Sustainable Smart Polymer Composite Materials: A Comprehensive Review

This review provides a thorough analysis of the progress made in smart polymer composite materials, which have recently been seen as potential game-changers in areas such as construction, aerospace, biomedical engineering, and energy. This article emphasizes the distinctive characteristics of these materials, including their responsiveness to stimuli like temperature, light, and pressure, and their potential uses in different industries. This paper also examines the difficulties and restrictions associated with the creation and utilization of smart polymer composite materials. This review seeks to provide a thorough understanding of smart polymer composite materials and their potential to offer innovative solutions for a variety of applications

Exfoliation and physico-chemical characterization of novel bioplasticizers from Nelumbo nucifera leaf for biofilm application

Due to the extreme threats as environmental and health issues caused by the petroleum-based leachable plasticizers, researchers among different domains are more interested in finding unique biodegradable plasticizers from natural sources. The present study used Nelumbo nucifera leaf to extract novel biopolymers as viable substitutes for chemical plasticizers. The biopolymers extraction was carried out through chemical means and its physico-chemical and morphological characterization were carried out to confirm its plastic nature. The polymers extracted possess a low glass transition temperature (77.17 °C), good thermal stability (230 °C), low density (0.94 g/cc), good surface roughness (34.154 μm), low crystallinity index (25.1%) and moderate crystallite size (16.36 nm). The presence of an organic polymer with specific chemical groups as olefinic alkenes, epoxide, imino/azo groups, and hydrophobic organic siloxane groups, signify that the material is a condensed phenolic derivative. Furthermore, bio-film was formulated using NLP and poly lactic acid (PLA) matrix to evaluate its plasticizing effect and film-forming ability. Variation in specific properties of film was noted after bio-plasticizer addition, where tensile strength (20.94 ± 1.5 MPa to 19.22 ± 1.3 MPa) and Young's modulus (1.462 ± 0.43 GPa to 1.025 ± 0.52 GPa) was found to be decreased whereas increased the percentage of elongation at break (26.30 ± 1.1% to 39.64 ± 1.6%). In addition, decreased glass transition temperature (Tg) (59.17 °C), good surface compatibility, and increased flexibility of NLP-PLA film in contrast to pure PLA film authorizes the plasticizing effect of bio-plasticizers on PLA. Since the extracted bio-plasticizers could be a suitable replacement to harmful synthetic plasticizers for lightweight packaging applications in bioplastics sector

Sustainable Smart Polymer Composite Materials: A Comprehensive Review

This review provides a thorough analysis of the progress made in smart polymer composite materials, which have recently been seen as potential game-changers in areas such as construction, aerospace, biomedical engineering, and energy. This article emphasizes the distinctive characteristics of these materials, including their responsiveness to stimuli like temperature, light, and pressure, and their potential uses in different industries. This paper also examines the difficulties and restrictions associated with the creation and utilization of smart polymer composite materials. This review seeks to provide a thorough understanding of smart polymer composite materials and their potential to offer innovative solutions for a variety of applications

Chitosan Biopolymer and Its Nanocomposites: Emerging Material as Adsorbent in Wastewater Treatment

Water pollution is a global issue because of potentially lethal toxins. Polymeric nanomaterials are making their way into water treatment processes and are being utilized to efficiently remove a variety of pollutants. Polymeric nanomaterials are a popular option for a solution because they have a high adsorption capacity and a high surface charge. Nanocomposites have recently come to the attention of those working in the field of water treatment in order to more effectively remove contaminants. Polymeric composites are based on biopolymers and are being developed. These all quickly reached the industrial standards because of their low impact on the natural world. Chitosan is one of the biopolymers that are used extensively. Moreover, it is one of the most highly preferred biopolymers. It is simple to scale up and is readily available. The incorporation of nanomaterials into the biopolymer enables better control over the shape, size, and morphology of the particle, as well as an increase in the efficiency with which contaminants are removed. This is an excellent review that examines recent developments in the formation of chitosan-based polymeric nanocomposites and their performance in removing various contaminants including heavy metals, dyes, pesticides, pharmaceutical waste, and radionuclides from water

Descriptive study to assess the knowledge on risk factors of Coronary Artery Disease (CAD)

CAD is the most common type of CVD which is characterized by deposits of lipids within the intima of the coronary artery. CAD is the leading cause of mortality and morbidity in many countries worldwide. The investigators adopted a quantitative approach to assess the knowledge on risk factors of CAD among patients in selected OPDs of M.O.S.C Medical College Hospital, Kolenchery. A descriptive design with non-probability convenience sampling technique was used. 120 clients who have given consent and shown willingness to participate were enrolled in the study. Data was collected by using demographic proforma, and structured knowledge questionnaireThe data was analyzed using descriptive and inferential statistics. The collected data was organized tabulated and analyzed by descriptive [mean, median, mode and standard deviation] and inferential statistics [chi-square test].The data revealed that the level of knowledge on risk factors of cad among subjects attending selected OPDs, out of 120 samples 30 (25%) have good knowledge, 85 (71%) have average knowledge and only 5 (4%) have poor knowledge. There was significant association between knowledge level and education whereas there was no significant association between age, sex, religion, income, marital status, occupation and food habit