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Cyanobacterial phycoremediation: a sustainable approach to dairy wastewater management.

Environ Technol

January 2025

Botany Discipline, School of Biological Sciences and Biotechnology, Goa University, Goa, India.

The dairy industry is a significant sector within the food industries, known for its high-water consumption and consequent generation of dairy wastewater (DWW), which is rich in pollutants like Chemical Oxygen Demand (COD) and Biological Oxygen Demand (BOD). Improper disposal of DWW poses serious environmental challenges, including eutrophication and highlighting the need for sustainable biological treatment methods. This study investigates the potential of indigenous cyanobacterial strains , , , and for the bioremediation of DWW.

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Background: Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal diseases. Although several chemotherapy regimens have been developed over the past decades, few targeted therapies have shown a significant improvement in overall survival, partly due to the identification of PDAC as a single disease.

Methods: Combining metabolomic analysis and immunohistochemistry staining with Oil Red O staining, analysis for the oxygen consumption rate and extracellular acidification rate, we stratified pancreatic cancer cells into two subtypes.

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Background: Photodynamic therapy (PDT) is a noninvasive cancer treatment that works by using light to stimulate the production of excessive cytotoxic reactive oxygen species (ROS), which effectively eliminates tumor cells. However, the therapeutic effects of PDT are often limited by tumor hypoxia, which prevents effective tumor cell elimination. The oxygen (O) consumption during PDT can further exacerbate hypoxia, leading to post-treatment adverse events.

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Cyanobacteria are important model organisms for studying the process of photosynthesis and the effects of environmental stress factors. This study aimed to identify the inhibitory sites of NaCl in the whole photosynthetic electron transport in Synechocystis sp. PCC 6803 WT cells by using multiple biophysical tools.

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Introduction: Marathon running has become increasingly popular among amateur athletes, many of whom maintain speeds of 8-9 km/h. However, existing methods for estimating oxygen consumption (VO) during running and walking-such as the American College of Sports Medicine (ACSM) equations and commercial activity monitors-often lack accuracy and transparency. This study introduces the Hata-Yanagiya Physical Activity Calculation (HYPAC) system, a novel approach for estimating VO using Global Positioning System (GPS) and map data.

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