Expeditious prediction of fiber content in sugar cane: An analytical possibility with LIBS and chemometrics

Romera, João Paulo Rodrigues; Barsanelli, Paulo Lopes; Pereira, Fernando Mendes

doi:10.1016/j.fuel.2015.11.029

Cited by 16 publications

(14 citation statements)

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“…Taking monochromator (SR-500i-A-R, Andor, Belfast, United Kingdom) as a spectrometer, which enable separate the optical signal during plasma transition process, so as to obtain high-resolution spectral information in the short wavelength band of 210.0107∼230.9990 nm. The wavelength of atomic and ion spectra is in one-to-one correspondence with specific elements, and the intensity of the spectral signal has a quantitative relationship with the content of the corresponding element (Rodrigues Romera et al, 2016). ICCD detector (iStar DH334T-18F-03, Andor, Belfast, United Kingdom) converted optical signal into electrical signal with optimized parameters (Delay = 1 µs, Gate width = 10 µs, Gain setting = 1000).…”

Section: Methodsmentioning

confidence: 99%

Application of Laser-Induced Breakdown Spectroscopy in Detection of Cadmium Content in Rice Stems

et al. 2020

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The presence of cadmium in rice stems is a limiting factor that restricts its function as biomass. In order to prevent potential risks of heavy metals in rice straws, this study introduced a fast detection method of cadmium in rice stems based on laser induced breakdown spectroscopy (LIBS) and chemometrics. The wavelet transform (WT), area normalization and median absolute deviation (MAD) were used to preprocess raw spectra to improve spectral stability. Principal component analysis (PCA) was used for cluster analysis. The classification models were established to distinguish cadmium stress degree of stems, of which extreme learning machine (ELM) had the best effect, with 91.11% of calibration accuracy and 93.33% of prediction accuracy. In addition, multivariate models were established for quantitative detection of cadmium. It can be found that ELM model had the best prediction effects with prediction correlation coefficient of 0.995. The results show that LIBS provides an effective method for detection of cadmium in rice stems. The combination of LIBS technology and chemometrics can quickly detect the presence of cadmium in rice stems, and accurately realize qualitative and quantitative analysis of cadmium, which could be of great significance to promote the development of new energy industry.

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Section: Methodsmentioning

confidence: 99%

Application of Laser-Induced Breakdown Spectroscopy in Detection of Cadmium Content in Rice Stems

et al. 2020

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“…Thus, establishing an equilibrium between the impurities, mainly Type B, and reliable material introduced in a system is important. Some impurities and fiber are the main constituents of bagasse [12][13][14], which is used for second-generation energy production [15], plasticizers [16] and biomass [17].…”

Section: Introductionmentioning

confidence: 99%

“…The fiber and impurity amounts introduced in a system (Type B) or formed during an industrial process (Type A) are correlated with the amount and quality of the resultant juice and the yields of the final products, i.e., sugar and ethanol. To rapidly predict the fiber content (%) in raw sugarcane bagasse, laser-induced breakdown spectroscopy (LIBS) has been used in combination with multivariate calibration [12]. The LIBS technique applies a short laser pulse to the sample surface to form a plasma at approximately 10,000 K [18].…”

Section: Introductionmentioning

confidence: 99%

“…The interaction between the plasma and matter produces an emission spectrum, and the spectral information can be used for qualitative and quantitative chemical analyses. In a study published in 2016, Romera et al [12] used LIBS to determine the fiber content in sugarcane bagasse. The most relevant information from the spectra was selected, and the atomic lines of C, Mg, Na, H, N, K and ionic lines of Ca were used for a partial least squares (PLS) regression analysis.…”

Section: Introductionmentioning

confidence: 99%

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Classifying impurity ranges in raw sugarcane using laser-induced breakdown spectroscopy (LIBS) and sum fusion across a tuning parameter window

Guedes

Pereira

2018

Microchemical Journal

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The presence in raw sugarcane of low levels of solid impurities from soil particles and green and dry/brown sugarcane leaves is relevant to improving sugar mill production performance. Two ranges of impurities for raw sugar manufacturing processes need to be characterized from 0 to 5 wt% (desired material) and 8 to 10 wt% (undesired material); these ranges are denoted as 1 and 2, respectively. Laser-induced breakdown spectroscopy (LIBS) combined with chemometrics is used to detect chemical elements and different impurity ranges in leached raw sugarcane solutions. The potential use of LIBS based on leached solutions immobilized in a polyvinyl alcohol (PVA) polymer requires approximately 2 h sample preparation time. LIBS data are assigned to the above two impurity ranges using fusion of multiple classifiers. Most classifiers require a training set and optimization of a tuning parameter to select the best model; however, the sum fusion across a tuning parameter window used for classifying the samples in this study is a process that does not require either. The classification results are 97% accuracy for both ranges; 94% and 100% specificity for ranges 1 and 2, respectively; and 100% and 94% sensitivity for ranges 1 and 2, respectively. The classification results indicate potential for future applications in sugarcane refineries.

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“…It is based on the atomic emission spectroscopy and has potential for multilayer in‐depth analysis . This technique has been employed for almost all types of materials like solid, liquid, gaseous, organic, inorganic, conductor, and non‐conductor (even with the irregular shape of samples) to determine the chemical composition and concentration of trace elements in the sample . LIBS uses a high intensity laser pulse as a vaporization or excitation source to create high temperature plasma plume.…”

Section: Introductionmentioning

confidence: 99%

Depth profiling of tungsten coating layer on CuCrZr alloy using LIBS approach

Imran

Sun

Liu

et al. 2018

Surface & Interface Analysis

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Laser induced breakdown spectroscopy (LIBS) was employed to find the depth profile of W-coated CuCrZr alloy. Cathodic arc deposition method was applied to produce tungsten coating on the CuCrZr alloy. The LIBS measurements were carried out by using a Nd:YAG laser at its fundamental wavelength (1064 nm) with various fluences.The spectral intensity emitted from laser induced plasma of the coating material was investigated for both elemental and depth-profile analyses in terms of linear correlation coefficient. Other surface characterization techniques (scanning electron microscopy and energy dispersive X-ray) were also used to determine morphology and elemental composition. It is observed that nonuniform radial energy distribution of Gaussian laser beam caused gradual decay of spectral lines of the coating and rise of substrate lines. The results indicate that the spectral intensity from W coating was higher than that from the bulk material at same laser fluence. The high-resolution in-depth profile was achieved at low fluence. This study demonstrates that LIBS is a promising technique for the depth-profiling analysis of W coating of EAST-like material and can be used to determine the material erosion and impurity deposition on plasma facing components. KEYWORDS cathodic arc deposition, CuCrZr alloy, depth profile, LIBS, W-coating 1 | INTRODUCTION Metallic coatings for various applications, like plasma facing material, wear and corrosion resistance, and protection against erosion, have great importance and are in a high demand both in technology and industry. 1 Many types of coating are used to improve mechanical, optical, thermal, electrical, chemical, and magnetic properties of the substrate. Many applications in industry require in-depth characterization of coated layers with thickness from nanometre to tens of micrometre. 2 The plasma facing components (PFCs) used in fusion devices have to operate under highly aggressive environment. The coatings deposition produced on PFCs have to protect them from high heat flux plasm particles in order to improve their performance in long pulse operations. However, some materials are eroded as high heat flux strike with wall components and redeposited as an impurity on PFCs which changed the surface composition. 3-5 Moreover, the exposure of PFCs to high-energy particles fluxes changes the surface crystallinity and causes the change in ablation threshold value. In EAST tokamak, the ITER-like W mono-blocks were used in upper divertor target. The divertor baffle and dome were made of W/CuCrZr (W plates on CuCrZr alloy). 6,7 A reliable technique is required to measure the depth profile of erosion and impurity deposition on surface modification which could perform in the tokamak-like environment for in-situ analysis and give the entire information of elemental composition.Laser induced breakdown spectroscopy (LIBS) is a promising multi-element analytical technique for in-situ analysis of the chemical composition of components inside the vacuum vessel of fusion devices. [8][9][10...

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Expeditious prediction of fiber content in sugar cane: An analytical possibility with LIBS and chemometrics

Cited by 16 publications

References 16 publications

Application of Laser-Induced Breakdown Spectroscopy in Detection of Cadmium Content in Rice Stems

Application of Laser-Induced Breakdown Spectroscopy in Detection of Cadmium Content in Rice Stems

Classifying impurity ranges in raw sugarcane using laser-induced breakdown spectroscopy (LIBS) and sum fusion across a tuning parameter window

Depth profiling of tungsten coating layer on CuCrZr alloy using LIBS approach

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