scholarly journals Improvement of near-infrared (NIR) reflectivity and black color tone by doping Zn2+ into the Ca2Mn0.85Ti0.15O4 structure

RSC Advances ◽  
2019 ◽  
Vol 9 (66) ◽  
pp. 38822-38827
Author(s):  
Ryohei Oka ◽  
Senri Iwasaki ◽  
Toshiyuki Masui
Keyword(s):  
Near Infrared ◽  
Ion Concentration ◽  
Color Tone ◽  
Infrared Reflectivity ◽  
Manganese Ion ◽  
Black Color

The near infrared reflectivity and black color tone of a Ca2Mn0.85Ti0.15O4 pigment were improved by the introduction of strain with Zn2+ doping into the [MnO6] octahedra and a decrease in the manganese ion concentration.

Influence of transition metal ion concentration on near-infrared emission of Ho3+ in barium gallo-germanate glasses

2019 ◽  
Vol 793 ◽  
pp. 107-114 ◽  
Author(s):  
Joanna Pisarska ◽  
Marta Kuwik ◽  
Agata Górny ◽  
Jan Dorosz ◽  
Marcin Kochanowicz ◽  
...  
Keyword(s):  
Transition Metal ◽  
Metal Ion ◽  
Near Infrared ◽  
Infrared Emission ◽  
Ion Concentration ◽  
Transition Metal Ion ◽  
Near Infrared Emission ◽  
Germanate Glasses

scholarly journals A First Step towards Determining the Ionic Content in Water with an Integrated Optofluidic Chip Based on Near-Infrared Absorption Spectroscopy

Optics ◽  
2020 ◽  
Vol 1 (2) ◽  
pp. 175-190
Author(s):  
Gerwin W. Steen ◽  
Adam D. Wexler ◽  
Elmar C. Fuchs ◽  
Herman L. Offerhaus
Keyword(s):  
Absorption Spectroscopy ◽  
Near Infrared ◽  
Early Stage ◽  
Ion Concentration ◽  
Differential Absorption ◽  
Ionic Content ◽  
Stretch Vibration ◽  
Dissolved Ions ◽  
Optofluidic Chip

In this work, we present a feasibility study of integrated optofluidic chips to measure the ionic content in water using differential absorption spectroscopy. The second overtone of the OH-stretch vibration of water is used as indicator for both the type and concentration of the dissolved ions. The optofluidic chips are based on silicon nitride (TripleX) containing Mach–Zehnder interferometers (MZI) with two 5 cm sensing paths for the sample and reference arms, respectively. Simulations show that, theoretically, the determination of both the type and concentration of a mixture of four electrolytes is possible with the techniques presented. However, the performance of the chips deviated from the expected results due to the insufficient reproducibility and precision in the fabrication process. Therefore, at this early stage, the chips presented here could only determine the ion concentration, but not differentiate between the different ion types. Still, this work represents the first steps towards the realization of an online and real-time sensor of ionic content in water.

Molten salt synthesis of YMnO3 powder with high near-infrared reflectivity

2018 ◽  
Vol 229 ◽  
pp. 171-173 ◽  
Author(s):  
Yu Chen ◽  
Yan Ma ◽  
Zhoufu Wang ◽  
Xitang Wang ◽  
Hao Liu ◽  
...  
Keyword(s):  
Molten Salt ◽  
Near Infrared ◽  
Molten Salt Synthesis ◽  
Infrared Reflectivity

High near‐infrared reflectivity modulation with polycrystalline electrochromic WO3films

1983 ◽  
Vol 43 (12) ◽  
pp. 1093-1095 ◽  
Author(s):  
R. B. Goldner ◽  
D. H. Mendelsohn ◽  
J. Alexander ◽  
W. R. Henderson ◽  
D. Fitzpatrick ◽  
...  
Keyword(s):  
Near Infrared ◽  
Infrared Reflectivity

scholarly journals Energy Transfer Between Yb3+- Mn2+ in Zn(Po3 ) 2 Glasses Giving Green, Red and Infrared Light

2020 ◽  
pp. 1-8
Author(s):  
C Flores J ◽  
◽  
J Hernández A ◽  
E Camarillo G ◽  
D Acosta N ◽  
...  
Keyword(s):  
Ion Pairs ◽  
Ion Concentration ◽  
Infrared Light ◽  
Electromagnetic Spectrum ◽  
Manganese Ion ◽  
Α Phase ◽  
Effective Option ◽  
Superexchange Coupling ◽  
Large Wavelength ◽  
Upconversion Process

The Yb3+-Mn2+codoped zinc metaphosphate glass gives rise to several processes such as upconversion, downshifting and double ion absorptions producing light from the visible to the IR wavelengths. These processes are possible since the Mn2+ and the Yb3+ ions replaces the Zn2+ ion in nanoparticles of the α phase of the compound Zn(PO3)2. An important result is that the α structure presence allows the formation of Yb3+-Mn2+ dimers, that gives rise to a superexchange coupling that allows an upconversion process from the IR to the red region of the electromagnetic spectrum. The experimental results also show that these dimers can couple to produce Yb3+ ion pairs that led to a cooperative emission in the green, around 500nm, coupling also the Mn2+ ions that in turn allows to produce a double absorption of this ions in the red region of the electromagnetic spectrum and as well a downshifting process conducting to the Yb3+ emission in the infrared. If the manganese ion concentration is higher than 10% most of these effects are masked. All these results make the material an effective option for different applications, due to the large wavelength variety that can be selected for excitation or emission

Ice Detection Based on Near Infrared Image Analysis

2011 ◽  
Vol 121-126 ◽  
pp. 3960-3964
Author(s):  
Jing Chang Zhuge ◽  
Zhi Jing Yu ◽  
Jian Shu Gao
Keyword(s):  
Near Infrared ◽  
Fiber Composite ◽  
Infrared Image ◽  
Infrared Images ◽  
Carbon Fiber Composite ◽  
Aircraft Wings ◽  
Infrared Reflectivity ◽  
Infrared Image Processing ◽  
Ice Detection ◽  
Variation Trends

In order to detect the ice on aircraft wings, a method based on near infrared image processing is proposed. According to the variety of near-infrared reflectivity, four images of one object are obtained under different detection wavelengths. Water and ice can be distinguished by the different variation trends of near infrared images. In this paper, 1.10μm, 1.16μm, 1.26μm and 1.28μm are selected to be the detection wavelengths. The images of Carbon Fiber Composite material aircraft wings partially covered by water or ice are obtained and analyzed. Parameter D can reflect the variation trend of relative near-infrared reflectivity, so that Parameter D also can be the distinguish basis. The results of the experiment show that the method proposed in this paper is available for ice detection.

Preparation of K2Ti6O13 fibers by electrospinning for near-infrared reflectivity

2019 ◽  
Vol 45 (11) ◽  
pp. 14198-14204
Author(s):  
Xiaotong Jin ◽  
Kangkang Yuan ◽  
Yongshuai Xie ◽  
Chonghe Xu ◽  
Lin Wang ◽  
...  
Keyword(s):  
Near Infrared ◽  
Infrared Reflectivity

Bentonite-Biochar Combination for Manganese Ion Removal from Water

2021 ◽  
Vol 1162 ◽  
pp. 81-86
Author(s):  
Yasdi Yasdi ◽  
Rinaldi Rinaldi ◽  
Wahyu Fajar Winata ◽  
Febri Juita Anggraini ◽  
Ika Yanti ◽  
...  
Keyword(s):  
Contact Time ◽  
Metal Ion ◽  
Room Temperature ◽  
Adsorption Process ◽  
Quality Standard ◽  
Ion Concentration ◽  
Optimum Conditions ◽  
Manganese Ion ◽  
Ion Removal ◽  
Optimum Ph

Peat waters were abundant in the West Tanjung Jabung Regency of Jambi Province. Peat water contains manganese metal ion concentration that exceeds the clean water quality standard. Previous studies have been conducted to reduce levels of manganese in peat water, but the results have not been significant. This study aims to reduce levels of Manganese metal in peat water using the composition of Bentonite and Biochar. The adsorption process was carried out at room temperature (29 °C) with a stirring of 200 rpm. Some parameters measured were optimum pH of adsorption, optimum contact time and the best combination between Bentonite and Biochar. Manganese ion concentration in solution was measured using atomic absorption spectroscopy (AAS). The results of this study indicate that the optimum conditions for removing manganese ion at pH 5 and contact time 40 minutes. Tests on artificial solutions using 0.2 grams of biochar showed Mn ion removal of 42.91% (C0 = 100 mg/L, Ce = 57.09 mg/L, V = 100 mL). The best combination obtained in Bentonite: Biochar (1:2) with a mass of 0.080 gr and 0.170 gr, respectively, which able to remove 91.29% manganese ions in peat water.

Noninvasive determination of exercise-induced hydrodgen ion threshold through direct optical measurement

2008 ◽  
Vol 104 (3) ◽  
pp. 837-844 ◽  
Author(s):  
Babs R. Soller ◽  
Ye Yang ◽  
Stuart M. C. Lee ◽  
Cassie Wilson ◽  
R. Donald Hagan
Keyword(s):  
Gas Exchange ◽  
Blood Lactate ◽  
Near Infrared ◽  
Optical Measurement ◽  
Vastus Lateralis ◽  
Ion Concentration ◽  
Flexor Digitorum Profundus ◽  
Hydrogen Ion Concentration ◽  
Gas Exchange Threshold

The intensity of exercise above which oxygen uptake (V̇o2) does not account for all of the required energy to perform work has been associated with lactate accumulation in the blood (lactate threshold, LT) and elevated carbon dioxide output (gas exchange threshold). An increase in hydrogen ion concentration ([H+]) is approximately concurrent with elevation of blood lactate and CO2 output during exercise. Near-infrared spectra (NIRS) and invasive interstitial fluid pH (pHm) were measured in the flexor digitorum profundus during handgrip exercise to produce a mathematical model relating the two measures with an estimated error of 0.035 pH units. This NIRS pHm model was subsequently applied to spectra collected from the vastus lateralis of 10 subjects performing an incremental-intensity cycle protocol. Muscle oxygen saturation (SmO2) was also calculated from spectra. We hypothesized that a H+ threshold could be identified for these subjects and that it would be different from but correlated with the LT. Lactate, gas exchange, SmO2, and H+ thresholds were determined as a function of V̇o2 using bilinear regression. LT was significantly different from both the gas exchange threshold (Δ = 0.27 ± 0.29 l/min) and H+ threshold (Δ = 0.29 ± 0.23 l/min), but the gas exchange threshold was not significantly different from the H+ threshold (Δ = 0.00 ± 0.38 l/min). The H+ threshold was strongly correlated with LT ( R2 = 0.95) and the gas exchange threshold ( R2 = 0.85). This initial study demonstrates the feasibility of noninvasive pHm estimations, the determination of H+ threshold, and the relationship between H+ and classical metabolic thresholds during incremental exercise.

Metal-based rugate filters with strong visible and near-infrared reflectivity

2012 ◽  
Vol 107 (3) ◽  
pp. 669-673 ◽  
Author(s):  
S. W. Shu ◽  
J. Zhang ◽  
C. K. Tsang ◽  
L. G. Shi ◽  
Y. Y. Li
Keyword(s):  
Near Infrared ◽  
Infrared Reflectivity
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