Kinetic Growth Model Research Articles

Improved performance in γ-polyglutamic acid production by Bacillus subtilis LX on industrial scale by impeller retrofitting and its unstructured microbial growth kinetics model

We conducted industrial scale γ-polyglutamic acid (γ-PGA) production by Bacillus subtilis (B. subtilis) LX and modeled its microbial growth kinetics based on a logistic regression. We found that the use of a three-layer impeller including a lower semicircular disc impeller and two-layers of six-wide-leaf impellers were able to both increase γ-PGA yields and decrease fermentation time as compared with two-layer Rushton impellers. Indeed, our results revealed that the optimal γ-PGA yield (20.67 ± 2.19 g/L) was obtained after 40 hr in the impeller retrofitted fermenter, and this yield was 29.7% higher than that in Rushton impellers fixed fermenter. The microbial growth kinetics of B. subtilis LX in this system were established, and the model was consistent with the experimental data (R2 = 0.924) suggesting that it was suitable for describing the microbial growth kinetics underlying γ-PGA production on an industrial scale. In addition, biomass yield (Yx/s-glucose), γ-PGA yield (Yp/s-glucose), γ-PGA yield (Yp/s-glutamate), and the correlation between γ-PGA production and B. subtilis LX (Yp/x) were found to be 0.043, 0.133, 0.743, and 3.090 g/g, respectively, in the impeller retrofitted fermenter, as compared with 0.036, 0.103, 0.629, and 2.819 g/g, respectively, in the two-layer Rushton impeller fermenter.

Effect of dissolved oxygen concentration on microalgal culture in photobioreactors

High concentrations of dissolved oxygen can inhibit the growth of photosynthetic microorganisms in microalgal culture systems. Not taking into account this parameter can also affect the reliability of mathematical models predicting biomass productivity. This study investigates the impact of high dissolved oxygen concentrations (CO₂) on biomass productivity. The eukaryotic microalgae Chlorella vulgaris was cultivated in a torus-shaped photobioreactor in chemostat mode at constant light and for different CO₂. Results showed a loss of biomass productivity at CO₂ ≥ 31 g·m−3. By recalculating the specific rate of cofactor regeneration on the respiratory chain (JNADH2), the kinetic growth model was able to predict the impact of CO₂. This improved model was then used to explain the discrepancy in performances between two photobioreactor geometries, highlighting the utility of regulating gas-liquid mass transfer via aeration for better optimization of photobioreactor performances.

Quantitative phase field modeling of solute trapping and continuous growth kinetics in quasi-rapid solidification

Solute trapping is an important phenomenon in rapid solidification of alloys, for which the continuous growth model (CGM) of Aziz et al. [1] is a popular sharp interface theory. By modulating the so-called anti-trapping current and using asymptotic analysis, we show how to quantitatively map the thin interface behavior of an ideal dilute binary alloy phase field model onto the CGM kinetics. We present the parametrizations that allow our phase field model to map onto the sharp interface kinetics of the CGM, both in terms of partition coefficient k(V) and kinetic undercooling. We also show that the mapping is convergent for different interface widths, both in transient and steady state simulations. Finally we present the effect that solute trapping can have on cellular growth in directional solidification. The presented treatment for solute trapping can be easily implemented in different phase field models, and is expected to be an important feature in future studies of quantitative phase field modeling in quasi-rapid solidification regimes, such as those relevant to metal additive manufacturing.

Modelling of growth kinetics of isolated Pseudomonas sp. and optimisation of parameters for enhancement of xanthine oxidoreductase production by statistical design of experiments

This report presents the substrate inhibitory effect of xanthine (XN) on microbial growth and optimisation of effective parameters to achieve high enzyme activity of xanthine oxidoreductase (XOR) through statistical design. Three efficient isolated strains (Pseudomonas aeruginosa CEBP1 and CEBP2, Pseudomonas sp. CEB1G) were screened for growth kinetic studies. Substrate inhibitory models (eg. Aiba, Edward) could explain the growth kinetics of CEBP1, CEBP2 and CEB1G very well with various initial [XN] (S0), e.g., 0.1–35 g L−1. Highest XOR activity was obtained at stationary phase when biomass yield was high. Highest catalytic efficiency (kcat/KM) of XOR was obtained by CEBP1 at optimum specific growth rate of 0.082 h−1 and biomass yield of 0.196 g g−1 at S0 = 5 g L−1. The effects of S0, pH and temperature were studied by Box-Behnken experimental design to evaluate the interactive effects of the significant variables influencing XOR production by CEBP1. ANOVA with high correlation coefficient (R2 > 0.99) and lower ‘Prob > F’value (< 0.05) validated the second order polynomial model for the enzyme production. The highest XOR activity of 31.2 KU min−1 mg−1 was achieved by CEBP1 under optimised conditions (35 °C; S0=5 g L−1; pH = 7.0) as compared to any report in literature. A sevenfold substrate affinity of the enzyme was observed after purification.

Kinetic growth model for hairy root cultures.

The growth of hairy root cultures in bioreactors yields a complex root network and limits nutrient availability to the inner core of the root bed. A kinetic growth model to explain the growth in terms of length of individual primary and their higher order branches has been developed. The external transport of nutrient modeled based on mass transfer rate of limiting nutrient across root surface and internal transport of nutrient modeled based on flow of nutrient from primary to secondary roots. The growth reaction constant during elongation phase, which is function of limiting nutrient concentration found to be in the range of 0.1 to 0.4 d⁻¹ for various species through fitting. The model equations are well fitted with the experimental data with minimum root mean square error for the ratio of radius of primary to secondary root is 1.5, the nutrient to biomass ratio in the range 1.5 to 4.0 and the inter node distance is the range of 0.2 to 0.5 cm. Higher growth coefficients, smaller inter node distances yields large number of tips and higher growth of primary and secondary roots. Higher growth coefficient can be achieved by manipulating nutrient medium concentration and cells reach branching age faster which alters the inter-node distance and branching rate. This model will be a crucial input to estimate packing fraction and local concentration profile in the growing hairy root bed in bioreactors.

Modeling of grain growth kinetics in complexly alloyed austenite

Modeling of grain growth kinetics in complexly alloyed austenite

Size Control at Maximum Yield and Growth Kinetics of Colloidal II–VI Semiconductor Nanocrystals

We investigated the growth kinetics of CdSe nanocrystals for a hot-injection colloidal synthesis, as a function of selected key process parameters. In this investigation, the synthesis consisted in the injection of trioctylphosphine-selenium into cadmium oleate, followed by nucleation and growth stages. The evolution of size and size distribution of the nanocrystals was monitored during the synthesis via UV–visible absorption and photoluminescence spectroscopy. Three growth parameters have been extracted from the experimental data through a general kinetic growth model, and discussed: the initial particle size, the growth rate, and the particle size at the end of the growth. A modification of the classical nucleation theory has been developed to explain and predict the equilibrium (final) size of the nanoparticles, by taking into consideration the consumption of monomers during crystal formation and growth. The model accurately predicts the trends of the crystal size as a function of the oleic acid concen...

Exploring the survival tactics and plant growth promising traits of root-associated bacterial strains under Cd and Pb stress: A modelling based approach

The study represents a microbial method for reducing heavy metal stress in terrestrial environment. Two rhizobacterial strains Pantoea agglomerance (PC1) and Pseudomonas aeruginosa (SA) having the ability to tolerate Cd2+ and Pb2+ ions stress, were employed in this study. The growth promotion and survival tactics of the strains under metal stress were explored through kinetic growth model using logistic equation, Luedeking-Piret model and Box Behnken design. Study also involves the interaction of strains with Zea mays L. under Cd2+ and Pb2+ ions stress. Results revealed that both strains have the potential to tolerate 500 mg L−1 of Cd2+ and Pb2+, ions and maintained the plant growth promoting traits. The Luedeking-Piret model estimated the maximum value of IAA on biomass growth (YP/X) 5.377 μg g−1 and 10.3 μg g−1 under Cd2+ ions, while 7.742 μg g−1 and 18.071 μg g−1 under Pb2+ ions stress for strains SA and PC1, respectively. Further, phosphate solubilization activity was optimized with the help of response surface methodology using Box Behnken Design. The optimum solubilization by strain PC1 and SA was achieved at 100 and 150 mg L−1 of Cd2+, and 150 and 200 mg L−1 of Pb2+ ion concentration at the pH range 6.75 and 7.5 respectively. The interactive study with Zea mays L. showed significant increase in seed germination in the presence of Cd2+ and Pb2+ ions thereby proving them as potent plant growth promoters and metal stress reducing biological agents. Hence, the findings of the study suggest that rhizobacterial strains could be a sustainable tool for restoration of metal contaminated sites.

Chlorella vulgaris logistic growth kinetics model in high concentrations of aqueous ammonia

ABSTRACT: The ability of microalgae to utilize CO2 during photosynthesis and grow rapidly shows their potential in CO2 bio-fixation to capture and store the gas. However, CO2 capture by this biological approach is very slow compared to chemical reaction-based processes such as absorption using amine or aqueous ammonia. Integration between chemical (aqueous ammonia) and biological (microalgae) aspects might enhance the capturing process and at the same time the microalgae can assimilate CO2 for beneficial bioproduct formation. Thus, it is important to assess the growth of the microalgae in various concentrations of ammonia with CO2 supply. Hence, the main objective of this study is to investigate Chlorella vulgaris growth and its kinetics in aqueous ammonia. To achieve that, C. vulgaris was cultivated in various concentrations of aqueous ammonia between 0 to 1920 mg/L at room temperature (i.e. 27 °C) and supplied with 15% (v/v) of CO2 under illumination of 3500 lux of white fluorescent light. Result shows that the maximum growth capacity (Xmax) of C. vulgaris is deteriorating from 1.820 Au to 0.245 Au as the concentration of aqueous ammonia increased. However, no significant change in maximum specific growth rate (µmax) was observed. The growth data was then fitted into the logistic growth model. The model coefficient of determination (R2) is decreasing, which suggests modification of the model is required.&#x0D; ABSTRAK: Keupayaan alga-mikro untuk menggunakan CO2 semasa proses fotosintesis dan pembiakannya yang pesat menunjukkan potensi dalam penggunaan dan penyimpanan gas ketetapan-biologi. Walau bagaimanapun, penggunaan CO2 melalui cara ini adalah sangat perlahan berbanding proses tindak balas kimia melalui penyerapan amina ataupun cecair ammonia. Percampuran antara tindak balas kimia (cecair ammonia) dan tindak balas biologi, memungkinkan penambahan proses percampuran dan pada masa sama alga-mikro akan menyerap CO2 bagi kepentingan pembentukan hasil biologi. Dengan itu, adalah sangat penting untuk mengawasi pertumbuhan alga-mikro dalam pelbagai ketumpatan ammonia bersama kandungan CO2. Oleh itu, objektif utama penyelidikan ini adalah untuk menyiasat pertumbuhan Chlorella vulgaris dan proses kinetik dalam cecair ammonia. Bagi memperoleh hasil tersebut, C. vulgaris telah dikulturkan pada ketumpatan cecair berbeza antara 0 ke 1920 mg/L pada suhu bilik (iaitu 27 °C) dan dibekalkan dengan 15% (v/v) CO2 di bawah cahaya putih flurosen 3500 lux. Keputusan menunjukkan kapasiti pertumbuhan terbanyak (Xmax) C. vulgaris telah berkurang daripada 1.820 Au kepada 0.245 Au apabila ketumpatan cecair ammonia dikurangkan. Walau bagaimanapun, tiada perubahan ketara pada kadar pertumbuhan (µmax) dapat dilihat. Data kadar pertumbuhan kemudiannya dikemas kini pada model pertumbuhan logistik. Model pekali penentu (R2) telah direndahkan di mana cadangan untuk mengubah model adalah diperlukan.

The influence of deposition parameters on the stress evolution of sputter deposited copper

The growth rate and pressure dependence on the intrinsic stress in sputter deposited Cu thin films has been investigated and compared to a kinetic growth model, which contains both growth and energetic contributions to stress in its description. Since microstructure also has a strong effect on intrinsic growth stress, we have been able to systematically control a fixed grain size over multiple growth conditions spanning 0.012 nm/s to 2.4 nm/s deposition rates and 0.267 Pa to 2.667 Pa pressures using a seed layer prior to film deposition. At high deposition pressures, the stress became more tensile as the growth rate increased. In the low deposition pressure regime, the stress became more tensile with increases in deposition rate until a critical cross-over point where upon further increases in deposition rate resulted in the stress becoming more compressive. This cross-over has been explained in terms of the energetic contributions to the stress and the intrinsic high mobility of Cu to reveal this behavior. The fitting parameters and corresponding stress contributions from the kinetic model were extracted and compared to other films and deposition techniques. Though caution should be used in comparing absolute values, the kinetic model revealed the correct trends in predicting energetic trapping of defects between low and high mobility films as well as similar growth stress values, which are independent of energetic contributions, between sputtering and electrodeposition. These results suggest that the kinetic model shows promise in fitting different materials and deposition techniques intrinsic stress behavior.

A multi-scale approach for percolation transition and its application to cement setting

Shortly after mixing cement grains with water, a cementitious fluid paste is formed that immediately transforms into a solid form by a phenomenon known as setting. Setting actually corresponds to the percolation of emergent network structures consisting of dissolving cement grains glued together by nanoscale hydration products, mainly calcium-silicate-hydrates. As happens in many percolation phenomena problems, the theoretical identification of the percolation threshold (i.e. the cement setting) is still challenging, since the length scale where percolation becomes apparent (typically the length of the cement grains, microns) is many times larger than the nanoscale hydrates forming the growing spanning network. Up to now, the long-lasting gap of knowledge on the establishment of a seamless handshake between both scales has been an unsurmountable obstacle for the development of a predictive theory of setting. Herein we present a true multi-scale model which concurrently provides information at the scale of cement grains (microns) and at the scale of the nano-hydrates that emerge during cement hydration. A key feature of the model is the recognition of cement setting as an off-lattice bond percolation process between cement grains. Inasmuch as this is so, the macroscopic probability of forming bonds between cement grains can be statistically analysed in smaller local observation windows containing fewer cement grains, where the nucleation and growth of the nano-hydrates can be explicitly described using a kinetic Monte Carlo Nucleation and Growth model. The most striking result of the model is the finding that only a few links (~12%) between cement grains are needed to reach setting. This directly unveils the importance of explicitly including nano-texture on the description of setting and explains why so low amount of nano-hydrates is needed for forming a spanning network. From the simulations, it becomes evident that this low amount is least affected by processing variables like the water-to-cement ratio and the presence of large quantities of nonreactive fillers. These counter-intuitive predictions were verified by ex-professo experiments that we have carried out to check the validity of our model.

A Thermomechanical Framework for Analysis of Microstructural Evolution: Application to Olivine Rocks at High Temperature

AbstractMicrostructural evolution governs transient creep processes in the Earth at high temperature, on time scales from seconds to millions of years. Many experimental constraints and empirical models have been developed for discrete pieces of this problem, including flow laws and kinetic models for grain growth and dislocation recovery. We incorporate these models into a thermodynamic framework to develop a constitutive model for transient creep. The framework employed here is a branch of nonlinear thermodynamics of irreversible processes called the generalized standard materials formalism developed in solid mechanics over the last 40 years but minimally applied to geophysical problems. The generalized standard materials formalism is designed to incorporate a broad range of nonlinearity and coupling in the constitutive equations. To describe dynamic recrystallization, the model is constructed such that information propagates upward in length scale: [dislocation density subgrain size grain size], with each property evolving more slowly than the one below. We demonstrate that (1) the grain size‐stress piezometer may contain temperature dependence below a threshold in stress, (2) the microstructural evolution is strongly temperature dependent and thus dependent on thermal boundary conditions, and (3) the fraction of mechanical work done to the system that is diverted to changing the microstructure is not a constant but is at least a function of stress, temperature, dislocation density, and grain size. This kind of thermodynamically constrained analysis can be applied to torsional deformation experiments to extract further constraints on the subprocesses of microstructural evolution and transient creep.

Gilding with Graphene: Rapid Chemical Vapor Deposition Synthesis of Graphene on Thin Metal Leaves

AbstractGilding is the ancient process of coating intricate artifacts with precious metals. Fascinating Egyptian and Chinese sculptures, coated with &lt;200 nm thin metal films by this process, have resisted corrosion, wear, and other environmental degradations for thousands of years. Here, 150 nm thin palladium leaves are enriched by doped with a single layer of graphene. Commercially available Pd leaves are uniquely suited for graphene synthesis by a highly dynamic chemical vapor deposition process. The Pd leaves made by high strain rate beating are stable at high synthesis temperature, resisting solid‐state dewetting owing to their extremely low grain triple junctions density (0.017 µm−1). Mathematical models of growth kinetics guide the development of extremely rapid synthesis conditions, resulting in the formation of high‐quality graphene on Pd in less than a minute, owing to the graphene grains growing twice as fast as copper‐catalyzed growth. The graphene monolayer on the leaf increases the effective surface modulus by 59% to 236 GPa. Uniaxial strain testing with Raman spectroscopy reveals the excellent crystallinity of graphene by probing the stress‐induced phonon shifts. This new material could open exciting opportunities in utilizing high‐quality 2D materials to coat large structures.

Kinetics of Vinyl Acetate Biodegradation by Pseudomonas fluorescens PCM 2123

Abstract The microbial degradation of vinyl acetate (VA) by Pseudomonas fluorescens PCM 2123 strain was studied in both batch and continuous modes. The purpose of the experiments was to determine the kinetic model of the cell growth and biodegradation rate of vinyl acetate (VA), which was the sole carbon and energy source for tested microorganisms. The experiments, carried out in a batch reactor for several initial concentrations of growth substrate in the liquid phase ranging from 18.6 to 373 gsubstrate·m−3 (gs·m−3) made it possible to choose the kinetic model and to estimate its constants. The Haldane inhibitory model with the values of constants: μm = 0.1202 h−1, KS = 17.195 gs·m−3, Ki = 166.88 gs·m−3 predicted the experimental data with the best accuracy. To set the parameters of maintenance metabolism it was necessary to carry out a series of continuous cultures at different dilution rates (0.05 to 0.072 h−1) and concentrations of VA in the liquid supplied to the chemostat ranging from 30.9 to 123.6 gs·m−3. The obtained data-base enabled to determine the coefficient for maintenance metabolism (me = 0.0251 gsubstrate gcell dry weight −1·h−1 (gs·gcdw −1·h−1)) as well as the maximal and observed values of yield coefficients, Yxs M = 0.463 gcdw·gs −1 and (Yxs ) obs = 0.411 gcdw·gs −1, respectively. The developed kinetics was verified by comparison of the computed and obtained in batch experiments profiles of changes in biomass and growth substrate concentrations.

Modeling of eutectic growth kinetics with thermodynamic couplings

An original model of directional eutectic growth for lamellar eutectics is presented. This model is based on the analysis of thermodynamic equilibrium at the solidification front. Contrary to previous ones, this model does not use linearization hypothesis on the alloy phase diagram and takes into account variations of densities between phases. Moreover, curvature effects are considered on thermodynamic equilibrium at the solidification front. Its numerical implementation is made possible through a coupling with thermodynamic software based on the CALPHAD approach. This new numerical model is applied to the Al-Al2Cu eutectic structure and compared to the Jackson-Hunt theory. Large differences between results of the present model and this theory are observed at high growth rate. In particular, curvature effects on phases concentrations can no more be modeled using a linear approximation, as in the Gibbs-Thomson relation. A good agreement of the numerical model with reported experimental studies is observed for a large range of growth velocities.

Effect of oxygen transfer on yeast growth — Growth kinetic and reactor model to estimate scale-up effects in bioreactors

Large scale fermentations face challenges in mixing and mass transfer as well as in the design and construction of the equipment. Scale-up from laboratory and pilot scale experiments is difficult because different phenomena – such as mixing times and mass transfer conditions – scale in a different way.We study the effect of mass transfer, reactor type and scale on the growth of Pichia pastoris yeast. Batch cultivation experiments monitoring the cell growth and ethanol formation are conducted in laboratory scale in two reactor types — stirred tank and an Outotec OKTOP®9000 draft tube reactor. Model for the yeast growth – including respirative and fermentative metabolism and the effect of dissolved oxygen – is formed based on literature. For scale-up studies, the growth model is used along with one dimensional reactor model that accounts for liquid mixing, gas phase dynamics and local gas hold-up and mass transfer coefficient.By using a realistic growth model along with the reactor model, the simulated effects of scale-up are presented in terms of cell yield. A decrease in yield is noticed due to oxygen depletion in gas and insufficient liquid mixing. Potential improvements are related to the gas handling capacity and liquid mixing of the reactor.

New Simulator for Gas–Hydrate Slurry Stratified Flow Based on the Hydrate Kinetic Growth Model

A new simulator for gas–hydrate slurry stratified flow is presented, which can simulate the flow characteristics, including gas/liquid velocity, liquid holdup, and pressure drop. The simulator includes an inward and outward hydrate growth shell model and two-phase flow hydrodynamic model. The hydrate growth model systematically considers the kinetics and limitations of hydrate formation, namely, the mass– and heat–transfer. The two-phase flow hydrodynamic model is composed of mass and momentum equations for each phase as well as energy balance equations considering the heat generation related to hydrate formation. Thereafter, an inclined pipeline case is simulated using the simulator. The results demonstrate that, once the kinetic requirements for hydrate crystallization are satisfied, hydrates form rapidly during the initial stage and the hydrate formation rate then decreases owing to the limitation of the mass– and heat–transfer. Meanwhile, the hydrate states (formation onset time, formation rate, and volume fraction) as well as flow characteristics of a multiphase system are obtained, providing acceptable results for engineers in the field. Sensitivity analyses of the key hydrate growth shell model parameters are implemented, and the results indicate that the influences of diffusivity and initial water droplet size on the hydrate formation rate are greater than the of the porous parameter.

Continuous Succinic Acid Fermentation by Actinobacillus Succinogenes: Assessment of Growth and Succinic Acid Production Kinetics.

Succinic acid is one of the most interesting platform chemicals that can be produced in a biorefinery approach. The paper reports the characterization of the growth kinetics of Actinobacillus succinogenes DSM 22257 using glucose as carbon source. Tests were carried out in a continuous bioreactor operated under controlled pH. Under steady-state conditions, the conversion process was characterized in terms of concentration of glucose, cells, acids, and pH. The effects of acid-succinic, acetic, and formic-concentration in the medium on fermentation performance were investigated. The fermentation was interpreted according to several models characterized by substrate and product inhibition. The selected kinetic model of biomass growth and of metabolite production described the microorganism growth rate under a broad interval of operating conditions. Under the investigated operating conditions, results pointed out that: no substrate inhibition was observed; acetic acid did not inhibit the cell growth and succinic acid production.

Mathematical modeling and simulation of a two-phase fluidized-bed bioreactor with an external aerator.

The article presents a mathematical model and steady-state characteristics of a continuous-flow two-phase fluidized-bed bioreactor with external aeration. The quantitative description includes biofilm growth on inert carriers, distributions of density, and diffusion coefficients in biofilm, decay of microorganisms, gas-liquid and liquid-biofilm mass transfer, biofilm detachment, biomass thickening and recirculation. The method for the determination of steady-states and the assessment of stability based on the orthogonal collocation method was presented. The effect of key parameters on steady-state properties of the bioreactor was analyzed. These parameters are: carbonaceous substrate concentration in the feed stream, mean residence time of the liquid and the liquid recirculation ratio. It was shown, that stream recirculation improves aeration of the liquid phase and the degree of conversion of a carbonaceous substrate. The effect of a growth kinetic model on the steady-state multiplicity was proved and discussed. The applicability of the bioreactor was assessed for aerobic processes characterized by a varied oxygen requirement, expressed by the growth yield coefficient wBT . © 2018 American Institute of Chemical Engineers Biotechnol. Prog., 2018 © 2018 American Institute of Chemical Engineers Biotechnol. Prog., 34:1109-1119, 2018.

Shelf‐life prediction of strawberry at different temperatures during storage using kinetic analysis and model development

Postharvest strawberry was stored at 4°C, 15°C, 25°C, and 35°C to study the quality variation during the storage. The results showed that firmness, total sugar content (TSC), titratable acidity (TA), and ascorbic acid (AA) content of postharvest strawberry had high correlations with the aerobic plate counts (APC) changes. A kinetic model of microbial growth was established based on modified Gompertz model in order to predict the shelf-life of postharvest strawberry. Moreover, the model was verified by several indices such as R2, Af, and Bf. This mathematical model at different temperatures fitted into the modified Gompertz model with a high correlation coefficient (R2 > 0.99). Predicted values were compared with observed values, and bias factors and accuracy factors were all in the acceptable range, indicating that this model had practical application. Practical application The predictive quality model for strawberries during storage was established which could be used to inhibit bacterial growth and prolong shelf-life. In addition, fast calculations of the shelf-life of strawberries based on the stored temperature led to optimizing their storage management and reducing the economic losses. Therefore, this quality models of strawberries had a promising prospect in predicting quality changes in the food industry.