Qualitative and quantitative analysis of environmental samples by laser-induced breakdown spectrometry

Зоров, Н. Б.; Popov, A. M.; Zaytsev, Sergey M.; Лабутин, Т.А.

doi:10.1070/rcr4538

Cited by 56 publications

(34 citation statements)

References 278 publications

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“…A promising method, which is potentially well suited for the in-field determination of total contents of elements in soils, is laser-induced breakdown spectroscopy (LIBS). LIBS is an optical emission spectroscopy technique [5][6][7][8][9]. An intense pulse of laser radiation, typically of nanosecond duration, is focused onto the sample, where it ablates material from the surface and creates a microplasma.…”

Section: Introductionmentioning

confidence: 99%

Soil Nutrient Detection for Precision Agriculture Using Handheld Laser-Induced Breakdown Spectroscopy (LIBS) and Multivariate Regression Methods (PLSR, Lasso and GPR)

Erler

Riebe

Beitz

et al. 2020

Sensors

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Precision agriculture (PA) strongly relies on spatially differentiated sensor information. Handheld instruments based on laser-induced breakdown spectroscopy (LIBS) are a promising sensor technique for the in-field determination of various soil parameters. In this work, the potential of handheld LIBS for the determination of the total mass fractions of the major nutrients Ca, K, Mg, N, P and the trace nutrients Mn, Fe was evaluated. Additionally, other soil parameters, such as humus content, soil pH value and plant available P content, were determined. Since the quantification of nutrients by LIBS depends strongly on the soil matrix, various multivariate regression methods were used for calibration and prediction. These include partial least squares regression (PLSR), least absolute shrinkage and selection operator regression (Lasso), and Gaussian process regression (GPR). The best prediction results were obtained for Ca, K, Mg and Fe. The coefficients of determination obtained for other nutrients were smaller. This is due to much lower concentrations in the case of Mn, while the low number of lines and very weak intensities are the reason for the deviation of N and P. Soil parameters that are not directly related to one element, such as pH, could also be predicted. Lasso and GPR yielded slightly better results than PLSR. Additionally, several methods of data pretreatment were investigated.

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Section: Introductionmentioning

confidence: 99%

Soil Nutrient Detection for Precision Agriculture Using Handheld Laser-Induced Breakdown Spectroscopy (LIBS) and Multivariate Regression Methods (PLSR, Lasso and GPR)

Erler

Riebe

Beitz

et al. 2020

Sensors

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“…The elemental information of honey can be obtained through analyzing the atomic emission spectroscopy from plasma which is induced by a laser. It has the advantages of fast detection, multi-elemental analysis, and environmentally friendly feature [10]. As a novel approach in food, it has been used for regional discrimination [11] and elemental detection [12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Fast Quantification of Honey Adulteration with Laser-Induced Breakdown Spectroscopy and Chemometric Methods

Peng

Xie

Jiang

et al. 2020

Foods

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Honey adulteration is a major issue in food production, which may reduce the effective components in honey and have a detrimental effect on human health. Herein, laser-induced breakdown spectroscopy (LIBS) combined with chemometric methods was used to fast quantify the adulterant content. Two common types of adulteration, including mixing acacia honey with high fructose corn syrup (HFCS) and rape honey, were quantified with univariate analysis and partial least squares regression (PLSR). In addition, the variable importance was tested with univariable analysis and feature selection methods (genetic algorithm (GA), variable importance in projection (VIP), selectivity ratio (SR)). The results indicated that emissions from Mg II 279.58, 280.30 nm, Mg I 285.25 nm, Ca II 393.37, 396.89 nm, Ca I 422.70 nm, Na I 589.03, 589.64 nm, and K I 766.57, 769.97 nm had compact relationship with adulterant content. Best models for detecting the adulteration ratio of HFCS 55, HFCS 90, and rape honey were achieved by SR-PLSR, VIP-PLSR, and VIP-PLSR, with root-mean-square error (RMSE) of 8.9%, 8.2%, and 4.8%, respectively. This study provided a fast and simple approach for detecting honey adulteration.

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“…LIBS has greatly advanced in recent years due to intensive research on understanding the physical processes involved in the plasma formation, the setup design and data treatment (Noll, 2012;Zorov, Popov, Zaytsev, & Labutin, 2015). With the advent of double-pulse LIBS systems, the signal acquired has become more stable and reproducible and less affected by matrix effects.…”

mentioning

confidence: 99%

Applications of laser‐induced breakdown spectroscopy for soil analysis, part I: Review of fundamentals and chemical and physical properties

Boas

Franco

Martin‐Neto

et al. 2019

European J Soil Science

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Laser‐induced breakdown spectroscopy (LIBS) has become a prominent analytical technique in recent years for real‐time characterization of soil properties. However, only a few studies of soil chemical and physical properties have been reported using LIBS until recently. The aims of this article are to: (a) provide the basic principles of LIBS for soil analysis and (b) present the use of LIBS for the analysis of soil pH, soil texture and the humification degree of soil organic matter (SOM). The second article will cover soil classification and soil elemental analysis, including plant nutrients, carbon (C) and toxic elements. LIBS is a multi‐element analytical technique based on atomic spectroscopy that employs a high‐energy laser pulse focused onto a sample surface to create a transient plasma. It is a spectroscopic analytical technique that requires very little or no sample preparation, examines each sample in seconds, and offers a flexible platform for the examination of a broad array of elements in the sample. LIBS also can be used to infer soil chemical and physical properties if a relationship exists between the chemical composition and the soil properties. With proper calibration, LIBS has a great potential for real‐time in‐field soil analysis and precision farming that could lead to improved soil management and agricultural production, and reduced agricultural environmental impacts. Highlights Laser‐induced breakdown spectroscopy (LIBS) is a fast, multi‐element analytical technique with great potential for soil characterization. Basic principles of LIBS and general description of its use for soil analysis are provided. Soil chemical and physical characterization by LIBS are reviewed and compared to other techniques. LIBS advantages, limitations and challenges are discussed for soil chemical and physical characterization.

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Qualitative and quantitative analysis of environmental samples by laser-induced breakdown spectrometry

Cited by 56 publications

References 278 publications

Soil Nutrient Detection for Precision Agriculture Using Handheld Laser-Induced Breakdown Spectroscopy (LIBS) and Multivariate Regression Methods (PLSR, Lasso and GPR)

Soil Nutrient Detection for Precision Agriculture Using Handheld Laser-Induced Breakdown Spectroscopy (LIBS) and Multivariate Regression Methods (PLSR, Lasso and GPR)

Fast Quantification of Honey Adulteration with Laser-Induced Breakdown Spectroscopy and Chemometric Methods

Applications of laser‐induced breakdown spectroscopy for soil analysis, part I: Review of fundamentals and chemical and physical properties

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