SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
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2023
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IF 4.4
Ciyang Zhang,Keren Lu,Linrui Li,Wu Lei,Mingzhu Xia,Fengyun Wang
Oxytetracycline hydrochloride (OTC) is a commonly used over-the-counter antibiotic, valued for its potent antibacterial properties. However, the inappropriate and excessive use of OTC can result in the accumulation of the drug in both the environment and human body, causing significant harm to ecosystems and human health. Therefore, the development of a fast and sensitive method for detecting OTC is of great significance. Lanthanide metal–organic frameworks (LnMOFs) can effectively excite lanthanide metals to emit long-lifetime, narrow and stable fluorescence based on the antenna effect, but their application in fluorescence sensing is rarely reported. In this work, a strongly fluorescent material Tb-MOF was synthesized by a facile solvothermal method using 1,2,4,5-phenylenetetracarboxylic acid (H 4 btec) and 1,10-phenanthroline (1,10-phen) as organic ligands and lanthanide metal Tb as the luminescent center. Tb-MOF is a stable material in water and shows excellent linearity with OTC in the concentration range of 0 ∼ 70 μM, with low detection limit (0.12 μM) and luminescence color transition from bright green to dark green during the detection process. X-ray diffraction, UV–vis absorption and fluorescence lifetime analyses revealed that the fluorescence quenching of Tb-MOF by OTC is caused by the inner filter effect in static quenching. Test strips for OTC detection were successfully prepared using Tb-MOF. These strips are not only low cost and easy to prepare but can also be used as portable sensing devices that can be easily distinguished by the naked eye during OTC testing. This study not only presents a fluorescent probe for the detection of OTC in water but also offers a practical method for converting fluorescent luminescent materials into functional devices for OTC detection.
研究领域:
分析化学
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环境科学
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材料科学
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DOI
PubMed
高影响因子
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
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2018
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IF 2.88
Xiao Wang,Yanmei Zhou,Chenggong Xu,Haohan Song,Xiaobin Pang,Xiaoqiang Liu
Hydrazine (N 2 H 4 ) and fluoride ion (F − ) are regarded as environmental pollutants and potential carcinogens. A dual-functional fluorescent probe (probe 1 ) was developed for both F − and N 2 H 4 with high selectivity and sensitivity. 1 was based on nucleophilic aromatic substitution reaction for N 2 H 4 detection and selective cleavage of 4-nitrobenzenesulphonyl group for the determination of F − . The limits of detection of probe for F − and N 2 H 4 were 77.82 nM and 29.34 nM, respectively, which are far below the threshold limit value (TLV) of United States Environmental Protection Agency (EPA). The home-made test strips of 1 provided the positive tool for F − and gaseous N 2 H 4 in different system. And the confocal fluorescence images indicated that 1 can quantitatively detect N 2 H 4 in living PC12 cells. Promisingly, 1 has great prospects for N 2 H 4 imaging and determining in living system.
研究领域:
分析化学
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环境科学
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生物医学
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DOI
PubMed
高影响因子
Food Chemistry-X
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2024
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IF 6.5
Sumei Ling,Aidi Xu,Menghan Sun,Xiaoli Li,Yongming Huang,Yang Xu,Jianli Huang,Tingting Xie,Shihua Wang
Bisphenol A has been reported to be a ubiquitous contaminant, and exposure to this compound can lead to adverse effects in human health. In the study, monoclonal antibody against BPA (anti-BPA mAb) with high affinity (3.74 × 10 9 L/mol) secreted by cell line 2E3 was successfully screened. Inspired by the signal amplification of nanoparticles, anti-BPA mAbs were labeled with nano-materials including colloidal gold (AuNP) and gold nanoflowers (AuNF) for preparation of immunoprobes and AuNP-/AuNF-based test strips. The developed AuNP- and AuNF-based test strips achieved the rapid and sensitive detection of BPA within 10 min, with the limit of detection (LOD) of 25 μg/mL and 3.125 μg/mL, respectively. The detection result in BPA spiked samples measured by the proposed methods was consistent with that detected by LC-MS method. The preparation process of as-prepared test strip is time-saving and considered as ideal candidates method for rapid screening BPA in real samples.
研究领域:
环境科学
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免疫学
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分析化学
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DOI
PubMed
高影响因子
INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES
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2024
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IF 7.7
Jingming Zhou,Wan Yu,Xifang Zhu,Hongliang Liu,DongMin Liu,Aiping Wang,Gaiping Zhang
ASFV is the only known double-stranded insect-borne DNA virus, which can rapidly infect domestic pigs and wild boars with ticks as transmission medium. Since it was first discovered in 1921, it quickly spread to all parts of the world and brought huge economic losses to the pig industry all over the world. At present, there is still no safe and effective vaccine for ASFV. Here, we developed a quantum-dot labeled antibody test strip for the detection of antibodies against ASFV pp62. The pp62 protein was labeled with quantum dots, and the antibody test strip was developed uses it in a detection mode of labeled antigen-SPA interceptor-monoclonal antibody quality control. The test strip showed high sensitivity, the positive detection limit of the strip was 1: 10 6 by continuous multiple dilution using the positive standard serum of ASFV antibody as reference. The test strip showed good specificity, and there was no cross reaction with other swine diseases virus (PCV2, PRRSV, CSFV, PPV). Using the detection results of commercialized kit for African swine fever virus as reference, 80 ASFV antibody negative serum and 4 different ASFV antibody positive serum were detected using the ASFV pp62 quantum-dot labeled antibody test strip. The results were consistent with the commercial kit. This study provides a new detection method for the prevention and control of African swine fever.
研究领域:
兽医学
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分子生物学
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诊断学
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DOI
PubMed
高影响因子
JOURNAL OF HAZARDOUS MATERIALS
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2019
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IF 7.65
Chongliang Li,Chenghui Zeng,Zhao Chen,Yefei Jiang,Hua Yao,Yangyi Yang,Wing-Tak Wong
Tetracycline antibiotics (TCs) are a kind of commonly used antibiotics for treating infections, however, the overuse of TCs has adversely affected human health and the ecosystem. Thus, detection of TCs in water is important but challenging. In this work, a luminescent lanthanide metal-organic framework (LnMOF) sensor ( 1 ) for immediate detection of oxytetracycline (OTC) and tetracycline (TC) is developed. The sensor has high acid-base and water stability. Investigation reveals that among the 27 species of antibiotics, anions and cations under investigation, 1 shows highly selective sensing towards OTC and TC, and the detection is not disturbed by the presence of other species. The limit of detection (LOD) for OTC and TC are ultra-sensitive value of 1.95 and 2.77 nM, respectively. Investigation reveals the sensing mechanism is due to the inner filter effect. Further studies reveal that the sensor can be used in real sample monitoring. More importantly, test strips based on 1 are manufactured. They are an easy-to-use, low-cost, highly selective and sensitive sensing device for detecting OTC and TC. The sensing can be distinguished immediately and easily by the naked eyes, making it an excellent candidate to monitor OTC and TC in real use.
研究领域:
环境科学
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分析化学
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DOI
PubMed
高影响因子
TALANTA
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2024
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IF 5.6
Xiaoming Li,Jiaqi Hu,De Zhang,Xiubin Zhang,Zhetao Wang,Yufeng Wang,Qiang Chen,Pei Liang
Surface-enhanced Raman spectroscopy (SERS) can quickly identify molecular fingerprints and has been widely used in the field of rapid detection. However, the non-uniformity inherent in SERS substrate signals, coupled with the finite nature of the detection object, significantly hampers the advancement of SERS. Nowadays, the existing mature immunochromatographic assay (ICA) method is usually combined with SERS technology to address the defects of SERS detection. Nevertheless, the porous structure of the strip will also affect the signal uniformity during detection. Obviously, a method using SERS-ICA is needed to effectively solve signal fluctuations, improve detection accuracy, and has certain versatility. This paper introduces an internal standard method combining deep learning to predict and process Raman data. Based on the signal fluctuation of single-antigen SERS-ICA test strip, the double-antigen SERS-ICA test strip was constructed. The full spectrum Raman data of double-antigen SERS-ICA test strip was normalized by the sum of two characteristic peaks of internal standard molecules, and then processed by deep learning algorithm. The Relative Standard Deviation (RSD) of Raman data of bisphenol A was compared before and after internal standard normalization of double-antigen SERS-ICA test strip. The RSD processed by this method was increased by 3.8 times. After normalization, the prediction accuracy of Root Mean Square Error (RMSE) is improved by 2.66 times, and the prediction accuracy of R-square (R 2 ) is increased from 0.961 to 0.994. The results showed that RMSE and R 2 were used to comprehensively predict the collected data of double-antigen SERS-ICA test strip, which could effectively improve the prediction accuracy. The internal standard algorithm can effectively solve the challenges of uneven hot spots and poor signal reproducibility on the test strip to a certain extent, so as to improve the semi-quantitative accuracy.
研究领域:
分析化学
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生物医学工程
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DOI
PubMed
高影响因子
International Journal of Electrochemical Science
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2023
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IF 1.5
Bin Sun,Zhigang Wang,Bo Zhao,Yanfei Jin,Yaqiang Li,Song Yang
abstract In this study, an electrochemical immunosensor for nerve growth factor (NGF) detection was constructed based on graphene oxide (GO)-chitosan (CS) composite membrane. Scanning electron microscopy (SEM) was applied to characterize the morphology of GO-CS composite films. Cyclic voltammetry and differential pulse voltammetry were used to optimize the detection conditions of electrochemical immunosensors. The prepared electrochemical immunosensor has an excellent linear relationship with the peak electrode current when the concentration of NGF is 0.1–100 ng/mL with a limit of detection (0.0081 ng/mL). The recovery rate of serum samples was 99.00–104.06 %. Therefore, the immunosensor established by the institute is accurate, stable and sensitive.
研究领域:
材料科学
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生物化学
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分析化学
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纳米技术
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电化学
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产品关联
DOI
高影响因子