Yongqing Zhang

Dr. Yongqing Zhang

Xuchang University, Xuchang, China
orcid

Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

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

Representative Publications

View All Publications
25 May 2015 in Molecules
Verified
Journal Article
Open access
PDF file
DWDe-Guo Wang
De-Guo Wang
YWYongzhen Wang
Yongzhen Wang
FXFugang Xiao
Fugang Xiao
WGWeiyun Guo
Weiyun Guo
YZYongqing Zhang
Yongqing Zhang
Yanhong LiuYanhong Liu
Yanhong Liu
Molecular detection of bacterial pathogens based on LAMP methods is a faster and simpler approach than conventional culture methods. Although different LAMP-based methods for pathogenic bacterial detection are available, a systematic comparison of these different LAMP assays has not been performed. In this paper, we compared 12 in-house real-time LAMP assays with a commercialized kit (Isothermal Master Mix) for the detection of Listeria monocytogenes, Salmonella spp, Staphylococcus aureus, Escherichia coli O157, E. coli O26, E. coli O45, E. coli O103, E. coli O111, E. coli O121, E. coli O145 and Streptococcus agalactiae. False-positive results were observed in all 12 in-house real-time LAMP assays, while all the negative controls of Isothermal Master Mix remained negative after amplification. The detection limit of Isothermal Master Mix for Listeria monocytogenes, Salmonella spp, Staphylococcus aureus, Escherichia coli O157, E. coli O26, E. coli O45, E. coli O103, E. coli O111, E. coli O121 and Streptococcus agalactiae was 1 pg, whereas the sensitivity of the commercialized kit for E. coli O145 was 100 pg. In conclusion, the 12 in-house real-time LAMP assays were impractical to use, while the commercialized kit Isothermal Master Mix was useful for the detection of most bacterial pathogens.

26 August 2014 in Journal of Water and Health
Verified
Journal Article
Closed access
PDF file
YZYongqing Zhang
Yongqing Zhang
QWQingping Wu
Qingping Wu
JZJu-Mei Zhang
Ju-Mei Zhang
XYXiu-Hua Yang
Xiu-Hua Yang
Granular activated carbon (GAC) was used to remove bromide (Br−) and bromate (BrO3−) from drinking water in both bench- and pilot-scale experiments. The present study aims to minimize BrO3− formation and eliminate BrO3− generated during the ozonation of drinking water, particularly in packaged drinking water. Results show that the Br− and BrO3− levels in GAC-treated water decreased in both bench- and pilot-scale experiments. In the bench-scale experiments, when the empty bed contact time (EBCT) was 5 min, the highest reduction rates of Br− in the mineral and ultrapure water were found to be 74.9% and 91.2%, respectively, and those of BrO3− were 94.4% and 98.8%, respectively. The GAC capacity for Br− and BrO3− removal increased with the increase in EBCT. Reduction efficiency was better in ultrapure water than in mineral water. In the pilot-scale experiments, the minimum reduction rates of Br− and BrO3− were 38.5% and 73.2%, respectively.

10 February 2023 in Molecules
Verified
Journal Article
Open access
PDF file
FXFugang Xiao
Fugang Xiao
MGMenglin Gu
Menglin Gu
YZYaoxuan Zhang
Yaoxuan Zhang
YXYaodong Xian
Yaodong Xian
YZYaotian Zheng
Yaotian Zheng
DWDe-Guo Wang
De-Guo Wang
Food adulteration is a serious problem all over the world. Establishing an accurate, sensitive and fast detection method is an important part of identifying food adulteration. Herein, a sequence-specific ladder-shape melting temperature isothermal amplification (LMTIA) assay was reported to detect soybean-derived components using proofreading enzyme-mediated probe cleavage (named Proofman), which could realize real-time and visual detection without uncapping. The results showed that, under the optimal temperature of 57 °C, the established Proofman–LMTIA method for the detection of soybean-derived components in dairy products was sensitive to 1 pg/μL, with strong specificity, and could distinguish soybean genes from those of beef, mutton, sunflower, corn, walnut, etc. The established Proofman–LMTIA detection method was applied to the detection of actual samples of cow milk and goat milk. The results showed that the method was accurate, stable and reliable, and the detection results were not affected by a complex matrix without false positives or false negatives. It was proved that the method could be used for the detection and identification of soybean-derived components in actual dairy products samples.

1 January 2022 in LWT
Verified
Journal Article
Open access
QWQuanzeng Wei
Quanzeng Wei
GLGaixin Liu
Gaixin Liu
CZChengli Zhang
Chengli Zhang
JSJuntao Sun
Juntao Sun
YZYongqing Zhang
Yongqing Zhang

25 May 2022 in Molecules
Verified
Journal Article
Open access
PDF file
YZYongqing Zhang
Yongqing Zhang
YWYongzhen Wang
Yongzhen Wang
XOXingmei Ouyang
Xingmei Ouyang
DWDe-Guo Wang
De-Guo Wang
FXFugang Xiao
Fugang Xiao
JSJuntao Sun
Juntao Sun
Food authenticity has become increasingly important as a result of food adulteration. To identify the authenticity of sweet potato starch noodles, the ladder-shape melting temperature isothermal amplification (LMTIA) method of determining cassava (Manihot esculenta Crantz) DNA in sweet potato starch noodles was used. A set of primers targeted at the internal transcription spacer (ITS) of cassava was designed, genomic DNA was extracted, the LMTIA reaction temperature was optimized, and the specificity of the primer was verified with the genomic DNAs of cassava, sweet potato (Ipomoea batatas L.), Solanum tuberosum L., Zea mays L., Vigna radiate L., Triticum aestivum L., and Glycine max (L.) Merr. The sensitivity with the serially diluted genomic DNA of cassava and the suitability for the DNA extracted from sweet potato starch adulterated with cassava starch were tested. The LMTIA assay for identifying the cassava component in sweet potato starch noodles was established. At the optimal temperature of 52 °C, the primers could specifically distinguish a 0.01% (w/w) cassava component added to sweet potato starch. Additionally, the LMTIA method was applied to the cassava DNA detection of 31 sweet potato starch noodle samples purchased from retail markets in China. Of these, 14 samples were positive. The LMTIA assay could be a reliable method for the rapid detection of cassava components in sweet potato starch noodles, to protect the rights of consumers and to regulate the sale market order of starch noodles.

2 November 2024 in Scientific Reports
Verified
Journal Article
Open access
PDF file
YZYongqing Zhang
Yongqing Zhang
DZDandan Zhang
Dandan Zhang
YWYanfang Wu
Yanfang Wu
XYXiaogang Yang
Xiaogang Yang
HLHaoying Li
Haoying Li
DWDeguo Wang
Deguo Wang
This study aimed to extend the storage time of fresh-cut lotus roots. A quantitative evaluation was conducted using the grey–correlation analysis method based on the variation–coefficient weight to observe the treatment of acetic acid (0, 2%, and 5%) and ozone (0, 0.3 mg/L, and 0.6 mg/L). Their effects on weight loss rate, browning degree, and the content of reducing sugar, ascorbic acid, and free amino acid were determined. Under varied treatments and storage time, the weight loss rate, browning degree, and content of nutritional components in fresh-cut lotus root differed. Result of the weighted correlation degree showed that for fresh-cut lotus root stored for more than 4 days, 0.3 mg/L ozone could be used as preservative to ensure the storage quality. These findings could provide a scientific basis for using acetic acid and ozone as preservative to extend the storage time of fresh-cut lotus root.