Surface-enhanced near-infrared absorption (SENIRA) of C-H and N-H groups with gold nanoarray

2020 ◽  
Author(s):  
Daler R. Dadadzhanov ◽  
Tigran A. Vartanyan ◽  
Antonina I. Dadadzhanova ◽  
Alina Karabchevsky
Keyword(s):  
Infrared Absorption ◽  
Near Infrared ◽  
Surface Enhanced

Surface-enhanced near-infrared absorption (SENIRA) spectroscopy

2016 ◽  
Author(s):  
Wei-Chuan Shih ◽  
Fusheng Zhao ◽  
Ousamma Zenasni ◽  
Masud Arnob ◽  
Yulung Sung
Keyword(s):  
Infrared Absorption ◽  
Near Infrared ◽  
Surface Enhanced

Study on the Near-infrared Absorption Properties of ZnGeP2 Single Crystals

2010 ◽  
Vol 25 (10) ◽  
pp. 1029-1033
Author(s):  
Shi-Xing XIA ◽  
Chun-Hui YANG ◽  
Chong-Qiang ZHU ◽  
Tian-Hui MA ◽  
Meng WANG ◽  
...  
Keyword(s):  
Single Crystals ◽  
Infrared Absorption ◽  
Near Infrared ◽  
Absorption Properties

Pyrrole-bridged quinones: π-electronic systems that modulate electronic structures by tautomerism and deprotonation

2021 ◽  
Author(s):  
Shinya Sugiura ◽  
Hiromitsu Maeda
Keyword(s):  
Infrared Absorption ◽  
Electronic Structures ◽  
Near Infrared ◽  
Ion Pairing ◽  
Anion Binding ◽  
Electronic Systems

A new series of π-extended quinone derivatives containing a pyrrole bridge exhibited NH/OH-type tautomerization and anion binding along with deprotonation that induced near-infrared absorption and ion-pairing assemblies.

scholarly journals Characterization and mapping of hematite ore mineral classes using hyperspectral remote sensing technique: a case study from Bailadila iron ore mining region

2021 ◽  
Vol 3 (2) ◽  
Author(s):  
Ibrahim Shaik ◽  
S. K. Begum ◽  
P. V. Nagamani ◽  
Narayan Kayet
Keyword(s):  
Infrared Absorption ◽  
Near Infrared ◽  
Spectral Feature ◽  
Absorption Feature ◽  
X Ray ◽  
Remote Sensing Technique ◽  
Ore Minerals ◽  
Feature Fitting ◽  
Hematite Ore

AbstractThe study demonstrates a methodology for mapping various hematite ore classes based on their reflectance and absorption spectra, using Hyperion satellite imagery. Substantial validation is carried out, using the spectral feature fitting technique, with the field spectra measured over the Bailadila hill range in Chhattisgarh State in India. The results of the study showed a good correlation between the concentration of iron oxide with the depth of the near-infrared absorption feature (R2 = 0.843) and the width of the near-infrared absorption feature (R2 = 0.812) through different empirical models, with a root-mean-square error (RMSE) between < 0.317 and < 0.409. The overall accuracy of the study is 88.2% with a Kappa coefficient value of 0.81. Geochemical analysis and X-ray fluorescence (XRF) of field ore samples are performed to ensure different classes of hematite ore minerals. Results showed a high content of Fe > 60 wt% in most of the hematite ore samples, except banded hematite quartzite (BHQ) (< 47 wt%).

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