AIP Advances
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2018
·Vol. 8
·期 12
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IF 1.653
Lian Yadong,Huang Xiaokun,Yu Ji,Tang Tong B.,Zhang Weiyi,Gu Min
Scrutinyite SnO 2 was synthesized by annealing SnO nanoparticles fabricated from micron-size SnO via ball milling. The isotropic as well as anisotropic chemical shifts of 119 Sn obtained by solid-state nuclear magnetic resonance method, were verified computationally using a pseudopotential method in density-functional theory. The results fit with 6-fold coordinated Sn. A linear relationship holds empirically between isotropic shift and coordination number divided by Sn-O average bond length in all polymorphs of tin oxides. When the annealing proceeded in an oxygen-free atmosphere, metallic tin, the rutile phase of SnO 2 and oxygen vacancies associated with permanent electric dipoles were also detected by thermal analysis and dielectric spectroscopy.
研究领域:
材料科学
·
物理学
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产品关联
DOI
高影响因子
SENSORS AND ACTUATORS B-CHEMICAL
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2021
·
IF 7.46
Yuehua Li,Shaoxian Li,Weiwei Meng,Lei Dai,Ling Wang
A series of impedancemetric sensors for ammonia detection were fabricated using yttrium stabilized zirconia (YSZ) electrolyte and La n+1 Ni n O 3n+1 (n = 1, 2, and 3) sensing electrodes. The sensing materials with layered perovskite structure were prepared using in-situ impregnation method and well-dispersed in YSZ porous skeleton after calcination at 900 °C. The sensing performances of the sensors with La n+1 Ni n O 3n+1 sensing electrodes were investigated using the impedancemetric modulus |Z| and phase angle Θ as response signals, respectively. The results show that the sensor with La 2 NiO 4+ δ sensing electrode exhibits the higher response values and sensitivity compared to the sensor using La 3 Ni 2 O 7- δ or La 4 Ni 3 O 10- δ sensing electrodes, which is attributed to the largest NH 3 adsorption capacity of La 2 NiO 4+ δ . The response signals |Z| or Θ of the La 2 NiO 4+ δ based sensor linearly depend on NH 3 concentrations. The sensor hardly is insensitive to co-existing gases such as CO 2 , CH 4 , H 2 and relative humidity, but NO or NO 2 causes a positive error.
研究领域:
材料科学
·
化学
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DOI
高影响因子
ELECTROANALYSIS
·
2017
·Vol. 29
·期 5
·1243-1251
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IF 2.851
X. Li,X.H. Niu,H.Y. Wu,S.C. Meng,W.C. Zhang,J.M. Pan,F.X. Qiu
Here we report a new molecularly imprinted electrochemical sensor (MIECS) for the impedimetric enzyme-free analysis of glucose. A computational modeling strategy was first utilized to screen promising functional monomers for imprinting assembly, and simulation data suggested that methacrylic acid (MAA) exhibited a preferable capability to recognize the target molecule compared to other common monomers. Then the MIECS was prepared via introducing MAA-based recognition sites onto a porous Ni foam with large surface. The fabricated sensor was subtly characterized by Raman spectroscopy, scanning electron microscopy, and cyclic voltammetry, and an impedimetric method was selected to detect the glucose target in a basic medium. Experimental results demonstrated that the proposed MIECS could selectively recognize glucose against coexisting species, with good linear responses of the charge transfer resistance upon the target concentration in the scope of 10∼55 mM. These results indicate its potential applications in the recognization and detection of glucose in complex matrices.
研究领域:
生物传感技术
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材料科学
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分析化学
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DOI
高影响因子
MICROCHIMICA ACTA
·
2024
·Vol. 191
·期 2
·1-8
·
IF 5.3
Ou Dan,Yan Huixian,Chen Zuanguang
Based on the electrochemical impedance method, a marker-free biosensor with aptamer as a biometric element was developed for the determination of doxorubicin (DOX). By combining aptamer with rigid tetrahedral DNA nanostructures (TDNs) and fixing them on the surface of gold electrode (GE) as biometric elements, the density and directivity of surface nanoprobes improved, and DOX was captured with high sensitivity and specificity. DOX was captured by immobilized aptamers on the GE, which inhibited electron transfer between the GE and [Fe(CN)6] 3− / 4− in solution, resulting in a change in electrochemical impedance. When the DOX concentration was between 10.0 and 100.0 nM, the aptasensor showed a linear relationship with charge transfer resistance, the relative standard deviation (RSD) ranged from 3.6 to 5.9%, and the detection limit (LOD) was 3.0 nM. This technique offered a successful performance for the determination of the target analyte in serum samples with recovery in the range 97.0 to 99.6% and RSD ranged from 4.8 to 6.5%. This method displayed the advantages of fast response speed, good selectivity, and simple sensor structure and showed potential application in therapeutic drug monitoring. Graphical Abstract
研究领域:
生物传感器技术
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药物分析
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纳米生物学
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产品关联
DOI
PubMed
高影响因子
JOURNAL OF FOOD SCIENCE AND TECHNOLOGY-MYSORE
·
2022
·Vol. 59
·期 12
·4653-4662
·
IF 3.117
Chen Hongshuo,Liu Haibin,Cui Chuanjin,Zhang Wensi,Zuo Yueming
In this study, a simple label-free biosensor for Brucella was constructed, which based on the screen-printed carbon electrode (SPCE) modified by Recombinant protein G/gold nanoparticles/graphene oxide (RpG/Au/GO). The impedance responses of the proposed biosensor were measured by electrochemical AC impedance method in Brucella antigen gradient concentration solutions. The results showed that the linear range of this biosensor was from 1.6 × 10 2 CFU/mL to 1.6 × 10 8 CFU/mL with the minimum detection limit of 3.2 × 10 2 CFU/mL (S/N = 3). Moreover, the biosensor for Brucella detection possessed acceptable reproducibility with a relative standard deviation of 5.15% and acceptable stability with a relative standard deviation of 4.68%. The spiked recovery rate in actual pasteurized milk samples was more than 92% . Therefore, the developed biosensor exhibits excellent prospects in the selective quantification detection of Brucella abortus .
研究领域:
生物传感技术
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食品检测
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微生物学
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产品关联
DOI
PubMed
高影响因子
MICROCHEMICAL JOURNAL
·
2025
·
IF 5.1
Chengpan Lei,Xiaobin Zhang,Zhikang Rao,Shenghui Chen,Siqi Dong,Hanyang Bao,Ying Xu
An electrochemical impedance detection method based on 3-aminophenylboronic acid-modified magnetic nanoparticles (M-APBA) is proposed, with machine learning models employed to facilitate high-sensitivity and high-accuracy glucose detection in complex biological samples. By leveraging the specific binding affinity between synthesized M-APBA nanoparticles and glucose, detection sensitivity and anti-interference capability were significantly enhanced. Experimental results demonstrated a well-defined linear response for glucose concentrations ranging from 1 to 50 μmol L −1 , with a detection limit as low as 0.71 μmol L −1 . Multidimensional impedance spectral features were extracted using the Randles equivalent circuit model, and the prediction accuracy of glucose concentration in real sample was significantly improved by incorporating an XGBoost model optimized via grid search method. The model achieved an R 2 value of 0.9997, with mean absolute error (MAE) and root mean square error (RMSE) reduced to 0.1068 and 0.2321, respectively. Compared with traditional single-feature fitting methods (the Rct value), the proposed multi-feature fusion approach demonstrated superior detection accuracy and stability in complex biological samples. Furthermore, measurements conducted on real samples revealed that M-APBA nanoparticle-modified electrodes maintained excellent detection performance in complex environments, exhibiting high repeatability and strong anti-interference capability. This study proposes a non-enzymatic glucose detection strategy by integrating M-APBA-modified magnetic nanoparticles with a machine learning-based impedance analysis framework, offering a novel solution for non-invasive, real-time glucose monitoring and demonstrating great potential for application in portable, low-cost wearable detection devices.
研究领域:
电化学传感器
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纳米技术
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生物医学工程
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机器学习
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分析化学
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可穿戴设备
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产品关联
DOI
高影响因子