Literature DB >> 27261426

Double pulse laser induced breakdown spectroscopy: A potential tool for the analysis of contaminants and macro/micronutrients in organic mineral fertilizers.

Gustavo Nicolodelli1, Giorgio Saverio Senesi2, Ivan Luiz de Oliveira Perazzoli3, Bruno Spolon Marangoni4, Vinícius De Melo Benites5, Débora Marcondes Bastos Pereira Milori3.   

Abstract

Organic fertilizers are obtained from waste of plant or animal origin. One of the advantages of organic fertilizers is that, from the composting, it recycles waste-organic of urban and agriculture origin, whose disposal would cause environmental impacts. Fast and accurate analysis of both major and minor/trace elements contained in organic mineral and inorganic fertilizers of new generation have promoted the application of modern analytical techniques. In particular, laser induced breakdown spectroscopy (LIBS) is showing to be a very promising, quick and practical technique to detect and measure contaminants and nutrients in fertilizers. Although, this technique presents some limitations, such as a low sensitivity, if compared to other spectroscopic techniques, the use of double pulse (DP) LIBS is an alternative to the conventional LIBS in single pulse (SP). The macronutrients (Ca, Mg, K, P), micronutrients (Cu, Fe, Na, Mn, Zn) and contaminant (Cr) in fertilizer using LIBS in SP and DP configurations were evaluated. A comparative study for both configurations was performed using optimized key parameters for improving LIBS performance. The limit of detection (LOD) values obtained by DP LIBS increased up to seven times as compared to SP LIBS. In general, the marked improvement obtained when using DP system in the simultaneous LIBS quantitative determination for fertilizers analysis could be ascribed to the larger ablated mass of the sample. The results presented in this study show the promising potential of the DP LIBS technique for a qualitative analysis in fertilizers, without requiring sample preparation with chemical reagents.
Copyright © 2016 Elsevier B.V. All rights reserved.

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Keywords:  DP LIBS; Limit of detection; Organic fertilizers; Waste-organic

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Year:  2016        PMID: 27261426     DOI: 10.1016/j.scitotenv.2016.05.153

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  1 in total

1.  Machine Learning Allows Calibration Models to Predict Trace Element Concentration in Soils with Generalized LIBS Spectra.

Authors:  Chen Sun; Ye Tian; Liang Gao; Yishuai Niu; Tianlong Zhang; Hua Li; Yuqing Zhang; Zengqi Yue; Nicole Delepine-Gilon; Jin Yu
Journal:  Sci Rep       Date:  2019-08-06       Impact factor: 4.379

  1 in total

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