Dr.
Yanbin Li
Professor
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| Research
Description:
Dr. Yanbin Li's research interest is food processing
and bioprocessing engineering, specifically in food safety engineering.
He conducts research projects in three areas of food safety engineering:
microbial detection, microbial control and microbial prediction.
Biosensors
for rapid detection of pathogens
An immuno-electrochemical
biosensor was developed using immuno-magnetic beads for separation
of target bacteria and enzymatic reaction for generation of electrochemical
signals measured through a tyrosinase electrode in a flow-injection
analysis system. The biosensor could detect 8x102-5x105 cfu/ml of
Salmonella Typhimurium in poultry carcass wash water within 2 h. The
biosensor was further improved using a bienzyme electrode (tyrosinase–horseradish
peroxidase biosensor) and this resulted in a lower detection limit,
100 cfu/ml for both S. Typhmurium and Escherichia coli O157:H7. At
the same time, the capillary column-based bioseparator/bioreactor
was developed to replace the separation method using immuno-magnetic
beads. A chemiluminescent optical fiber biosensor was investigated
for detection of S. Typhmurium and E. coli O157:H7 in food samples
and the results showed the pathogens could be detected at 300 cfu/ml
within 1.5 h. A PCR-based biosensing method also was developed for
detection of S. Typhimurium and Campylobacter jejuni in poultry samples.
As low as 2 cells/ml of bacteria could be detected within 3 h using
the PCR-based biosensor. Impedance immunosenor was studied for detection
of viable E. coli O157:H7 and S. Typhimurium, and this method could
detect 10 cells within 5 h. The results of these biosensors showed
great potentials for low detection limit (PCR-based and impedance),
rapid and sensitive (chemiluminescent), accurate and reliable (electrochemical),
simple and practical (immuno-optical), and viable cells (immuno-impedance)
features in future applications. Microelectrodes, microfluidics and
nanocrystal markers are currently being studied for their applications
in biosensors.
These projects were supported by the grants from USAD/NRI, the Food
Safety Consortium, ASTA and CSTAR. For biosensor research, Dr. Li
collaborated with professionals in microbiology, chemistry and biochemistry,
electrical engineering, physics, food science and poultry science.
He was also involved in several research centers and institutes on
campus, including Center for Sensing Technology and Research, Micro-Electronics
and Photonics Program, High Density Electronics Center, Center of
Excellence for Poultry Science, and Institute for Food Science and
Engineering.
The biosensor research has resulted in six invention disclosures,
two patents filed and two patents in filing, and a company, BioDetection
Instruments, Inc., being incubated by Virtual Incubation Corporation,
Fayetteville, AR, for technology transfer. As a cofounder, Dr. Li
serves as Chief Technology Officer.
Models
for microbial prediction and quantitative risk assessment
The
predictive microbial models including the first and second generation
models were developed for survival/growth/death and cross-contamination
of S. Typhimurium and C. jejuni during poultry processing based on
the data of both laboratory-scale and pilot-plant-scale experiments.
A quantitative risk assessment model was developed based on Monte
Carlo simulation using @RISK and Aanlytica software for S. Typhimurium
and C. jejuni in poultry production and processing systems. The microbial
models were used in the risk assessment model to predict the performance
of pathogens. The simulation results provided the probability and
consequence of poultry products contaminated with pathogenic bacteria.
Sensitivity analysis presented the relationship between the risk and
operation parameters or critical control points.
The research on microbial risk assessment models was initiated in
1997 and funded by the Food Safety Consortium. A team was formed by
professionals in poultry science, food science and biological engineering
to develop quantitative microbial risk models to study scientific
basis for new regulations, assist the industry in practicing HACCP
programs, and enhance food safety for the society. In 2000, a project
was funded by USDA/CSREES to develop quantitative risk assessment
models for poultry products and vegetables. Three universities (University
of Arkansas, Oklahoma State University and University of Georgia)
are currently collaborating to make systematic approach for the microbial
risk assessment in research, education and extension.
Antimicrobial
technologies for food processing
An electrical
pasteurization system was designed and constructed for treatment of
brine chiller water used to chill cooked poultry and meat products.
Laboratory-scale tests had been finished for obtaining basic data
to design the prototype equipment in pilot-plant-scale tests. The
flow-through system could reduce Listeria monocytogenes in the brine
by more than 1 log cfu/ml within 5 s. A recirculating mode of this
system could eliminate L. monocytogenes in the brine after 30 min
operation. At the same time, electrochemically activated water (ECAW),
or electrolyzed water, was studied for treatment of fresh-cut vegetables
to reduce E. coli O157:H7, S. Typhimurium and L. monocytogenes. The
ECAW results showed that pathogenic bacteria on fresh-cut vegetables
including broccoli, cauliflower, and sprouts could be reduced by more
than 3 log cuf/ml after 5 min dipping or 15 s spraying treatments.
Antimicrobial spray, using cetylpyridinium chloride, trisodium phosphate,
electrolyzed water, chlorinated water, was investigated for inactivation
of S. Typhimurium and C. jejuni attached to chicken carcasses during
processing. Both laboratory scale and pilot plant scale spraying devices
were designed and tested. The results showed that S. Typhimurium and
C. jejuni on chicken carcasses could be reduced by 1-3 log, depending
on chemical concentration, temperature, pressure and time. These technologies
provide the food processing industry cost-effective ways for control
of pathogenic bacteria in food products.
The research on microbial control, electrochemical pasteurization
and antimicrobial spray for poultry processing, was funded by USDA/CSREES,
EPRI/FTC, the Food Safety Consortium, ALKAR, US Poultry & Egg
Association and supported by Tyson Foods, Inc., Simmons Foods, Inc.,
Electrochemical Technologies, Ltd., and Johnson Food Equipment, Inc.
Three US patents were issued and two are pending based on the results
of these research projects.
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| People:
[GROUP
PICTURE]
- Rami
Al-Haddad , Graduate Research Assistant
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(B.S.,
Electrical Engineering, University of Jordan, Jordan), Graduate
Research Assistant, MicroElectronics and Photonics Program.
His research involves MEMS based impedance immunosensor for
detection of pathogens in foods. 229 Engineering Hall; 479-575-6020;
Fax 479-575-2846; ralhadd@urk.edu
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- Byungchul
Kim , Graduate Research Assistant
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(B.S.,
M.S., Food Science, Pukyong National University, Korea), Graduate
Research Assistant, Department of Food Science. His research
focuses on capillary immunosensor for detection of multiple
pathogens in foods. O-419 Poultry Science; 479-575-7627; Fax
479-575-7139; bxk02@uark.edu
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- Latrecia
Lewis ,
Intern Research Assistant
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(Senior
student, Alcorn State University), Intern Research Assistant,
MicroElectronics and Photonics. She is involved in research
on microelectrode based immunosensor for detection of E. coli.
O-419 Poultry Science; 479-575-7627; Fax 479-575-7139; lalewis@uark.edu
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- Zhihui
Liu , Graduate Research Assistant
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(B.S.
Food Engineering, M.S. Food Science, China Agricultural University,
China; M.S., Food Science, University of Arkansas), Graduate
Research Assistant, Department of Biological and Agricultural
Engineering. He is working with research on electrochemical
treatment of chilling brine to reduce bacterial contamination
in meat processing. O-419 Poultry Science; 479-575-7627; Fax
479-575-7139; zxl02@uark.edu
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- Xiaole
Mao ,
Graduate Research Assistant
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(B.Eng.,
Biotechnology, Southern Yangtze University, China), Graduate
Research Assistant, Department of Biological and Agricultural
Engineering. His research involves MEMS-based DNA/RNA sensors
for detection of pathogenic bacteria. O-419 Poultry Science;
479-575-7627; Fax 479-575-7139; xmao@uark.edu
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- Abani
Pradhan , Graduate Research Assistant
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(B.
Tech., Agricultural Engineering, Orissa University of Agriculture
and Technology, India; M.Tech., Agricultural and Food Engineering,
Indian Institute of Technology-Kharagpur, India), Graduate Research
Assistant, Department of Biological and Agricultural Engineering.
His research focuses on antimicrobial treatment in food processing,
microbial predictive models and microbial risk assessment simulation
in food safety. O-419 Poultry Science; 479-575-7627; Fax 479-575-7139;
apradhan@uark.edu
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- Betty
Swem , Research Specialist
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(B.S.,
Animal Science; M.S., Food Science, University of Arkansas),
Research Specialist, Department of Poultry Science. Her research
involves antimicrobial methods for food processing. O-420 Poultry
Science; 479-575-7129; Fax 479-575-7139; blstrou@uark.edu
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- Xiaoli
Su , Research Associate
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(B.A.Pharmacy,
Hunan College of Traditional Chinese Medicine; M.S., Pharmacy,
China Pharmaceutical University; Ph.D Analytical Chemistry,
Hunan University, China), Research Associate, Department of
Biological and Agricultural Engineering. He is working with
research on biosensors for rapid detection of pathogens in foods.
O-413 Poultry Science; 479-575-6101; Fax 479-575-7139; xsu@uark.edu
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- Madhukar
Varshney, Graduate Research Assistant
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(B.Tech.,
Food Engineering, MGCGV University; M.Tech., Chemical Technology,
HBTI, India; M.S., Biological Engineering, University of Arkansas),
Graduate Research Assistant, Department of Biological and Agricultural
Engineering. His research focuses on MEMS based optical immunosensors
for detection of pathogenic bacteria in food products. O-419
Poultry Science; 479-575-7627; Fax 479-575-7139; mvarshn@uark.edu
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- Liju
Yang, Graduate Research Assistant
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(B.S.,
Hangzhou Normal University, M.S., Hangzhou University, China),
Graduate Research Assistant, Department of Biological and Agricultural
Engineering). She is working on impedance immunosensors for
detection of multiple pathogens. O-413 Poultry Science; 479-575-6101;
Fax 479-575-7139; lyang@uark.edu
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| Alumni:
- Darrel
Fos, Research Assistant
- Yongcheng
Liu, Research Associate
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[Research Interests: Immuno-optical, chemiluminescent
and PCR-based optical biosensors for rapid detection of pathogenic
bacteria in poultry and meat products]
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- Chuanmin
Ruan,
Research Associate
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[Research Interests: Immuno-electrochemical and immuno-impedance
biosensors for rapid detection of E. coli O157:H7 and Salmonella
typhimrium in food samples]
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- Shengyao
Wang,
Graduate Research Assistant
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[Research Interests: Quantitative microbial risk assessment
models for poultry products]
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- Hong
Yang, Research Specialist
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[Research Interests: Predictive models of Salmonella
typhimurium and Campylobacter jejuni during poultry processing]
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- Ira
Zakariadze, Research Associate
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[Research Interests: Quantitative risk assessment models
for Salmonella typhimurium and Campylobacter jejuni in poultry]
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| Laboratories:
- Biosensors
and Bioinstrumentation (POSC L-224) [PICTURE]
- Impedance analyzers
- Spectrophotometers
- Electrochemical Detectors (QCM,
SPR,
Fluorescent
Microscopes)
-
Voltmatic Stat
- PCR
- Luminometer
- Fluorescent detector
- Centrifuges
- Incubators, ovens, water baths
- Water purification unit
- Electronic instruments, such as oscilloscopes, function generators,
data acquisition units, power supplies
- Balances, pH meters
- Votex mixers, shakers, hotplates and magnetic stirrers
- Chemical Hoods
- Microbial
Detection (POSC L-222) [PICTURE]
- Spiral plater and auto counter
- Incubators
- CO2 incubators
- Dispensors, ovens, water baths
- Refrigerators and ultra-low freezer
- Biological and chemical hoods
- Microbial
Control and Modeling (POSC L-221) [PICTURE]
- ECA reactors
- Programmable power supplies
- Simulated poultry chiller bath
- Colorimeters, pH meters, conductivity meters, thermometers
- Recirculating programmable water and oil baths
- PC-based data acquisition units
- Software: MATLAB (Simulator, Fuzzy Control, Neural Network, Statistics,
etc.), Visual C++, Visual BASIC, @RISK, Analytica, JMP, SAS, AutoCAD.
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| Research
Projects:
- Microbial
Control:
- Electrochemically
Activated Water Treatment of Fresh-Cut Fruits and Vegetables MORE...
-
Antimicrobial Spray Methods in Poultry Processing MORE...
-
Bacterial Control System for Brine Chillers MORE...
- Microbial
Detection:
- Immuno-Electrochemical
Biosensor for Detection of S. typhimurium and E. coli O157:H7 MORE...
- Immuno-Optical Biosensor for Detection of Pathogens in Poultry and
Meat Products MORE...
- Chemiluminescent Fiber Optic Biosensor for Detection of Pathogens
in Foods MORE...
- PCR-Based Optical Biosensor for Detection of S. typhimurium and
C. jejuni in Poultry MORE...
- Rapid Detection of Bacteria Using Immuno-Fluorescence and Image
Analysis MORE...
- Microbial
Prediction:
- Predictive
Models of S. typhimurium and C. jejuni in Poultry Processing MORE...
-
A Quantitative Microbial Risk Assessment Model for Poultry Processing
MORE...
-
Systematic Approach to Food Safety Risk Assessment from Producers
through Retailers MORE...
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| Open
Positions:
- No position
open at present
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| Inquiries:
For further
inquiries please feel free to contact me at:
Dr. Yanbin Li, Professor
Biological and Agricultural Engineering Department
University of Arkansas
230 Engineering Hall
Fayetteville, Arkansas 72701
Phone: (479) 575-2881, Fax: (479) 575-2846
E-mail: yanbinli@uark.edu
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