scholarly journals Continuous Monitoring of Shelf Lives of Materials by Application of Data Loggers with Implemented Kinetic Parameters

Molecules ◽  
2019 ◽  
Vol 24 (12) ◽  
pp. 2217 ◽  
Author(s):  
Bertrand Roduit ◽  
Charles Albert Luyet ◽  
Marco Hartmann ◽  
Patrick Folly ◽  
Alexandre Sarbach ◽  
...  
Keyword(s):  
Shelf Life ◽  
Kinetic Parameters ◽  
Energetic Materials ◽  
Kinetic Temperature ◽  
Order Kinetic ◽  
Perishable Goods ◽  
Data Loggers ◽  
Temperature Ranges ◽  
Comparison Of The Results ◽  
Climate Fluctuation

The evaluation of the shelf life of, for example, food, pharmaceutical materials, polymers, and energetic materials at room or daily climate fluctuation temperatures requires kinetic analysis in temperature ranges which are as similar as possible to those at which the products will be stored or transported in. A comparison of the results of the evaluation of the shelf life of a propellant and a vaccine calculated by advanced kinetics and simplified 0th and 1st order kinetic models is presented. The obtained simulations show that the application of simplified kinetics or the commonly used mean kinetic temperature approach may result in an imprecise estimation of the shelf life. The implementation of the kinetic parameters obtained from advanced kinetic analyses into programmable data loggers allows the continuous online evaluation and display on a smartphone of the current extent of the deterioration of materials. The proposed approach is universal and can be used for any goods, any methods of shelf life determination, and any type of data loggers. Presented in this study, the continuous evaluation of the shelf life of perishable goods based on the Internet of Things (IoT) paradigm helps in the optimal storage/shipment and results in a significant decrease of waste.

Kinetic Compensation Effect of Kinetic Parameters of Thermal Explosion Test

2012 ◽  
Vol 184-185 ◽  
pp. 1408-1417
Author(s):  
Ying Hui Shao ◽  
Zi Ru Liu ◽  
Xiao Ning Ren ◽  
Shu Yun Heng ◽  
Pu Yue ◽  
...  
Keyword(s):  
Kinetic Parameters ◽  
Thermal Explosion ◽  
Energetic Materials ◽  
Compensation Effect ◽  
Energetic Material ◽  
Regression Equation ◽  
Kinetic Temperature ◽  
Single Compound ◽  
Main Component ◽  
Explosion Test

The kinetic parameters of thermal explosion tests with five-second delay for 273 energetic materials were analyzed. The compensation effect exists between the two thermal explosion kinetic parameters of these energetic materials, e.g. lnA and Eb. The kinetic parameters of these energetic materials can be expressed by a single linear regression equation for the single compound or mixture under all conditions. The slopes of the regression equation for various systems are in the range from 0.1952 to 0.2413 (mol•kJ-1). The regression equation for single compound or mixture with one type of energetic material as main component has better linearity. Therefore, their “iso-kinetic temperature” Tik is close to their thermal explosion temperature Tb and the “iso-kinetic delay period”τik is also close to the 5 seconds.

Oxidation Kinetics of Hazelnut Shelf-Life Prediction Model

2012 ◽  
Vol 200 ◽  
pp. 466-469
Author(s):  
Wen Li Dong ◽  
Xue Gong ◽  
Jing Dong ◽  
Ling Jin ◽  
Yu Xiang Wei
Keyword(s):  
Prediction Model ◽  
Shelf Life ◽  
Peroxide Value ◽  
Storage Temperature ◽  
Order Kinetic ◽  
Shelf Life Prediction ◽  
Changing Patterns ◽  
Kinetics Of ◽  
Life Prediction Model

The changing patterns of filbert peroxide value through the determination of different storage temperature conditions,research the dynamics characteristics of oxidative rancidity of filbert. By regression analysis base on the storage time and the logarithm of peroxide value,it concluded the grease oxidation reaction first-order kinetic equation of filbert.Using Arrhenius equation and Q10 model for 5 ~ 35 °C temperature within the shelf life of any temperature prediction model.

Kinetics of bioactive compounds in functional spice Jiangpo during thermal processing

2012 ◽  
Vol 8 (3) ◽  
Author(s):  
Xiaoyan Dai ◽  
Chenhuan Yu ◽  
Qiaofeng Wu
Keyword(s):  
Kinetic Parameters ◽  
Bioactive Compounds ◽  
Thermal Processing ◽  
Order Rate Constant ◽  
Heat Processing ◽  
Order Kinetic ◽  
Time Intervals ◽  
First Order ◽  
Order Kinetic Model ◽  
Kinetics Of

Abstract Jiangpo is an increasingly popular East Asian spice which is made from Mangnolia officinalis bark and ginger juice. Since it induces bioactive compounds decomposition and has influence on final flavor and fragrance, cooking is regarded as the key operation in preparation of Jiangpo. To evaluate the bioactive compounds content changes of Jiangpo during thermal processing, kinetic parameters including reaction order, rate constant, T1/2 and activation energy of bioactive markers namely honokiol, magnolol and curcumin were determined. Cooking was set at temperatures 60, 90 and 120 °C for selected time intervals. Results displayed the thermal kinetic characteristics of the three compounds. Thermal degradation of Honokiol and magnolol both followed first order kinetic model and the loss of curcumin fitted second order. A mathematical model based on the obtained kinetic parameters has also been developed to predict the degradation of honokiol, magnolol and curcumin in non-isothermal state. All the information in this paper could contribute necessary information for optimizing the existing heat processing of Jiangpo.

Estimation of real-time remaining shelf life using mean kinetic temperature

LWT ◽  
2020 ◽  
Vol 134 ◽  
pp. 109968 ◽  
Author(s):  
Jiyoung Kim ◽  
Christian Ariane Santos ◽  
Byeong-Sam Kim ◽  
Jonghoon Kim ◽  
Junemo Koo
Keyword(s):  
Shelf Life ◽  
Real Time ◽  
Kinetic Temperature

Thermal processing of sewage sludge by drying, pyrolysis, gasification and combustion

2001 ◽  
Vol 44 (10) ◽  
pp. 333-339 ◽  
Author(s):  
P. Stolarek ◽  
S. Ledakowicz
Keyword(s):  
Thermal Decomposition ◽  
Sewage Sludge ◽  
Kinetic Parameters ◽  
Thermal Processing ◽  
Combustion Process ◽  
Order Kinetic ◽  
Municipal Sludge ◽  
Pyrolysis Kinetics ◽  
Exponential Factor ◽  
First Order

Thermal processing of sewage sludge including drying, pyrolysis and gasification or combustion may be an alternative to other ways of utilising it. In this paper thermogravimetric analysis (TGA) was employed in the investigation of thermal decomposition of sewage sludge. The kinetic parameters of drying, pyrolysis and gasification or combustion of sewage sludge have been determined in an inert-gas (argon) and additionally some series of the sludge decomposition experiments have been carried out in air, in order to compare pyrolysis and combustion. The pyrolysis char has been gasified with carbon dioxide. A typical approach to the kinetics of thermal decomposition of a solid waste is to divide the volatile evolution into a few fractions (lumps), each of which is represented by a single first-order reaction. If these lumps are assumed to be non-interacting and evolved by independent parallel reactions the first-order kinetic parameters such as activation energy Ei and pre-exponential factor Ai can be determined from mathematical evaluation of TG or DTG curves. The object of our investigations was a municipal sludge from the two wastewater treatment plants (WTP) in Poland. The experiments have been carried out in the thermobalance Mettler-Toledo type TGA/SDTA851 LF, in the temperature range 30-1,000°C. Five different values of heating rate have been applied β = 2, 5, 10, 15 and 20 K/min. The values of Ei and Ai have been determined for all recognised lumps of gaseous products. The method employed has also revealed its usefulness for the determination of kinetic parameters for municipal sludge, that possess an undefined content. An alternative route to combustion of sewage sludge is its gasification, which significantly increases the gaseous product (pyrolytic gas + syngas). Besides pyrolysis kinetics, gasification or combustion process kinetics have also been determined.

Second-Order Kinetic Model for the Sorption of Cu(II) Ions in Aqueous Solutions of Zeolite NaA

2012 ◽  
Vol 560-561 ◽  
pp. 1174-1177 ◽  
Author(s):  
Dimitar Petrov Georgiev ◽  
Bogdan Iliev Bogdanov ◽  
Yancho Hristov ◽  
Irena Markovska
Keyword(s):  
Kinetic Model ◽  
Aqueous Solutions ◽  
Kinetic Parameters ◽  
Linear Equations ◽  
Linear Method ◽  
Second Order ◽  
Order Kinetic ◽  
Zeolite Naa ◽  
Order Kinetic Model ◽  
Pseudo Second Order

In this study, the sorption of Cu(II) ions in aqueous solutions of Zeolite NaA by performing batch kinetic sorption experiments. The equilibrium kinetic data were analyzed using the pseudo-second-order kinetic model. A comparison was made of the linear least-squares method and nonlinear method of the widely used pseudo-second-order kinetic model for the sorption of Cu(II) ions of Zeolite . Four pseudo-second-order kinetic linear equations are discussed. Kinetic parameters obtained from the four kinetic linear equations using the linear method differed but they were the same when using the non-linear method. Kinetic parameters obtained from four kinetic linear equations using the linear method differed. Equation type 1 pseudo-second-order kinetic model very well represented the kinetic of the adsorption Cu(II) ions by Zeolite NaA. Equation type 4 exhibited the worst fit. Present investigation showed that the non-linear method may be a better way to determine the kinetic parameters.

scholarly journals Holistic Approach to the Uncertainty in Shelf Life Prediction of Frozen Foods at Dynamic Cold Chain Conditions

Foods ◽  
2020 ◽  
Vol 9 (6) ◽  
pp. 714 ◽  
Author(s):  
Maria Giannakourou ◽  
Petros Taoukis
Keyword(s):  
Shelf Life ◽  
Kinetic Parameters ◽  
Holistic Approach ◽  
Storage Conditions ◽  
Life Assessment ◽  
Cold Chain ◽  
Stochastic Algorithm ◽  
Real Distribution ◽  
Prediction Scheme ◽  
Calculated Parameter

Systematic kinetic modeling is required to predict frozen systems behavior in cold dynamic conditions. A one-step procedure, where all data are used simultaneously in a non-linear algorithm, is implemented to estimate the kinetic parameters of both primary and secondary models. Compared to the traditional two-step methodology, more precise estimates are obtained, and the calculated parameter uncertainty can be introduced in realistic shelf life predictions, as a tool for cold chain optimization. Additionally, significant variability of the real distribution/storage conditions is recorded, and must be also incorporated in a kinetic prediction scheme. The applicability of the approach is theoretically demonstrated in an analysis of data on frozen green peas Vitamin C content, for the calculation of joint confidence intervals of kinetic parameters. A stochastic algorithm is implemented, through a double Monte Carlo scheme incorporating the temperature variability during distribution, drawn from cold chain databases. Assuming a distribution scenario of 130 days in the cold chain, 93 ± 110 days remaining shelf life was predicted compared to 180 days assumed based on the use by date. Overall, through the theoretical case study investigated, the uncertainty of models’ parameters and cold chain dynamics were incorporated into shelf life assessment, leading to more realistic predictions.

Sign in / Sign up

Export Citation Format

Share Document