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GroPIN Modelling DataBase Growth and Inactivation Predictive software |
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Laboratory
of Food Quality Control & Hygiene Department
of Food Science and Technology Agricultural
University of Athens |
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GroPIN tertiary model constitutes a standalone application,
developed in VBA (Visual Basic for Application). The software is using
Microsoft® Excel 2007-2010 as a
platform for the data introduction and processing. The Microsoft® Excel database
is supported by a servicing application which has been designed especially
for scientific and industrial use. Solver add-in software (Frontline Systems) has been
harmoniously integrated into the source code in order to provide solution for
the growth-no growth calculations. |
Developers: Dr. Antonios N. Psomas (apsomas@aua.gr) Prof. Panagiotis N. Skandamis (pskan@aua.gr;
pskan@otenet.gr) |
New software
update: 24/09/2021 |
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Design and Development of an Integrated Food
Microbial Tertiary Model An integrated
tertiary model called GroPIN is developed in-house using Visual Basic
for Applications. The application may serve as a user-friendly and highly
transparent predictive modeling data base for kinetic (growth or
inactivation) and probabilistic models. It also offers the flexibility of interactive
options in selecting the graphical and numerical simulation of models. An
unlimited number of mathematical models can be introduced into the database
via equation editor, as compared with other applications, where only a
limited number of equations are already embedded into the source code and are
not (at least not easily) updatable or expandable. The current
version of GroPIN has a total of 367 published models for the behavior
of 29 pathogens and 43 spoilage organisms, including
spoilage and mycotoxigenic fungi, bacteria and yeasts in various foods of
plant (e.g., fresh-cut salads, deli salads, berries, juices, etc.) or animal
origin (meat and meat products, dairy products). The impact on
microbial behavior of a variety of critical and commonly encountered
intrinsic (preservatives, organic acids in total or
undissociate/dissociate form, salt, aw, nitrates, etc.) and extrinsic (temperature,
CO2, pressure, anaerobic conditions) factors is accounted for by the models
registered in GroPIN up to date. The microbial responses modeled
(i.e., dependent variables) include the maximum specific growth rate, the
death rate, the lag phase duration, maximum population density, time to X-log
reduction/growth, D-values and the probability of growth. A search engine
has been established for locating and selecting the model of interest. Then
the user may select variables and assign values for each variable
though list boxes or by direct typing. The simulation of the selected
model can be displayed as Response Surface-Contour Plot, Time to x log
Response Surface-Contour Plot, growth or inactivation curve, as well as 2D
growth/no growth (probabilistic) interface with potential illustration of up
to 3 interfaces (i.e., three levels of the 3rd variable). The following model categories have been
included: (1) Probabilistic models; (2) Growth models; (3)
Inactivation-survival models, and; (4) Gamma (Cardinal) Models with
interactions (“x” term based on “y” and “j” functions, according to Augustin and Carlier.,
2000; Le Marc et al. 2002). All kinetic models, including growth or inactivation, plus gamma models
with interactions, can be simulated under both static and dynamic
conditions. The 367 registered models include 246 growth models, 46
inactivation models, 64 probability of growth models and 11
gamma models with interaction terms. The user can use the available
models as a basis for setting performance-, process- or product-criteria, as
well as to evaluate the compliance of a product with microbiological criteria
regulation. The integrated models constitute a special category which
combines selected models from a series of 26 growth models, 14
inactivation models and 32 probability of growth models
under dynamic conditions. The final graphical representation is the integral
of the selected models. Moreover, a series of computational algorithms that
rely on repeated random sampling have been applied in order to estimate the
risk in food products (Monte Carlo simulation). The spirit of
the software stems from similar initiatives, such as SymPrevius and COMBASE
modeling toolbox. The major innovative features of this software in relation
to the state-of-the art are the user-friendliness, the updatable character by
the user, the simplicity and functionality (including interactive options) of
outputs and the inclusion of all major predictive modeling classes |
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The updated version includes a novel addition on the comparison of two
different microorganism-food systems under the same conditions or even the
comparison between the different conditions of the same microorganism-food
system. The user may find information in detail into the USER’s GUIDE, which
can be downloaded from the dissemination webpage. |
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DOWNLOAD INSTRUCTIONS |
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Zip file includes: 1. GroPIN.xlsm (GroPIN software) 2. Dynamic Files Folder, including examples of files with dynamic
conditions 3. Documentation.pdf |
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