Xiaoou Su

Xiaoou Su


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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1 January 2018 in Talanta
Verified
Journal Article
Closed access
MZMengmeng Zhao
Mengmeng Zhao
PWPeilong Wang
Peilong Wang
YGYajuan Guo
Yajuan Guo
LWLixu Wang
Lixu Wang
FLFang Luo
Fang Luo
GCGuonan Chen
Guonan Chen

1 March 2016 in Biosensors and Bioelectronics
Verified
Journal Article
Closed access
FYFei Yang
Fei Yang
Peilong WangPeilong Wang
Peilong Wang
RWRuiguo Wang
Ruiguo Wang
YZYing Zhou
Ying Zhou
XSXiaoou Su
Xiaoou Su
DYDongsheng Yao
Dongsheng Yao

1 March 2016 in Biosensors and Bioelectronics
Verified
Journal Article
Closed access
Peilong WangPeilong Wang
Peilong Wang
RWRuiguo Wang
Ruiguo Wang
WZWei Zhang
Wei Zhang
XSXiaoou Su
Xiaoou Su
HLHaifeng Luo
Haifeng Luo

5 February 2016 in The Analyst
Verified
Journal Article
Closed access
PDF file
PWPeilong Wang
Peilong Wang
XSXiaohua Sun
Xiaohua Sun
XSXiaoou Su
Xiaoou Su
TWTie Wang
Tie Wang
Molecularly imprinted technology (MIT) has been widely employed to produce stable, robust and cheap molecularly imprinted polymer (MIP) materials that possess selective binding sites for recognition of target analytes in food, such as pesticides, veterinary drugs, mycotoxins, illegal drugs and so on. Because of high selectivity and specificity, MIPs have drawn great attention in the food safety field. In this review, the recent developments of MIPs in various applications for food safety, including sample preparation, chromatographic separation, sensing, immunoassay etc., have been summarized. We particularly discuss the advancements and limitations in these applications, as well as attempts carried out for their improvement.

28 January 2022 in Foods
Verified
Journal Article
Open access
PDF file
AHAloys HITABATUMA
Aloys HITABATUMA
Peilong WangPeilong Wang
Peilong Wang
XSXiaoou Su
Xiaoou Su
MMMengmeng Ma
Mengmeng Ma
Food contains a variety of poisonous and harmful substances that have an impact on human health. Therefore, food safety is a worldwide public concern. Food detection approaches must ensure the safety of food at every step of the food supply chain by monitoring and evaluating all hazards from every single step of food production. Therefore, early detection and determination of trace-level contaminants in food are one of the most crucial measures for ensuring food safety and safeguarding consumers’ health. In recent years, various methods have been introduced for food safety analysis, including classical methods and biomolecules-based sensing methods. However, most of these methods are laboratory-dependent, time-consuming, costly, and require well-trained technicians. To overcome such problems, developing rapid, simple, accurate, low-cost, and portable food sensing techniques is essential. Metal-organic frameworks (MOFs), a type of porous materials that present high porosity, abundant functional groups, and tunable physical and chemical properties, demonstrates promise in large-number applications. In this regard, MOF-based sensing techniques provide a novel approach in rapid and efficient sensing of pathogenic bacteria, heavy metals, food illegal additives, toxins, persistent organic pollutants (POPs), veterinary drugs, and pesticide residues. This review focused on the rapid screening of MOF-based sensors for food safety analysis. Challenges and future perspectives of MOF-based sensors were discussed. MOF-based sensing techniques would be useful tools for food safety evaluation owing to their portability, affordability, reliability, sensibility, and stability. The present review focused on research published up to 7 years ago. We believe that this work will help readers understand the effects of food hazard exposure, the effects on humans, and the use of MOFs in the detection and sensing of food hazards.

1 March 2019 in Food Chemistry
Verified
Journal Article
Closed access
JCJie Cheng
Jie Cheng
SZSu Zhang
Su Zhang
SWShi Wang
Shi Wang
Peilong WangPeilong Wang
Peilong Wang
XSXiaoou Su
Xiaoou Su
JXJianchun Xie
Jianchun Xie