- Biosensors and bioinstrumentation
- Microbial predictive modeling
- Quantitative risk assessment
- Food safety engineering
- Biosensor for rapid screening of avian influenza in poultry
- Biosensors for rapid detection of foodborne pathogens
- Predictive models of pathogenic bacteria in food products
- Risk assessment of microbial hazards in food systems
Biosensors for detection of biological and chemical contaminants in agriculture, food and environment
An immuno-electrochemical biosensor was developed using immuno-magnetic beads for separation of SalmonellaTyphimurium and E. coli O157:H7 in food samples and enzymatic reaction for generation of electrochemical signals measured through a bienzyme (tyrosinase–horseradish peroxidase) electrode in a flow-injection analysis system. Then, a capillary column-based bioseparator/bioreactor was investigated for an optical immunosensor. Both electrochemical and optical biosensors could quantitatively detect S. Typhimurium and E. coli O157:H7 in a range of 101-107 cfu/ml in 1.5 h. A microfluidics-based chemiluminescent fiber optical biosensor was developed for detection of S. Typhimurium and Listeria monocytogenes and the results showed the pathogens could be detected at 100 cfu/ml within 1 h. A PCR-based biosensing method was studied to detect S. Typhimurium, L. monocytogenes and Campylobacter jejuni in food samples, by which as low as 2 cells/ml of target bacteria could be detected within 3 h. Interdigitated array microelectrode and magnetic micro/nanobeads based impedance biosensor was developed for detection of foodborne pathogens, and this method could detect 101-108 cells/ml in less than 1.5 h. QCM, SPR and Quantum Dots based biosensors were also studied for comparison. The results indicated that these biosensors are rapid, specific and sensitive, simple, portable and inexpensive in detection of pathogens in food, environmental and clinical samples. Microelectrodes, microfluidics, magnetic nanoparticles and nanotubes/nanowires are currently being studied for their applications in biosensors. Immuno-capillary based optical biosensors are being developed for rapid screening of two proteins linked to feed efficiency of breeder chickens and pesticide residues in vegetables and fruits.
Very recently, a microfluidics-based impedance biosensor in couple with magnetic nanoparticle-antibody conjugates for immunoseparation has been developed for in-field screening of avian influenza H5N1 virus. This portable, inexpensive biosensor is able to detect as low as 102 EID50/ml in 30 min. This research is also one of the projects supported by the USDA-MOST International Collaboration Program.
The biosensor research was supported by USDA/NRI, USDA/FAS, USDA/ARS, NSF, NAFSS, ASTA, ABI and the Food Safety Consortium. The biosensor research has resulted in five US patents pending that are licensed by BioDetection Instruments, LLC for technology transfer with two NSF/SBIR NIH/SBIR phase II projects and one NSF/STTR phase I project.
Modeling and simulation for microbial prediction and quantitative risk assessment in food and agriculture
The predictive microbial models including the first and second generation models were developed for survival/growth/death and cross-contamination of S. Typhimurium, C. jejuni and L. monocytogenes during food processing based on the data of both laboratory-scale and pilot-plant-scale experiments conducted for hatchery, scalding, chilling, cooking and refrigerating. A quantitative risk assessment model was developed based on Monte Carlo simulation using @Risk software for S. Typhimurium, C. jejuni and L. monocytogenes in poultry production and processing systems. The microbial kinetic models were integrated with the risk assessment model to predict the performance of foodborne pathogens in poultry. The simulation results provided the probability and consequence of microbial hazards associated with poultry products, including possible contamination of S. Typhimurium and L. monocytogenes. Sensitivity analysis presented the relationship between the risk and operation parameters or critical control points.
The research on microbial risk assessment models was funded by USDA/CSREES, USDA/NRI, USDA/ARS, NAFSS and the Food Safety Consortium. A website was built and an invention disclosure is filed.
Antimicrobial technologies and equipment for food processing and food safety
An electrical pasteurization system was designed and constructed for treatment of chilling brine used in food processing. Pilot-plant-scale tests showed that the flow-through system could reduce L. monocytogenes in brine by 1 log cfu/ml within 5 s, and could eliminate L. monocytogenes in recirculated chilling brine after 30 min operation. At the same time, electrolyzed water was investigated for antimicrobial treatment of chicken carcasses and chilling water to reduce S. Typhimurium and C. jejuni. The electrolyzed water reduced pathogenic bacteria on broiler carcasses by 2-3 log after 30 s spraying or 45 min chilling. Antimicrobial spray, using cetylpyridinium chloride or electrolyzed water was investigated for inactivation of S. Typhimurium and C. jejuni attached to chicken carcasses in processing, and more than 2 log reduction could be achieved with optimized temperature, pressure and time.
The antimicrobial technology research was supported by USDA/CSREES, EPRI/FTC, Food Safety Consortium, USPEA and industries including ALKAR, Tyson Foods, Simmons Foods, Electrochemical Technologies, Monsanto, and Johnson Food Equipment. The research in antimicrobial technology resulted in 4 US patents issued and 1 pending, four of which are licensed by Safe Food Corp.
- BENG 3113 Measurement and Control for Biological Systems
- BENG 4113 Risk Analysis for Biological Systems
- BENG 4123 Biosensors and Bioinstrumentation
- BENG 5103 Advanced Instrumentation for Biological Engineering
- BENG 5723 Food Safety Engineering
- B.S., Agricultural Engineering, Shenyang Agricultural University
- M.S., Agricultural Engineering, University of Nebraska-Lincoln
- Ph.D, Agricultural Engineering, Pennsylvania State University
Selected Refereed Articles (past five years, from a total of 155 articles published; *corresponding author):
Guo, J., Z.M. Li, K. Huang, Y. Li, and J.P. Wang. 2017. Morphological analysis of Escherichia coli treated with non-thermal plasma. Journal of Applied Microbiology 122(1):87-96. (available online October 28, 2016) doi:10.1111/jam.13335
Ning, F.J., T.T. Qiu, Q. Wang, H.L. Peng, Y. Li, X.Q. Wu, Z. Zhang, L.X. Chen, and H. Xiong. 2017. Dummy-surface molecularly imprinted polymers on magnetic graphene oxide for rapid and selective quantification of acrylamide in heat-processed (including fried) foods. Food Chemistry 221:1797-1804. (available online October 24, 2016).doi.org/10.1016/j.foodchem.2016.10.101
Wang, L.J., R. Wang, F. Chen, T.S. Jiang, H. Wang, M Slavik, H. Wei, and Y. Li*. 2017. QCM-based aptamer selection and detection of Salmonella Typhimurium. Food Chemistry 221:776-782. doi.org/10.1016/j.foodchem.2016.11.104
- Wang, R.H., L.J. Wang, Z. Callaway, H.G. Lu, T.J. Huang, and Y. Li*. 2017. A nanowell-based QCM aptasensor for rapid and sensitive detection of avian influenza virus. s an Actuators B: Chemical 240:934-940.doi.org/10.1016/j.snb.2016.09.067
- Xu, M., R. Wang, and Y. Li*. 2017. Electrochemical biosensors for rapid detection of E. coli O157:H7- A review. Talanta 162:511-522.
Xu, L.Z., Z. Lu, L.L. Cao, H.Y. Pang, Q. Zhang, Y.C. Fu, Y.H. Xiong, Y.Y. Li, X.Y. Wang, J.P. Wang, Y.B. Ying, and Y. Li*. 2017. In-field detection of multiple pathogenic bacteria in food products using a portable fluorescent biosensing system. Food Control 75:21-28. doi.org/10.1016/j.foodcont.2016.12.018
- Callaway, Z., Wang, Y.X., B.H Zhang, T.M. Zhang, Z. Zhao, T. Costello, M.F. Slavik, and Y. Li*. 2016. A portable impedance biosensing system for rapid detection of avian influenza virus. Transactions of the ASABE 59(2):421-428.
- Hu, Q.Q., Y.C. Fu, X.H. Xu, Z.H. Qiao, R.H. Wang, Y. Zhang, and Y. Li*. 2016. A colorimetric detection of acrylamide in potato chips based on nucleophile-initiated thiolene Michael addition. Analyst 141:1136-1143.
- Karash, S., R. Wang, L. Kelso, H. Lu, T. Huang, and Y. Li*. 2016. Rapid detection of avian influenza virus H5N1 in chicken tracheal samples using an impedance aptasensor with gold nanoparticles for signal amplification. Journal of Virological Methods 236:147-156.
- Li, Z.M., Z.Z. Ye, Y.C. Fu, Y.H. Xiong and Y. Li*. 2016. A portable electrochemical immunosensor for rapid detection of trace aflatoxin B1 in rice. Analytical Methods 8:548-553.
- Lei, C.Y., H. Dai, Y.C. Fu, Y.B. Ying, and Y. Li*. 2016. Colorimetric sensor array for thiols discrimination based on urease-metal ion pairs. Analytical Chemistry 88(17):8542-8547.
- Lei, C.Y., Z.H. Qiao, Y.C. Fu, and Y. Li*. 2016. Colorimetric detection of lipopolysaccharides based on lipopolysaccharides-binding peptide and AuNPs. Analytical Methods 8:8079-8083.
Li, Z.M., Z.Z. Ye, Y.C. Fu, Y.H. Xiong and Y. Li*. 2016. A portable electrochemical immunosensor for rapid detection of trace aflatoxin B1 in rice. Analytical Methods 8:548-553. (published online December 7, 2015)
- Xu, L.Z., R.H. Wang, L. Kelso, Y.B. Ying, and Y. Li*. 2016. A target-responsive and size-dependent hydrogel aptasensor embedded with QD fluorescent labels for rapid detection of avian influenza virus H5N1. Sensors and Actuators B: Chemical 234:98-108.
- Xu, M., R.H. Wang, and Y Li*. 2016. Rapid detection of Escherichia coli O157:H7 and Salmonella Typhimurium in foods using an electrochemical immunosensor based on screen-printed interdigitated microelectrode and immunomagnetic separation. Talanta 148:200-208.
- Xu, M., R. Wang, and Y. Li*. 2016. An electrochemical biosensor for rapid detection of E. coli O157:H7 with highly efficient bi-functional glucose oxidase-polydopamine nanocomposites and Prussian blue modified screen-printed interdigitated electrode. Analyst 141:5441-5449.
- Zhang, B.H., R.H. Wang, Y.X. Wang, and Y. Li*. 2016. LabVIEW-based impedance biosensing system for detection of avian influenza virus. International Journal of Agricultural and Biological Engineering 9(4)116-122.
- Chen, R., X.L. Huang, H.Y. Xu, Y.H. Xiong, and Y. Li. 2015. Plasmonic ELISA using nanospherical brushes as a catalase container for colorimetric detection of ultralow concentrations of Listeria monocytogenes. ACS Appl. Mater. Interface 7:28632-28639. doi:10.1021/acsami.5b10181.
- Hu, Q.Q., X.H. Xu, Y.C. Fu, and Y. Li*. 2015. Rapid methods for detecting acrylamide in thermally processed foods: A review. Food Control 56:135-146. doi:10.1016/j.foodcont.2015.03.021
- Li, Z.M., Y.C. Fu, W.H. Fang, and Y. Li*. 2015. Electrochemical impedance immunosensor based on self-assembled monolayers for rapid detection of Escherichia coli O157:H7 with signal amplification using lectin. Sensors 15(8):19212-19224. doi:10.3390/s150819212.
- Lin, J.H., R. Wang, R.R. Jiao, Y.T. Li, Y. Li, M. Liao, Y.D. Yu, M.H. Wang. 2015. An impedance immunosensor based on low-cost microelectrodes and specific monoclonal antibodies for rapid detection of avian influenza virus H5N1 in chicken swabs. Biosens. Bioelectron. 67:546-552. doi:10.1016/j.bios.2014.09.037
- Lin, J.H., M. Li, Y. Li, and Q. Chen. 2015. A high gradient and strength bioseparator with nano-sized immunomagnetic particles for specific separation and efficient concentration of E. coli O157:H7. J. Magnet. Magnetic Materi. 378:206-213.
- Lum, J., R. Wang, B. Haggis, S. Tung, W. Bottje, H. Lu and Y. Li*. 2015. An impedance aptasensor with microfluidic chips for rapid and specific detection of avian influenza H5N1 and H7N2. Sensors 15(8):18565-18578. doi:10.3390/s150818565
- Wang, H., M. Slavik, Y. Li, and A. Wang. 2015. Rapid detection of Campylobacter jejuni in poultry products using QD-FRET based fluoroimmunoassay. Int. J. Poul. Sci. 14(10):548-553.
- Wang, L., R. Wang, B.-W. Kong, S. Jin, K.M. Ye, W.H. Fang, and Y. Li*. 2015. B cells using calcium signaling for specific and rapid detection of Escherichia coli O157:H7. Sci. Reports 5:10598.
- Wang, R., L.Z. Xu, and Y. Li*. 2015. Bio-nanogate controlled enzymatic reaction for virus sensing. Biosens. Bioelectron. 67:400-407. doi:10.1016/j.bios.2014.08.071
- Wang, R., J. Lum, Z. Callaway, J.H. Lin, W. Bottje, and Y. Li*. 2015. A label-free impedance immunosensor using screen-printed interdigitated electrodes and magnetic nanobeads for the detection of E. coli O157:H7. Biosensors 5:791-803. doi:10.3390/bios5040791
- Wang, W., M. Li, W. Fang, and Y. Li*. 2015. Intervention technologies for reducing Vibrio parahaemolyticus in sea foods: A review. J. Food Sci. 80(1):10-19. doi:10.1111/1750-3841.12727
- Wu, X.Q., Z. Zhang, J.H. Li, H.Y. You, Y. Li and L.X. Chen. 2015. Molecularly imprinted polymers-coated gold nanoclusters for fluorescent detection of bisphenol A. Sens. Actua. B: Chem. 211:507-514.
- Xu, L.Z., Z. Callaway, R. Wang, H. Wang, M.F. Slavik, A. Wang, and Y. Li*. 2015. A fluorescent aptasensor coupled with nanobeads-based immunomagnetic separator for simultaneous detection of four foodborne pathogenic bacteria. Trans. ASABE 58(3):891-906. doi:10.13031/trans.58.11089
- Yu, N.X., H.L. Peng, H. Xiong, X.Q. Wu, X.Y. Wang, Y. Li and L.X. Chen. 2015. Graphene quantum dots combined with copper(II) ions as a fluorescent probe for turn-on detection of sulfide ions. Microchim. Acta 182:2139-2146. doi:10.1007/s00604-015-1548-y
- Fu, Y.C., Z. Callaway, J. Lum, R. Wang, J.H. Lin, and Y. Li*. 2014. Exploring enzymatic catalysis in ultra-low ion strength media for ion strength increase-based impedance biosensing of virus using a bare interdigitated electrode. Analytical Chemistry 86(4):1965-1971.
- Han, F.F., X. Qi, L.Y. Li, L.J. Bu, Y.C. Fu, Q.J. Xie, M.L. Guo, Y. Li, Y.B. Ying, and S.Z. Yao. 2014. Bio-inspired preparation of fibrin-boned bionanocomposites of biomacromolecules and nanomaterials for biosensing. Advanced Functional Materials 24(31):5011-5018.
- Hu, Q.Q., X.H. Xu, Z.M. Li, L.Z. Xu, Y. Zhang, J.P. Wang, Y.C. Fu, and Y. Li*. 2014. Detection of acrylamide in potato chips using a fluorescent sensing method based on acrylamide polymerization-induced distance increase between quantum dots. Biosensors & Bioelectronics 54(15):64-71.
- Hu, Y.H., C.C. Wang, B. Bai, M.T. Li, R. Wang, and Y. Li. 2014. Rapid detection of Staphylococcus aureus using quantum dots as fluorescent labels. International Journal of Agricultural and Biological Engineering 7(1):77-83.
- Wang, H., Y. Li and M. Slavik. 2014. Rapid Detection of Campylobacter jejuni in poultry products using quantum dots and nanobeads based fluorescent immunoassay. International Journal of Poultry Science 13(5):253-259.
- Wang, R., L.Z. Xu, and Y. Li*. 2014. Bio-nanogate controlled enzymatic reaction for virus sensing. Biosensors & Bioelectronics. (in press)
- Xu, L.Z., X. Xu, H. Xiong, L.X. Chen and Y. Li*. 2014. Rapid detection of vegetable cooking oils adulterated with inedible used oils using fluorescence quenching method with aqueous CTAB-coated quantum dots. Sensors and Actuators B: Chemical 203:697-704.
- Zhou, L, J.P. Wang, D.J. Li, and Y. Li. 2014. An electrochemical aptasensor based on Au nanoparticles dotted graphene modified glassy carbon electrode for label-free detection of bisphenol A in milk samples. Food Chemistry 162:34-40.
- Brockman, L., R. Wang, J. Lum, and Y. Li*. 2013. A QCM aptasensor for rapid and specific detection of avian influenza virus. Open J. Appl. Biosens. 2(4):97-103.
- Chen, P., Y. Li, T. Cui, and R. Ruan. 2013. Nanoparticles based sensors for rapid detection of foodborne pathogens. Intl. J. Agri. Biol. Engr. 6(1):1-7.
- Fu, Y., Z. Callaway, J. Lum, R. Wang, J. Lin, and Y. Li*. 2013. Exploring enzymatic catalysis in ultra-low ion strength media for ion strength increase-based impedance biosensing of virus using a bare interdigitated electrode. Anal. Chem. (accepted November 3, 2013)
- Hu, Q.Q., X.H. Xu, Z.M. Li, L.Z. Xu, Y. Zhang, J.P. Wang, Y.C. Fu, and Y. Li*. 2013. Detection of acrylamide in potato chips using a fluorescent sensing method based on acrylamide polymerization-induced distance increase between quantum dots. Biosens. Bioelectron. 54(15):64-71.
- Li, M., A. Pradhan, W. Wang, and Y. Li*. 2013. Prediction of Listeria innocua in fully cooked chicken breast products during post-package hot water treatment. Poul. Sci. 92:827-835.
- Li, M., W. Wang, W. Fang, and Y. Li*. 2013. Inhibitory effects of chitosan coating combined with organic acids on Listeria monocytogenes in refrigerated ready-to-eat shrimps. J. Food Prot. 76(8): 1377-1383.
- Wang, R., and Y. Li*. 2013. Hydrogel based QCM aptasensor for detection of avian influenza. Biosens. Bioelectron. 42:148-155.
- Wang, R., J. Zhao, T. Jiang, Y.M. Kwon, H. Lu, P. Jiao, M. Liao, and Y. Li*. 2013. Selection and characterization of DNA aptamers for use in detection of avian influenza H5N1. J. Virol. Methds 198: 362-369.
- Wang, W., M. Li, and Y. Li*. 2013. Modeling the thermo-ultrasound inactivation of Vibrio parahaemolyticus in shrimps. J. Food Prot. 76(10): 1712-1718.
- Wang, W., M. Li, W. Fang, A. Pradhan and Y. Li*. 2013. A predictive model for assessment of decontamination effect of latic acid and chitosan used in combination on Vibrio parahaemolyticus in shrimps. Intl. J. Food Microbiol. 167(2): 124-130.
- Xu, X., X. Liu, Y. Ying, and Y. Li. 2013. A simple and rapid optical biosensor for detection of aflatoxin B1 based on competitive dispersion of gold nanorods. Biosens. Bioelectron. 47C:361-367.
- Zhou, L., Wang, J.P., L. Gai, D. Li, and Y Li. 2013. An amperometric sensor based on ionic liquid and carbon nanotube modified composite electrode for the determination of nitrite in milk. Sens. Actuat. B: Chem. 181:65-70.
Selected Patents (past five years, from a total of 12 patents issued):
- Su, X., Z. Ye, Q. Sun and Y. Li. 2013. Versatile Multichannel Capillary Biosensor System. US. Patent No. 8,545,773, October 1, 2013.
- Li, Y., and Y. Liu. 2012. Capillary-Column-Based Bioseparator/Bioreactor with an Optical/ Electrochemical Detector for Detection of Microbial Pathogens. US Patent No. 8,211,657, July 3, 2012.
- Compadre, C.M., P.J. Breen, H. Salari, E.K. Fifer, D.L. Lattin, M.F. Slavik, Y. Li, T. O’Brien, A.L. Waldroup and T.F. Berg. 2012. Concentrated, Non-foaming Solution of Quaternary Ammonium Compounds and Methods of Use. US Patent No. 8,323,673, December 4, 2012.
- Li, Y., and X. Su. 2011. Method for Detecting an Unknown Contaminant Concentration in a Substance. US Patent No. 7,939,343 B2, May 10, 2011.
- Li, Y., M. Varshney, and Z. Ye. 2010. Separation System and Efficient Capture of Contaminants Using Magnetic Nanoparticles. US Patent No. 7,699,979 B2, April 20, 2010.
- Distinguished Professor (2014-present)
- Tyson Endowed Chair in Biosensing Engineering (2007-present)
- Professor (2003-2014)
- Associate Professor (1999-2003)
- Assistant Professor (1994-1999)
- Research Assistant Professor (1993-1994)
- Postdoctoral Research Associate (1989-1992)
Department of Biological and Agricultural Engineering, Center of Excellence for Poultry Science, University of Arkansas, Fayetteville, AR
Memberships in Professional Societies:
- American Society of Agricultural and Biological Engineers (ASABE), Fellow
- American Society for Engineering Education (ASEE)
- Institute of Biological Engineering (IBE)
- Institute of Electrical and Electronics Engineers (IEEE)
- Institute of Food Technologists (IFT)
- International Association for Food Protection (IAFP)
- Poultry Science Association (PSA)
- Society for Risk Analysis (SRA)
Memberships in Honorary Organizations:
- Alpha Epsilon, Biological and Agricultural Engineering Honor Society
- Gamma Sigma Delta, Agricultural Honor Society
- Sigma Xi, Scientific Research Society
- National Academy of Inventors
Journal Editorial Services:
- Editor (2006-2009), Associate Editor (2009-2015) of Biological Engineering Transactions
- Associate Editor of Transactions of the ASABE and Applied Engineering in Agriculture (2002-present).
- Member of the Editorial Board: Journal of Food Protection (2005-2008), Journal of Food Measurement and Characterization (2006-present), Open Journal of Applied Biosensor (2012-present), Advances in Microbiology (2012-present), Detection (2013-present), Austin Journal of Biosensors & Bioelectronics (2014-present), International Scholarly Research Notices (2014-present), SOJ Biosensors, Biomarkers & Diagnostics (2015-present), and CNAE Frontiers of Agricultural Science and Engineering (2015-present).
- 2016 ASABE Superior Paper Award
- 2016 IAFP John N. Sofos Most-cited JFP Research Publication Award
- ASABE-ITSC Paper Award, 2015
- Outstanding Research Award in Biological & Agricultural Engineering, Engineering College, University of Arkansas, 2014-2015
- Member of National Academy of Inventors, 2014
- Spitze Land Grant University Faculty Award for Excellence, University of Arkansas, 2013
- Outstanding Engineering Alumnus, Pennsylvania State University, 2012
- ASABE Superior Paper Award, American Society of Agricultural and Biological Engineers, 2012
- Outstanding Research Award in Biological & Agricultural Engineering, Engineering College, University of Arkansas, 2011-2012
- Adjunct Distinguished Professor, Zhejiang University, 2010-2013
- Fellow of ASABE (American Society of Agricultural and Biological Engineers), 2009
- John W. White Outstanding Research Award, Dale Bumpers College of Agricultural, Food and Life Sciences, University of Arkansas, 2008
- Tyson Endowed Chair in Biosensing Engineering, University of Arkansas, 2007
- Bao Yugang Visiting Professor Scholarship, Zhejiang University, 2007-2010
- John Imhoff Outstanding Research Award, College of Engineering, University of Arkansas, 2006
- ASABE Superior Paper Award, American Society of Agricultural and Biological Engineers, 2006
- Outstanding Research Award in Biological & Agricultural Engineering, Engineering College, University of Arkansas, 2004-2005
- Candidate of the Walton Endowed Chair in Biosensing Engineering, the Walton Foundation, University of Arkansas, 2003
- Alumni Award for Distinguished Achievement in Research and Service, University of Arkansas Alumni Association, 2003
- Arkansas Outstanding Agricultural Engineer Award, Arkansas Section of the American Society of Agricultural Engineers, 2002
- Research Award of Merit, the Arkansas Chapter of Gamma Sigma Delta, the Honor Society of Agriculture, 2002
- Outstanding Research Award in Biological & Agricultural Engineering, Engineering College, University of Arkansas, 2001-2002
- Outstanding Research Award in Biological & Agricultural Engineering, Engineering College, University of Arkansas, 2000-2001
- Texas Instrument Outstanding Research Award in Biological & Agricultural Engineering, Engineering College, University of Arkansas, 1996-1997