scholarly journals Synthesizing and Characterizing the Hybrid Pigment Fe 0.7 Cr1.3 O3 With High NIR Reflectance for Sustainable Energy Saving Applications

2021 ◽  
Author(s):  
Ghazal Mobarhan ◽  
Alireza Souri ◽  
Seyed Kasra Seyed Mostafavi ◽  
Mehdi Ghahari ◽  
Mahdi Safi
Keyword(s):  
Energy Saving ◽  
Near Infrared ◽  
Particle Morphology ◽  
Silica Coating ◽  
World Population ◽  
Meaningful Improvement ◽  
Reflection Property ◽  
Ir Reflection ◽  
Infrared Reflection ◽  
Ir Reflectance

Abstract Today, a growing number of the world population face a rise in the cost of living, especially an increase in energy costs. That is why Energy-saving has become a vital issue. In this regard, one of the remarkable ways to reduce energy consumption is using cool pigments; therefore, many kinds of research have been done to improve pigments' infrared reflection capability. In this paper, the role of particle morphology was investigated to boost the infrared reflection property of iron-chromium-based pigments. For this purpose, a series of inorganic pigments based on the Fe0.7Cr1.3O3 formula was prepared via a hydrothermal method. The particles' morphology was altered by using surfactants to improve the pigments' reflecting properties. The IR reflectance results proved that the flaky particles exhibit an enhanced IR reflection, which is significantly higher than in the spherical one. Furthermore, the results have revealed that silica coating leads to a meaningful improvement in the IR reflection property. It was found that the maximum near-infrared solar reflectance of the sample with 2.63% succinic acid surfactant and silica coating was 52.23% compared to that of Fe0.7Cr1.3O3, which was 25.36%.

Study on Preparation and Near-Infrared Reflective Properties of NaZnPO4

2011 ◽  
Vol 399-401 ◽  
pp. 1289-1293
Author(s):  
Ming Feng Zhong ◽  
Wen Xiang Fu ◽  
Wang Da ◽  
Da Gen Su
Keyword(s):  
Heat Treatment ◽  
Near Infrared ◽  
Raw Materials ◽  
Heat Treating ◽  
Treatment Temperature ◽  
Precipitation Method ◽  
Anhydrous Sodium Carbonate ◽  
Reflection Property ◽  
Infrared Reflection ◽  
Co Precipitation

NaZnPO4was prepared by heat-treating precursor with Zn(NO3)2٠6H2O、H3PO4and anhydrous sodium carbonate as raw materials by co-precipitation method, and it was characterized with UV/VIS spectrophotometer、X-ray diffraction (XRD). The experiment results shown that the near-infrared reflection property of NaZnPO4was very good. when the heat treatment temperature of preparation of NaZnPO4was range from 400°C to 800°C, near-infrared reflection properties of products were similar. Among them, the products with the heat treatment of 600°C has the best near-infrared reflection property,which is reached up to 95.2% in average,while the near-infrared reflection of TiO2is 74.1% in average.

Tungsten Suboxide Nanoneedles as an Effective Thermal Shield through Near-Infrared Reflection and Absorption

2021 ◽  
Author(s):  
Jiaxin Yan ◽  
Ashutosh Rath ◽  
Hongyu Wang ◽  
Zhen Quan Cavin Ng ◽  
Stephen J. Pennycook ◽  
...  
Keyword(s):  
Near Infrared ◽  
Thermal Shield ◽  
Infrared Reflection

scholarly journals Application of Artificial Intelligence in Food Industry—a Guideline

2021 ◽  
Author(s):  
Nidhi Rajesh Mavani ◽  
Jarinah Mohd Ali ◽  
Suhaili Othman ◽  
M. A. Hussain ◽  
Haslaniza Hashim ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Intelligent Systems ◽  
Food Industry ◽  
Near Infrared ◽  
Vision System ◽  
Electronic Tongue ◽  
World Population ◽  
Computer Vision System ◽  
The Past

AbstractArtificial intelligence (AI) has embodied the recent technology in the food industry over the past few decades due to the rising of food demands in line with the increasing of the world population. The capability of the said intelligent systems in various tasks such as food quality determination, control tools, classification of food, and prediction purposes has intensified their demand in the food industry. Therefore, this paper reviews those diverse applications in comparing their advantages, limitations, and formulations as a guideline for selecting the most appropriate methods in enhancing future AI- and food industry–related developments. Furthermore, the integration of this system with other devices such as electronic nose, electronic tongue, computer vision system, and near infrared spectroscopy (NIR) is also emphasized, all of which will benefit both the industry players and consumers.

Characterization of solid inorganic and coordination compounds by their near infrared reflection spectra

1966 ◽  
Vol 19 (10) ◽  
pp. 1785 ◽  
Author(s):  
AF Reid
Keyword(s):  
Coordination Compounds ◽  
Near Infrared ◽  
Organometallic Compounds ◽  
Reflection Spectra ◽  
Convenient Means ◽  
Infrared Reflection ◽  
Number Of Classes

The near infrared combination spectra of a number of classes of solid inorganic and coordination compounds have been recorded and assigned. The spectra are shown to be typical of particular ligands regardless of the compounds in which they are contained, and to serve as an experimentally convenient means of characterization of solid coordination or organometallic compounds.

Non-Invasive Blood Glucose Monitoring by Means of near Infrared Spectroscopy: Methods for Improving the Reliability of the Calibration Models

1997 ◽  
Vol 20 (5) ◽  
pp. 285-290 ◽  
Author(s):  
U.A. Müller ◽  
B. Mertes ◽  
C. Fischbacher ◽  
K.U. Jageman ◽  
K. Danzer
Keyword(s):  
Blood Glucose ◽  
Near Infrared ◽  
Glucose Monitoring ◽  
Blood Glucose Monitoring ◽  
Least Squares Regression ◽  
Non Invasive ◽  
Infrared Reflection ◽  
Calibration Models ◽  
Infrared Reflection Spectroscopy

The feasibility of using near infrared reflection spectroscopy for non-invasive blood glucose monitoring is discussed. Spectra were obtained using a diode-array spectrometer with a fiberoptic measuring head with a wavelength ranging from 800 nm to 1350 nm. Calibration was performed using partial least-squares regression and radial basis function networks. The results of different methods used to evaluate the quality of the recorded spectra in order to improve the reliability of the calibration models, are presented.

scholarly journals Mid and Near-Infrared Reflection Spectral Database of Natural Organic Materials in the Cultural Heritage Field

2018 ◽  
Vol 2018 ◽  
pp. 1-16 ◽  
Author(s):  
Claudia Invernizzi ◽  
Tommaso Rovetta ◽  
Maurizio Licchelli ◽  
Marco Malagodi
Keyword(s):  
Near Infrared ◽  
Organic Materials ◽  
Protective Coatings ◽  
Total Reflection ◽  
Reflection Mode ◽  
Novel Approach ◽  
Infrared Reflection ◽  
Detailed Interpretation ◽  
Materials Used ◽  
Spectral Database

This study presents mid and near-infrared (7500-375 cm−1) total reflection mode spectra of several natural organic materials used in artworks as binding media, consolidants, adhesives, or protective coatings. A novel approach to describe and interpret reflectance bands as well as calculated absorbance after Kramers-Kronig transformation (KKT) is proposed. Transflection mode spectra have represented a valuable support both to study the distorted reflectance bands and to validate the applicability and usefulness of the KK correction. The aim of this paper is to make available to scientists and conservators a comprehensive infrared reflection spectral database, together with its detailed interpretation, as a tool for the noninvasive identification of proteins, lipids, polysaccharides, and resins by means of portable noncontact FTIR spectrometers.

scholarly journals Characterization of conichalcite by SEM, FTIR, Raman and electronic reflectance spectroscopy

2005 ◽  
Vol 69 (2) ◽  
pp. 155-167 ◽  
Author(s):  
B. J. Reddy ◽  
R. L. Frost ◽  
W. N. Martens
Keyword(s):  
Near Infrared ◽  
Adsorbed Water ◽  
Reflectance Spectroscopy ◽  
Sem Images ◽  
X Ray ◽  
Near Ir ◽  
Ir Reflectance ◽  
Yavapai County ◽  
Ir Bands

AbstractThe mineral conichalcite from the western part of Bagdad mine, Bagdad, Eureka District, Yavapai County, Arizona, USA has been characterized by electronic, near-infrared (NIR), Raman and infrared (IR) spectroscopy. Scanning electron microscopy (SEM) images show that the mineral consists of bundles of fibres. Calculations based on the results of the energy dispersive X-ray analyses on a stoichiometric basis show the substitution of arsenate by 12 wt.% of phosphate in the mineral. Raman and IR bands are assigned in terms of the fundamental modes of AsO43− and PO43− molecules and are related to the mineral structure. Near-IR reflectance spectroscopy shows the presence of adsorbed water and hydroxyl units in the mineral. The Cu(II) coordination polyhedron in conichalcite can have at best pseudo-tetragonal geometry. The crystal field and tetragonal field parameters of the Cu(II) complex were calculated and found to agree well with the values reported for known tetragonal distortion octahedral complexes.

scholarly journals DISCRIMINATION OF VARIETY AND AUTHENTICITY FOR RICE BASED ON VISUAL/NEAR INFRARED REFLECTION SPECTRA

2009 ◽  
Vol 28 (5) ◽  
pp. 353-356 ◽  
Author(s):  
Liang LIANG ◽  
Zhi-Xiao LIU ◽  
Min-Hua YANG ◽  
You-Xiang ZHANG ◽  
Cheng-Hua WANG
Keyword(s):  
Near Infrared ◽  
Reflection Spectra ◽  
Infrared Reflection

Development of novel technological approaches for a reliable crop characterization under changing environmental conditions

NIR news ◽  
2020 ◽  
Vol 31 (7-8) ◽  
pp. 14-19
Author(s):  
Omar Vergara-Díaz ◽  
Shawn Kefauver ◽  
José Luis Araus ◽  
Iker Aranjuelo
Keyword(s):  
Precision Agriculture ◽  
Grain Quality ◽  
Near Infrared ◽  
Reflectance Spectroscopy ◽  
Grain Protein ◽  
World Population ◽  
Infrared Reflectance ◽  
Near Infrared Reflectance Spectroscopy ◽  
Near Infrared Reflectance ◽  
Infrared Reflectance Spectroscopy

The expansion of world population requires the development of new strategies and tools for agriculture. Extensive breeding and agronomic efforts over the past 50 years have been responsible for tripling cereal yields, while advances in grain quality have been less evident. Continuing advances in the techniques available to breeders offer the potential to increase the rate of genetic improvement aiming to develop resilient crop and better (more resource use efficient) varieties. Plant breeders want to be able to phenotype large numbers of lines rapidly and accurately identify the best progeny. For this purpose, different methodological approaches have been proposed to evaluate these traits in the field: (1) proximal (remote) sensing and imaging, (2) laboratory analyses of samples, and (3) lab-based near-infrared reflectance spectroscopy analysis in the harvestable part of the crop. However, near-infrared reflectance spectroscopy-based field evaluation of yield and grain quality is currently a real option. Thus the development of new technological approaches, such as the use of hyperspectral imaging sensors or near-infrared reflectance spectroscopy under field conditions may be critical as a phenotypic approach for efficient breeding as well as in field management of crops. This article reports the description of the CropYQualT-CEC project funded by the H2020-MSCA-RISE program. This project pursues the main objective of generating a common solid knowledge basis within the context of precision agriculture and digital farming. Further, within the project context, the article also provides a case study in which prediction models for total grain protein content, based on the reflectance spectrum of wheat canopies, are presented. Measurements were performed at around anthesis, using a full range near-infrared reflectance spectroscopy field spectrometer. Several models explaining >60% of grain protein variance in field trials illustrate the predictive capacity and robustness of this methodology for inferring grain quality traits well in advance of harvest.

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