Ai-Qun Jia

Prof. Ai-Qun Jia

orcid

Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

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

Representative Publications

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10 March 2011 in Advanced Synthesis & Catalysis
Verified
Journal Article
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XZXingping Zhang
Xingping Zhang
DCDan Chen
Dan Chen
MZMiao Zhao
Miao Zhao
JZJing Zhao
Jing Zhao
AJAi-Qun Jia
Ai-Qun Jia
XLXingwei Li
Xingwei Li

21 January 2018 in Journal of Agricultural and Food Chemistry
Verified
Journal Article
Closed access
JZJin-Wei Zhou
Jin-Wei Zhou
HLHuai-Zhi Luo
Huai-Zhi Luo
HJHuan Jiang
Huan Jiang
TJTing-Kun Jian
Ting-Kun Jian
ZCZi-Qian Chen
Zi-Qian Chen
AJAi-Qun Jia
Ai-Qun Jia

27 June 2014 in Scientific Reports
Verified
Journal Article
Open access
NQNan Qin
Nan Qin
XTXiaojuan Tan
Xiaojuan Tan
YJYinming Jiao
Yinming Jiao
LLLin Liu
Lin Liu
WZWangsheng Zhao
Wangsheng Zhao
AJAi-Qun Jia
Ai-Qun Jia
Bacterial biofilms are particularly problematic since they become resistant to most available antibiotics. Hence, novel potential antagonists to inhibit biofilm formation are urgent. Here the influences of two natural products, ursolic acid and resveratrol, on biofilm of the clinical methicillin-resistant Staphylococcus aureus (MRSA) isolate were investigated using RNA-seq, and the differentially expressed genes were analyzed using Cuffdiff. The results showed that ursolic acid inhibition of biofilm formation may reduce amino acids metabolism and adhesins expression and resveratrol may disturb quorum sensing (QS) and the synthesis of surface proteins and capsular polysaccharides. In addition, the transcriptome analysis of resveratrol and the combination of resveratrol with vancomycin inhibition of established biofilm revealed that resveratrol would disturb the expression of genes related to QS, surface and secreted proteins, and capsular polysaccharides. These findings suggest that ursolic acid and resveratrol could be useful to be adjunct therapies for the treatment of MRSA biofilm-involved infections.

3 May 2017 in Frontiers in Microbiology
Verified
Journal Article
Open access
JZJinwei Zhou
Jinwei Zhou
SBShiyuan Bi
Shiyuan Bi
HCHongjuan Chen
Hongjuan Chen
TCTongtong Chen
Tongtong Chen
RYRui Yang
Rui Yang
AJAi-Qun Jia
Ai-Qun Jia
This study reported the efficacy of the metabolites of Plectosphaerella cucumerina, one phyllosphere fungus from Orychophragmus violaceus, against Pseudomonas aeruginosa quorum sensing (QS) and QS-regulated biofilms. The minimum inhibitory concentration (MIC) of the ethyl acetate (EtOAc) extract from P. cucumerina against P. aeruginosa PAO1 was 1.25 mg mL-1. At sub-MIC concentrations, P. cucumerina extract (0.25-1 mg mL-1) not only inhibited biofilm formation but also disrupted preformed biofilms of P. aeruginosa PAO1 without affecting its growth. Fluorescence and scanning electron microscope (SEM) showed architectural disruption of the biofilms when treated with P. cucumerina metabolites. Further investigation demonstrated that metabolites in P. cucumerina attenuated the QS-dependent virulence factors. LC-MS/MS spectra coupled with experimentally standard samples suggested that patulin and emodin might act as the principal components possessing anti-biofilm and antivirulence activities. This is the first report of (1) the isolation of P. cucumerina from the phyllosphere of Orychophragmus violaceus and (2) anti-biofilm, antivirulence and biofilm disruption activities of this fungus. Thus, this study provides fascinating new pathways for screening antipathogenic agents.

1 February 2015 in Aquatic Toxicology
Verified
Journal Article
Closed access
HXHua-Dong Xu
Hua-Dong Xu
JWJunsong Wang
Junsong Wang
MLMing-Hui Li
Ming-Hui Li
YLYan Liu
Yan Liu
TCTing Chen
Ting Chen
AJAi-Qun Jia
Ai-Qun Jia

1 March 2024 in Food Chemistry
Verified
Journal Article
Open access
VAVinothkanna Annadurai
Vinothkanna Annadurai
ODOwias Iqbal Dar
Owias Iqbal Dar
ZLZhu Liu
Zhu Liu
AJAi-Qun Jia
Ai-Qun Jia
Modern food chain supply management necessitates the dire need for mitigating food fraud and adulterations. This holistic review addresses different advanced detection technologies coupled with chemometrics to identify various types of adulterated foods. The data on research, patent and systematic review analyses (2018-2023) revealed both destructive and non-destructive methods to demarcate a rational approach for food fraud detection in various countries. These intricate hygiene standards and AI-based technology are also summarized for further prospective research. Chemometrics or AI-based techniques for extensive food fraud detection are demanded. A systematic assessment reveals that various methods to detect food fraud involving multiple substances need to be simple, expeditious, precise, cost-effective, eco-friendly and non-intrusive. The scrutiny resulted in 39 relevant experimental data sets answering key questions. However, additional research is necessitated for an affirmative conclusion in food fraud detection system with modern AI and machine learning approaches.