The effects of glucose on enhanced biological phosphorus removal (EBPR) activated sludge enriched with acetate was investigated using sequencing batch reactors. A glucose/acetate mixture was serially added to the test reactor in ratios of 25/75%, 50/50%, and 75/25% and the EBPR activity was compared to the control reactor fed with 100% acetate. P removal increased at a statistically significant level to a near-complete in the test reactor when the mixture increased to 50/50%. However, EBPR deteriorated when the glucose/acetate mixture increased to 75/25% in the test reactor and when the control reactor abruptly switched to 100% glucose. These results, in contrast to the EBPR conventional wisdom, suggest that the addition of glucose at moderate levels in wastewaters does not impede and may enhance EBPR, and that glucose waste products should be explored as an economical sustainable alternative when COD enhancement of EBPR is needed.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.biortech.2012.06.086 | DOI Listing |
Vet Rec
January 2025
Departamento de Anatomía y Anatomía Patológica Comparadas, Facultad de Veterinaria, Universidad de Murcia, Murcia, Spain.
Background: Caprine tuberculosis is a chronic infectious disease caused by Mycobacterium bovis and Mycobacterium caprae. A tuberculosis control programme has been implemented using the comparative intradermal tuberculin (CIT) test. However, infection with Corynebacterium pseudotuberculsis and infection with or vaccination against Mycobacterium avium subspecies paratuberculosis (MAP) may have a negative impact on specificity.
View Article and Find Full Text PDFJ Environ Manage
January 2025
Department of Hydraulic and Sanitary Engineering, Poznan University of Life Sciences, Piatkowska St. 94A, 60-649, Poznan, Poland. Electronic address:
The paper presents a proposal to modify a field method of testing the condition of activated sludge using a 30-min volume of sludge (settling test). To verify the validity of the modified method of testing the condition of activated sludge, field tests were performed in two onsite wastewater treatment plants. In these plants, the reaction chambers were fed by gravity from the primary sedimentation tank throughout the day.
View Article and Find Full Text PDFAppl Radiat Isot
January 2025
Institute of Nuclear Engineering and Science, National Tsing Hua University, 101, Sec. 2, Kuang-Fu Road, Hsinchu, 30013, Taiwan; Nuclear Science and Technology Development Center, National Tsing Hua University, 101, Sec. 2, Kuang-Fu Road, Hsinchu, 30013, Taiwan. Electronic address:
In clinical boron neutron capture therapy (BNCT), the distribution of dose to a heterogeneous medium that is predicted by a treatment planning system (TPS) should be experimentally validated. A head phantom specifically developed for this purpose is described and demonstrated herein. The cylindrical phantom exhibits distinct regions made from four materials (polymethyl methacrylate, calcium phosphate, air, and boric acid) to approximate a head structure with explicitly defined skin, skull, and brain tissue with a cavity and tumor within.
View Article and Find Full Text PDFHeliyon
January 2025
School of Computer Science and Technology, Xidian University, Xi'an, 710071, China.
Based on the application demand of metal-organic framework (MOFs) materials in environmental science, energy conversion, biomedicine and other fields, its efficient synthesis method has attracted much attention. Microwave method has become one of the most competitive and potential methods because of its low cost, high efficiency and green environmental protection. However, the traditional microwave assisted synthesis of MOFs materials mostly uses microwave oven as the reaction chamber, or small-scale microwave reactor.
View Article and Find Full Text PDFACS Omega
January 2025
Interdisciplinary Research Center for Refining & Advanced Chemicals, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia.
Efficient and selective oxidative dehydrogenation (ODH) catalysts are crucial to advance the production of valuable petrochemicals. In this study, we leverage the power of machine learning to predict dehydrogenation (DH) product yield and unravel the factors influencing the product distribution. A comprehensive data set obtained from experiments conducted in a fixed-bed reactor under varying temperatures, feed ratios (O/-butane), and metal oxide loadings (Ni, Fe, Co, Bi, Mo, W, Zn, and Mn) on an aluminum oxide support served as the basis for model development.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!