A novel LIBS method for quantitative and high-throughput analysis of macro- and micronutrients in plants

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A novel LIBS method for quantitative and high-throughput analysis of macro- and micronutrients in plants. / Mikkelsted, Frederikke Neergaard; Adén, Daniel; Nikolajsen, Thomas; Laursen, Kristian Holst.

In: Journal of Analytical Atomic Spectrometry, 2024.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Mikkelsted, FN, Adén, D, Nikolajsen, T & Laursen, KH 2024, 'A novel LIBS method for quantitative and high-throughput analysis of macro- and micronutrients in plants', Journal of Analytical Atomic Spectrometry. https://doi.org/10.1039/d4ja00105b

APA

Mikkelsted, F. N., Adén, D., Nikolajsen, T., & Laursen, K. H. (2024). A novel LIBS method for quantitative and high-throughput analysis of macro- and micronutrients in plants. Journal of Analytical Atomic Spectrometry. https://doi.org/10.1039/d4ja00105b

Vancouver

Mikkelsted FN, Adén D, Nikolajsen T, Laursen KH. A novel LIBS method for quantitative and high-throughput analysis of macro- and micronutrients in plants. Journal of Analytical Atomic Spectrometry. 2024. https://doi.org/10.1039/d4ja00105b

Author

Mikkelsted, Frederikke Neergaard ; Adén, Daniel ; Nikolajsen, Thomas ; Laursen, Kristian Holst. / A novel LIBS method for quantitative and high-throughput analysis of macro- and micronutrients in plants. In: Journal of Analytical Atomic Spectrometry. 2024.

Bibtex

@article{8eea0baa8a424634a6b6831a64dbfabf,
title = "A novel LIBS method for quantitative and high-throughput analysis of macro- and micronutrients in plants",
abstract = "Laser induced breakdown spectroscopy (LIBS) is an emerging technique for the analysis of elements in plant tissue. This study reports the validation of a newly developed LIBS instrument and a method for analysis of plant material. The LIBS setup consists of a press, a searing unit, and an analyser with an Nd:YAG laser with a pulse energy of 0.15 mJ operating at a central wavelength of 1064 nm in a nitrogen atmosphere. The LIBS measurements were conducted on 257 plant samples from eight different plant species. The plant samples were also analysed with inductively coupled plasma optical emission spectroscopy (ICP-OES) to obtain reference values for phosphorus (P), potassium (K), magnesium (Mg), sulphur (S), calcium (Ca), iron (Fe), zinc (Zn), manganese (Mn), boron (B), and copper (Cu). Based on the reference values and the LIBS spectra, partial least squares regression was used to build prediction models for each nutrient. Mixed models and specific models for wheat and faba bean were made. Specific models for wheat and faba bean performed better than mixed species models. Prediction models for P, K, Mg, S, Ca, Zn, Fe, B and Cu from wheat were superior and were sufficiently precise and accurate to enable detection of plant nutrient deficiencies. However, for Mn the accuracy needs to be improved. The results document the usefulness of the novel LIBS setup for plant tissue analysis and for detection of plant nutrient deficiencies.",
author = "Mikkelsted, {Frederikke Neergaard} and Daniel Ad{\'e}n and Thomas Nikolajsen and Laursen, {Kristian Holst}",
note = "Publisher Copyright: {\textcopyright} 2024 The Royal Society of Chemistry.",
year = "2024",
doi = "10.1039/d4ja00105b",
language = "English",
journal = "Journal of Analytical Atomic Spectrometry",
issn = "0267-9477",
publisher = "Royal Society of Chemistry",

}

RIS

TY - JOUR

T1 - A novel LIBS method for quantitative and high-throughput analysis of macro- and micronutrients in plants

AU - Mikkelsted, Frederikke Neergaard

AU - Adén, Daniel

AU - Nikolajsen, Thomas

AU - Laursen, Kristian Holst

N1 - Publisher Copyright: © 2024 The Royal Society of Chemistry.

PY - 2024

Y1 - 2024

N2 - Laser induced breakdown spectroscopy (LIBS) is an emerging technique for the analysis of elements in plant tissue. This study reports the validation of a newly developed LIBS instrument and a method for analysis of plant material. The LIBS setup consists of a press, a searing unit, and an analyser with an Nd:YAG laser with a pulse energy of 0.15 mJ operating at a central wavelength of 1064 nm in a nitrogen atmosphere. The LIBS measurements were conducted on 257 plant samples from eight different plant species. The plant samples were also analysed with inductively coupled plasma optical emission spectroscopy (ICP-OES) to obtain reference values for phosphorus (P), potassium (K), magnesium (Mg), sulphur (S), calcium (Ca), iron (Fe), zinc (Zn), manganese (Mn), boron (B), and copper (Cu). Based on the reference values and the LIBS spectra, partial least squares regression was used to build prediction models for each nutrient. Mixed models and specific models for wheat and faba bean were made. Specific models for wheat and faba bean performed better than mixed species models. Prediction models for P, K, Mg, S, Ca, Zn, Fe, B and Cu from wheat were superior and were sufficiently precise and accurate to enable detection of plant nutrient deficiencies. However, for Mn the accuracy needs to be improved. The results document the usefulness of the novel LIBS setup for plant tissue analysis and for detection of plant nutrient deficiencies.

AB - Laser induced breakdown spectroscopy (LIBS) is an emerging technique for the analysis of elements in plant tissue. This study reports the validation of a newly developed LIBS instrument and a method for analysis of plant material. The LIBS setup consists of a press, a searing unit, and an analyser with an Nd:YAG laser with a pulse energy of 0.15 mJ operating at a central wavelength of 1064 nm in a nitrogen atmosphere. The LIBS measurements were conducted on 257 plant samples from eight different plant species. The plant samples were also analysed with inductively coupled plasma optical emission spectroscopy (ICP-OES) to obtain reference values for phosphorus (P), potassium (K), magnesium (Mg), sulphur (S), calcium (Ca), iron (Fe), zinc (Zn), manganese (Mn), boron (B), and copper (Cu). Based on the reference values and the LIBS spectra, partial least squares regression was used to build prediction models for each nutrient. Mixed models and specific models for wheat and faba bean were made. Specific models for wheat and faba bean performed better than mixed species models. Prediction models for P, K, Mg, S, Ca, Zn, Fe, B and Cu from wheat were superior and were sufficiently precise and accurate to enable detection of plant nutrient deficiencies. However, for Mn the accuracy needs to be improved. The results document the usefulness of the novel LIBS setup for plant tissue analysis and for detection of plant nutrient deficiencies.

U2 - 10.1039/d4ja00105b

DO - 10.1039/d4ja00105b

M3 - Journal article

AN - SCOPUS:85196142661

JO - Journal of Analytical Atomic Spectrometry

JF - Journal of Analytical Atomic Spectrometry

SN - 0267-9477

ER -

ID: 395868005