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Journal of Chemistry · 2021 ·Vol. 2021 ·期 1 ·5685596 · IF 2.506

A New (3, 6)-Connected Heterometallic Coordination Polymer: Therapeutic and Protective Effect on Ischemic Cerebral Infarction

Jia Ma,Jianer Wang,Yuping He,Yiwei Huang,Yejun Chen

Solvothermal reaction of 4,4’,4’-nitrilotribenzoic acid (H 3 TCA) with Ca(NO 3 ) 2 ·4H 2 O and Cd(NO 3 ) 2 ·4H 2 O successfully afforded a heterometallic compound, that is, [Cd 2 Ca(TCA) 2 (DMA) 2 (H 2 O) 3 ] n ·2n(DMA) ( 1 , DMA = N,N’-dimethylacetamide). The structure of 1 was further characterized through EA, diffraction of single crystal X-ray, and thermogravimetric analysis (TGA) together with powder X-ray diffraction (PXRD). Moreover, complex 1 ’s luminescent performance in solid state was also discussed at environmental temperature. The applications on the ischemic cerebral infarction therapy were evaluated, and the specific mechanism was investigated at the same time. Firstly, the hypersensitivity C-reactive protein (hs-CRP) content in human brain microvascular endothelial cell (HBMEC) was measured with real-time reverse transcription-polymerase chain reaction (RT-PCR). Then, interleukin-18 and interleukin-1 β content released through the HBMEC was detected with enzyme-linked immunosorbent assay (ELISA).

研究领域: 生物无机化学 · 神经药理学 · 炎症生物学 · 转化医学 · 分子影像学
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MICROCHIMICA ACTA · 2026 ·Vol. 193 ·期 2 ·119 · IF 5.3

The preparation of two molecularly imprinted electrochemical sensors based on gold nanoparticles and glutaraldehyde and their application in protein detection

Jia Menggai,Li Yingqi,Qin Ziyao,Li Longwei,Peng Ling,Yang Molin,Hu Beibei,Li Zhiwei,Sun Shiguo

Two modified electrochemical molecularly imprinted polymer electrochemical sensors (MIP/AuNPs/GCE and MIP/GA@CS/AuNPs/GCE) were prepared for the detection of the clinically relevant protein biomarkers, including BSA, Histone, IGF-1, CRP, HSA, GSH, and β-LG. MIP/AuNPs/GCE were prepared by simple modification of AuNPs onto the GCE, which can detect proteins containing free sulfhydryl groups only. To broaden the detection scope, MIP/GA@CS/AuNPs/GCE were prepared, modified by chitosan (CS) and glutaraldehyde (GA) to form hydrogen bonds and Schiff bases with proteins, thereby enabling efficient protein immobilization. The result shows that the MIP/AuNPs/GCE sensor can only detect BSA, HSA, GSH and β-LG, which have the free sulfhydryl groups. While the MIP/GA@CS/AuNPs/GCE sensor can detect all seven proteins. Combined with molecular imprinted polymer technology, the optimized MIP/GA@CS/AuNPs/GCE sensor exhibited a broader capability for protein detection. The MIP/GA@CS/AuNPs/GCE sensor demonstrated excellent selectivity, a wide detection range, and high sensitivity, with a detection limit down to the fM level. This method is applicable for the detection of protein biomarkers, providing innovative technical support for clinical diagnosis, bioanalytical chemistry, and protein separation and extraction. Section Graphical

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BIOSENSORS & BIOELECTRONICS · 2025 · IF 10.5

High accuracy sensor for two-parameter detection of adrenaline and pH in sweat

Zhenjie Zhang,Wei Wei,Anne Ailina Li,Chenhao Wang,Chengchen Tang,Qing Wang,Lianqun Zhou,Hui Kong

Here, we report a wearable device integrating a sweat collection unit and a molecularly imprinted polymer (MIP) - based sensor for the non-invasive detection of adrenaline (AD). In this paper, a new MIP method is proposed, which uses AD molecule as template, and electropolymerizes aniline and 3-aminophenylboronic acid (3-APBA) to form molecular imprinting. Surface modifications, incorporating carbon nanotubes (CNT) and MIP optimization, enhanced the device's specific surface area by 166.45% (± 2.82%), yielding a wide linear detection range of AD (10 -6 μmol L -1 to 10 3 μmol L -1 ). In this study, a three-dimensional response model was constructed by analyzing the current values corresponding to sweat pH levels (4.0-8.0) and AD concentrations, enabling a linear response and accurate prediction of AD levels in sweat. The integrated flexible electronic platform supports real-time data transmission via Bluetooth or NFC to a mobile application, facilitating efficient detection. Comprehensive integration and validation, including artificial sweat testing and correlation with ELISA results, underscore the sensor’s potential as a robust and versatile solution for wearable health monitoring.

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