In this study, a novel low cost and sustainable microalgal harvesting technique was developed using the concept of coagulant recovery concentration and recycling. Al can be recovered from harvested Scenedesmus acuminatus biomass with 0.1 M HCl, at an acid solution-biomass ratio of 250 ml g. The residual Al content in the purified biomass was reduced to 0.11 ± 0.0006 mg g, while a higher content of 59.74 ± 3.11 mg g was found in the coagulation harvested biomass. The recovered Al solution was concentrated 25 times and then reused for the harvesting of S. acuminatus. The Al recovery and reuse were repeated 5 times, and the harvesting efficiencies were found higher than the fresh Al as a result of the presence of extracellular polymeric substances in the recovered coagulant solution which aided the coagulation process. According to the technical-economic analysis, the cost of chemicals decreased 50% after 5 times recycling.
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http://dx.doi.org/10.1016/j.biortech.2018.06.105 | DOI Listing |
Neurology
February 2025
School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
Background And Objectives: Lipid metabolism in older adults is affected by various factors including biological aging, functional decline, reduced physiologic reserve, and nutrient intake. The dysregulation of lipid metabolism could adversely affect brain health. This study investigated the association between year-to-year intraindividual lipid variability and subsequent risk of cognitive decline and dementia in community-dwelling older adults.
View Article and Find Full Text PDFBrief Bioinform
November 2024
Center for Artificial Intelligence Research, Wake Forest University School of Medicine, Winston-Salem, NC 27101, United States.
Pathway analysis plays a critical role in bioinformatics, enabling researchers to identify biological pathways associated with various conditions by analyzing gene expression data. However, the rise of large, multi-center datasets has highlighted limitations in traditional methods like Over-Representation Analysis (ORA) and Functional Class Scoring (FCS), which struggle with low signal-to-noise ratios (SNR) and large sample sizes. To tackle these challenges, we use a deep learning-based classification method, Gene PointNet, and a novel $P$-value computation approach leveraging the confusion matrix to address pathway analysis tasks.
View Article and Find Full Text PDFAcc Chem Res
January 2025
Department of Chemistry, Shanghai Key Laboratory of Catalysis and Innovative Materials, Center of Chemistry for Energy Materials Shanghai, Fudan University, Shanghai 200433, PR China.
ConspectusZinc metal batteries (ZMBs) appear to be promising candidates to replace lithium-ion batteries owing to their higher safety and lower cost. Moreover, natural reserves of Zn are abundant, being approximately 300 times greater than those of Li. However, there are some typical issues impeding the wide application of ZMBs.
View Article and Find Full Text PDFMol Pharm
January 2025
Department of Pharmaceutics, School of Pharmacy, Virginia Commonwealth University, Richmond, Virginia 23298, United States.
Chemotherapy-induced peripheral neuropathy (CIPN) is a serious side effect of anticancer agents with limited effective preventive or therapeutic interventions. Although fenofibrate, a peroxisome proliferator-activated receptor-alpha (PPARα) agonist, has demonstrated neuroprotective and analgesic properties, its clinical utility is hindered by low receptor affinity, poor subtype selectivity, and suboptimal bioavailability. A190, a highly selective and potent nonfibrate PPARα agonist, offers a promising alternative but is limited by poor aqueous solubility, resulting in reduced oral bioavailability and therapeutic efficacy.
View Article and Find Full Text PDFPLoS One
January 2025
Heilongjiang University of Traditional Chinese Medicine, Harbin, Heilongjiang, China.
Hepatocellular carcinoma(HCC) has a high mortality and morbidity rate and seriously jeopardizes human life. Chemicals and chemotherapeutic agents have been experiencing problems such as side effects and drug resistance in the treatment of HCC, which cannot meet the needs of clinical treatment. Therefore, finding novel low-toxicity and high-efficiency anti-hepatocellular carcinoma drugs and exploring their mechanisms of action have become the current problems to be solved in the treatment of HCC.
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