Quantitative analysis of carbon content in fly ash using LIBS based on support vector regression

Liu, Renwei; Chen, Peng; Wang, Zhenzhen; Rong, Kai; Yan, Junjie; Liu, Jiping; Deguchi, Yoshihiro

doi:10.1016/j.apt.2021.06.010

Cited by 8 publications

(3 citation statements)

References 27 publications

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“…Kadar abu untuk perlakuan dengan menggunakan pupuk memperoleh hasil yaitu 16,80%. Kadar abu adalah parameter untuk menunjukkan nilai kandungan bahan anorganik (mineral) yang ada didalam suatu bahan atau produk diantaranya kalsium, kalium, fosfor, besi, magnesium, dan lain-lain (Liu et al, 2021).…”

Section: Hasil Analisa Proksimat Dan Mineral Tanaman Suruhanunclassified

Pupuk Terhadap Kandungan Proksimat dan Mineral pada Suruhan Peperomia pellucida

Puluhulawa

Kandowangko

Solang

2021

Agrosains: J. Penelit. Agron.

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<p>Suruhan plant is one of the plants that has properties for treatment in various diseases such as diabetes mellitus, headache, fever, and rheumatism. In addition to traditional medicine, people usually use plants as an alternative food that is consumed by sautéing or consumed directly. The plant contains antioxidants, antimicrobials and anticancers. The leaves have flavonoids, alkaloids. Proximate content analysis is important to be used as data on the content of a foodstuff. One way to increase the content to be more useful is by cultivating using organic fertilizer. The purpose of this research is to find out the influence of organic fertilizers on the content of proximate, minerals on the plants. the method used was descriptive quantitative. Based on the results showed that on the content of proximate and minerals in the commission plants given organic fertilizer obtained water content of 26.60%, ash content of 16.80%, fat content of 2.58%, protein content of 13.86%, carbohydrates 40.16%, iron (Fe) 18.74 ppm, calcium (Ca) 255.92 ppm.</p>

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Section: Hasil Analisa Proksimat Dan Mineral Tanaman Suruhanunclassified

Pupuk Terhadap Kandungan Proksimat dan Mineral pada Suruhan Peperomia pellucida

Puluhulawa

Kandowangko

Solang

2021

Agrosains: J. Penelit. Agron.

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“…19 Liu et al used matrix correction factors combined with support vector regression to measure the elemental carbon content in fly ash, and R 2 , RMSECV, RMSEP, and RPD of residual prediction deviation reached 0.991, 0.850 wt%, 1.07 wt% and 1.89 wt%, respectively. 20 Xu et al reduced the matrix effect by adding a binder, which could enhance the stability of the half-focus measurement spectra. 21 Yao et al used LIBS combined with near-infrared reflectance spectroscopy (NIRS) for data fusion to achieve coal proximate analysis, and the root mean square error of prediction for fixed carbon was 0.681 wt%.…”

Section: Introductionmentioning

confidence: 99%

LIBS analysis of elemental carbon and fixed carbon in coal by dual-cycle regression based on matrix-matched calibration

Zhu,

Song,

Zhang

et al. 2024

J. Anal. At. Spectrom.

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“…Quantitative analysis is also an important research area in LIBS spectral analysis. Quantitative analysis is helpful to understand the concentration of elements in the material and is helpful for industrial analysis [13,23,24]. It is very important to study the influencing factors of quantitative analysis.…”

Section: Introductionmentioning

confidence: 99%

Resolution effects on spectral analysis of low alloy steel by laser-induced breakdown spectroscopy

Shen¹,

Chen²,

Luo³

et al. 2023

J. Phys. D: Appl. Phys.

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The influence of resolution on spectral analysis is of great significance to improve the measurement accuracy of laser-induced breakdown spectroscopy (LIBS). In this study, the low alloy steel samples were measured at different resolutions using dual-channel spectrometer simultaneously to discuss the plasma characteristics. The diffraction efficiency of the grating was different at different resolutions, which led to different spectral intensities measured at different resolutions. It affected the LIBS spectral analysis. For plasma spectral analysis, the experimental results showed that the Boltzmann plot method was suitable for calculating the plasma temperature using the low-resolution spectra with 0.076 nm/pixel. Based on the high-resolution spectra with 0.01 nm/pixel, Boltzmann double lines method was applied to calculate the plasma temperature, and the analysis line was IFeI395.668/IFeI400.524. Due to the influence of instrument broadening, Stark broadening could only be used to characterize the electron density using the high-resolution spectra. For quantitative analysis in LIBS spectral analysis, support vector machine regression (SVR) with different inputs was used to quantitatively analyse the Mn content in the low alloy steel. The prediction accuracy of the low-resolution spectra was poor compared to the high-resolution spectra. When the input was the target spectral intensities and the plasma state, the fitting accuracy and prediction accuracy were improved. It showed that SVR combined with the plasma state was an effective method to improve the accuracy of LIBS quantitative analysis of Mn content in low alloy steel.

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Quantitative analysis of carbon content in fly ash using LIBS based on support vector regression

Cited by 8 publications

References 27 publications

Pupuk Terhadap Kandungan Proksimat dan Mineral pada Suruhan Peperomia pellucida

Pupuk Terhadap Kandungan Proksimat dan Mineral pada Suruhan Peperomia pellucida

LIBS analysis of elemental carbon and fixed carbon in coal by dual-cycle regression based on matrix-matched calibration

Resolution effects on spectral analysis of low alloy steel by laser-induced breakdown spectroscopy

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