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Huanhuan Li


NameHuanhuan Li

Technical postAssociate Professor, PhD supervisor

AddressWenhua Building-401, School of Food & Biological   Engineering, Jiangsu University, Xuefu Road 301, Zhenjiang 212013, PR China

E-mailjiona1044@ujs.edu.cn

Education

Qiqihar University, BS, 2012
Jiangsu University, MS, 2015
Jiangsu University, PhD, 2018


Professional Experience

2018/06- 2021/06, Jiangsu University, China, Lecture
2020.01-, Jiangsu University, China, Master supervisor

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

2023.01-, Jiangsu University, China, PhD supervisor


Scientific Research Field

Fast & nondestructive sensing food quality and safety
Raman spectral and imaging analysis
Real-time monitoring food processing
Bio-imaging technique for sensing food safety
Nanosensors for sensing food safety


Social academic post and honor

Member of youth Working Committee of Chinese Society for Agricultural Machinery

Member of Agricultural and Pideline Products Processing Machinery Branch, Chinese Society for Agricultural Machinery

Expert of jiangsu province high-quality waxy rice industry technology innovation strategic alliance technology Committee

Member of youth Committee of Jiangsu Agricultural Engineering Society

Guest Editor-Foods (Q1, IF=4.215) (Two special issues)

Editorial Board, International Journal of Food Engineering and Technology(IJFET)

Editorial Board, Journal of Food Research and Development

Editorial Board, Modern agriculture

Reviewer: TrAC TRENDS ANAL CHEM, FOOD CHEM, LWT-FOOD SCI TECHNOL, J FOOD ENG, POSTHARVEST BIOL TEC, FOOD CONTROL, COMPUT ELECTRON AGR, J SCI FOOD AGR et al.

Member of tea industry system in Jiangsu Province

ASABE member

Member of Tea Society in Jiangsu Province

Jiangsu high-tech enterprise evaluation expert

Top ten young faculty members of Jiangsu University


Teaching Courses

For PhD students: Theoretical Basis for Food Nondestructive Detection Techniques; Advanced instrumental analysis
For MS students: Frontier development for Food Nondestructive Detection Techniques; Modern instrumental analysis
For BS students: Modern food detection technology; Food Safety


Published papers

Her papers have been cited by SCI for more than 3505 times, with H index = 35. Some first author/corresponding author papers in recent years are as follows:

[1] Li H, Geng W, Zheng Zi, et al. Stimuli-responsive SERS biosensor for ultrasensitive tetracycline sensing using EDTA-driven PEI@CaCO3 microcapsule and CS@FeMMs. Biosensors & Bioelectronics, 2023.

[2] Li H, Luo X, Haruna S A, et al. Rapid detection of thiabendazole in food using SERS coupled with flower-like AgNPs and PSL-based variable selection algorithms. Journal of Food Composition and Analysis, 2023(115): 105016.

[3] Li H, Hassan M, et al. A sensitive silver nanoflower-based SERS sensor coupled novel chemometric models for simultaneous detection of chlorpyrifos and carbendazim in food. LWT, 2022(167).

[4] Li H, Geng W, Haruna S A, et al. Identification of characteristic volatiles and metabolomic pathway during pork storage using HS-SPME-GC/MS coupled with multivariate analysis. Food Chemistry, 2022(373): 131431.

[5] Li H, Haruna S A, Wang Y, et al. Simultaneous quantification of deoxymyoglobin and oxymyoglobin in pork by Raman spectroscopy coupled with multivariate calibration. Food Chemistry, 2022(3): 131146.

[6] Li H, Geng W, Haruna S A, et al. A target-responsive release SERS sensor for sensitive detection of tetracycline using aptamer-gated HP-UiO-66-NH2 nanochannel strategy. Analytica Chimica Acta, 2022(1220):339999.

[7] Li H, Geng W, Zhang M, et al. Qualitative and quantitative analysis of volatile metabolites of foodborne pathogens using colorimetric-bionic sensor coupled robust models. Microchemical Journal, 2022 (177).

[8] Li H, Haruna S A, Geng W, et al. Fabricating a novel colorimetric-bionic sensor coupled multivariate calibration for simultaneous determination of myoglobin proportions in pork. Sensors and Actuators B: Chemical, 2021(15):130181.

[9] Li H, Geng W, Hassan M M, et al. Rapid Detection of Chloramphenicol in Food using SERS Flexible Sensor Coupled Artificial Intelligent Tools. Food Control, 2021(10): 108186.

[10] Li H, Geng W, Sun X, et al. Fabricating a nano-bionic sensor for rapid detection of H2S during pork spoilage using Ru NPs modulated catalytic hydrogenation conversion. Meat Science, 2021(1):108507.

[11] Li H, Hassan M M, Wang J, et al. Investigation of nonlinear relationship of surface enhanced Raman scattering signal for robust prediction of thiabendazole in apple. Food Chemistry, 2021(339):127843. (ESI High cited and Hot paper)

[12] Liu S1, Li H1. SERS based artificial peroxidase enzyme regulated multiple signal amplified system for quantitative detection of foodborne pathogens. Food Control, 2021(123): 107733.

[13] Li H, Huang X, Hassan M M, et al. Dual-channel biosensor for Hg2+ sensing in food using Au@Ag/graphene-upconversion nanohybrids as metal-enhanced fluorescence and SERS indicators. Microchemical Journal, 2020(154):104563.

[14] Li H, Ahmad W, Rong Y, et al. Designing An Aptamer Based Magnetic and Upconversion Nanoparticles Conjugated Fluorescence Sensor for Screening Escherichia Coli in Food. Food control. 2020(1):106761.(ESI High cited paper)

[15] Li H, Liu S, Hassan M M, et al. Rapid quantitative analysis of Hg2+ residue in dairy products using SERS coupled with ACO-BP-AdaBoost algorithm. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy. 2019(12):117281.

[16] Li H, Hu. W, Chen Q*, et al.A facile and sensitive SERS-based biosensor for colormetric detection of acetamiprid in green tea based on unmodified gold nanoparticles, Journal of food measurement and characterization. 2019(3):259-268.

[17] Li H, Chen Q*, et al. AuNS@Ag core-shell nanocubes grafted with rhodamine for concurrent metal-enhanced fluorescence and surfaced enhanced Raman determination of mercury ions, Analytica Chimica Acta, 2018(14):94-103.

[18] Li H, Chen Q*, et al. A Magnetite/PMAA nanospheres-targeting SERS aptasensor for tetracycline sensing using mercapto molecules embedded core/shell nanoparticles for signal amplification, Biosensors & Bioelectronics, 2017(92):192-199.

[19] Chen Q*, Li H, Ouyang Q, et al. Identification of spoilage bacteria using a simple colorimetric sensor array. Sensors & Actuators B Chemical, 2014(205):1-8.

[20] Li H, Chen Q*, Zhao J, et al. Enhancing the antimicrobial activity of natural extraction using the synthetic ultrasmall metal nanoparticles. Scientific Reports, 2015(5):11033-11040.

[21] Li H, Chen Q*, Zhao J, et al. Fabricating upconversion fluorescent nanoparticles modified substrate for dynamical control of cancer cells and pathogenic bacteria. Journal of Biophotonics, 2016(6):1-9.(二区,IF=3.768)

[22] Li H, Xin S, Pan W, et al. Feasibility study on nondestructively sensing meat's freshness using light scattering imaging technique.Meat Science, 2016(119):102-109.

[23] Li H, Chen Q*, Zhao J, et al. Nondestructive detection of total volatile basic nitrogen (TVB-N) content in pork meat by integrating hyperspectral imaging and colorimetric sensor combined with a nonlinear data fusion. LWT-Food Science and Technology, 2015, 63(1):268-274.

[24] Li H, Chen Q*, et al. Fabricating a novel Raman spectroscopy-based aptasensor for rapidly sensing Salmonella typhimurium. Food analytical methods, 2017(10): 3032-3041.

[25] Li H, Kutsanedzie F, Zhao J, et al. Quantifying Total Viable Count in Pork Meat Using Combined Hyperspectral Imaging and Artificial Olfaction Techniques. Food Analytical Methods, 2016:1-10.

[26] Chen Q*, Li H, Zhao J, et al. Non-destructive evaluation of pork freshness using a portable electronic nose (E-nose) based on a colorimetric sensor array. Analytical Methods, 2014(16):6271-6277.

[27] Li H, Chen Q*, et al. Monitoring black tea fermentation using a colorimetric sensor array-based artificial olfaction system, Journal of Food Processing and Preservation, 2017, e13348.

[28] Xu Y, He P, Ahmad W, ...Li H*, Chen Q*. Catalytic hairpin activated gold-magnetic/gold-core-silver-shell rapid self-assembly for ultrasensitive Staphylococcus aureus sensing via PDMS-based SERS platform. Biosensors and Bioelectronics, 2022(209): 114240.

[29] Hassan M, ...Li H*, Chen Q*. Rapid detection and prediction of chloramphenicol in food employing label-free HAu/Ag NFs-SERS sensor coupled multivariate calibration. Food Chemistry, 2022(374): 131765.

[30] Xu J, Liu R, Li H*, et al, Multifunctional upconversion nanoparticles based LRET aptasensor for specific detection of As(III) in aquatic products. Sensors and Actuators B: Chemical, 2022(369):132271.

[31] Wei W, Li H*, Haruna SA, et al,Monitoring the freshness of pork during storage via near-infrared spectroscopy based on colorimetric sensor array coupled with efficient multivariable calibration.Journal of Food Composition and Analysis, 2022(113):104726.

[32] Xu Y, Hassan M, ...Li H*, Ouyang Q, Chen Q*. Self-Cleaning-Mediated SERS Chip Coupled Chemometric Algorithms for Detection and Photocatalytic Degradation of Pesticides in Food. Journal of Agricultural and Food Chemistry, 2021(69): 1667-1674.

[33] Ali S, Chen X, ... Li H*, Chen Q*. The avenue of fruit wastes to worth for synthesis of silver and gold nanoparticles and their antimicrobial application against foodborne pathogens: A review, Food Chemistry, 2021(359): 129912.

[34] Xu Y, Kutsanedzie F, Hassan M, ...Li H*, Chen Q*. Mesoporous silica supported orderly-spaced gold nanoparticles SERS-based sensor for pesticides detection in food, Food Chemistry, 2020(315): 126300.

[35] Hassan M, Ahmad W, ...Li H*, Chen Q*. Rapid detection of mercury in food via rhodamine 6G signal using surface-enhanced Raman scattering coupled multivariate calibration, Food Chemistry, 2021(358): 129844.

[36] Marimuthu M, Arumugam S, ... Li H*, Chen Q*. Metal organic framework based fluorescence sensor for detection of antibiotics, Trends in Food Science & Technology, 2021(116): 1002-1028.

[37] Xu Y, Hassan M, ...Li H*, Chen Q*. Dual-mode of magnetic assisted Au@Ag SERS tags and cationic conjugated UCNPs for qualitative and quantitative analysis of multiple foodborne pathogens, Sensors and Actuators B: Chemical, 2021(344): 130305.

[38] Xu Y, Hassan M, ...Li H*, Chen Q*. Recent advancement in nano-optical strategies for detection of pathogenic bacteria and their metabolites in food safety, Critical Reviews in Food Science and Nutrition, 2021.

[39] Jiang L, Hassan M, ...Li H*, Chen Q*. Evolving trends in SERS-based techniques for food quality and safety: A review, Trends in Food Science & Technology, 2021(112): 225-240.

[40] Jiao T, Ahmad W, ... Li H*, Chen Q*. Aggregation triggered aflatoxin B1 determination in foodstuff employing 5-aminotetramethylrhodamine decorated gold-silver core-shell nanoparticles in surface enhanced Raman scattering, ensors and Actuators B: Chemical, 2021(331): 129424.

Main Scientific Research Projects

[1] National Natural & Science Foundation of China (General), No.32272406, host

[2] National Natural & Science Foundation of China (Youth), No.31901772, host

[3] Independent Innovation Fund Project of Agricultural Science and Technology in Jiangsu Province, No CX (20)2005), Task host

[4] Changzhou Key Research and Development Project, No NY2022015, host

[5] Zhenjiang Key Research and Development Project, No NY2021023, host

[6] China Postdoctoral Science Foundation, No 2019M651748, host

[7] Jiangsu Province Postdoctoral Science Foundation, No 2021K037A, host

[8] Jiangsu Province Talent Support Project Fund, host

[9] Young talents of Jiangsu University, host

[10] Enterprise horizontal cooperation project, host

[11] National Engineering Laboratory for Agri-product Quality Traceability, Beijing Technology and Business University, No AQT-2020-YB1, host

[12] The fund of Guangdong Provincial Key Laboratory of Food Quality and Safety, China No 2019KF002, host

[13] National Natural & Science Foundation of China, No.31972154, 580,000, Main join

[14] National Natural & Science Foundation of China, No.31772063, 600,000, Main join
National Key R&D Project of China, No. 2016YFD0401205, 1240,000, Main join
Key R&D Project of Jiangsu Province-General program, No. BE2017357, 1000,000, Main join

[15] Key R&D Subproject of Ningxia Hui Autonomous Region, No. 2018BCF01001, 820,000, Main join

[16] Natural Science Foundation of Jiangsu Province, No BK20190100, 580,000, Main join


Patents

Authorized more than 30 invention patents, Applied 3 PCT patents

Scientific Research Achievements and Awards

[1] First Prize of Science and Technology Progress of China Light Industry Association in 2021

[2] Great Beinong Science and Technology Innovation Award in 2021

[3] Second Prize of Technology Progress of China Institute of Food Science and Technology in 2020

[4] Second Prize of Light industry Science and Technology of Jiangsu Province in 2019

[5] Second Prize of Science and Technology of China Chamber of Commerce in 2018

[6] Excellent Doctoral dissertation of Jiangsu University in 2018

[7] Top ten Young Faculty members of Jiangsu University in 2022

[8] Second prize of Jiangsu Province in the 15th Challenge Cup Science and Technology Competition in 2017

[9] Excellent master's thesis of jiangsu province, 2016

[10] Published the teaching reform paper "Modern Food Detection Technology Course Teaching Reform and Discussion based on OBE Concept" as the first author, Agricultural Products Processing, 2020

[11] The third prize of Jiangsu University Micro-lesson Teaching Competition in 2019

Number of postgraduates under supervision

6

Number of supervised masters and Ph.D.


Number of supervised undergraduates

15

The above information updated

February, 2023




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