Spectral Characterization of Nitrogen in Farmland Soil by Laser-Induced Breakdown Spectroscopy

Dong, Daming; Zhao, Chunjiang; Zheng, Wengang; Zhao, Xin; Jiao, Leizi

doi:10.1080/00387010.2012.747542

Cited by 26 publications

(19 citation statements)

References 16 publications

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“…Two single lines at 343.75 nm (343.2-344.6 nm) and 460.5 nm (459.8-460.9 nm) were identified as N emission lines [64]. The multilines at ranges of 739.4-755.3 nm and 815.6-828.0 nm were also confirmed as N emission lines [38,[64][65][66]. Two signals at 253.7 nm (253.1-254.4 nm) and 440.2 nm (439.4-440.6 nm) were identified as the P emission lines [67][68][69][70].…”

Section: Investigation Of Spectramentioning

confidence: 88%

Fast and Simultaneous Determination of Soil Properties Using Laser-Induced Breakdown Spectroscopy (LIBS): A Case Study of Typical Farmland Soils in China

et al. 2019

Soil Syst.

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Accurate management of soil nutrients and fast and simultaneous acquisition of soil properties are crucial in the development of sustainable agriculture. However, the conventional methods of soil analysis are generally labor-intensive, environmentally unfriendly, as well as time- and cost-consuming. Laser-induced breakdown spectroscopy (LIBS) is a “superstar” technique that has yielded outstanding results in the elemental analysis of a wide range of materials. However, its application for analysis of farmland soil faces the challenges of matrix effects, lack of large-scale soil samples with distinct origin and nature, and problems with simultaneous determination of multiple soil properties. Therefore, LIBS technique, in combination with partial least squares regression (PLSR), was applied to simultaneously determinate soil pH, cation exchange capacity (CEC), soil organic matter (SOM), total nitrogen (TN), total phosphorus (TP), total potassium (TK), available phosphorus (AP), and available potassium (AK) in 200 soils from different farmlands in China. The prediction performances of full spectra and characteristic lines were evaluated and compared. Based on full spectra, the estimates of pH, CEC, SOM, TN, and TK achieved excellent prediction abilities with the residual prediction deviation (RPDV) values > 2.0 and the estimate of TP featured good performance with RPDV value of 1.993. However, using characteristic lines only improved the predicted accuracy of SOM, but reduced the prediction accuracies of TN, TP, and TK. In addition, soil AP and AK were predicted poorly with RPDV values of < 1.4 based on both full spectra and characteristic lines. The weak correlations between conventionally analyzed soil AP and AK and soil LIBS spectra are responsible for the poor prediction abilities of AP and AK contents. Findings from this study demonstrated that the LIBS technique combined with multivariate methods is a promising alternative for fast and simultaneous detection of some properties (i.e., pH and CEC) and nutrient contents (i.e., SOM, TN, TP, and TK) in farmland soils because of the extraordinary prediction performances achieved for these attributes.

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Section: Investigation Of Spectramentioning

confidence: 88%

Fast and Simultaneous Determination of Soil Properties Using Laser-Induced Breakdown Spectroscopy (LIBS): A Case Study of Typical Farmland Soils in China

et al. 2019

Soil Syst.

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“…Relying on the unique capability, LIBS technique has witnessed tremendous growth and been widely applied in variety of fields, such as environmental monitoring1415, archaeological investigations16, geological applications17, biomedical detection1819, industrial analysis20, agriculture212223, food242526, and space exploration2728.…”

mentioning

confidence: 99%

Laser-Induced Breakdown Spectroscopy Coupled with Multivariate Chemometrics for Variety Discrimination of Soil

Zhao

Liu

et al. 2016

Sci Rep

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The aim of this work was to analyze the variety of soil by laser-induced breakdown spectroscopy (LIBS) coupled with chemometrics methods. 6 certified reference materials (CRMs) of soil samples were selected and their LIBS spectra were captured. Characteristic emission lines of main elements were identified based on the LIBS curves and corresponding contents. From the identified emission lines, LIBS spectra in 7 lines with high signal-to-noise ratio (SNR) were chosen for further analysis. Principal component analysis (PCA) was carried out using the LIBS spectra at 7 selected lines and an obvious cluster of 6 soils was observed. Soft independent modeling of class analogy (SIMCA) and least-squares support vector machine (LS-SVM) were introduced to establish discriminant models for classifying the 6 types of soils, and they offered the correct discrimination rates of 90% and 100%, respectively. Receiver operating characteristic (ROC) curve was used to evaluate the performance of models and the results demonstrated that the LS-SVM model was promising. Lastly, 8 types of soils from different places were gathered to conduct the same experiments for verifying the selected 7 emission lines and LS-SVM model. The research revealed that LIBS technology coupled with chemometrics could conduct the variety discrimination of soil.

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“…In particular, the 746.83 nm line increased in prominence following pelletisation. This wavelength has been used previously for quantication of nitrogen by laboratory-based LIBS, using internal calibration with spiked soil 14 and sand. 32 This investigation suggests that, although pelletisation would be preferred, even milling a soil sample prior to analysis improves the spectral quality and is therefore to be recommended.…”

Section: Effect Of Sample Pre-treatmentmentioning

confidence: 99%

“…The ability to determine nitrogen directly, in soil, in the eld, is challenging. 10 However, it would be of enormous benet to agriculture as it would allow more targeted application of fertilizers [11][12][13][14] and more effective management of crop nitrogen utilisation. 15,16 The in situ measurement of nitrogen in soils is also of interest in space science.…”

Section: Introductionmentioning

confidence: 99%

“…[18][19][20][21][22][23][24][25][26][27][28][29][30] The detection of nitrogen in soil using laboratory-based LIBS instruments has been reported by several authors. 14,31,32 However, for agricultural and space science applications, it will be necessary to determineand ideally mapthe soil nitrogen distribution in situ using a eld-portable instrument. This is challenging because, as mentioned above 8 the quality of LIBS results obtained is enormously inuenced by the chemical and physical properties of the sample, which in turn depend on how the sample was pretreated prior to analysis.…”

Section: Introductionmentioning

confidence: 99%

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Effects of sample pretreatment and particle size on the determination of nitrogen in soil by portable LIBS and potential use on robotic-borne remote Martian and agricultural soil analysis systems

et al. 2018

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Spectral Characterization of Nitrogen in Farmland Soil by Laser-Induced Breakdown Spectroscopy

Cited by 26 publications

References 16 publications

Fast and Simultaneous Determination of Soil Properties Using Laser-Induced Breakdown Spectroscopy (LIBS): A Case Study of Typical Farmland Soils in China

Fast and Simultaneous Determination of Soil Properties Using Laser-Induced Breakdown Spectroscopy (LIBS): A Case Study of Typical Farmland Soils in China

Laser-Induced Breakdown Spectroscopy Coupled with Multivariate Chemometrics for Variety Discrimination of Soil

Effects of sample pretreatment and particle size on the determination of nitrogen in soil by portable LIBS and potential use on robotic-borne remote Martian and agricultural soil analysis systems

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