Nuclear magnetic resonance spectroscopy

Jelinski, Lynn W.

doi:10.1021/ac00211a017

Cited by 80 publications

(3 citation statements)

References 334 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As shown in ref 26 the 2D MAS-NMR spectrum S(wu w2) can then likewise be expanded into a series of 2D subspectra S;(a>1( w2), from which the moments of the ODF are directly obtained via 2/ + 1 iS(«i, «2) = X " ~9~( Pi)Si((>ii, w2) (14) i 8x2…”

Section: A Determination Of Orientational Distribution Functionsmentioning

confidence: 99%

Structure and dynamics of solid polymers from 2D- and 3D-NMR

Spiess¹

1991

Chem. Rev.

124

View full text Add to dashboard Cite

Section: A Determination Of Orientational Distribution Functionsmentioning

confidence: 99%

Structure and dynamics of solid polymers from 2D- and 3D-NMR

Spiess¹

1991

Chem. Rev.

124

View full text Add to dashboard Cite

“…Intense research efforts in the past have led to the development of several sophisticated analytical and measurement techniques, broad and vast in types, applications and methods. Several thorough review papers detail thousands of papers in the field in the past two decades [1][2][3]. A subset of chemical sensors are electrochemical (EC) sensors, which have two principal modes of electroanalytic measurement: potentiometric and amperometric [4].…”

Section: Introductionmentioning

confidence: 99%

A signal processing framework for simultaneous detection of multiple environmental contaminants

Chakraborty

Manahan

Mench

2013

Meas. Sci. Technol.

View full text Add to dashboard Cite

The possibility of large-scale attacks using chemical warfare agents (CWAs) has exposed the critical need for fundamental research enabling the reliable, unambiguous and early detection of trace CWAs and toxic industrial chemicals. This paper presents a unique approach for the identification and classification of simultaneously present multiple environmental contaminants by perturbing an electrochemical (EC) sensor with an oscillating potential for the extraction of statistically rich information from the current response. The dynamic response, being a function of the degree and mechanism of contamination, is then processed with a symbolic dynamic filter for the extraction of representative patterns, which are then classified using a trained neural network. The approach presented in this paper promises to extend the sensing power and sensitivity of these EC sensors by augmenting and complementing sensor technology with state-of-the-art embedded real-time signal processing capabilities.

show abstract

“…The morphologies of ZnO nanoparticles, nanorods, nanobeads, aligned nanorods, cabbage leaf have been investigated for their gas sensor properties. The gas response and operating temperature of the sensor is mainly depends on materials active surface area, porosity, stoichiometry, defects concentration, crystal orientation, catalytic activity, bond ionicity and work function [5,6]. Three dimensional (3D) hierarchical branching nanowire structures offer a better opportunity while in gas sensor because of large specific surface area [7].…”

Section: Introductionmentioning

confidence: 99%