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Featured researches published by Chan Zhang.


Scientific Reports | 2016

A Competitive Bio-Barcode Amplification Immunoassay for Small Molecules Based on Nanoparticles

Pengfei Du; Maojun Jin; Ge Chen; Chan Zhang; Zejun Jiang; Yanxin Zhang; Pan Zou; Yongxin She; Fen Jin; Hua Shao; Shanshan Wang; Lufei Zheng; Jing Wang

A novel detection method of small molecules, competitive bio-barcode amplification immunoassay, was developed and described in this report. Through the gold nanoparticles (AuNPs) probe and magnetic nanoparticles (MNPs) probe we prepared, only one monoclonal antibody can be used to detect small molecules. The competitive bio-barcode amplification immunoassay overcomes the obstacle that the bio-barcode assay cannot be used in small molecular detection, as two antibodies are unable to combine to one small molecule due to its small molecular structure. The small molecular compounds, triazophos, were selected as targets for the competitive bio-barcode amplification immunoassay. The linear range of detection was from 0.04 ng mL−1 to 10 ng mL−1, and the limit of detection (LOD) was 0.02 ng mL−1, which was 10–20 folds lower than ELISA (Enzyme Linked Immunosorbent Assay). A practical application of the proposed immunoassay was evaluated by detecting triazophos in real samples. The recovery rate ranged from 72.5% to 110.5%, and the RSD was less than 20%. These results were validated by GC-MS, which indicated that this convenient and sensitive method has great potential for small molecular in real samples.


RSC Advances | 2015

A rapid immunomagnetic-bead-based immunoassay for triazophos analysis

Pengfei Du; Maojun Jin; Lihua Yang; Xinwei Du; Ge Chen; Chan Zhang; Fen Jin; Hua Shao; Yongxin She; Shanshan Wang; Lufei Zheng; Jing Wang

An immunomagnetic-bead-based enzyme-linked immunosorbent assay (IMB-ELISA) was developed for detection of pesticides by using carboxyl functionalized magnetic Fe3O4 nanoparticles (CMNPs). The CMNPs were prepared by co-precipitation of Fe2+/Fe3+ with oleic acid as a surfactant and subsequent oxidation of CC into COOH by KMnO4 solution in situ. Then, anti-pesticide (triazophos) monoclonal antibodies were directly bonded onto the magnetic nanoparticles, which significantly increased the sensitivity compared with classic ELISA. The detection limit was 0.10 ng mL−1. Addition-recovery and high-precision experiments were performed on blank samples that were determined to be without triazophos. The average recovery rate for three types of samples (with each spiking concentration measured 5 times in parallel) ranged from 83.1% to 115.9%, with a relative standard deviation (RSD) of less than 10%, which meets the requirement of pesticide residue analysis. The application results were in accordance with the gas chromatography-mass spectrometry (GC-MS) method, suggesting that IMB-ELISA is rapid and reliable for pesticide detection.


PLOS ONE | 2015

Study on Enhancement Principle and Stabilization for the Luminol-H2O2-HRP Chemiluminescence System

Lihua Yang; Maojun Jin; Pengfei Du; Ge Chen; Chan Zhang; Jian Wang; Fen Jin; Hua Shao; Yongxin She; Shanshan Wang; Lufei Zheng; Jing Wang

A luminol-H2O2-HRP chemiluminescence system with high relative luminescent intensity (RLU) and long stabilization time was investigated. First, the comparative study on the enhancement effect of ten compounds as enhancers to the luminol-H2O2-HRP chemiluminescence system was carried out, and the results showed that 4-(imidazol-1-yl)phenol (4-IMP), 4-iodophenol (4-IOP), 4-bromophenol (4-BOP) and 4-hydroxy-4’-iodobiphenyl (HIOP) had the best performance. Based on the experiment, the four enhancers were dissolved in acetone, acetonitrile, methanol, and dimethylformamide (DMF) with various concentrations, the results indicated that 4-IMP, 4-IOP, 4-BOP and HIOP dissolved in DMF with the concentrations of 0.2%, 3.2%, 1.6% and 3.2% could get the highest RLU values. Subsequently, the influences of pH, ionic strength, HRP, 4-IMP, 4-IOP, 4-BOP, HIOP, H2O2 and luminol on the stabilization of the luminol-H2O2-HRP chemiluminescence system were studied, and we found that pH value, ionic strength, 4-IMP, 4-IOP, 4-BOP, HIOP, H2O2 and luminol have little influence on luminescent stabilization, while HRP has a great influence. In different ranges of HRP concentration, different enhancers should be selected. When the concentration is within the range of 0~6 ng/mL, 4-IMP should be selected. When the concentration of HRP ranges from 6 to 25ng/mL, 4-IOP was the best choice. And when the concentration is within the range of 25~80 ng/mL, HIOP should be selected as the enhancer. Finally, the three well-performing chemiluminescent enhanced solutions (CESs) have been further optimized according to the three enhancers (4-IMP, 4-IOP and HIOP) in their utilized HRP concentration ranges.


PLOS ONE | 2015

The Rapid Screening of Triazophos Residues in Agricultural Products by Chemiluminescent Enzyme Immunoassay

Ge Chen; Lihua Yang; Maojun Jin; Pengfei Du; Chan Zhang; Jian Wang; Hua Shao; Fen Jin; Lufei Zheng; Shanshan Wang; Yongxin She; Jing Wang

A highly sensitive chemiluminescent enzyme immunoassay (CLEIA) method was developed in this study for efficient screening of triazophos residues in a large number of samples. Based on the maximum residue limits (MRLs) set by China and CAC for triazophos in different agro-products, the representative apple, orange, cabbage, zucchini, and rice samples were selected as spiked samples, and the triazophos at the concentrations of the MRL values were spiked to blank samples. Subsequently, the five samples with the spiked triazophos standard were measured by CLEIA 100 times, and the detection results indicated that the correction factors of the apple, orange, cabbage, zucchini, and rice were determined as 0.79, 0.66, 0.85, 0.76, and 0.91, respectively. In this experiment, 1500 real samples were detected by both the CLEIA and the GC-MS methods. With the GC-MS method, 1462 samples were identified as negative samples and 38 samples as positive samples. Based on the correction factors, the false positive rate of the CLEIA method was 0.13%, and false negative rate was 0. The results showed that the established CLEIA method could be used to screen a large number of real samples.


Analytical Biochemistry | 2017

A sensitive chemiluminescence enzyme immunoassay based on molecularly imprinted polymers solid-phase extraction of parathion

Ge Chen; Maojun Jin; Pengfei Du; Chan Zhang; Xueyan Cui; Yudan Zhang; Yongxin She; Hua Shao; Fen Jin; Shanshan Wang; Lufei Zheng; Jing Wang

The chemiluminescence enzyme immunoassay (CLEIA) method responds differently to various sample matrices because of the matrix effect. In this work, the CLEIA method was coupled with molecularly imprinted polymers (MIPs) synthesized by precipitation polymerization to study the matrix effect. The sample recoveries ranged from 72.62% to 121.89%, with a relative standard deviation (RSD) of 3.74-18.14%.The ratio of the sample matrix-matched standard curve slope rate to the solvent standard curve slope was 1.21, 1.12, 1.17, and 0.85 for apple, rice, orange and cabbage in samples pretreated with the mixture of PSA and C18. However, the ratio of sample (apple, rice, orange, and cabbage) matrix-matched standard-MIPs curve slope rate to the solvent standard curve was 1.05, 0.92, 1.09, and 1.05 in samples pretreated with MIPs, respectively. The results demonstrated that the matrices of the samples greatly interfered with the detection of parathion residues by CLEIA. The MIPs bound specifically to the parathion in the samples and eliminated the matrix interference effect. Therefore, the CLEIA method have successfully applied MIPs in sample pretreatment to eliminate matrix interference effects and provided a new sensitive assay for agro-products.


Food and Agricultural Immunology | 2017

A review of enhancers for chemiluminescence enzyme immunoassay

Ge Chen; Maojun Jin; Pengfei Du; Chan Zhang; Xueyan Cui; Yudan Zhang; Jing Wang; Fen Jin; Yongxin She; Hua Shao; Shanshan Wang; Lufei Zheng

ABSTRACT There is increasing interest for chemiluminescence (CL) detection with the characteristics of simplicity, low cost and high sensitivity, especially wide application of enhancersin CL detection to increased signals, prolonged luminescence time and enhanced intensity. In this review, the applications of primary enhancers and secondary enhancers were mainly described in the horseradish peroxidase–luminol system of CL enzyme immunoassay for light delay in the course of the reaction with improved sensitivity. The present review on enhancers covers the papers since 1983. Future research needs to develop novel enhancers with less interference and better performance. With wide utilization of enhancers in the CL system, the CL immunodetection technology showed a good potential and wide development prospects in food and medicine fields.


Journal of Liquid Chromatography & Related Technologies | 2016

Determination of astaxanthin in feeds using high performance liquid chromatography and an efficient extraction method

Pengfei Du; Maojun Jin; Lihua Yang; Ge Chen; Chan Zhang; Fen Jin; Hua Shao; Mao Yang; X. Yang; Yongxin She; Shanshan Wang; Lufei Zheng; Jing Wang

ABSTRACT A high performance liquid chromatography method using an efficient extraction method was developed for the determination of astaxanthin in eight kinds of animal feed. The chromatographic separation was achieved using a C18 reversed-phase column, using methanol and acetonitrile as the mobile phases with a flow rate of 1 mL/min. The feeds containing astaxanthin were first treated with maxatase, to cause enzymatic hydrolysis, and then extracted with dichloromethane. The optimized method produced recoveries of between 82.4% and 100% for all eight kinds of feed, and the coefficients of variation were lower than 4.28%. The limit of detection, defined as the concentration that gave a signal-to-noise ratio of 3, for astaxanthin was estimated to be 0.1 µg/g. The limit of quantification, defined as the lowest spiked concentration that gave an appropriate level of precision and accuracy, was 0.3 µg/g. Finally, the method developed was used to determine astaxanthin in real, commercially sourced, feed samples. The method met the requirements for the determination of astaxanthin in feed, providing satisfactory recoveries of 70–110%. GRAPHICAL ABSTRACT


Food and Agricultural Immunology | 2018

Development of immunoassays for multi-residue detection of small molecule compounds

Xueyan Cui; Maojun Jin; Pengfei Du; Ge Chen; Chan Zhang; Yudan Zhang; Yong Shao; Jing Wang

ABSTRACT The small molecule compounds like pesticide, veterinary drug, bio-toxin, and heavy metal are widely found in animals, plants, soil, etc. Excessive compounds residues will have a bad influence on human health and the environment. Thus, it is extremely urgent that can detect the small molecules simultaneously. At present, many researches of simultaneous detection for small molecules using the method of an immunoassays have been reported thanks to its advantages of fast speed, simple operation, and high specificity. The small molecules have only one antigenic determinant, so the competitive immunoassay is the main method for small molecule compounds detection. In this paper, our main job is to describe the development of immunoassay for multi-residue detection of small molecule compounds and introduce three ways to complete the analysis of multi-residue immunoassay of small molecule compounds. We also summarize deficiencies and make an expectation of the immunoassays.


Journal of Chromatography A | 2017

Fast determination of alkylphenol ethoxylates in leafy vegetables using a modified quick, easy, cheap, effective, rugged, and safe method and ultra-high performance supercritical fluid chromatography–tandem mass spectrometry

Zejun Jiang; Xiaolin Cao; Hui Li; Chan Zhang; A. M. Abd El-Aty; Fen Jin; Hua Shao; Maojun Jin; Shanshan Wang; Yongxin She; Jing Wang


Analytica Chimica Acta | 2018

A simple and sensitive competitive bio-barcode immunoassay for triazophos based on multi-modified gold nanoparticles and fluorescent signal amplification

Chan Zhang; Pengfei Du; Zejun Jiang; Maojun Jin; Ge Chen; Xiaolin Cao; Xueyan Cui; Yudan Zhang; Ruixing Li; A. M. Abd El-Aty; Jing Wang

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Jing Wang

Harbin Institute of Technology

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Pan Zou

Harbin Institute of Technology

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Yanxin Zhang

Harbin Institute of Technology

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X. Yang

Harbin Institute of Technology

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Shirley J. Gee

University of California

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