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231227s2024 xx |||||o 00| ||eng c |
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|a 10.1080/09593330.2023.2285258
|2 doi
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|a pubmed24n1577.xml
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|a (NLM)38100606
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|a DE-627
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|e rakwb
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|a eng
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|a Zeng, Shangjing
|e verfasserin
|4 aut
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|a Precise determination of the total nitrogen content in activated sludge by ultrasonic pre-treatment assisted wet method
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|c 2024
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
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|2 rdamedia
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|a ƒa Online-Ressource
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|a Date Completed 23.10.2024
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|a Date Revised 23.10.2024
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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|a The study proposed a method for determining total nitrogen (TN) content in activated sludge by ultrasound pre-treatment assisted wet method. Based on the single-factor experiment, with the TN content as the response value, the response surface methodology was employed to examine the individual and interactive effects of three factors: the dilution multiple of the sludge mixture, ultrasonic time, and ultrasonic power. At the same time, the physico-chemical parameters and the digestion-oxidation parameters were optimised. The results indicated that the optimal parameters were as follows; sludge dilution multiple of 225 times, stirring rate of 400 r/min, ultrasonic time of 22 minutes, ultrasonic power of 720 W, and optimal added volume of potassium persulfate at 8 mL with a digestion time of 40 minutes. The relative standard deviation (RSD) for the parallel determination of TN in sludge samples using ultrasonic pre-treatment assisted wet method was ≤2.77%, with a spike recovery rate of 98.49-101.43%. The method, ultrasonic pre-treatment assisted wet method to determine TN concentration in activated sludge, was simpler to operate, more accurate
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|a Journal Article
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|a Activated sludge
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|a parameter optimization
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|a response surface analysis
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|a total nitrogen content
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|a ultrasonic pre-treatment
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|a Sewage
|2 NLM
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|a Nitrogen
|2 NLM
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|a N762921K75
|2 NLM
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|a Water Pollutants, Chemical
|2 NLM
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|a Qi, Peng
|e verfasserin
|4 aut
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|a Ai, Shengshu
|e verfasserin
|4 aut
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|a Sun, Xuejian
|e verfasserin
|4 aut
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|a Kang, Hua
|e verfasserin
|4 aut
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|a Bian, Dejun
|e verfasserin
|4 aut
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|i Enthalten in
|t Environmental technology
|d 1993
|g 45(2024), 25 vom: 25. Okt., Seite 5233-5243
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|x 1479-487X
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|g volume:45
|g year:2024
|g number:25
|g day:25
|g month:10
|g pages:5233-5243
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|u http://dx.doi.org/10.1080/09593330.2023.2285258
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