Nanotechnology is still developing over the decades and it is commonly used in biomedical applications with the design of nanomaterials due to the several purposes. With the investigation of materials on the molecular level has increased the develop composite nanomaterials with exceptional properties using in different applications and industries. The application of these composite nanomaterials is widely used in the fields of textile, chemical, energy, defense industry, electronics, and biomedical engineering which is growing and developing on human health. Development of biosensors for the diagnosis of diseases, drug targeting and controlled release applications, medical implants and imaging techniques are the research topics of nanobiotechnology. In this review, overview of the development of nanotechnology and applications which is use of composite nanomaterials in biomedical engineering is provided.

Coronavirus disease 2019 (COVID-19) is a major public health concern currently. To date, there are no approved antiviral drugs or vaccines against this transmissible disease. This report sheds light on available information for a better understanding of clinical trials and pharmacotherapy related to COVID-19. MEDLINE, PubMed, EMBASE, Scopus databases, Web of Science, WHO, and EU clinical trial sites were used to perform comparative analysis. Information was collected on the use of therapeutic agents for human therapy in patients with COVID-19 up to May 2020. We have extracted data from 60 clinical trials. Amongst these trials, 34 were from the European Union database of clinical trials and 26 from the National Institute of Health. The data selection procedure includes active, completed, and recruitment in progress status. Most of the clinical trials are ongoing and hence, there is a lack of precise results for the treatment.There is a lack of high-quality clinical evidence. The protocol to be developed requires large randomized clinical trials with a combination of available drugs and prospective therapies. We propose the usage of a large number of cases and different statistical analyses to conduct systematic clinical trials. This could provide comprehensive information about the clinical trial and potential therapeutic progress.

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Human Coronaviruses (HCoV) exhibit positive single stranded RNA genome with enveloped nucleocapsid. Coronavirus belongs to the family Coronaviridae, originated from avian and mammalian species causes upper respiratory tract infection in humans by novel HCoVs viruses named as HCoV-HKU1, HCoV-NL63 but predominant species is Middle East respiratory syndrome (MERS-CoV) across the world. HCoV-HKU1 sp. is associated with chronic pulmonary disease, while HCoV-NL63 causes upper and lower respiratory tract disease in both children and adults, but most recent one was MERS-CoV, which caused acute pneumonia and occasional renal failure. The novel coronavirus SARS-CoV-2 is a new strain that causes the Coronavirus Disease 2019 (COVID-19) as named by the World Health Organization. According to the recent world statistics report about the COVID-19 cases approx. 101,500 confirmed cases and 3,500 death cases appeared. And mostly, a case of infection with CoV was identified in Wuhan, China. Structurally viral genome constitutes of 2/3rd of replicase gene encoding ORFs regions and rest of the 1/3rd region of genome form the structural proteins. The aim of the study was to understand the viral genetic systems in order to facilitate the genetic manipulation of the viral genome and to know the fundamental mechanism during the viral replication, facilitating the development of antidotes against the virus.

Herein we describe the synthesis of Concanavalin A-poly(2-hydroxyethyl methacrylate-ethylene dimethacrylate) hydrogel membranes (via photopolymerization technique) for antibody separation from aqueous solutions. Different characterization techniques including Scanning Electron Microscopy, Fourier Transform Infrared Spectroscopy, Elemental Analysis and swelling tests revealed the highly rough morphology and spherical shape of the synthetized membranes. Attached amount of IMEO (salinization agent) onto polymeric structure and Con A binding capacity were found to be 10.85 mol/g and 3.52 mg/g, respectively. Optimum conditions for IgG adsorption such as adsorption capacity, pH and reusability profile of HMs were judiciously characterized. Maximum IgG adsorption capacity of hydrogel membrane was found to be as 26.81 mg/g. Adsorbed IgG was eluted successfully by using 2.0 M of NaCl solution. Reusability profiles of hydrogel membrane in five adsorption-desorption cycles revealed that there was no significant decrease in IgG adsorption capacity at the end of the 5th reuse. The hydrogel membranes reported here hold considerable promise as an effective sorbent system for IgG adsorption with good stability and efficient repeated usage.

In this study presented, p(HEMA) nanoparticles were synthesized by the emulsion polymerization technique and then activated by a silanization agent, 3-aminopropyltriethoxysilane (APTES). The APTES-functionalized p(HEMA) nanoparticles that were synthesized were characterized by studies using the Zetasizer, FTIR and SEM. The p(HEMA)-APTES nanoparticles were further modified with phenyl boronic acid (PBA), and these boronate affinity nanoparticles were used for the recognition of some sugars such as galactose, fructose and raffinose. The system parameters (temperature and initial sugar concentration) were optimized for maximum sugar adsorption. The maximum amount of galactose, fructose, and raffinose adsorbed were found to be 4334.5 mg/g; 4334.9 and 810.0 mg/g, respectively (at 25°C, in a phosphate buffer of pH 7.0). Considering the results of this study, it can be concluded that these nanoparticles may be used as a new alternative for the specific recognition of sugar.

G lukoz hücreler için önemli bir enerji kaynağıdır ve bir ara / metabolik ajan olarak kullanılır. Glukozun seçici olarak tanınması birçok metabolik hastalığın teşhisi için önemlidir. Bu çalışmada, p(GMA) nanopolimerine lektin ligandı (Con A) bağlanarak p(GMA)-ConA sentezlendi ve karakterize edildi. p(GMA)-ConA nanopolimeri ve glikozun en iyi etkileşiminin 10 mM glukoz konsantrasyonu ve pH = 8.0 koşullarında olduğu belirlenmiştir. Seçicilik analizinde p(GMA)-Con A'nın, glukoz için galaktozdan 2 kat seçici olduğu bulunmuştur. Glukozun tanınması için seçici, yüksek yüzey alanına sahip, düşük maliyetli ve yüksek adsorpsiyon kapasitesiyle yüksek oranda biyouyumlu olan lektin afinite esaslı nanopolimer sistem geliştirilmiştir. Anahtar KelimelerNanoteknoloji, glukoz, lektin afinite kromatografisi, concanavalin A.