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Methodology and application of quant...
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Cavaluzzi, Michael John.
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Methodology and application of quantitative proton nuclear magnetic resonance in deuterium oxide.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Methodology and application of quantitative proton nuclear magnetic resonance in deuterium oxide./
作者:
Cavaluzzi, Michael John.
面頁冊數:
181 p.
附註:
Source: Dissertation Abstracts International, Volume: 64-02, Section: B, page: 0692.
Contained By:
Dissertation Abstracts International64-02B.
標題:
Chemistry, Biochemistry. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3081627
Methodology and application of quantitative proton nuclear magnetic resonance in deuterium oxide.
Cavaluzzi, Michael John.
Methodology and application of quantitative proton nuclear magnetic resonance in deuterium oxide.
- 181 p.
Source: Dissertation Abstracts International, Volume: 64-02, Section: B, page: 0692.
Thesis (Ph.D.)--Syracuse University, 2003.
The thesis describes a protocol for use with 500--600 MHz NMR spectrometers to measure ∼1 mM concentrations within +/-1--3% accuracy. Concentration determinations of biochemical samples often produce results characterized by uncertainties ofSubjects--Topical Terms:
1017722
Chemistry, Biochemistry.
Methodology and application of quantitative proton nuclear magnetic resonance in deuterium oxide.
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Source: Dissertation Abstracts International, Volume: 64-02, Section: B, page: 0692.
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Adviser: Philip N. Borer.
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Thesis (Ph.D.)--Syracuse University, 2003.
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The thesis describes a protocol for use with 500--600 MHz NMR spectrometers to measure ∼1 mM concentrations within +/-1--3% accuracy. Concentration determinations of biochemical samples often produce results characterized by uncertainties of
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The technique was applied towards the establishment of 5' -deoxy- and 5'-ribo -monophosphate nucleotide extinction coefficients with increased accuracy. Determinations averaged integration regions of two or more non-labile protons for each conce
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Nearest Neighbor (NN) approximation methods have been outlined that will help to predict extinction coefficients for double-strand and hairpin molecules. Details for computing extinction coefficients using the NN methodology are fully explained.
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