2022
DOI: 10.1016/j.compag.2022.106986
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LIBS in agriculture: A review focusing on revealing nutritional and toxic elements in soil, water, and crops

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Cited by 46 publications
(22 citation statements)
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“…Dissolved gaseous Hg and reactive Hg fractions were purged 105 from 10 L batches of water samples aer addition of acidic SnCl 2 . The Hg 0 generated was captured on a Climpregnated activated-carbon-trap before thermal desorption and trapping in a 40% reverse aqua regia solution for determination of d 202 Hg, D 199 Hg, and D 200 Hg by MC-ICP-MS.…”
Section: Atomic Absorption Spectrometrymentioning
confidence: 99%
See 1 more Smart Citation
“…Dissolved gaseous Hg and reactive Hg fractions were purged 105 from 10 L batches of water samples aer addition of acidic SnCl 2 . The Hg 0 generated was captured on a Climpregnated activated-carbon-trap before thermal desorption and trapping in a 40% reverse aqua regia solution for determination of d 202 Hg, D 199 Hg, and D 200 Hg by MC-ICP-MS.…”
Section: Atomic Absorption Spectrometrymentioning
confidence: 99%
“…Hu et al 199 reviewed (137 references) calibration-free LIBS in which the measured concentration is derived from an algorithm rather than from the analysis of standards. Ren et al 200 summarised (134 references) applications of LIBS in agriculture in the period 2017 to 2021 with particular reference to the detection of nutrients and PTEs in soils, fertilisers, waters and crops. Khan et al 109 included the analysis of plants and plant-derived foodstuffs in their review (207 references) which also featured a useful comparison of the advantages and disadvantages of different types of LIBS analysis.…”
Section: Analysis Of Soils Plants and Related Materialsmentioning
confidence: 99%
“…The characteristic spectral lines of specific elements can be found in the Atomic Spectral Database (ASD) of the National Institute of Standards and Technology (NIST) [ 35 , 36 ]. In quantitative analysis, in addition to traditional methods, such as internal and external scaling [ 37 ], machine learning methods, such as support vector machines (SVM) [ 38 ], principal component analysis (PCA) [ 39 ], the back propagation (BP) neural network [ 40 ], and partial least square (PLS) [ 41 ], are also becoming widely used. Machine learning methods, such as BP neural networks, SVM, and PCA, perform more satisfactorily than traditional methods such as PLS for LIBS spectral data mining.…”
Section: Instrument and Principle Of Libsmentioning
confidence: 99%
“…Laser-induced breakdown spectroscopy (LIBS) is a rapidly developing chemical element analysis technology that has been widely used in the detection of alloys, [5][6][7] plant materials, [8][9][10] food and nutrition, [11][12][13] rocks, [14][15][16] and soils. [17][18][19] As a fast, online, pollution-free, and low-cost technology, it is well suited for the approximate analysis of milk powder.…”
Section: Introductionmentioning
confidence: 99%