Versatile Multi-Network Hydrogel of Acrylamide, Sodium Vinyl Sulfonate, and N,N′-Methylene Bisacrylamide: A Sustainable Solution for Paracetamol Removal and Swelling Behavior

Suren, Sira; Tutar, Rumeysa; Özeroğlu, Cemal; Karakuş, Selcan

doi:10.1007/s10924-023-02988-7

J Polym Environ

2023

DOI: 10.1007/s10924-023-02988-7

|View full text |Cite

Versatile Multi-Network Hydrogel of Acrylamide, Sodium Vinyl Sulfonate, and N,N′-Methylene Bisacrylamide: A Sustainable Solution for Paracetamol Removal and Swelling Behavior

Sira Suren

Rumeysa Tutar

Cemal Özeroğlu

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article2

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

References 47 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Gamma radiation synthesis of hydroxyethyl cellulose/acrylic acid/CYANEX 471X hydrogel for silver ions capture from acidic nitrate medium

Masry,

Gayed,

Daoud

2024

Cellulose

View full text Add to dashboard Cite

The current novelty in this study is to recover silver ion with selective extractant such as cyanex 471X (triisobutylphosphine sulfide) through a clean and green method with high efficiency. Herein, a sustainable hydrogel (HEC/AAc/CX3) was fabricated from triisobutylphosphine sulfide, hydroxyethyl cellulose (HEC), and acrylic acid (AAc) using gamma irradiation polymerization and implanted for the sorption of silver Ag (I) ions from a nitrate acidic medium. Different techniques were employed for characterization of HEC/AAc/CX3 hydrogel such as FT-IR, SEM, XRD, and EDX, before and after the sorption process of Ag(I) ions. Gel content and swelling kinetics ratio of hydrogels at different irradiation doses (10, 20, 30, 40, and 50 kGy) were studied. The Fickian diffusion model results indicate that HEC/AAc/CX3 hydrogel is non-Fickian diffusion, which confirmed that the diffusion and relaxation rates are compatible and were selected for further sorption of Ag(I). The irradiated HEC/AAc/CX3 hydrogels, which contain 0.1 g of cyanex 471X, were employed for batch sorption of 100 mg/L Ag(I) from an acidic solution, and the suggested conditions were pH = 1, time = 60, and v/m = 0.05 L/g, which gives a sorption percentage of 75%. The values of thermodynamic parameters ΔH, ΔG, and ΔS were evaluated as—62.80 kJ/mol, 5 kJ/mol, and -227 J/mol, which indicate that the sorption system was exothermic and nonspontaneous in nature. The maximum adsorption capacity of irradiated HEC/AAc/CX3 for Ag(I) was found to be 12 mg. g−1 at 298 K. Furthermore, the maximum desorption percent of Ag ions from HEC/AAc/CX3 was found to be 70% and achieved with 0.5 M NH4SCN after one desorption cycle. The prepared hydrogel proved its selectivity towards silver ions with facile desorption steps and reusability cycles. Graphical Abstract

show abstract

Gamma radiation synthesis of hydroxyethyl cellulose/acrylic acid/CYANEX 471X hydrogel for silver ions capture from acidic nitrate medium

Masry,

Gayed,

Daoud

2024

Cellulose

View full text Add to dashboard Cite

show abstract

The Effect of Different Methacrylation Amounts on Physical Properties of Gelatin Methacryloyl Biomaterials: Machine Learning Approach

Çakıcı,

Tutar

2024

Journal of the Turkish Chemical Society Section A: Chemistry

View full text Add to dashboard Cite

The rational design process for biomaterials is time-consuming. Machine learning (ML) is an efficient approach for reducing material synthesis and experimentation in terms of cost and time. Among the emerging biopolymers for tissue engineering applications, methacrylic anhydride (MA)-functionalized gelatin (GelMA), which was chosen as the model biomaterial for this study, has assumed a promising role owing to its excellent tunable properties and biocompatibility. The ML approach was used to determine the efficiency of the MA amounts selected for GelMA synthesis. In addition, the effect of different methacrylation amounts on the molecular structure of GelMA was indicated in terms of its physical properties. This modeling was performed to generate predictions based on 20 mL of MA. The prediction output was obtained as a result of four data models from the 20 mL MA column. First, data were collected with experimental applications for swelling and degradation ratios, and then the data processing phase was applied. The most suitable ML model, decision tree regression, was selected, and the results were interpreted graphically. The experimental results were compared with the ML results, and the efficiency of ML is shown in detail. The Mean Squared Error (MSE) value for degradation was calculated as 10.16, with a Root Mean Squared Error (RMSE) of 3.1885, Mean Absolute Error (MAE) of 2.6667, and Mean Absolute Percentage Error (MAPE) of 14.66%. For swelling, the MSE value was calculated to be 1821.25, with an RMSE of 3.1885, MAE of 2.6667, and MAPE of 14.66%. In future studies, it is anticipated that the performance of the model will improve with the expansion of the experimental dataset for swelling measurements.

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Versatile Multi-Network Hydrogel of Acrylamide, Sodium Vinyl Sulfonate, and N,N′-Methylene Bisacrylamide: A Sustainable Solution for Paracetamol Removal and Swelling Behavior

Cited by 2 publications

References 47 publications

Gamma radiation synthesis of hydroxyethyl cellulose/acrylic acid/CYANEX 471X hydrogel for silver ions capture from acidic nitrate medium

Gamma radiation synthesis of hydroxyethyl cellulose/acrylic acid/CYANEX 471X hydrogel for silver ions capture from acidic nitrate medium

The Effect of Different Methacrylation Amounts on Physical Properties of Gelatin Methacryloyl Biomaterials: Machine Learning Approach

Contact Info

Product

Resources

About