Response to comments on “Prediction of the pH and the temperature-dependent swelling behavior of Ca2+-alginate hydrogels by artificial neural networks”

Koç, Mehmet Levent; Özdemir, Ülkü; İmren, Dilek

doi:10.1016/j.ces.2009.01.001

Cited by 4 publications

(4 citation statements)

References 6 publications

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“…However, at 4 °C and 45 °C conditions, there was a noticeable increase in sizes and PDI starting from the first month and continuing over time. The reason might be due to the temperature-dependent change in polymer solubility [ 67 ]. Consequently, it is recommended to store CANPs and PH-loaded CANPs formulations at 25 °C due to their favorable stability.…”

Section: Resultsmentioning

confidence: 99%

Chitosan Alginate Nanoparticles of Protein Hydrolysate from Acheta domesticus with Enhanced Stability for Skin Delivery

Yeerong,

Chantawannakul,

Anuchapreeda

et al. 2024

Pharmaceutics

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This study aimed to develop chitosan alginate nanoparticles (CANPs) for enhanced stability for dermal delivery of protein hydrolysate from Acheta domesticus (PH). CANPs, developed using ionotropic pre-gelation followed by the polyelectrolyte complex technique, were characterized for particle size, polydispersity index (PDI), and zeta potential. After the incorporation of PH into CANPs, a comprehensive assessment included encapsulation efficiency, loading capacity, morphology, chemical analyses, physical and chemical stability, irritation potential, release profile, skin permeation, and skin retention. The most optimal CANPs, comprising 0.6 mg/mL sodium alginate, 1.8 mg/mL calcium chloride, and 0.1 mg/mL chitosan, exhibited the smallest particle size (309 ± 0 nm), the narrowest PDI (0.39 ± 0.01), and pronounced negative zeta potential (−26.0 ± 0.9 mV), along with an encapsulation efficiency of 56 ± 2%, loading capacity of 2.4 ± 0.1%, release of 40 ± 2% after 48 h, and the highest skin retention of 12 ± 1%. The CANPs induced no irritation and effectively enhanced the stability of PH from 44 ± 5% of PH remaining in a solution to 74 ± 4% after three-month storage. Therefore, the findings revealed the considerable potential of CANPs in improving PH stability and skin delivery, with promising applications in cosmetics and related fields.

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Section: Resultsmentioning

confidence: 99%

Chitosan Alginate Nanoparticles of Protein Hydrolysate from Acheta domesticus with Enhanced Stability for Skin Delivery

Yeerong,

Chantawannakul,

Anuchapreeda

et al. 2024

Pharmaceutics

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“…The authors have also enlightened the application of supervised, unsupervised, and reinforcement learning to study hydrogels' mechanics. Nowadays, machine learning‐based artificial neural network (ANN) is used significantly to determine hydrogels' physical and chemical properties 229–231 …”

Section: Atomistic Techniques To Study Hydrogelsmentioning

confidence: 99%

“…Nowadays, machine learningbased artificial neural network (ANN) is used significantly to determine hydrogels' physical and chemical properties. [229][230][231]…”

Section: Machine Learning Based Approachmentioning

confidence: 99%

Atomistic simulations of pristine and nanoparticle reinforced hydrogels: A review

Kumar

Parashar

2023

WIREs Comput Mol Sci

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Hydrogel is a three-dimensional cross-linked hydrophilic network that can imbibe a large amount of water inside its structure (up to 99% of its dry weight). Due to their unique characteristics of biocompatibility and flexibility, it has found applications in diversified fields, including tissue engineering, drug delivery, biosensors, and agriculture. Even though hydrogels are widely used in the biomedical field, their lower mechanical strength still limits their application to its full potential. Hydrogels can be reinforced with organic, inorganic, and metal-based nanofillers to improve their mechanical strength. Due to improved computational power, computational-based techniques are emerging as a leading characterization technique for nanocomposites and hydrogels. In nanomaterials, atomistic description governs the mechanical strength and thermal behavior that realized atomistic level simulations as an appropriate approach to capture the deformation governing mechanism. Among atomistic simulations, the molecular dynamics (MD)-based approach is emerging as a prospective technique for simulating neat and nanocomposite-based hydrogels' mechanical and thermal behavior. The success and accuracy of MD simulation entirely depend on the force field. This review article will compile the force field employed by the research community to capture the atomistic interactions in different nanocomposite-based hydrogels. This article will comprehensively review the progress made in the atomistic approach to study neat and nanocomposite-based hydrogels' properties. The authors have enlightened the challenges and limitations associated with the atomistic modeling of hydrogels.

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“…Alginate and pectin microbeads are stable in the pH range from close to the pK a value of the biopolymers (around pH 3.0 and 3.5, respectively) to slight alkaline pHs (below 9.0) depending on the environmental conditions (e.g., temperature, ionic strength, and solvent) [25,26]. When the pH of the solution is below the pK a , the biopolymers precipitate as a neutral molecule because the carboxylate residues are moving to protonated state and are not available to establish bridges with calcium ions.…”

Section: Effect Of Ph On Emulsified Pectin Matrix Stabilitymentioning

confidence: 99%

Characterization and Stability Analysis of Biopolymeric Matrices Designed for Phage-Controlled Release

Dini

Islan

Castro

2014

Appl Biochem Biotechnol

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Alginate and low methoxylated pectin gel matrices emulsified with oleic acid were studied for phage oral delivery. Matrix structural analysis revealed that emulsified pectin (EP) gel microbeads were harder and more cohesive than those of emulsified alginate (EA). EP showed high swelling capacity and slower matrix degradation in aqueous media, suggesting that oleic acid is mainly located on the surface of EP microbeads. EA and EP matrices having p-nitrophenyl palmitate (C-16 ester) as tracer dissolved into oleic acid and in the presence of lipase confirmed this hypothesis which is consistent with EP better phage protective capability. Surface analysis of gel microbeads by scanning electron microscopy revealed strong differences between EP and EA gel microbeads. Phage release kinetics was tested using semi-empirical mathematical models. Experimental curve best fitted the Korsmeyer-Peppas model, predicting transport mechanisms according to the high swelling and degradation of EP. The proposed encapsulation model represents an innovative technology for phage therapy, which can be extrapolated to other therapeutic purposes, using a simple environmentally friendly synthesis procedure and cheap food-grade raw materials.

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Response to comments on “Prediction of the pH and the temperature-dependent swelling behavior of Ca2+-alginate hydrogels by artificial neural networks”

Cited by 4 publications

References 6 publications

Chitosan Alginate Nanoparticles of Protein Hydrolysate from Acheta domesticus with Enhanced Stability for Skin Delivery

Chitosan Alginate Nanoparticles of Protein Hydrolysate from Acheta domesticus with Enhanced Stability for Skin Delivery

Atomistic simulations of pristine and nanoparticle reinforced hydrogels: A review

Characterization and Stability Analysis of Biopolymeric Matrices Designed for Phage-Controlled Release

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