Nafiisa SOBRATEE PhD Candidate Department of Agricultural and Production Systems Faculty of Agriculture UNIVERSITY OF MAURTIUS.

Slides:



Advertisements
Similar presentations
Design of Experiments Lecture I
Advertisements

Effect of post digestion temperature on serial CSTR biogas reactors Kanokwan Boe, Dimitar Karakashev, Eric Trably and Irini Angelidaki Institute of Environment.
By: Alyssa Ruiz Mentor: Dr. Tesfa Yacob PI: Dr. Karl Linden REINVENT THE TOILET CHALLENGE: URINE TREATMENT ENVIRONMENTAL SUSTAINABILITY REU
RESULTS With increasing amounts of Novobiocin there was an obvious decrease in survival of colony forming units of bacteria (Fig. 8). Triclosan was more.
Biodegradation of organic pollutants in a composting environment in Mauritius Vijayalaxmi Jumnoodoo PhD Candidate Department of Chemical and Environmental.
Non-Chemical Alternatives to Methyl Bromide for Soil-Borne Pest Control Ricardo Labrada
Investigating Foodborne Disease Outbreaks: The CDC Perspective Ian Williams, PhD, MS Chief, Outbreak Response and Prevention Branch Division of Foodborne,
Serial dilution and colony counting ● Serial dilution and colony counting – Also know as “viable cell counts” – Concentrated samples are diluted by serial.
OPTIMAL PRESENT RESOURCE EXTRACTION UNDER THE INFLUENCE OF FUTURE RISK Professor Dr Peter Lohmander SLU, Sweden,
Program Evaluation Spero Manson PhD
A Simulation Model for Predicting the Potential Growth of Salmonella as a Function of Time, Temperature and Type of Chicken Thomas P. Oscar, Agricultural.
Microbiological Considerations Related to Poultry Products For the FSIS “How to” Workshops Spring 2009 Presented by Dr. Patricia Curtis and Ms. Jessica.
Increasing biogas production by thermal (70◦C) sludge pre- treatment prior to thermophilic anaerobic digestion Presented by Reem Satti.
APPLICATION OF MICROTESTER FOR DETECTION OF LOW MICROBIAL CONTAMINATION Oliver Reichart Katalin Szakmár.
Fitness Problems in Escherichia coli K-12 Transformed with a High Copy Plasmid Encoding the Green Fluorescent Protein Thomas P. Oscar a, Kalpana Dulal.
AUDIT PROCEDURES. Commonly used Audit Procedures Analytical Procedures Analytical Procedures Basic Audit Approaches - Basic Audit Approaches - System.
Customer Satisfaction, Retention, and Loyalty
Experimental Data. The Nature of data b Data is the outcome of observation and measurement b Data may be acquired ê In the field ê By experiment.
BIOCYANIDE DEMONSTRATION PROJECT Activity III ; Project 5.
Titles Good and Bad Titles. Below you will find an abstract from one of the Bio3B projects. Which of the following title would be most appropriate for.
Microbial Growth Microbiology. Microbial Growth 0 In microbiology growth is defined as an increase in the number of cells. 0 Knowledge of how microbial.
AP Bio Lab 8: Transformation We will start on TUESDAY!
Motive Konza: understanding disease, since there is no apparent reason to manage native pathogens of native plants Also have background information in.
Use of by-products as system innovation: GeNeSys Closing cycles through composting Viaene J., Reubens B., Vandecasteele B., Willekens.
Microbial growth: chapter 6
Managing Contamination Through Chain to Improve Public Health Outcomes Birds, Bacteria & Baselines.
4/23/2017 HYPOTHESIS Moazzam Ali.
Experimental Design making causal inferences Richard Lambert, Ph.D.
Course on Data Analysis and Interpretation P Presented by B. Unmar Sponsored by GGSU PART 2 Date: 5 July
Microbial Growth Binary Fission Growth Rate Generation Time E. coli can double every 20 minutes Many Bacteria have hr Generation Times.
United States Department of Agriculture Food Safety and Inspection Service Salmonella Initiative Program Isabel Arrington, PhD, DVM Sci. Advisor, RIMD.
Canada’s Ocean Strategy. The Oceans Act In 1997, Canada entrenched its commitment to our oceans by adopting the Oceans Act. In 1997, Canada entrenched.
Antibacterial Inhibition of Common Cooking Spices Against Escherichia coli Mariah Weir Department of Biological Sciences, York College of Pennsylvania.
RLO Title Importance of Integrated Nutrient Management (INM) NextEnd Previous.
S14: Analytical Review and Audit Approaches. Session Objectives To define analytical review To define analytical review To explain commonly used analytical.
1 Market Optimization Phase VI May 2012 i = 1, …, M customers j = 1, …, N offers A = (a ij ) is a matrix where a ij = 1, if offer j is to be targeted to.
Composting Practices and Pathogen Reduction Joan Jeffrey, Extension Veterinarian University of California School of Veterinary Medicine VMTRC---TULARE,
Module 3 Risk Analysis and its Components. Risk Analysis ● WTO SPS agreement puts emphasis on sound science ● Risk analysis = integrated mechanism to.
BIO aerosols Workers’ exposure to bioaerosols from three different types of composting facilities Hamza Mbareche, L. Bonifait, M. Veillette, M.E. Dubuis,
A Stochastic Model of Paratuberculosis Infection In Scottish Dairy Cattle I.J.McKendrick 1, J.C.Wood 1, M.R.Hutchings 2, A.Greig 2 1. Biomathematics &
Pathogen Reduction Dialogue Panel 3 Microbial Testing for Control Verification Robert L. Buchanan U.S. Food and Drug Administration Center for Food Safety.
Research Session 3: Case studies in Living Lab application domains The 4 th ENoLL Living Lab Summer School 27 th -30 August 2013 Manchester School of Arts.
Karen Jarratt-Snider, Ph.D. Assistant Professor Department of Applied Indigneous Studies Northern Arizona University © 2011.
Institute for Biodiversity and Ecosystem Dynamics Universiteit van Amsterdam Does microbial adaptation through long term exposure leads to biodegradation.
* Each student must produce an individual investigation, which should address a purposeful research question and incorporate a scientific rationale *
ANSES’s opinion on microbiological safety and hygiene of pork carcasses refrigerated in chilling rooms and then transported in refrigerated trucks Laurent.
Growth Kinetics of Parent and Green Fluorescent Protein-Producing Strains of Salmonella Thomas P. Oscar, Agricultural Research Service, USDA, 1124 Trigg.
Analytical Review and Audit Approaches
United States Department of Agriculture Food Safety and Inspection Service 1 Across Establishment Ranking Concept For Processing and Slaughter February.
Dr Rita Oladele Dept of Med Micro &Para CMUL/LUTH
Single and Multiple Substrate Kinetics A culture grown in a simple medium including 0.3% wt/vol of glucose; at time t=0 , it is inoculated into.
PROCESS OPTIMIZATION OF BIOETHANOL PRODUCTION FROM PEELS OF CASSAVA CULTIVARS USING DIFFERENT MICROBIAL INNOCULANTS. by Uyoh Edak Aniedi 1, Obianwa Chibuzor.
Bacterial growth The mathematics of bacterial growth is fairly simple, since each original cell divides to form two new cells, with the loss of the original.
Information Propagation In Populations by Conjugation Justyn Jaworski.
FST 305 GENERAL MICROBIOLOGY By Prof. Olusola Oyewole And Dr. Olusegun Obadina.
Sensitivity Analysis for the Purposes of Parameter Identification of a S. cerevisiae Fed-batch Cultivation Sensitivity Analysis for the Purposes of Parameter.
Heat waves in Budapest A Páldy *, J Bobvos **, A Vámos ** * - “Fodor József” National Center for Public Health, National Institute of Environmental.
System Dynamics Modeling of Community Sustainability in NetLogo Thomas Bettge TJHSST Computer Systems Lab Senior Research Project
Microbial Kinetics and Substrate utilization in Fermentation
ANTI-MICROBIAL USAGE IN THE COMMUNITY AND RESISTANCE IN E.COLI
JMP Discovery Summit 2016 Janet Alvarado
Required Practical 6 – Using Aseptic Technique
Microbial Growth Binary Fission Growth Rate Generation Time
Fungal and Bacterial Dynamics in the Lettuce Rhizosphere Responding to Successive Additions of Cd and Zn. A. M. I. D. Amarakoon * and R. M. C. P. Rajapaksha.
Implicit factors.
Food industrial processing wastes applications in
MICROBIAL GROWTH CURVE
Understanding Standards Event Higher Statistics Award
Pollution from Diesel Generators – Gurugram
Presentation transcript:

Nafiisa SOBRATEE PhD Candidate Department of Agricultural and Production Systems Faculty of Agriculture UNIVERSITY OF MAURTIUS

 Background  Methodology  Results  Model justification  Discussion  Conclusion Research Week 20102

 Compost sanitisation research dates back to several decades  But issues associated with compost quality and hygiene continue to be relevant as more waste will have to be recycled for sustainability reasons.  The present work has been an attempt to respond to the quest to improve the state of knowledge, regarding the type of waste management to be adopted in the poultry farming industry.  Aim: This study investigates differences in bacterial growth response in broth amended with compost- substrate extracts periodically bypassed during broiler litter composting to mimic a contamination scenario Research Week 20103

1. Compost samples, suspended in diluent were mixed with 2X broth. Ampicillin selective (0.3 g l -1 ) E. coli and E. faecalis were separately seeded. Growth was measured by viable cell count. 2. Microfit © application generated information of direct microbiological interest: increasing λ and decreasing µ max for both bacteria with time. 3. TableCurve 3D v software to obtain a unifying model to identify regrowth possibilities of the seeded enteric bacteria Research Week 20104

5

 As a means to integrate the findings of this research, an attempt was made to unify three parameters of interest to poultry litter composting in a mathematical relationship, namely: ◦ explanatory variables:  time of composting (to which the temperature prevailing in the windrows is associated)  the decomposition rate, k calculated from the mathematical expression of Nielsen and Berthlsen (2002) based on heat driven decomposition ◦ response variable = µ max, of inoculated enteric bacteria (E. coli and E. faecalis) in submerged culture with compost extracts of different maturity Research Week 20106

Post thermophilic high mumax 7

 The experiment has benchmarked the role of the temporally-different compost extracts, representing increasingly non-host environments, in suppressing the growth of seeded E. coli and E. faecalis.  The most salient outcome pertains to: ◦ the increase in lag time (E. coli: 1.78 h, E. faecalis: 1.28 h) ◦ decreasing maximum specific growth rate, µ max, (E. coli: 0.95 h -1 h, E. faecalis: 0.69 h -1 ) for both bacteria  in the matured compost extract = Week 15 Research Week 20108

 R 2 = [1]  R 2 = 0.831[2]  where, ◦ µ max = maximum specific growth rate (h -1 ) ◦ t = time of composting (days) ◦ k = decomposition rate (mg O 2 g -1 VS) h -1 Research Week 2010 [Eq 1] [Eq 2] 9

Research Week 2010 Regrowth potential present 10

Research Week 2010 Regrowth potential present 11

 By using simplifying idealisations as a compromise between the complexity of the biological system and the available data, a practically usable mathematical relationship becomes available.  The use of fourth or even higher order polynomials to represent the environment-dependence of kinetic parameters may not necessarily upgrade a model (Baranyi and Roberts, 1995).  Hence, in the present context, third order polynomial functions have been fitted even though the R 2 statistic values< 0.9. Research Week

 The most salient feature demonstrated by both E. coli and E. faecalis is their propensity to have an increased µ max in the broths corresponding to: ◦ Day 49 week 7(µ max = 1.66 h -1 ) ◦ Day 35 week 5((µ max = 0.92 h -1 ) respectively  This occurred when temperatures <55 o C were recorded in all windrows after the post- thermophilic phase  the post-thermophilic environment permits a boosted growth of both seeded enteric bacteria preceded by decreasing µ max till Day 105. Research Week

 In E. coli, the decomposition rates of days 14, 22 & 49 are very similar (1.014, 1.012, mg O 2 g -1 VS h -1 respectively), yet the µ max value (1.66 hr -1 ) for Day 49 is highest of the three.  Therefore, decomposition rate (and by extension the temperature) seem not to be responsible for this increased rate of growth.  Plausible incriminating factor that can be attributable to this effect = the ecology of the compost immediately after the thermophilic phase  as a vacuum because of the subsiding thermophilic ecology and the nascent stage of the 2 nd mesophilic microflora.  Due to this vacuum, the seeded E. coli is able to thrive better, hence the increased µ max value for Day 49. Research Week

 By using, the maximum specific growth rate (µ max ), a kinetic parameters of bacterial multiplication rate under submerged culture,  deduce = the indigenous microbial community developed during composting is responsible for enteric microflora deactivation.  This research has grown out of previous works to the extent that it has identified, by means of mathematical functions, the susceptibly weak points during the composting process where the newly stabilised material may be prone to regrowth especially when the composting ecosystem has not yet established its post-thermophilic microflora.  Thus, a week-7 compost extract had the highest post- thermophilic µ max value (1.66 h -1 ), indicating a higher risk for upsurge for this time of composting in the event of short- circuiting and/or contamination. Research Week

 The combined results of this work suggest that the success of composting lies in its being : ◦ optimally and thermodynamically triggered to initiate the process ◦ maintain a thermophilic ceiling ◦ and managed (turning) such that all feedstock is exposed to the hygienisation regime to prevent  incomplete stabilisation  short-circuiting  regrowth of pathogens, especially at the onset of the 2 nd mesophilic phase Research Week