RESUMEN
The effects of two typical heavy metal ions[Cu(â ¡) and Ni(â ¡)] and humic acid on ANAMMOX nitrogen removal (SAA) were studied through batch experiments, and the kinetic model was analyzed. At the same time, the effects of humic acid-heavy metal on ANAMMOX nitrogen removal were discussed. The results showed that ANAMMOX was promoted when ρ[Cu(â ¡)] and ρ[Ni(â ¡)] were 3 mg·L-1, and SAA was increased by 8.64% and 7.78%, respectively; ANAMMOX was inhibited when the ρ[Cu(â ¡)] and ρ[Ni(â ¡)] were 20 mg·L-1 and 5 mg·L-1, respectively, and the inhibition effect was more significant with the increase in heavy metal ion concentration. The index fitting showed that the IC50 of Cu(â ¡) and Ni(â ¡) on ANAMMOX were 29.67 mg·L-1 and 28.75 mg·L-1, respectively. SAA was increased by 7.37% when the ρ(humic acid) was 1 mg·L-1, and the inhibition rate reached 36.80% when the humic acid concentration was 40 mg·L-1. The linear fitting showed that the IC50 of humic acid on ANAMMOX was 58.36 mg·L-1. The modified Michaelis-Menten model could better describe the inhibitory kinetic behavior of heavy metals and humic acid on ANAMMOX. The model fitting showed that the complete inhibition concentrations (I*) of Cu(â ¡), Ni(â ¡), and humic acid on ANAMMOX were 49.59, 74.46, and 84.27 mg·L-1, respectively. An appropriate amount of humic acid was beneficial to improve the inhibition of heavy metals on ANAMMOX bacteria activity, and excessive humic acid would cause inhibition on ANAMMOX bacteria again.
Asunto(s)
Metales Pesados , Nitrógeno , Oxidación Anaeróbica del Amoníaco , Anaerobiosis , Bacterias , Reactores Biológicos/microbiología , Desnitrificación , Sustancias Húmicas , Cinética , Oxidación-ReducciónRESUMEN
AIM: To evaluate the changes in fundus parameters in patients with Alzheimer's type dementia (ATD) using optical coherence tomography angiography (OCTA), to record flash electroretinograms (ERG) using the RETeval system and to explore changes in retinal function. METHODS: Twenty-nine patients with ATD and 26 age-matched normal subjects were enrolled. All subjects underwent OCTA scans to analyse the superficial retinal vessel parameters in the macular area, including the vessel length density, the vessel perfusion density and the area of foveal avascular zone (FAZ), as well as the choroidal thickness. The differences between the patients with ATD and the normal control group were compared and explored the relevant factors affecting vessel parameters. We also recorded the flash ERGs using the RETeval system and intended to explore changes in retinal function by analysing the ERG image amplitude in patients with ATD. RESULTS: The vessel parameters [P vessel length density=0.005 and P vessel perfusion density=0.006) and average choroid thickness (P<0.001) in the macular area of the ATD group was less than the control group. The FAZ area was statistically significantly enlarged in the ATD group (P<0.001). These parameters were correlated with the Mini-Mental State Examination (MMSE) score and the Montreal Cognitive Assessment (MoCA). CONCLUSION: Patients with ATD exhibit decreases in the parameters associated with fundus. In addition, these indicators significantly correlate with the MMSE score and the MoCA score. OCTA may be an adjunct tool with strong potential to track changes in the diagnosis and monitoring the progression of the disease.
RESUMEN
Active sludge was from a pilot-scale synthetic ammonia industrial wastewater treatment plant with a strengthen anoxic-oxic (A/O) technology. The zero order kinetic model was suit for describing shortcut and complete denitrification process. Experimental results showed that shortcut denitrification could reduce 14.1% carbon source consumption and 55.7% denitrification time, respectively, comparing with complete denitrification. The maximum specific denitrification rate was 0.509 g x (g x d)(-1) with an initial NO2(-) -N concentration of 36.82 mg x L(-1) and pH 7.5. In the industrial practice, it must be avoided pH higher than 9.0 in anoxic zone for industrial treatment. Replication-selective denitrifying bacteria showed a strong adaptability to methanol and ethanol, but showed maladaptation to other small molecular and easily biodegradable organics, such as glucose and acetic acid.