The Use of Infrared Spectroscopy to Determine the Quality of Carbonate-Rich Diatomite Ores

Guatame-Garcia, Adriana; Buxton, Michael

doi:10.3390/min8030120

Cited by 13 publications

(14 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The FTIR spectra of the heated KBr-pellets are shown in Figure 2. The identification of minerals and absorption bands were performed in accordance with the recommendations of: Farmer [21] and Zviagina et al [22] for glauconite; Madejova and Komadel [23,24] for bentonite; and Smith [25] and Guatame-Garcia and Buxton [26] for diatomite.…”

Section: Mineral Sorbents Characterizationmentioning

confidence: 99%

Cesium Sorption and Desorption on Glauconite, Bentonite, Zeolite, and Diatomite

et al. 2019

View full text Add to dashboard Cite

This study is devoted to studying the sorption of 137Cs on mineral sorbents at a wide pH range, from 2 to 10, as well as to studying sorption mechanisms. In order to obtain the most reliable sorption characteristics, samples of high purity were examined as sorbents: bentonite, glauconite, zeolite, and diatomite. A detailed description of their mineral composition, cation exchange capacity and specific surface of sorbents is given. XRD, XRF, FTIR, SEM, and BET adsorption methods were used for assaying. The sorption and desorption values were identified for each sorbent. As a result of the conducted research, it can be concluded that 137Cs sorption mainly occurs through the exchange reaction on zeolite, glauconite and bentonite. The highest cesium Kd was observed on zeolite due to its high CEC and amounted to 4.05 mg/L at pH 7. The higher sorption capacity of glauconite in comparison with bentonite is primarily due to the high layer charge which is mainly localized in tetrahedral sheets, and to the existence of highly selective sorption sites (frayed edge sites) on the glauconite surface. Diatomite showed the lowest sorption capacity provided by the presence of a small quantity of smectite and kaolinite in its composition. The values of desorption increase in the following order: zeolite < bentonite ~ diatomite < glauconite.

show abstract

Section: Mineral Sorbents Characterizationmentioning

confidence: 99%

Cesium Sorption and Desorption on Glauconite, Bentonite, Zeolite, and Diatomite

et al. 2019

View full text Add to dashboard Cite

show abstract

“…The second most abundant element in DE is Si (37%) as was expected and elsewhere reported (Yuan et al, 2010). The Si content varies depending on the physicochemical conditions present during the formation of the DE bank (Guatame-Garcia, Buxton, 2018). These minor variations could affect the performance of the material because the higher the content of Si the more silanol groups available to react with polar organic compounds increasing the number of compounds adsorbed by DE (Al-Ghouti et al, 2003).…”

Section: Resultsmentioning

confidence: 99%

“…These minor variations could affect the performance of the material because the higher the content of Si the more silanol groups available to react with polar organic compounds increasing the number of compounds adsorbed by DE (Al-Ghouti et al, 2003). Carbonate minerals can also affect the number of compounds that DE can absorb because the deposit of this material along the diatomite structure reduces its porosity (Guatame-Garcia, A. Buxton, 2018). However, the XRD analysis showed several crystal structures formed in the DE with the abundance of cristobalite, tridymite, and quartz, but anyone with carbonate which ensures the condition of the material to be a practical support to the nanoparticles (Fig.…”

Section: Resultsmentioning

confidence: 99%

Using nano zero valent iron supported on diatomite to remove acid blue dye: synthesis, characterization and toxicology test

Justo-Cabrera

Flores-Rojas

Schnabel

et al. 2019

Preprint

View full text Add to dashboard Cite

Using nano zero valent iron supported on diatomite to remove acid blue dye: 46 synthesis, characterization and toxicology test 47 48 49 50 Abstract 51The aim of this work was to synthesize and characterize nanoscale zero-valent iron 52 (NZVI) supported on diatomaceous earth (DE) at two different molar concentration 3 M 53 and 4M (nZVI-DE-1 nZVI-DE-2), to test the decolorization treatment of acid blue dye 54 (AB) and perform a toxicological test using zebrafish. The synthesis of the nanoparticles 55 was obtained using the chemical reduction method and the material was characterized by 56 X-ray diffraction, Scanning Electron Microscopy (SEM), Energy-Dispersive X-Ray 57 (EDX), and transmission electron microscopy and Specific Surface Area (BET). The 58 results showed spherical forms in clusters between 20 to 40 nm of zero valent iron 59 supported on diatomaceous earth. The removal of 1 g/l of AB from water treated with 60 NZVI-DE-1 and NZVI-DE-2 reached the decolorization of 90% and 98% of all dye. 61While controls like NZVI and DE-1 and DE-2 achieved the removal of 40, 37 and 24 % 62 of the dye. Toxicological analysis using zebrafish showed that AB causes a severe defect 63 in development and embryos die after exposure. However, the water samples treated with 64 NZVI-DE-1 and NZVI-DE-2 are not harmful for the zebrafish embryos during the first 65 24 hours. We conclude that the use of NZVI-DE-1 and NZVI-DE-2 is a promising 66 treatment for dye pollution. 67 68 69 Keywords: nanoparticles, water treatment, dyes, zero-valent iron, acid blue 70 71 72The concentration of dyes in industrial effluents can reach 500 mg/L and pollute local 73 freshwater, reducing the efficiency of sunlight and thereby impeding the process of 74 photosynthesis. (Jung et al., 2016). As a result, the water temperature of the stream 75 decreased, and photoautotrophs organism like algae, euglena, and cyanobacteria could no 76 longer survive (Bide, 2007). The death of these organisms is an ecological loss because 77 they play an essential role in the cycle of nutrients and are capable of absorbing organic 78 matter present in the stream. They can also remove carbon dioxide from the atmosphere, 79 are an indispensable source of food and oxygen for several organisms (Callieri, 2014). 80Pollution due to synthetic dyes also affects the health of aquatic and terrestrial organisms 81 (Samchetshabam et al., 2017). 82Acid blue (AB) was selected for this study because it is used widely by the industrial 83 sector, including for cosmetics, food coloring or for dyeing different fibers, and is 84 commonly mixed with sulfuric acid to make it more soluble before industrial application 85 thereby increasing the toxicity (Ammar et al., 2006). AB is not only toxic for aquatic life 86 but can also cause skin irritation, cornea damage, and promote the development of tumors 87 and cancer (Khelifi et al., 2008). 88 Several kinds of research have been carried out with the aim of removing dyes from water 89 using aerobic or anaerobic degradation, filtration, adsorption,...

show abstract

“…The MWIR region of the electromagnetic spectrum is under-investigated due to limited instrumental development. However, recent studies [30,31] showed that the MWIR region of the electromagnetic spectrum has a good potential for the characterization of materials.…”

Section: Introductionmentioning

confidence: 99%

Data Fusion for the Prediction of Elemental Concentrations in Polymetallic Sulphide Ore Using Mid-Wave Infrared and Long-Wave Infrared Reflectance Data

2020

Self Cite

View full text Add to dashboard Cite

The increasing availability of complex multivariate data yielded by sensor technologies permits qualitative and quantitative data analysis for material characterization. Multivariate data are hard to understand by visual inspection and intuition. Thus, data-driven models are required to derive study-specific insights from large datasets. In the present study, a partial least squares regression (PLSR) model was used for the prediction of elemental concentrations using the mineralogical techniques mid-wave infrared (MWIR) and long-wave infrared (LWIR) combined with data fusion approaches. In achieving the study objectives, the usability of the individual MWIR and LWIR datasets for the prediction of the concentration of elements in a polymetallic sulphide deposit was assessed, and the results were compared with the outputs of low- and mid-level data fusion methods. Prior to low-level data fusion implementation, data filtering techniques were applied to the MWIR and LWIR datasets. The pre-processed data were concatenated and a PLSR model was developed using the fused data. The mid-level data fusion was implemented by extracting features using principal component analysis (PCA) scores. As the models were applied to the MWIR, LWIR, and fused datasets, an improved prediction was achieved using the low-level data fusion approach. Overall, the acquired results indicate that the MWIR data can be used to reliably predict a combined Pb–Zn concentration, whereas LWIR data has a good correlation with the Fe concentration. The proposed approach could be extended for generating indicative element concentrations in polymetallic sulphide deposits in real-time using infrared reflectance data. Thus, it is beneficial in providing elemental concentration insights in mining operations.

show abstract

The Use of Infrared Spectroscopy to Determine the Quality of Carbonate-Rich Diatomite Ores

Cited by 13 publications

References 25 publications

Cesium Sorption and Desorption on Glauconite, Bentonite, Zeolite, and Diatomite

Cesium Sorption and Desorption on Glauconite, Bentonite, Zeolite, and Diatomite

Using nano zero valent iron supported on diatomite to remove acid blue dye: synthesis, characterization and toxicology test

Data Fusion for the Prediction of Elemental Concentrations in Polymetallic Sulphide Ore Using Mid-Wave Infrared and Long-Wave Infrared Reflectance Data

Contact Info

Product

Resources

About