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Your search keyword '"Yuan, Pei-Xin"' showing total 175 results
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175 results on '"Yuan, Pei-Xin"'

32. Palladium nanospheres-embedded metal–organic frameworks to enhance the ECL efficiency of 2,6-dimethyl-8-(3-carboxyphenyl)4,4′-difluoroboradiazene in aqueous solution for ultrasensitive Cu2+ detection.

Author

Song, Shu-Shu, Zhan, Jiale, Zhu, Hao-Tian, Bao, Jing-Yi, Wang, Ai-Jun, Yuan, Pei-Xin, and Feng, Jiu-Ju

Subjects
METAL-organic frameworks, PALLADIUM, AQUEOUS solutions, CARBON electrodes, ENVIRONMENTAL monitoring
Abstract

Nowadays, organic emitters suffer from insufficient electrochemiluminescence (ECL) efficiency in aqueous solutions, and their practical applications are severely restricted in the bio-sensing field. In this work, palladium nanospheres-embedded metal–organic frameworks (Pd@MOFs) were exploited to enhance the ECL efficiency of 2,6-dimethyl-8-(3-carboxyphenyl)4,4′-difluoroboradiazene (BET) prepared by a one-pot method in aqueous environment. First, the Pd@MOFs were generated via in situ reduction of Pd nanospheres anchored onto the MOFs, and fabricated by orderly coordination of palladium chloride (PdCl2) with 1,2,4,5-benzenetetramine (BTA) tetrahydrochloride. Then, the influence of protons on the ECL response of BET was studied in detail to obtain stronger ECL emission using potassium persulfate (K2S2O8) as co-reactant in aqueous environment. As a result, a 1.47-fold ECL efficiency enlargement of BET/K2S2O8 was harvested at the Pd@MOFs/GCE, where Ru(bpy)32+ behaved as a standard. Based on the fact that the ECL signals of the BET-covered Pd@MOFs modified glassy carbon electrode (simplified as BET/Pd@MOFs/GCE) can be quenched by Cu2+, the as-built ECL sensor showed a wide linear range (1.0–100.0 pM) and a limit of detection (LOD) as low as 0.12 pM. Hence, such research offers huge potential to promote the development of organic emitters in ECL biosensors and environmental monitoring. [ABSTRACT FROM AUTHOR]

Published
2024
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46. A robust and efficient aqueous electrochemiluminescence emitter constructed by sulfonate porphyrin-based metal–organic frameworks and its application in ascorbic acid detection.

Author

Wang, Yi-Wen, Nan, Li-Jiao, Jiang, Yi-Rong, Fan, Miao-Feng, Chen, Jun, Yuan, Pei-Xin, Wang, Ai-Jun, and Feng, Jiu-Ju

Subjects
VITAMIN C, METAL-organic frameworks, ELECTROCHEMILUMINESCENCE, ELECTROLUMINESCENT polymers, METALLOPORPHYRINS, CHARGE exchange, ENERGY transfer
Abstract

The robust and strong electrochemiluminescence (ECL) emission of organic emitters in an aqueous solution is crucial for expanding their applications in early diagnosis. Herein, a Zn porphyrin-based metal–organic framework ((Zn)porphMOF) was facilely obtained by chelating Zn(II)meso-tetra (4-sulfonatophenyl) porphine (Zn-TSPP) with Zn ions, showing substantially enhanced ECL radiation with K2S2O8 as the coreactant via the "reduction-oxidation" route in aqueous media. In contrast with Zn-TSPP, (Zn)porphMOF displayed 22-fold increase in the ECL intensity because of the agglomeration effect. By virtue of the dramatic confinement towards the energy and electron transfer of ascorbic acid (AA) during the ECL process, an ultrasensitive biosensor was developed with a wide linear range (3.77 to 26.4 μM) and ultra-low detection limit of 0.29 μM at 3 times of the signal-to-noise ratio (3S/N). This work offers a feasible avenue to harvest the steady and boosted ECL responses of organic molecules in aqueous media, also greatly expanding the MOF applications in bioanalysis. [ABSTRACT FROM AUTHOR]

Published
2020
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48. Automated ECL Aptasensing Platform from an Intrarticular Radical Annihilation Route for Distinguishing Glioma Stages

Author

Bao, Jing-Yi, Liu, Wen, Chen, Can, Zhu, Hao-Tian, Wang, Ai-Jun, Yuan, Pei-Xin, and Feng, Jiu-Ju

Abstract

Nowadays, continuous efforts have been devoted to designing stable and high-efficiency electrochemiluminescence (ECL) emitters as alternatives for tris(2,2′-bipyridine)-ruthenium(II) (Ru(bpy)32+) in medical research. Herein, a novel ECL emitter was obtained by coordinating crystalline covalent triazinyl frameworks (cCTFs) with Ru2+(termed Ru-cCTFs), which exhibited strong ECL emission by the ligand to metal charge transfer (LMCT) route. After its integration with 4-mercaptopyridine (SH-Py), the resultant SH-Py-Ru-cCTFs achieved 2.3-fold enhancement in the ECL efficiency by employing Ru(bpy)32+as a standard, which involved a dynamic “intrarticular radical annihilation” ECL pathway. On such foundation, an automated ECL (A-ECL) aptasensor was constructed with an “on–off–on” model and magnetic separation upon linkage of the SH-Py-Ru-cCTFs with streptavidin (SA) magnetic beads (MBs). This automatic assay of miRNA-182 showed a wider linear range from 1.0 to 100.0 fM with a correlation coefficient (R2) of 0.994, a lower limit of detection (LOD) down to 0.28 fM, and faster operation within 41 min. Impressively, this bioassay facilely distinguished the stages of glioma disease from clinical blood samples with high accuracy. Hence, this research sheds light on how to develop advanced ECL luminophores and an automatic method, showing substantial insights into pathogenesis research of gliomas.

Published
2024
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49. Study on Image Identification Method of In-service Pipeline Corrosion Fault

Author

Zhu Liang, Yuan Pei-xin, and Liu Hong-yi

Subjects
Pipeline transport, Wavelet, Contextual image classification, Artificial neural network, Computer science, business.industry, Pattern recognition, Image processing, Artificial intelligence, Mathematical morphology, business, Backpropagation, Edge detection
Abstract

In this paper, a new mathematical morphology wavelet denoising method which based on separating defect points was put forward for the actual needs of the in-service pipeline inspection. This method uses wavelet maximum value algorithm to extract the edge of defect area. It use the single-output mode of BP neural network in pattern recognition by choosing small length, invariant moment, grey energy and other key characteristic parameters which is in favor of defect identifying. This method achieved the classification of pipeline weld and corrosion defect, and achieved the quantitative identification of corrosion defect.

Published
2010
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50. Research on an Automatic Counting Method for Steel Bars' Image

Author

Xin Ying, Han Qing-da, Chen Chang-hai, Yuan Pei-xin, and Xue Wei

Subjects
Engineering, Physics::Instrumentation and Detectors, business.industry, High Energy Physics::Phenomenology, Sobel operator, Image segmentation, Physics::Classical Physics, Steel bar, Hough transform, law.invention, Otsu's method, symbols.namesake, Digital image, Counting problem, law, Computer Science::Computer Vision and Pattern Recognition, symbols, High Energy Physics::Experiment, Segmentation, Computer vision, Artificial intelligence, business
Abstract

A method for automatic segmentation of steel bars' image is put forward to solve the counting problems of steel bars in the steel factories at present. The approximate radius of steel bar is measured by chain coding. The edges of steel bars are detected by Sobel operator, and separation of steel bars and background is carried out by Otsu method. Then the improved Hough transformation is adopted in the image of steel bars in order to accumulate the gray values, and the locations of steel bars are got by the threshold segmentation, then max. gray values in a region are founded. After experiments, the accurate counting method of approximate circle images such as steel bars is realized.

Published
2010
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