazole-5-one (NTO). Herein, MXene rich in active functional groups was obtained by selective etching of Ti3AlC2, and fine-grained MXene/NTO composites with rod-like morphology were prepared by recrystallization. The incorporation of MXene not only significantly reduced the particle size of explosives from 25 to 8 μm, but also weakened the impact sensitivity from 32% to 20% and friction sensitivity from 28% to 16%. Meanwhile, the enhanced corrosion resistance and thermal stability of the resulting NTO/MXene composites benefited from the introduction of MXene. The corrosiveness of NTO aqueous solution to metals was due to the easy ionization of hydrogen in the molecular structure, MXene with active groups combined with hydrogen atoms in NTO by non-covalent bonds, resulting in difficult hydrogen ionization and corrosion resistance without changing the chemical properties of explosives. The good thermal conductivity of MXene endowed NTO with improved thermal stability and promoted the crystallization of NTO as a nucleating agent. These insensitive explosives with good comprehensive properties would be the mainstay of the upgrading of weapons and equipment.
研究领域:
材料科学
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炸药工程
·
化学
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产品关联
DOI
高影响因子
EUROPEAN POLYMER JOURNAL
·
2022
·
IF 5.546
Xinyue Deng,Shuai Xie,Wentang Wang,Chunhui Luo,Faliang Luo
Bearing several merits including resemblance to tissues, tunable conductivity, and mechanical flexibility, conductive hydrogels have been widely applied in wearable sensors, implantable bioelectronics, artificial skins, etc. However, the fragile nature, lack of self-healing capability, and insufficient sensitivities at low strains of traditional conductive hydrogels cannot meet the increasing demands of flexible electronics. Here, carbon nanotubes (CNTs) were dispersed in water with the assistance of bis benzyl-modified polyethylene glycol (B-PEG 181 ), which served as additional cross-linkers to prepare hydrogel by introducing acrylamide (AM) and N , N’ -methylene bisacrylamide (MBAA). The synergy of physical entanglements and π-π interactions led to extreme stretchability (0∼132 mm/mm) and self-healable capability. In addition, the introduction of CNTs and lithium chloride endowed the hydrogel with ultra-high sensitivity (GF = 122.7, at 6.0∼8.0 mm/mm strain), superior to present sensors. Consequently, the obtained sensor could detect various human motions. It is envisioned that the remarkable performances empower the obtained gel promising applications in strain sensors, human-machine interfaces, and soft robots.
研究领域:
材料科学
·
生物医学工程
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DOI
高影响因子
Nature Communications
·
2024
·Vol. 15
·期 1
·1-11
·
IF 14.7
Mei Shuxing,Yi Haokun,Zhao Jun,Xu Yanting,Shi Lan,Qin Yajie,Jiang Yizhou,Guo Jiajie,Li Zhuo,Wu Limin
While accurate mapping of strain distribution is crucial for assessing stress concentration and estimating fatigue life in engineering applications, conventional strain sensor arrays face a great challenge in balancing sensitivity and sensing density for effective strain mapping. In this study, we present a Fowler-Nordheim tunneling effect of monodispersed spiky carbon nanosphere array on polydimethylsiloxane as strain sensor arrays to achieve a sensitivity up to 70,000, a sensing density of 100 pixel cm −2 , and logarithmic linearity over 99% within a wide strain range of 0% to 60%. The highly ordered assembly of spiky carbon nanospheres in each unit also ensures high inter-unit consistency (standard deviation ≤3.82%). Furthermore, this sensor array can conformally cover diverse surfaces, enabling accurate acquisition of strain distributions. The sensing array offers a convenient approach for mapping strain fields in various applications such as flexible electronics, soft robotics, biomechanics, and structure health monitoring.
研究领域:
材料科学
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工程学
·
柔性电子
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产品关联
DOI
PubMed
高影响因子
IEEE SENSORS JOURNAL
·
2024
·
IF 4.3
Bichan Huang,Yingjie Niu,Dejin Yan,Xiaoming Chen,Teng Ma,Zhenxiang Xiong,Zihang Wang,Hui Cheng,Chenglin Yi
The rising demand for lightweight and flexible pressure sensors with sensitive sensing capabilities and resistance to high temperature is evident across various applications. However, effectively integrating these advantages in a harmonious manner poses a significant challenge. Here, an ultralight graphene oxide (GO)/MXene aerogel with low density (19 mg/cm3) has been fabricated, demonstrating excellent temperature resilience ranging from -55 °C to 300 °C. The flexible piezoresistive sensor is developed utilizing a simple vacuum freeze-drying method. The as-obtained flexible pressure sensor exhibits a notable sensitivity of 62.65 kPa
-1
, a rapid response time of 55 ms, a wide detection range of 0.2 Pa to 23 kPa, and commendable durability verified by over 5000 loaded-unloaded cycles (up to 40% strain). The sensor can detect human movements including wrist bending, finger picking, swallowing and blowing. It has exhibited exceptional pressure sensing capabilities over a wide range of -55 °C to 300 °C. The proposed polymer-free aerogel is anticipated to exhibit a broad range of temperature resistance, enhancing its potential for future applications such as energy storage and aerospace.
研究领域:
材料科学
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传感器技术
✓ 已验证
产品关联
DOI
高影响因子
ACS Applied Electronic Materials
·
2023
·
IF 4.7
Guifen Sun,Yongxiang Jiang,Hongchang Sun,Peng Wang,Chuizhou Meng,Shijie Guo
Flexible tactile sensors are under high pursuit for wearable electronics toward healthcare monitoring, human–machine interaction, and artificial intelligence. Permeability and hydrophobicity are emerging unique properties and require significant dedication of research efforts. Herein, we develop a type of flexible, breathable, and waterproof iontronic tactile sensor based on a nonwoven fabric platform using a facile dip-drying and solution-spraying technique. The intrinsic open-ended porous structure of the fabric offers air permeability (∼224.9 mm s–1), and the stearic acid microsheets decorated on the outside of the sensor provides effective hydrophobic protection (water contact angle ∼151.9°). The designed electrode-to-electrolyte interfacing microstructures of MXene microspheres and nanosheets on the fabric electrodes and the hierarchical structures with conical secondary features of chrysanthemum pollen on the fabric electrolyte endow the sensor with a high sensitivity of 214.92 kPa–1 and a wide detection range of 0–45 kPa. Fast response time, low detection limit, good dynamic response, and excellent stability are also achieved. With the help of a home-built mechatronic sensing system, the developed fabric tactile sensor can be practically used either as sensor units for human health status monitoring and motion detection or as a sensor array for spatial pressure distribution identification of human–object interaction.
研究领域:
材料科学
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生物医学工程
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可穿戴设备
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产品关联
DOI
高影响因子
ANALYTICAL CHEMISTRY
·
2025
·
IF 6.7
Xin Xin,Junjun Wu,Qiang Ling,Xun Zhu,Qiang Liao
Bioinspired polydopamine (PDA) nanocoating poses one important measure to precisely customize functionalized surfaces, while its dynamic growth characteristics are still not fully understood. Herein, we develop a high-sensitivity and rapid-response fiber-optic modal interferometer (FMI) to operando probe the growth dynamics of PDA nanocoating at the solid–liquid interface. The proposed FMI was treated with HF corrosion to enhance the surface evanescent field, thereby improving the surface refractive index sensitivity. Thus, the FMI successfully monitored the adhesion behavior of the polydopamine coating on the surface of the optical fiber and the subsequent adsorption of biomolecules. Through further analysis of surface evanescent wave field, a model was established to correlate FMI’s interference spectra with PDA nanocoating’s thickness. The accuracy of these results was validated through multiple ex situ characterization and spectroscopic techniques. Finally, the fiber-optic modal interferometer successfully revealed growth kinetic characteristics of the PDA coating induced by CuSO4/H2O2 under diverse operational conditions. This work may advance the evolution of surface-sensitive measurement technologies and surface phenolic chemistry.
研究领域:
生物材料学
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表面科学
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分析化学
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生物医学工程
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纳米技术
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光学传感
✓ 已验证
产品关联
DOI
PubMed
高影响因子
Chemistry-An Asian Journal
·
2024
·
IF 3.5
Hanlin Zhai,Chen Yue,Zhangpeng Li,Limin Ma,Tingting Wang,Hong Zhang,Jinqing Wang,Shengrong Yang
A superelastic self–healing eutectogel was designed and prepared using poly (vinyl alcohol) (PVA) as the bulk skeleton material, while silk fibroin (SF) and two–dimensional (2D) MXene (Ti 3 C 2 T X ) as reinforcing fillers. In brief, the eutectogel possesses a high tensile strength of 7.63 MPa, and its elongation at break reached 1115.2%, higher than most reported polymers (<1000%). In addition, the eutectogel–assembled sensor has a high ionic conductivity of 0.61 S/m and a high strain sensitivity of 5.17 kPa −1 . Moreover, eutectogel shows excellent self–healing ability and can achieve self–healing quickly within 10 min, while its tensile strength and elongation at break can be restored to 84.7% and 97.4% of the initial levels. Besides, a stable electrical signal can be transmitted after 200 cycles at 30% strain. Finally, the eutectogel can withstand various environmental conditions, such as atmospheric or even vacuum evaporation and low–temperature freezing, while maintaining good mechanical and sensing performances. The assembled flexible sensors based on the eutectogel demonstrate their significant application prospects in wearable devices, especially human physiological monitoring.
研究领域:
材料科学
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纳米技术
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高分子科学
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传感器
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可穿戴设备
✓ 已验证
产品关联
DOI
PubMed
高影响因子
AQUATIC TOXICOLOGY
·
2018
·
IF 3.884
Jinfeng Liu,Chenyan Xiang,Wenhao Huang,Jingyi Mei,Limei Sun,Yuhang Ling,Caihong Wang,Xuedong Wang,Randy A. Dahlgren,Huili Wang
Triclosan (TCS) is a prevalent anthropogenic contaminant in aquatic environments and its chronic exposure can lead to a series of neurotoxic effects in zebrafish. Both qRT-PCR and W-ISH identified that TCS exposure resulted in significant up-regulation of miR-137, but downregulation of its regulatory genes ( bcl11aa , MAPK6 and Runx1 ). These target genes are mainly associated with neurodevelopment and the MAPK signaling pathway, and showed especially high expression in the brain. After overexpression or knockdown treatments by manual intervention of miR-137, a series of abnormalities were induced, such as ventricular abnormality, bent spine, yolk cyst, closure of swim sac and venous sinus hemorrhage. The most sensitive larval toxicological endpoint from intervened miR-137 expression was impairment of the central nervous system (CNS), ventricular abnormalities and notochord curvature. Microinjection of microRNA mimics or inhibitors of miR-137 both caused zebrafish malformations. The posterior lateral line neuromasts became obscured and decreased in number in intervened miR-137 groups and TCS-exposure groups. Up-regulation of miR-137 led to more severe neurotoxic effects than its down-regulation. Behavioral observations demonstrated that both TCS exposure and miR-137 over-expression led to inhibited hearing or vision sensitivity. HE staining indicated that hearing and vision abnormalities induced by long-term TCS exposure originated from CNS injury, such as reduced glial cells and loose and hollow fiber structures. The findings of this study enhance our mechanistic understanding of neurotoxicity in aquatic animals in response to TCS exposure. These observations provide theoretical guidance for development of early intervention treatments for nervous system diseases.
研究领域:
毒理学
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神经科学
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水生生物学
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分子生物学
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产品关联
DOI
PubMed
高影响因子
RSC Advances
·
2020
·Vol. 10
·期 12
·7241-7250
·
IF 3.119
Tingting Tu,Bo Liang,Qingpeng Cao,Lu Fang,Qin Zhu,Yu Cai,Xuesong Ye
With the growing number of patients suffering from noninfectious chronic diseases, the consumption of point of care testing strips increases exponentially, particularly blood glucose testing strips, causing an increasingly severe conflict between strip recycling and the environment. In this paper, fully transient electrochemical strips are developed as a substitute for non-degradable strips. Proper explorations were made, including finding out suitable degradable substrates for strip-making among different degradable materials and optimization of degradable conducting paste. Taking advantage of dissolvable polymer-based materials and nontoxic carbon materials, the transient strips have validated electrochemical functionality to determine physiological levels of glucose with a sensitivity of 14.33 μA mM−1 cm−2 (correlation coefficient R2 is 0.99498) and reached full-degradation within a week after disposal. The interference experiment (negligible interference current response under 7%) and recovery tests (recovery ratio ranging from 92.46% to 102.47%) have illustrated its practical application in real sample detection. Such degradable-characterized testing strips can be widely used in chronic disease management with daily eco-friendly point of care testing, without potential pollution to the environment.
研究领域:
生物医学工程
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环境科学
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材料科学
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分析化学
✓ 已验证
产品关联
DOI
PubMed
高影响因子
CARBOHYDRATE POLYMERS
·
2023
·
IF 11.2
Jingjing Luo,Feihua Liu,Ao Yin,Xue Qi,Jiang Liu,Zhongqi Ren,Shiqiang Zhou,Yuxin Wang,Yang Ye,Qingzhi Ma,Junjun Zhu,Kang Li,Chen Zhang,Weiwei Zhao,Suzhu Yu,Jun Wei
Lightweight and highly compressible materials have received considerable attention in flexible pressure sensing devices. In this study, a series of porous woods (PWs) are produced by chemical removal of lignin and hemicellulose from natural wood by tuning treatment time from 0 to 15 h and extra oxidation through H 2 O 2 . The prepared PWs with apparent densities varying from 95.9 to 46.16 mg/cm 3 tend to form a wave-shaped interwoven structure with improved compressibility (up to 91.89 % strain under 100 kPa). The sensor assembled from PW with treatment time of 12 h (PW-12) exhibits the optimal piezoresistive-piezoelectric coupling sensing properties. For the piezoresistive properties, it has high stress sensitivity of 15.14 kPa −1 , covering a wide linear working pressure range of 0.06–100 kPa. For its piezoelectric potential, PW-12 shows a sensitivity of 0.443 V·kPa −1 with ultralow frequency detection as low as 0.0028 Hz, and good cyclability over 60,000 cycles under 0.41 Hz. The nature-derived all-wood pressure sensor shows obvious superiority in the flexibility for power supply requirement. More importantly, it presents fully decoupled signals without cross-talks in the dual-sensing functionality. Sensor like this is capable of monitoring various dynamic human motions, making it an extremely promising candidate for the next generation artificial intelligence products.
研究领域:
材料科学
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传感器技术
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生物医学工程
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机械工程
✓ 已验证
DOI
高影响因子
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
·
2024
·Vol. 31
·期 17
·25114-25128
·
IF 0
Qi Qi,Wang Zhuang
Assessment and prediction for the ecotoxicity of engineered nanoparticles (ENPs) at the community or ecosystem levels represents a critical step toward a comprehensive understanding of the ecological risks of ENPs. Current studies on predicting the ecotoxicity of ENPs primarily focus on the cellular and individual levels, with limited exploration at the community or ecosystem levels. Herein, we present the first of the reports for the direct prediction of aquatic ecological risk for ENPs at the community level using machine learning (ML) approaches in the field of computational toxicology. Specifically, we extensively collected the threshold concentrations of twelve ENPs including metal- and carbon-based nanoparticles for aquatic species, i.e., hazardous concentrations at which 5% of species are harmed (HC 5 ), established by a species sensitivity distribution. Afterwards, we used eight supervised ML methods including Adaboost, artificial neural network, C4.5 decision tree, K-nearest neighbor, logistic regression, Naive Bayes, random forest, and support vector machine to develop nine classification models and four regression models, respectively, for the qualitative and quantitative prediction of HC 5 . The evaluation of model performance yielded the internal validation accuracy of all classification models ranging from 71.4 to 100%, and the determination coefficient of regression models ranging from 0.702 to 0.999, indicating that the developed models showed good performance. By using a cross-validation method and an application domain characterization, the selected models were further validated to have powerful predictive ability. Furthermore, the incorporation of three nanostructural descriptors (metal oxide sublimation enthalpy, zeta potential, and specific surface area) linked to toxicity mechanisms (the release of metal ions, the stability of dispersions of particles in aqueous suspensions, and the surface properties of the material) effectively enhanced the prediction power and mechanistic interpretability of the selected models. These findings would not only be beneficial in the screening of ENPs with potential high ecological risks that need to be tested as a priority but also contribute to the development of environmental regulations and standards for ENPs.
研究领域:
计算毒理学
·
环境科学
·
纳米毒理学
·
机器学习应用
·
生态风险评估
✓ 已验证
DOI
LANGMUIR
·
2023
·
IF 3.9
Hao Zhang,Dongzhi Zhang,Huixin Luan,Zihu Wang,Pengfei Zhang,Guangshuai Xi,Xinyi Ji
The conductive hydrogel as a flexible sensor not only has certain mechanical flexibility but also can be used in the field of human health detection and human–computer interaction. Herein, by introduction of tannic acid (TA) with MXene into the polyacrylamide (PAM)/carboxymethyl chitosan (CMC) double-network hydrogel, a hydrogel with high stretchability, self-adhesion, and high sensitivity was prepared. CMC and PAM form a semi-interpenetrating double-network of high toughness and durability through electrostatic interactions and multiple hydrogen bonding networks. The abundant hydrophilic functional groups on TA and MXene form multiple hydrogen bonds simultaneously with the polymer network, ensuring high stretchability and sensitivity of the hydrogel. The hydrogel can display an accurate response to a variety of stimulus signals and can monitor both human joint movements and small physiological signal changes. It can also be combined with deep learning algorithms to classify handwritten digits with an accuracy rate of 98%. This work can promote the application of hydrogel sensors with durability and high sensitivity. The combination of algorithms and flexible sensors provides important ideas for the further development of flexible devices.
研究领域:
材料科学
·
生物医学工程
·
传感技术
·
人工智能
·
机械工程
✓ 已验证
产品关联
DOI
PubMed
高影响因子