A simple chemical synthetic route was designed to prepare zinc oxide nanoparticles (ZnO-NPs) by using sodium alginate as anti-agglomeration agent in the presence of sodium hydroxide as alkali. Next, surface modification of ZnO-NPs with SiO nanoparticles was achieved as per to sol-gel process. Further enhancing of the multifunctional properties of SiO@ZnO-NPs was conducted successfully thanks to (aminopropyl)triethoxysilan (APTES) and vinyltriethoxysilan (VTES) which, in turns, increase the affinity of the SiO@ZnO-NPs nanocomposite towards glycosidic chains of cotton fabrics. Thorough characterizations of synthesized ZnO-NPs, SiO@ZnO-NPs, SiO@ZnO-NPs/APTES and SiO@ZnO-NPs/VTES were conducted by the making use of well advanced techniques such as FT-IR, XRD, TEM, DLS and SEM-EDX. The data obtained clarified the formation of an interfacial chemical bond between ZnO and SiO as affirmed by FT-IR and XRD analysis. In addition, the results revealed by TEM, zeta sizer and SEM-EDX techniques, declared that the amorphous layers of SiO, APTES or VTES evenly coated the surface of ZnO-NPs. For these nanocomposites, the work was extended to render cotton fabrics multifunctional properties such as antibacterial and UV protection with high durability even after 20 washing cycles using pad dry cure method. Taking the advantages of the silane compounds terminated by active groups such as OH, NH, etc., open the door for further functionalization of the cotton fabrics' surfaces by durable multifunctional agents applied in various applications.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.jcis.2017.03.080 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Mechanically robust, mouldable, dynamically crosslinked hydrogel flap with multiple functionalities for accelerated deep skin wound healing.
Biomater Adv
January 2025
Department of Biological Sciences and Engineering, Indian Institute of Technology Gandhinagar, Gujarat, India. Electronic address:
Deep cutaneous wounds, which are difficult to heal and specifically occur on dynamic body surfaces, remain a substantial healthcare challenge in clinical practice because of multiple underlying factors, including excessive reactive oxygen species, potential bacterial infection, and extensive degradation of the extracellular matrix (ECM) which further leads to the progressive deterioration of the wound microenvironment. Any available individual wound therapy, such as antibiotic-loaded cotton gauze, cannot address all these issues. Engineering an advanced multifunctional wound dressing is the current need to promote the overall healing process of such wounds.
View Article and Find Full Text PDFTextronic Sensors of Hazardous Gaseous Substances.
Materials (Basel)
January 2025
Faculty of Electrical, Electronic, Computer and Control Engineering, Lodz University of Technology, 18. Stefanowskiego Str., 90-924 Lodz, Poland.
Toxic materials are a threat in workplaces and the environment, as well as households. In them, gaseous substances are included, especially ones without any colour or fragrance, due to their non-detectability with the human senses. In this article, an attempt was made to find a solution for its detection in various conditions with the use of intelligent textiles.
View Article and Find Full Text PDFFacile and atom-economical synthesis of highly efficient chitosan-based flame retardants towards fire-retarding and antibacterial multifunctional coatings on cotton fabrics.
Int J Biol Macromol
January 2025
The Collaborative Innovation Center for Eco-Friendly and Fire-Safety Polymeric Materials (MoE), College of Chemistry, Sichuan University, Chengdu 610064, China.
The development of bio-based flame retardants has garnered significant attention, however, significant challenges remain in achieving efficient flame retardancy and eco-friendly preparation methods. Herein, we propose a facile, atomic-efficient, and eco-friendly strategy for synthesizing a trinity chitosan-based flame retardant, phosphite-protonated chitosan (PCS). The chemical structure was systematically analyzed and the impact of varying degrees of protonation on the dissolution behavior and rheological properties were investigated.
View Article and Find Full Text PDFMolecularly imprinted polymer-based biosensor for detection of salivary glucose in diabetes.
Int J Pharm
January 2025
Shobhaben Pratapbhai Patel School of Pharmacy and Technology Management, SVKM'S NMIMS, V. L. Mehta Road, Vile Parle (W), Mumbai, India. Electronic address:
Diabetes is a disorder attributed to impaired production or utilization of insulin and requires rapid precise monitoring of glucose levels. The fabrication of nanotechnology-based non-invasive biosensors for glucose detection holds significant promise for improved diabetes care and point-of-care diagnostics. The study demonstrates a novel molecularly imprinted polymers (ADMIPs) based sensitive biosensor for glucose estimation in saliva using three distinct sensing platforms -cotton swab, paper strip and polymeric film by colorimetric assay.
View Article and Find Full Text PDFAnalysis of the genetic basis of fiber-related traits and flowering time in upland cotton using machine learning.
Theor Appl Genet
January 2025
State Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Institute of Cotton Research of Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China.
Cotton is an important crop for fiber production, but the genetic basis underlying key agronomic traits, such as fiber quality and flowering days, remains complex. While machine learning (ML) has shown great potential in uncovering the genetic architecture of complex traits in other crops, its application in cotton has been limited. Here, we applied five machine learning models-AdaBoost, Gradient Boosting Regressor, LightGBM, Random Forest, and XGBoost-to identify loci associated with fiber quality and flowering days in cotton.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!