ACS Applied Materials & Interfaces
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2024
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IF 8.3
Lu Ju,Buyun Yu,Hao Chen,Zhida Xiao,Wei Xiang,Junlin Zhan,Chao Zhang,Zhenguo Liu,Li Tao,Weibing Lu
As a noncontact target recognition technique, radio-frequency identification (RFID) technology demonstrates attractive potential in constructing human–machine interaction (HMI) systems. However, the current development of RFID technologies in HMI systems is hampered by critical challenges in manufacturing high-performance RFID readers with superior flexibility and wearing comfort. Hence, we propose a multilevel printing strategy to overcome the difficulties in manufacturing high-performance large-scale microwave systems. Compared to traditional processes, the RFID system fabricated by the hybrid additive manufacturing technique exhibits equivalent electromagnetic performance and has obvious advantages in terms of manufacturing cost and environmental friendliness. A printed reconfigurable antenna with intelligent radiation mode is seamlessly integrated with the reader circuit via a “one-step” printing technology. Additionally, through chemical doping and artificial intelligence (AI) prediction, we have developed a modified polydimethylsiloxane (PDMS) encapsulation to miniaturize the system volume and enhance reliability. Electromagnetic and mechanical measurements demonstrated that our flexible RFID platform offers superior reliability and stability during long-term daily use. The RFID platform possesses exceptional capabilities in target positioning and accurate identification, demonstrating unique potential in noncontact sensing and recognition, which are highly demanded by flexible and wearable HMI systems.
研究领域:
电子工程
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材料科学
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人工智能
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PubMed
高影响因子
TALANTA
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2024
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IF 5.6
Wenying Huang,Yali Wu,Chunqiu Xia,Liangqia Guo
Typical fluorescent biosensors use fluorescently labeled ssDNA for target recognition and nanomaterials for signal transduction. Herein, we propose a reverse sensing strategy that Mo 5 N 6 nanosheets are used for target recognition while fluorescein (FAM)-labeled ssDNA only serves for signal generation. We discover that Mo 5 N 6 nanosheets show high fluorescence quenching ability (>95%) and selective recognition for sodium hexametaphosphate (SHMP). After FAM-labeled ssDNA is adsorbed on Mo 5 N 6 nanosheets, the fluorescence is quenched due to the photoinduced electron transfer (PET) effect between FAM and Mo 5 N 6 nanosheets. SHMP can specifically displace the adsorbed FAM-labeled ssDNA from Mo 5 N 6 nanosheets, resulting in more than 80% fluorescence recovery on addition of 5 μmol L −1 SHMP. This biosensor can sensitively detect SHMP down to 150 nmol L −1 and selectively recognize SHMP over glucose, lactose, common amino acids, Zn 2+ , Mg 2+ , Ca 2+ and other phosphates (such as Na 2 HPO 4 , sodium pyrophosphate, sodium tripolyphosphate). This biosensor also shows great potential for the detection of SHMP in bacon sample. This work not only provides a facile sensitive and selective biosensor for SHMP but also exploits the application of transition metal nitrides in the field of sensing and biosensing.
研究领域:
分析化学
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生物传感
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材料科学
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PubMed
高影响因子
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
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2021
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IF 4.098
Yuqi Wan,Qingli Chai,Yanyun Zou,Guobin Mao,Jinyang Chen
In this work, an environmentally-friendly and versatile nanobeacon was constructed by utilizing DNA-templated copper nanoparticles (CuNPs) as fluorescence signal source. As the key component of the nanobeacon, a hairpin DNA was designed to contain four segments: two segments for CuNPs template sequence, a target recognition segment and a blocking segment. At room temperature, the target recognition segment partly hybridizes with the blocking segment and thus prohibits the formation of double stranded DNA template, so that no CuNPs can be generated on the hairpin DNA. While a target is introduced, the specific binding of target with recognition sequence triggers off the conformational transformation of the hairpin DNA, which contributes to the formation of the CuNPs template. As a result, the in-situ generation of CuNPs gives birth to the fluorescence signal readout that can be used to identify the target. By reasonably varying the recognition sequence within hairpin DNA, a series of nanobeacons in response to corresponding targets, such as DNA, microRNA, thrombin, and ATP, were put forward with satisfactory sensitivity and selectivity. Moreover, this nanobeacon was also integrated with the strategy of enzyme-assisted target-recycling to realize signal amplification and ultrasensitive detection, which further demonstrated the versatility of the nanobeacon. This novel nanobeacon is expected to be a promising alternative to classical dye-labeled molecular beacon and provide new perspective on ultrasensitive fluorescence sensing.
研究领域:
生物化学
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纳米技术
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分子生物学
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分析化学
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PubMed
高影响因子
CHEMICAL ENGINEERING JOURNAL
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2025
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IF 13.2
Rui Wu,Youjiang Pan,Hailong Hu,Tailiang Guo,Fushan Li
State-of-the-art reservoir computing (RC) systems rely on preprocessed images as the input layer’s signal source, lacking the capacity to directly identify physical targets. In this study, we develop a near-infrared sensor RC system tailored for direct physical target detection. This system integrates a lead sulfide quantum dots (PbS QDs)-based near-infrared sensor array, zinc oxide (ZnO)-based memristors, and peripheral circuits. The PbS QDs sensor array serves as the signal source of the input layer of the RC system, capturing image information through near-infrared light and converting it into a temporal signal that is input into a reservoir composed of ZnO memristors. Memristors exhibit robust resistance switching stability and synaptic characteristics, enabling superior reservoir state separation within RC systems. The results demonstrate that the recognition accuracy for 5 × 4 digital images exceeds 88 %. This system provides a promising way for the future development of intelligent infrared cameras and shows its potential in complex target recognition.
研究领域:
神经形态工程
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光学传感
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人工智能硬件
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储层计算
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图像识别
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高影响因子
CHEMICAL ENGINEERING JOURNAL
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2024
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IF 13.3
Zhiwei Chen,Zheng Zhao,Jiaming Yuan,Qiaoxuan Zhang,Yufeng Wu,Qingjin Wu,Yuheng Liao,Jia-Huan Qu,Ning Gan,Zhengjin Jiang,Qiqin Wang
Polymeric supramolecular assemblies (PSAs) exhibit excellent chemical stability, mechanical integrity, and multifunctionality, which could drive the development of biosensors. However, trapped by the significant differences in the physicochemical properties and structures of recognition ligands and signal tags, PSAs that simultaneously carry ligands and signals have rarely been reported for bioanalysis. In this study, an amphiphilic block copolymer (PVIM-b-PFMMA) was controllably synthesized by reversible addition fragmentation chain transfer (RAFT) radical polymerization for the first time. The resultant copolymer can self-assemble into highly electroactive supramolecular nanoprobes (eSNPs) with integrated target recognition and signal amplification functions. Compared to traditional electroactive probes based on conductive nanomaterials or enzyme catalysis, these versatile eSNPs avoid disadvantages including high cost, tedious modification, low load capacity and leakage of signal tags. For the rapid, sensitive and accurate monitoring of rituximab in biological fluids, a new electrochemical biosensor was constructed by coupling eSNPs with mimotope peptide CN14-modified screen-printed gold electrodes. The developed biosensor achieved a limit of detection (LOD) as low as 25 pg/mL and was successfully used to monitor rituximab concentration in a series of serum samples from non-Hodgkon’s lymphoma patients. Compared with commercial enzyme-linked immunosorbent assay (ELISA) and previously reported methods, the proposed biosensor demonstrated higher sensitivity, lower cost, simpler operation and more efficient preparation, owing to the unique superiority of eSNPs. Overall, this study presents a promising pathway for developing PSAs-based biosensors and their applications in bioanalysis.
研究领域:
生物传感器
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纳米技术
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电化学
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癌症诊断
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聚合物材料
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DOI
高影响因子
危险品化学品经营许可证（带存储）