Optimizing setup of scan number in FTIR spectroscopy using the moment distance index and PLS regression: application to soil spectroscopy

Barra, Issam; Khiari, Lotfi; Haefele, Stephan M.; Sakrabani, Ruben; Kebede, Fassil

doi:10.1038/s41598-021-92858-w

Cited by 16 publications

(4 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The surface of the sample in each well was flattened using a spatula to facilitate spectral scanning. The spectra recording was conducted between 4000 and 600 cm −1 with 4 cm −1 as resolution, and the scan number was set at 60 scans per acquisition [18], using a Bruker Tensor II bench-top spectrometer Massachusetts, USA at the Soil Spectroscopy Laboratory of the Centre of Excellence for Soil and Fertilizer Research in Africa, at the Mohammed VI Polytechnic University, Morocco.…”

Section: Ftir Spectra Acquisitionmentioning

confidence: 99%

Soil Particle Size Thresholds in Soil Spectroscopy and Its Effect on the Multivariate Models for the Analysis of Soil Properties

Barra,

El Moatassem,

Kebede

2023

Sensors

Self Cite

View full text Add to dashboard Cite

This study focused on one of the few but critical sample preparations required in soil spectroscopy (i.e., grinding), as well as the effect of soil particle size on the FTIR spectral database and the partial least squares regression models for the prediction of eight soil properties (viz., TC, TN, OC, sand, silt, clay, Olsen P, and CEC). Fifty soil samples from three Moroccan region were used. The soil samples underwent three preparations (drying, grinding, sieving) to obtain, at the end of the sample preparation step, three ranges of particle size, samples with sizes < 500 µm, samples with sizes < 250 µm, and a third range with particles < 125 µm. The multivariate models (PLSR) were set up based on the FTIR spectra recorded on the different obtained samples. The correlation coefficient (R2) and the root mean squared error of cross validation (RMSECV) were chosen as figures of merit to assess the quality of the prediction models. The results showed a general trend in improving the R2 as the finer particles were used (from <500 µm to 125 µm), which was clearly observed for TC, TN, P2O5, and CEC, whereas the cross-validation errors (RMSECV) showed an opposite trend. This confirmed that fine soil grinding improved the accuracy of predictive models for soil properties diagnosis in soil spectroscopy.

show abstract

Section: Ftir Spectra Acquisitionmentioning

confidence: 99%

Soil Particle Size Thresholds in Soil Spectroscopy and Its Effect on the Multivariate Models for the Analysis of Soil Properties

Barra,

El Moatassem,

Kebede

2023

Sensors

Self Cite

View full text Add to dashboard Cite

show abstract

“…Because of the solid state, the KBr pellet procedure is used to prepare the samples for IR spectral analysis. The compound's spectrum is recorded using a "Perkin Elmer Spectrum Two FTIR-ATR spectrophotometer equipped with a diamond as the internal reflection element, and 100 scans at a resolution greater than 2 cm -1 " [18]. The conversion of camphor into nano-size particles is initiated with a grinding process; for this purpose, Kanchan Ganga grinding machine is utilized.…”

Section: Preparation Characterization and Blending Of Camphor Nanopar...mentioning

confidence: 99%

Enhancing heat transfer performance of automotive car radiator using camphor nanoparticles: experimental study with bibliometric analysis

Kolakoti,

Setiyo,

Husaeni

et al. 2023

Teknomekanik

View full text Add to dashboard Cite

In this study, an attempt was made to investigate the heat transfer performance of a four-wheeler automotive radiator using a novel coolant system. To support this study, we also added bibliometric analysis to show the importance of this study. In the experiments, camphor nanoparticles (sizes of 511 nm) with various loadings (i.e. 2, 4, 6, and 8%) were mixed with deionized water (DW) to create a coolant. The experiments were conducted at different heat convection processes (i.e. 0.5, 1.45, and 3.7 m/s). The significant heat transfer performance parameters, such as Reynolds number (Re), Nusselt number (Nu), overall heat transfer coefficient (U), and heat transfer rate (Q), were examined. The Fourier Transform Infrared results revealed the presence of significant functional groups in the coolant system. camphor nanoparticles dispersed in DW were stable for more than 8 hours. At 70 ᵒC, the novel coolant (2% camphor nanoparticles in DW) exhibits better Re, Nu, U, and Q than that using pure DW or other loadings of nanoparticles (e.g. 4, 6, and 8%). The high percentage of camphor nanoparticles in DW restricts the fluid flow, resulting in a drop in overall heat transfer performance. Finally, low-cost, easily available, and eco-friendly camphor nanoparticles (2%) are suggested as a better choice in lieu of high-cost metallic and non-metallic nanoparticles as an additive in the coolant system.

show abstract

“…Therefore, infrared spectrum analysis and stress analysis of phosphate rock were conducted. The phosphate rock at different positions in the mining area (area 1#, 2#, 3#, and 4#, as shown in Figure 1) was assessed by Fourier infrared spectrometer (Barra et al, 2021;Enders et al, 2021). The infrared spectrum analysis results of ore rock at different positions are shown in Figure 2.…”

Section: Phosphate Rock Specimensmentioning

confidence: 99%

Characteristics of Infrared Radiation in the Failure of Phosphate Rock at Different Loading Rates

Gao

Lin

et al. 2022

Front. Earth Sci.

View full text Add to dashboard Cite

Safe and effective mining of phosphate rock plays an important role in the sustainable development of phosphorus resources. The mechanical properties and failure process of phosphate rock under different mining rates remain unclear, further restricting the safe and efficient mining of phosphate rock. In this paper, infrared radiation and uniaxial compression tests of phosphate rock under different loading rates, e.g., 0.0005, 0.001, 0.005, and 0.01 mm/s, were conducted to investigate the failure process of phosphate rock. Energy evolution and infrared radiation characteristics of the phosphate rock damage process were analyzed using nondestructive, real-time, and noncontact infrared thermal imaging technology. The results show that the higher the loading rate of phosphate rock, the more obvious the high-temperature zone and high-temperature point of phosphate rock in the loading process. At failure, the friction and slippage between internal cracks are intense, showing that the infrared radiation temperature difference increases with the increase of loading rate. As loading rate increases, the energy release time of phosphate rock before damage is reduced, resulting in more energy stored in the rock as evinced by its infrared radiation characteristics, finally resulting in greater damage. The increase of loading rate reduces the dissipation energy of phosphate rock before failure so that more energy remains in the rock mass through the weak surface of the grain boundary. The results of this work will be helpful in enhancing theoretical support for prevention and control of dynamic disasters in phosphate mines.

show abstract

Optimizing setup of scan number in FTIR spectroscopy using the moment distance index and PLS regression: application to soil spectroscopy

Cited by 16 publications

References 38 publications

Soil Particle Size Thresholds in Soil Spectroscopy and Its Effect on the Multivariate Models for the Analysis of Soil Properties

Soil Particle Size Thresholds in Soil Spectroscopy and Its Effect on the Multivariate Models for the Analysis of Soil Properties

Enhancing heat transfer performance of automotive car radiator using camphor nanoparticles: experimental study with bibliometric analysis

Characteristics of Infrared Radiation in the Failure of Phosphate Rock at Different Loading Rates

Contact Info

Product

Resources

About