Ying Shang

Dr. Ying Shang

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 April 2022 in Food Chemistry
Verified
Journal Article
Closed access
YWYuanmiao Wei
Yuanmiao Wei
LLLing Li
Ling Li
YLYao Liu
Yao Liu
SXShuna Xiang
Shuna Xiang
HZHanyue Zhang
Hanyue Zhang
WXWentao Xu
Wentao Xu


1 December 2013 in Analytical Biochemistry
Verified
Journal Article
Closed access
YSYing Shang
Ying Shang
PZPengyu Zhu
Pengyu Zhu
WXWentao Xu
Wentao Xu
TGTianxiao Guo
Tianxiao Guo
WTWenying Tian
Wenying Tian
KHKunlun Huang
Kunlun Huang

4 May 2023 in Foods
Verified
Journal Article
Open access
PDF file
SXShuna Xiang
Shuna Xiang
HZHanyue Zhang
Hanyue Zhang
XCXiaoyan Cha
Xiaoyan Cha
YLYingting Lin
Yingting Lin
YSYing Shang
Ying Shang
Shigella and Bacillus cereus are two common foodborne pathogens that cause intestinal diseases and seriously affect human life and health. Traditional microbiological culture methods are time-consuming and laborious, and polymerase chain reaction (PCR)-based methods rely on expensive thermal cyclers and lengthy reaction times. In this study, on the basis of the specific gene ipaH7 of Shigella and the virulence gene nheABC of B. cereus, a duplex detection system was established for the first time by using the recombinase polymerase amplification technique (D-RPA). After optimization, D-RPA could be effectively amplified at 42 °C for 25 min with excellent specificity, and the detection limits of D-RPA for Shigella and B. cereus in artificially contaminated samples were 2.7 × 101 and 5.2 × 102 CFU/mL, respectively. This study provides a certain research basis for multiple detection with RPA, an isothermal amplification technology. Furthermore, it lays a good foundation for high-throughput rapid detection of foodborne pathogens.

9 December 2023 in Microorganisms
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Journal Article
Open access
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XCXiaoyan Cha
Xiaoyan Cha
YLYingting Lin
Yingting Lin
Charles BrennanCharles Brennan
Charles Brennan
JCJianxin Cao
Jianxin Cao
YSYing Shang
Ying Shang
Bacillus cereus is a common pathogen causing foodborne diseases, secreting and producing a large number of toxins that can cause a variety of diseases and pose many threats to human health. In this study, 73 strains of Bacillus cereus were isolated and identified from six types of foods from seven different cities in a province, and the antibiotic-resistant phenotype was detected by using the Bauer–Kirby method. Results showed that the 73 isolates were completely sensitive to gentamicin and 100% resistant to chloramphenicol, in addition to which all strains showed varying degrees of resistance to 13 other common antibiotics, and a large number of strains resistant to multiple antibiotics were found. A bioinformatic analysis of the expression of resistance genes in Bacillus cereus showed three classes of antibiotic-resistant genes, which were three of the six classes of antibiotics identified according to the resistance phenotype. The presence of other classes of antibiotic-resistant genes was identified from genome-wide information. Antibiotic-resistant phenotypes were analyzed for correlations with genotype, and remarkable differences were found among the phenotypes. The spread of antibiotic-resistant strains is a serious public health problem that requires the long-term monitoring of antimicrobial resistance in Bacillus cereus, and the present study provides important information for monitoring antibiotic resistance in bacteria from different types of food.

21 February 2018 in Journal of Food Science
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Journal Article
Closed access
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SZShi Zheng
Shi Zheng
LSLuying Shan
Luying Shan
Zhuang YongliangZhuang Yongliang
Zhuang Yongliang
YSYing Shang
Ying Shang