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Title: Rapid estimation of organic nitrogen in oil shale waste waters

Abstract

Many of the characteristics of oil shale process waste waters (e.g., malodors, color, and resistance to biotreatment) are imparted by numerous nitrogenous heterocycles and aromatic amines. For the frequent performance assessment of waste treatment processes designed to remove these nitrogenous organic compounds, a rapid and colligative measurement of organic nitrogen is essential. Quantification of organic nitrogen in biological and agricultural samples is usually accomplished using the time-consuming, wet-chemical Kjeldahl method. For oil shale waste waters, whose primary inorganic nitorgen constituent is amonia, organic Kjeldahl nitrogen (OKN) is determined by first eliminating the endogenous ammonia by distillation and then digesting the sample in boiling H/sub 2/SO/sub 4/. The organic material is oxidized, and most forms of organically bound nitrogen are released as ammonium ion. After the addition of base, the ammonia is separated from the digestate by distillation and quantified by acidimetric titrimetry or colorimetry. The major failings of this method are the loss of volatile species such as aliphatic amines (during predistillation) and the inability to completely recover nitrogen from many nitrogenous heterocycles (during digestion). Within the last decade, a new approach has been developed for the quantification of total nitrogen (TN). The sample is first combusted, a

Authors:
; ;
Publication Date:
Research Org.:
Lawrence Berkeley Laboratory, University of California, Berkeley, California
OSTI Identifier:
6191552
Report Number(s):
CONF-8404121-
Journal ID: CODEN: OSSPD
Resource Type:
Conference
Journal Name:
Oil Shale Symp. Proc.; (United States)
Additional Journal Information:
Conference: 17. oil shale symposium, Golden, CO, USA, 16 Apr 1984
Country of Publication:
United States
Language:
English
Subject:
04 OIL SHALES AND TAR SANDS; 040900* - Oil Shales & Tar Sands- Waste management

Citation Formats

Jones, B M, Daughton, C G, and Harris, G J. Rapid estimation of organic nitrogen in oil shale waste waters. United States: N. p., 1984. Web.
Jones, B M, Daughton, C G, & Harris, G J. Rapid estimation of organic nitrogen in oil shale waste waters. United States.
Jones, B M, Daughton, C G, and Harris, G J. Sun . "Rapid estimation of organic nitrogen in oil shale waste waters". United States.
@article{osti_6191552,
title = {Rapid estimation of organic nitrogen in oil shale waste waters},
author = {Jones, B M and Daughton, C G and Harris, G J},
abstractNote = {Many of the characteristics of oil shale process waste waters (e.g., malodors, color, and resistance to biotreatment) are imparted by numerous nitrogenous heterocycles and aromatic amines. For the frequent performance assessment of waste treatment processes designed to remove these nitrogenous organic compounds, a rapid and colligative measurement of organic nitrogen is essential. Quantification of organic nitrogen in biological and agricultural samples is usually accomplished using the time-consuming, wet-chemical Kjeldahl method. For oil shale waste waters, whose primary inorganic nitorgen constituent is amonia, organic Kjeldahl nitrogen (OKN) is determined by first eliminating the endogenous ammonia by distillation and then digesting the sample in boiling H/sub 2/SO/sub 4/. The organic material is oxidized, and most forms of organically bound nitrogen are released as ammonium ion. After the addition of base, the ammonia is separated from the digestate by distillation and quantified by acidimetric titrimetry or colorimetry. The major failings of this method are the loss of volatile species such as aliphatic amines (during predistillation) and the inability to completely recover nitrogen from many nitrogenous heterocycles (during digestion). Within the last decade, a new approach has been developed for the quantification of total nitrogen (TN). The sample is first combusted, a},
doi = {},
journal = {Oil Shale Symp. Proc.; (United States)},
number = ,
volume = ,
place = {United States},
year = {1984},
month = {4}
}

Conference:
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