Preparation of DNA biosensor application from fuel oil waste by functionalization and characterization of MWCNT

SARS-CoV-2 Morphometry Analysis and Prediction of Real Virus Levels Based on Full Recurrent Neural Network Using TEM Images

The SARS-CoV-2 virus is responsible for the rapid global spread of the COVID-19 disease. As a result, it is critical to understand and collect primary data on the virus, infection epidemiology, and treatment. Despite the speed with which the virus was detected, studies of its cell biology and architecture at the ultrastructural level are still in their infancy. Therefore, we investigated and analyzed the viral morphometry of SARS-CoV-2 to extract important key points of the virus's characteristics. Then, we proposed a prediction model to identify the real virus levels based on the optimization of a full recurrent neural network (RNN) using transmission electron microscopy (TEM) images. Consequently, identification of virus levels depends on the size of the morphometry of the area (width, height, circularity, roundness, aspect ratio, and solidity). The results of our model were an error score of training network performance 3.216 × 10^-11 at 639 epoch, regression of -1.6 × 10^-9, momentum gain (Mu) 1 × 10^-9, and gradient value of 9.6852 × 10^-8, which represent a network with a high ability to predict virus levels. The fully automated system enables virologists to take a high-accuracy approach to virus diagnosis, prevention of mutations, and life cycle and improvement of diagnostic reagents and drugs, adding a point of view to the advancement of medical virology.

Novel combination of multi-walled carbon nanotubes and gold nanocomposite for photothermal therapy in human breast cancer model

Despite current medical advancements, the resistance of malignant tumours to conventional medical therapies highlights the need for innovative therapeutic techniques. Numerous studies have focused on the promising application of nanomaterials in recent years. Nanoparticles (NPs) are used to treat cancer. Plasmonic photothermal therapy (PPTT) is a cancer-ablation technique in which photon energy is rapidly converted into heat by some radiative and non-radiative events. Gold NPs (Au-NPs) and carbon nanotubes (CNTs) are plasmonic NPs with excellent thermal conductivity and their near-infrared (NIR) absorbance has several interesting qualities. Additionally, CNTs could penetrate cells. In this study, Au-NPs were used to fabricate multi-walled CNTs (MWCNTs), which could boost its efficacy in cancer treatment in accordance with PPTT. Transmission electron microscopy, field-emission scanning electron microscopy (FESEM), atomic force microscopy and FTIR were used to examine the MWCNTs made from walnut shell. Au-NPs were explored using green chemistry and MWCNT-COOAu, MWCNT-COO and MWCNT-Au were examined by Raman, EDX and FESEM techniques. The effect of MWCNT-COOAu, MWCNT-COO and MWCNT-Au at various concentrations (3.12, 6.25, 12.5 and 25 µg/mL) and irradiation time intervals (30, 60, 90 and 120 sec) by using NIR laser under λ = 1064 nm and P = 3 W on the breast cancer cell line (MCF7) was investigated. The highest temperatures for MWCNT-COO, MWCNT-COOAu and MWCNT-Au were determined to be 44.1 °C, 46 °C and 46.9 °C, respectively, which produced 61.66 %, 72 % and 85.3 % cytotoxicity, respectively, in MCF7 cell line at a concentration of 25 µg/mL and an irradiation period of 120 sec. The treatment of MCF7 cell line by photothermal therapy was found to be in a concentration- and time-dependent manner.

Meat packaging solutions to current industry challenges: A review

Many advances have occurred in the field of smart meat packaging, and the potential for these to be used as tools that respond to challenges faced by industry is exciting. Here, we review packaging solutions to several immediate concerns, encompassing dark cutting, purge and yield losses, product traceability and provenance, packaging durability, microbial spoilage and safety, colour stability, environmental impacts, and the preservation of eating quality. Different active and intelligent packaging approaches to each of these were identified and are discussed in terms of their usefulness - to processors, retailers and/or consumers. From this, it became apparent that prior to selecting a packaging solution, industry should first define their criteria for success (e.g. How much purge is too much? What is a reasonable shelf-life to facilitate product turnover? Is the customer willing to pay for this?), and understand that packaging is not the sole solution, but acts as part of a holistic response to these issues.