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Ouyang Qin

NameQin Ouyang

Technical postAssociate Professor

AddressWenhua Building 403, School of Food & Biological   Engineering, Jiangsu University

E-mailAssociate Professo

Education

Ph.D.,Jiangsu   University,2011-2014,Food Science and Engineering

M.S.,Jiangsu University,2009-2012,Food   Science and Engineering

B.S.,Jiangsu   University,2005-2009,Food Science and Engineering

Professional   Experience

2021/07-Present,   Jiangsu University, China, Professor,Doctoral supervisor

2018/12-2019/12,USDA/ARS,   Visiting Scholar

2017/05-2021/07,   Jiangsu University, China, Associate Professor

2014/07-   2017/05, Jiangsu University, China, Lecture

Scientific Research Field

Rapid,nondestructive&intelligent   sensing food quality and safety

Internet of   things perception& evaluation of early warningfor foodquality and safety

Social academic post and honor

Teaching Courses

For PhD   students: Theoretical Basis for Food Nondestructive Detection Techniques

For MS   students: Frontierdevelopment for Food Nondestructive Detection Techniques

For BS   students:Nondestructive Detection Techniques for Food   Quality,FoodSensoryEvaluation

Published   papers

Her papers   have been cited by SCI for more than 2500 times, with H index = 36. Some   first author/corresponding author papers in recent years are as follows

1. Tunable   multiplexed fluorescence biosensing platform for simultaneous and selective   detection of paraquat and carbendazim pesticides. Food Chemistry, 2022, 388:   132950.

2.   MIL-101(Cr)-induced nano-optical sensor for ultra-sensitive detection of   enrofloxacin in aquatic products using a fluorescence turn-on mechanism via   upconversion nanoparticles. Sensors and Actuators B: Chemical, 2022, 365:   131915.

3. Application   of portable visible and near-infrared spectroscopy for rapid detection of   cooking loss rate in pork: Comparing spectra from frozen and thawed pork. LWT   - Food Science and Technology, 2022, 160: 113304.

4. Recyclable   flexible upconversion-luminescence sensing platform for quantifying sulfite   based on inner filter effect. Analytica Chimica Acta, 2022, 1209: 339832.

5. Label-free   Au NRs-based SERS coupled with chemometrics for rapid quantitative detection   of thiabendazole residues in citrus. Food Chemistry, 2022, 375.

6. Ratiometric   upconversion fluorometric turn-off nanosensor for quantification of furfural   in foods. Sensors and Actuators B: Chemical, 2022, 350: 130843.

7. SERS-based   Au@Ag NPs Solid-phase substrate combined with chemometrics for rapid   discrimination of multiple foodborne pathogens. Spectrochimica Acta Part A:   Molecular and Biomolecular Spectroscopy, 2022, 270: 120814.

8.   Physicochemical indicators coupled with multivariate analysis for   comprehensive evaluation of matcha sensory quality. Food Chemistry, 2022,   371: 131100.

9.   Regenerative Flexible Upconversion-Luminescence Biosensor for Visual   Detection of Diethylstilbestrol Based on Smartphone Imaging. Analytical   Chemistry, 2021, 93(47): 15667-15676.

10.   Upconversion Nanoprobes Based on a Horseradish Peroxidase-Regulated Dual-Mode   Strategy for the Ultrasensitive Detection of Staphylococcus aureus in Meat.   Journal of Agricultural and Food Chemistry, 2021, 69(34): 9947-9956.

11. Recent   advances in assessing qualitative and quantitative aspects of cereals using   nondestructive techniques: A review. Trends in Food Science & Technology,   2021, 116: 815-828.

12. A highly   sensitive detection of carbendazim pesticide in food based on the   upconversion-MnO2 luminescent resonance energy transfer biosensor. Food   Chemistry, 2021, 349: 129157.

13.   Simultaneous quantification of chemical constituents in matcha with   visible-near infrared hyperspectral imaging technology. Food Chemistry, 2021,   350: 129141.

14. SERS   Sensors Based on Aptamer-Gated Mesoporous Silica Nanoparticles for   Quantitative Detection of Staphylococcus aureus with Signal Molecular   Release. Analytical Chemistry, 2021, 93(28): 9788-9796.

15. Lanthanide   ion (Ln3+)-based upconversion sensor for quantification of food contaminants:   A review. Comprehensive Reviews in Food Science and Food Safety, 2021, 20(4):   3531-3578.

16. Upconversion   nanoparticles-based FRET system for sensitive detection of Staphylococcus   aureus. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy,   2021, 255: 119734.

17. A SERS   aptasensor based on AuNPs functionalized PDMS film for selective and   sensitive detection of Staphylococcus aureus. Biosensors and Bioelectronics,   2021, 172: 112806.

18.   Application of benchtop NIR spectroscopy coupled with multivariate analysis   for rapid prediction of antioxidant properties of walnut (Juglans regia).   Food Chemistry, 2021, 359: 129928.

19. A turn-on   upconversion fluorescence sensor for acrylamide in potato chips based on   fluorescence resonance energy transfer and thiol-ene Michael addition. Food   Chemistry, 2021, 351: 129215.

20.   Development of a bimodal sensor based on upconversion nanoparticles and   surface-enhanced Raman for the sensitive determination of dibutyl phthalate   in food. Journal of Food Composition and Analysis, 2021, 100: 103929.

21. Rapid and   sensitive detection of diazinon in food based on the FRET between rare-earth   doped upconversion nanoparticles and graphene oxide. Spectrochimica Acta Part   A: Molecular and Biomolecular Spectroscopy, 2020, 239: 118500.

22. Rapid   prediction of caffeine in tea based on surface-enhanced Raman spectroscopy coupled   multivariate calibration. Microchemical Journal, 2020, 159: 105431.

23.   Ultra-sensitive detection of malathion residues using FRET-based upconversion   fluorescence sensor in food. Spectrochimica Acta Part A: Molecular and   Biomolecular Spectroscopy, 2020, 241: 118654.

24. A novel   hyperspectral microscope imaging technology for rapid evaluation of particle   size distribution in matcha. Journal of Food Engineering, 2020, 272: 109782.

25. Assessment   of matcha sensory quality using hyperspectral microscope imaging technology.   LWT - Food Science and Technology, 2020, 125: 109254.

26.   Measurement of total free amino acids content in black tea using electronic   tongue technology coupled with chemometrics. LWT - Food Science and   Technology, 2020, 118: 108768.

27. A   feasibility of nondestructive rapid detection of total volatile basic   nitrogen content in frozen pork based on portable near-infrared spectroscopy.   Microchemical Journal, 2020, 157: 105020.

28. Design of   Physicochemical Factors for Regulating the Retention Mechanism of   4-Aminothiophenol in Surface-Enhanced Raman Scattering toward Nitrite   Sensing. The Journal of Physical Chemistry C, 2020, 124(14), 7768-7776.

29. Detection   of mites Tyrophagus putrescentiae and Cheyletus eruditus in flour using   hyperspectral imaging system coupled with chemometrics. Journal of Food   Process Engineering, 2020, 43(6), e13386.

30. Rapid   sensing of total theaflavins content in black tea using a portable electronic   tongue system coupled to efficient variables selection algorithms. Journal of   Food Composition and Analysis, 2019, 75: 43-48.

Main Scientific Research Projects

1.Natural   Science Foundation of China (32172289), Study on the dynamic changing   regularity and the multi-sensor digital description of matcha drying quality

2.Natural   Science Foundation of China(31801633), study on the mechanism of rapid and   nondestructive testing matcha quality using hyperspectralmicroscopetechnology

3.National Key   R&D Project of China(2017YFC1600801),Intelligent real-time monitoring and   early warning technology for environmental impact factorsofanimal food   spoilage

4.National Key   R&D Project of China (2018YFD0700504), Research on evaluation technology   onrefinedtea quality

5.Natural   Science Foundation of Jiangsu Province (BK20190100), Study on rapid and   nondestructive technologies of food quality and safety

6.Natural   Science Foundation of Jiangsu Province (BK20150502),Research on bionic   mechanismforintelligent evaluation ofChinese ricewine quality

7.China   Postdoctoral Science Foundation (2016T90429),Research onmechanismfordata   fusion ofvisual, olfactory and taste sensing informationin evaluation of   Chinese ricewine quality

8.Open   FundofState Key Laboratory ofTea Plant Biology and   Utilization(SKLTOF20160101),Study on sensorsresponse mechanism and   interactiveperceptual informationin the intelligentevaluation of teaquality

9.Advanced   Talents Science Foundation of Jiangsu University (15JDG064),Research on   intelligent evaluation ofChinese ricewine quality

Patents

Authorized   more than 30 CN patents.

Scientific Research Achievements and Awards

Number of   postgraduates under supervision

7

Numbe  of   supervised masters and Ph.D.

1

Number of   supervised undergraduates

19

The above   information updated

May  2022



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