Arsenic contamination of ground water is a worldwide issue, causing a number of ailments in humans. As an engineered and integrated solution, a hybrid vertical subsurface flow constructed wetland (VSSF-CW) amended with BCXZM composite (Bacillus XZM immobilized on rice husk biochar), was found effective for the bioremediation of arsenic contaminated water. Biological filter was prepared by amending top 3 cm of VSSF-CW bed with BCXZM.
View Article and Find Full Text PDFArsenic (As) is known for its carcinogenic and hepatorenal toxic effects causing serious health problems in human beings. Turmeric (Curcuma longa L.) extracted curcumin (Cur) is a polyphenolic antioxidant which has ability to combat hazardous environmental toxicants.
View Article and Find Full Text PDFHarvesting the low molecular weight (LMW) proteins from the cellular exudates is a big challenge for early disease detection. Here, we introduce a unique probe composed of surface-functionalized FeC NPs with different functional groups to harvest, identify and profile differentially expressed biomarker proteins. Three different functionalization of FeC NPs with FeC@NH FeC@COOH and FeC@PEG enabled to harvest 119 differentially expressed proteins from HeLa cell exudates.
View Article and Find Full Text PDFDEFB-TP5 is a novel auspicious health-beneficial peptide derivative from two naturally occurring peptides, β-Defensin (DEFB) and thymopentin (TP5), and shows strong anti-inflammatory activity and binds to LPS without cytotoxicity and hemolytic effect. Furthermore, the application of DEFB-TP5 peptide is inadequate by its high cost. In the current study, we developed a biocompatible mechanism for expression of the DEFB-TP5 peptide in .
View Article and Find Full Text PDFBackground: Searching the biomarker from complex heterogeneous material for early detection of disease is a challenging task in the field of biomedical sciences.
Objective: The study has been arranged to explore the proteomics serum derived profiling of the differential expressed and low molecular weight protein in breast cancer patient.
Methods: Quantitative proteome was analyzed using the Nano LC/Mass and Bioinformatics tool.