The Gompertz model and its applications in microbial growth and bioproduction kinetics: Past, present and future

Wang, Jianlong; Guo, Xuan

doi:10.1016/j.biotechadv.2024.108335

Cited by 10 publications

(3 citation statements)

References 73 publications

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“…Therefore, in the following section, we will describe the well-known pharmacokinetic models used to describe the mechanisms governing the release of bioactive agents. A comprehensive overview of DD models is provided in [ 59 , 60 , 61 , 62 , 63 ]. Given the availability of different models, several fittings were performed to identify the kinetic model that best fitted the studied data to describe the DD modalities from several MagSs [ 41 , 43 , 44 , 46 , 48 , 49 , 50 , 51 ] based on the available experimental data.…”

Section: Model and Methodologymentioning

confidence: 99%

“…Given the availability of different models, several fittings were performed to identify the kinetic model that best fitted the studied data to describe the DD modalities from several MagSs [ 41 , 43 , 44 , 46 , 48 , 49 , 50 , 51 ] based on the available experimental data. In this work, we will focus on Gompertz and Korsmeyer–Peppas (KPM) models, proving that they are flexible and generally applicable [ 59 , 60 , 61 , 62 , 63 ].…”

Section: Model and Methodologymentioning

confidence: 99%

“…The KPM is a semi-empirical, comprehensive equation that simulates drug release from several delivery systems, primarily for polymeric systems. The KPM is expressed as follows [ 56 , 57 , 59 , 60 , 61 , 62 , 63 ]:

…”

Section: Model and Methodologymentioning

confidence: 99%

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Modeling of Magnetic Scaffolds as Drug Delivery Platforms for Tissue Engineering and Cancer Therapy

Lodi,

Corda,

Desogus

et al. 2024

Bioengineering

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Magnetic scaffolds (MagSs) are magneto-responsive devices obtained by the combination of traditional biomaterials (e.g., polymers, bioceramics, and bioglasses) and magnetic nanoparticles. This work analyzes the literature about MagSs used as drug delivery systems for tissue repair and cancer treatment. These devices can be used as innovative drugs and/or biomolecules delivery systems. Through the application of a static or dynamic stimulus, MagSs can trigger drug release in a controlled and remote way. However, most of MagSs used as drug delivery systems are not optimized and properly modeled, causing a local inhomogeneous distribution of the drug’s concentration and burst release. Few physical–mathematical models have been presented to study and analyze different MagSs, with the lack of a systematic vision. In this work, we propose a modeling framework. We modeled the experimental data of drug release from different MagSs, under various magnetic field types, taken from the literature. The data were fitted to a modified Gompertz equation and to the Korsmeyer–Peppas model (KPM). The correlation coefficient (R2) and the root mean square error (RMSE) were the figures of merit used to evaluate the fitting quality. It has been found that the Gompertz model can fit most of the drug delivery cases, with an average RMSE below 0.01 and R2>0.9. This quantitative interpretation of existing experimental data can foster the design and use of MagSs for drug delivery applications.

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Section: Model and Methodologymentioning

confidence: 99%

Section: Model and Methodologymentioning

confidence: 99%

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Modeling of Magnetic Scaffolds as Drug Delivery Platforms for Tissue Engineering and Cancer Therapy

Lodi,

Corda,

Desogus

et al. 2024

Bioengineering

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Rumen fluid pretreatment promotes anaerobic methane production: revealing microbial dynamics driving increased acid yield from different concentrations of corn straw

Yu,

Sun,

Cao

et al. 2024

Environ Sci Pollut Res

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In this work, the corn stover (CS) with concentration of 3%, 6% and 9% (w/v) were pretreated by rumen uid and then used for batched mesophilic biogas production. The results showed that after a 6-day pretreatment, VFAs production of 3.78, 8.27, and 10.4 g/L could be found in 3%, 6% and 9%, respectively. When concerning with biogas production, the highest accumulative methane production of 149.1 mL CH 4 /g VS was achieved by 6% pretreated CS, which was 22% and 45% higher than 3% and 9%, respectively. Also, it was 3.6 times higher than the same concentration of unpretreated CS. The results of microbial community structure revealed highest relative abundance of Firmicutes (45%) and Euryarchaeota (3.9%) in 6% CS, which was bene cial to its high VFAs and methane production. These ndings provide scienti c reference for the utilization of CS and support the development of agricultural waste resource utilization and environmental protection.

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Exploring the potential of fruit peels and sheep feces-derived garbage enzymes for bio-hydrogen production from sewage sludge

Tyagi,

Dhodapkar,

Patil

2024

Biomass Conv. Bioref.

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The Gompertz model and its applications in microbial growth and bioproduction kinetics: Past, present and future

Cited by 10 publications

References 73 publications

Modeling of Magnetic Scaffolds as Drug Delivery Platforms for Tissue Engineering and Cancer Therapy

Modeling of Magnetic Scaffolds as Drug Delivery Platforms for Tissue Engineering and Cancer Therapy

Rumen fluid pretreatment promotes anaerobic methane production: revealing microbial dynamics driving increased acid yield from different concentrations of corn straw

Exploring the potential of fruit peels and sheep feces-derived garbage enzymes for bio-hydrogen production from sewage sludge

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