Xiangdong Xu

Dr. Xiangdong Xu

orcid

Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 August 2012 in Analytical Biochemistry
Verified
Journal Article
Closed access
XXXiangdong Xu
Xiangdong Xu
HZHongying Zhang
Hongying Zhang
HSHongmei Shi
Hongmei Shi
CMChunling Ma
Chunling Ma
BCBin Cong
Bin Cong
WKWeijun Kang
Weijun Kang

1 March 2020 in Biochemical and Biophysical Research Communications
Verified
Journal Article
Closed access
ZJZhenning Jin
Zhenning Jin
XZXinyuan Zhao
Xinyuan Zhao
LCLi Cui
Li Cui
XXXiangdong Xu
Xiangdong Xu
YZYutian Zhao
Yutian Zhao
Shen HuShen Hu
Shen Hu

Verified
Journal Article
Open access
PDF file
TDTingting Dai
Tingting Dai
JDJie Duan
Jie Duan
XLXinghua Li
Xinghua Li
XXXiangdong Xu
Xiangdong Xu
HSHongmei Shi
Hongmei Shi
WKWeijun Kang
Weijun Kang
The presence of sulfonamide (SA) residues in foods is largely due to the raising of animals with sulfonamide antibiotics added or polluted feedstuff. In this paper, a sensitive method was developed for the determination of the residues of three sulfonamides in animal-derived food; the SAs include sulfadimidine (SDD), sulfadiazine (SDZ), and sulfathiazole (STZ). The method is based on capillary zone electrophoresis (CE) with online chemiluminescence (CL) detection, using an Ag(III) complex as an oxidant. These SAs have an inhibiting effect on the Ag(III)–luminol CL reaction. The electrophoretic buffer is 12.0 mM sodium borate. Under a set of optimized conditions, the linear ranges for the detections were found to be 10.0–200 µg·mL−1 for SDD and SDZ, and 2.0–50.0 µg·mL−1 for STZ. The detection limits were 2.75, 3.14, and 0.65 µg·mL−1 for SDD, SDZ, and STZ, respectively. Relative standard deviations (RSD) for the peak heights were between 2.1% and 2.8% (n = 7). The proposed method was used in the analysis of the SAs in samples from pork meat, chicken meat, and milk, showing satisfactory detection results. A reaction mechanism was also proposed for the Ag(III)–luminol–SA CL reactions. The method has potential applications for the monitoring of residue levels of the three SAs in food, providing food safety data.

18 October 2021 in RSC Advances
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Journal Article
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SYShuopeng Yang
Shuopeng Yang
YHYanzhen Han
Yanzhen Han
KWKairui Wang
Kairui Wang
YWYu Wang
Yu Wang
LLLiping Li
Liping Li
XXXiangdong Xu
Xiangdong Xu
Chlorogenic, ferulic, vanillic, and caffeic acids are phenolic acids found in natural drugs. They possess the biological activities of scavenging free radicals and inhibiting thrombus formation. Phenolic acids can inhibit the oxidation of low-density lipoprotein, as well as have anti-inflammatory effects. This paper reports for the first time a capillary electrophoresis–chemiluminescence (CE–CL) method for the simultaneous determination of the four phenolic acids found in traditional and proprietary Chinese medicine, including Lycium chinense Miller, Shuanghuanglian oral liquid, and Taraxacum mongolicum granules. Capillary electrophoretic separation was performed on a self-assembled CE–CL device with an uncoated fused-silica capillary (66 cm effective length, 50 μm i.d.), and the background electrolyte was composed of 3.0 × 10−5 M Ag(III) (pH = 12.01), 3.0 mM luminol (pH = 9.20), and 10 mM sodium tetraborate solution. The injection time was 12 s (under gravity) and the separation voltage was 22 kV. The combination of solid-phase extraction (SPE) and CE–CL improves the sensitivity. Under optimal conditions, calibration graphs displayed a linear range between 0.625 and 20.0, 1.000 and 30.0, 0.150 and 1.50, and 0.045 and 1.00 μg mL−1 for chlorogenic, ferulic, vanillic, and caffeic acid, respectively. The detection limit ranged from 0.014 to 0.300 μg mL−1. The practicality of using the proposed method to determine the four target analytes in traditional Chinese medicine was also validated, in which recoveries ranged from 90.9% to 119.8%. Taken together, these results indicate that the developed method is sensitive and reliable. Furthermore, the method was successfully applied to real traditional Chinese medicine samples.

1 March 2011 in Luminescence
Verified
Journal Article
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XXXiangdong Xu
Xiangdong Xu
HSHongmei Shi
Hongmei Shi
LMLi Ma
Li Ma
WKWeijun Kang
Weijun Kang
SLShan Li
Shan Li

8 November 2021 in Antibiotics
Verified
Journal Article
Open access
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JMJunjie Miao
Junjie Miao
ZYZhendong Yin
Zhendong Yin
YYYuqin Yang
Yuqin Yang
YLYiwen Liang
Yiwen Liang
XXXiangdong Xu
Xiangdong Xu
HSHongmei Shi
Hongmei Shi
Background: Antibiotics releasing from the manufacturing sites to the surrounding environment has been identified as a risk factor for the development of antibiotic resistance of bacterial pathogens. However, the knowledge of the abundance and distribution of antibiotic resistance genes (ARGs) influenced by antibiotic pollution is still limited. Methods: In this work, the contamination by resistance genes of the environmental media including an urban river and soil along the river located near the sewage outlet of a veterinary antibiotic manufacturing site in Shijiazhuang, China, was assessed. The abundance and dynamic distribution of ARGs in different sampling points and during different seasons were analyzed using fluorescent quantitative PCR method (qPCR). Results: A total of 11 resistance genes, one integron and one transposon were detected in water and soils around the pharmaceutical factory, and among which, the sulfonamide resistance genes sul1 and β-lactam resistance genes blaSHV were the most abundant genes. The relative abundance of ARGs in both river water and soil samples collected at the downstream of the sewage outlet was higher than that of samples collected at the upstream, non-polluted areas (p < 0.05). The mobile genetic elements (MGEs) integron in river was significantly correlated (p < 0.05) with the relative abundance of ARGs. Conclusions: The results indicate that the discharge of waste from antibiotic manufacturing site may pose a risk of horizontal transfer of ARGs.