scholarly journals Selection of an Appropriate Depressant in Flotation Separation of Molybdenum Oxide from Fluorapatite

Minerals ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. 1110
Author(s):  
Jiandong Liu ◽  
Binbin Peng ◽  
Liping Zhao ◽  
Fengwei Bai ◽  
Zhiwu Lei
Keyword(s):  
Infrared Spectroscopy ◽  
Molybdenum Oxide ◽  
Physical Adsorption ◽  
Cetylpyridinium Chloride ◽  
Sodium Hexametaphosphate ◽  
Laboratory Measurements ◽  
Depression Effect ◽  
Flotation Recovery ◽  
Mineral Flotation ◽  
Selection Of

The depressive efficiency of sodium silicate, sodium hexametaphosphate, and tartaric acid on the flotation separation of molybdenum oxide from fluorapatite were examined using cetylpyridinium chloride (CPC) as the collector. The corresponding depression mechanisms of all three depressants were studied with the use of laboratory measurements. Individual mineral flotation tests and adsorption studies showed that all these depressants have a higher depression effect on fluorapatite than molybdenum oxide. Sodium hexametaphosphate has the strongest depression effect on fluorapatite and can reduce the flotation recovery as low as less than 20%. Infrared spectroscopy and zeta potential tests proved the rationality of the flotation results, indicating that when CPC was used as a collector, the effect of sodium hexametaphosphate on the surface of molybdenum oxide was smaller than that on fluorapatite. The adsorption of hexametaphosphate on the surface of fluorapatite was determined to be physical adsorption.

Fourier-Transform Infrared Spectroscopy of Environmentally Weathered Textile Fabrics for Enhanced Microplastic Identification

2021 ◽  
Author(s):  
Shreyas Patankar ◽  
Ekaterina Vassilenko ◽  
Mathew Watkins ◽  
Anna Posacka ◽  
Peter Ross
Keyword(s):  
Fourier Transform ◽  
Infrared Spectroscopy ◽  
Fourier Transform Infrared Spectroscopy ◽  
Infrared Spectra ◽  
Environmental Fate ◽  
Uv Light ◽  
Natural Fibers ◽  
Fourier Transform Infrared ◽  
Ambient Conditions ◽  
Selection Of

<p>Microplastic pollution in oceans is among the global environmental concerns of our time. Emerging research on ocean environments indicates that microfibers, such as those originating from textiles, are some of the most commonly occurring type of microplastic contaminants. While Fourier-transform infrared spectroscopy (FTIR) is commonly used to identify and characterize pollutant samples obtained from the environment, this identification is challenging because infrared spectra of materials can be modified by exposure to the ocean, air, UV light, and other ambient conditions, in a process referred to as “weathering”. We report preliminary efforts in improving FTIR characterization of microplastics by building a library of infrared spectra of common textile fibers weathered under a selection of ambient conditions. Consumer textile materials including polyester, nylon, cotton, and other, were exposed to a selection of ambient conditions: ocean, air, and wastewater treatment stages, in a controlled weathering experiment. Infrared spectra were monitored for up to 52 weeks, with the resulting data illuminating on the environmental fate and longevity of synthetic and natural fibers. Spectral changes caused by weathering were found to depend strongly on both the composition of the material and the specific ambient conditions. This library of weathered material spectra is useful not only in easier identification of environmental microfibers, but also in helping us estimate the duration and manner of weathering that a given environmental microfiber may have experienced.</p>

scholarly journals Chondroitin Sulfate: A Critical Review of Generic and Specific Problems in Its Characterization and Determination—An Exemplar of a Material with an Unknown or Variable Composition (UVCB)

2018 ◽  
Vol 101 (1) ◽  
pp. 196-202 ◽  
Author(s):  
Duncan Thorburn Burns ◽  
Michael John Walker ◽  
Christopher Mussell
Keyword(s):  
Chondroitin Sulfate ◽  
Critical Review ◽  
Analytical Methods ◽  
Cetylpyridinium Chloride ◽  
Variable Composition ◽  
Reference Samples ◽  
Selection Of ◽  
Chondroitin Sulfate A

Abstract This review discusses the criteria for the selection of appropriate reference samples of chondroitin sulfate (CS) and the properties and specific problems of analytical methods for CS, namely titration with cetylpyridinium chloride; various separations; and UV-Vis, NMR, MS, and IR spectroscopies. Suggestions are put forward with regard to acceptable protocols for manufactures’ and for official/referee analysts for the analysis of CS in products.

scholarly journals Selection of optimal conversion path for willow biomass assisted by near infrared spectroscopy

2017 ◽  
Vol 10 (2) ◽  
pp. 506-514 ◽  
Author(s):  
A Sandak ◽  
J Sandak ◽  
B Waliszewska ◽  
M Zborowska ◽  
M Mleczek
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Selection Of

A novel DPSO-SVM system for variable interval selection of endometrial tissue sections by near infrared spectroscopy

Talanta ◽  
2013 ◽  
Vol 112 ◽  
pp. 136-142 ◽  
Author(s):  
Guiyun Wang ◽  
Mingyu Ma ◽  
Zhuoyong Zhang ◽  
Yuhong Xiang ◽  
Peter de B. Harrington
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Variable Interval ◽  
Endometrial Tissue ◽  
Tissue Sections ◽  
Interval Selection ◽  
Selection Of

The Influences and the Mechanism of Action of Sodium Hexametaphosphate during Micro Fine Particle of Lean Hematite Ore of Grinding Operation

2014 ◽  
Vol 641-642 ◽  
pp. 469-473
Author(s):  
Bing Liang ◽  
Li Bing Zhao ◽  
Miao Miao Han ◽  
Hao Zhang ◽  
Qing Feng Zhang ◽  
...  
Keyword(s):  
Citric Acid ◽  
Surface Potential ◽  
Mechanism Of Action ◽  
Fine Particle ◽  
Physical Adsorption ◽  
Sodium Hexametaphosphate ◽  
Chemical Adsorption ◽  
Hematite Ore ◽  
Grinding Efficiency

In this paper, the effect of sodium hexametaphosphate on the hematite was studied and the mechanism was analyzed. The results indicated that under the condition of the optimal grinding medium, compared with the result without sodium hexametaphosphate added, with citric acid added at the mass of 0.30% of the hematite, the content of-0.074mm of grinding production was increased by 6.38%; physical adsorption and chemical adsorption which were on the surface of hematite produced by sodium hexametaphosphate can reduce viscosity of grinding pulp, change surface potential of the hematite, and reduce the hardness on the surface of the hematite. Therefore citric acid can improve the grinding efficiency of the hematite.

scholarly journals Protein, weight, and oil prediction by single-seed near-infrared spectroscopy for selection of seed quality and yield traits in pea (Pisum sativum).

2020 ◽  
Author(s):  
Gokhan Hacisalihoglu ◽  
Jelani Freeman ◽  
Paul R. Armstrong ◽  
Brad W. Seabourn ◽  
Lyndon D. Porter ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Pisum Sativum ◽  
Protein Content ◽  
Near Infrared Spectroscopy ◽  
Seed Weight ◽  
Oil Content ◽  
Near Infrared ◽  
Seed Quality ◽  
Single Seed ◽  
Selection Of

Abstract Background: Pea (Pisum sativum) is a prevalent cool season crop that produces seeds valued for high protein content. Modern cultivars have incorporated several traits that improved harvested yield. However, progress toward improving seed quality has received less emphasis, in part due to the lack of tools for easily and rapidly measuring seed traits. In this study we evaluated the accuracy of single-seed near-infrared spectroscopy (NIRS) for measuring pea seed weight, protein, and oil content. A total of 96 diverse pea accessions were analyzed using both single-seed NIRS and wet chemistry methods. To demonstrate field relevance, the single-seed NIRS protein prediction model was used to determine the impact of seed treatments and foliar fungicides on protein content of harvested dry peas in a field trial. Results: External validation of Partial Least Squares (PLS) regression models showed high prediction accuracy for protein and weight (R2 = 0.94 for both) and less accuracy for oil (R2 = 0.75). Single seed weight was not significantly correlated with protein or oil content in contrast to previous reports. In the field study, the single-seed NIRS predicted protein values were within 1% of an independent analytical reference measurement and were sufficiently precise to detect small treatment effects. Conclusion: The high accuracy of protein and weight estimation show that single-seed NIRS could be used in the dual selection of high protein, high weight peas early in the breeding cycle allowing for faster genetic advancement toward improved pea nutritional quality.

Sign in / Sign up

Export Citation Format

Share Document