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Hyperspectral images: a qualitative approach to evaluate the chemical profile distribution of Ca, K, Mg, Na and P in edible seeds employing laser-induced breakdown spectroscopy

DOI:10.1039/c9ay01916b 期刊:Analytical Methods 出版年份:2019 更新时间:2025-09-12 10:27:22
摘要: In the present study, laser-induced breakdown spectroscopy (LIBS) combined with chemometric tools was used to investigate the metal composition in nine seed samples. The samples were directly analyzed, and a matrix with 9 rows and 9 columns (81 points) and 10 consecutive pulses were analyzed in each point. A total of 810 emission spectra were collected from 186 to 1042 nm from the surface and bulk of the sample. The dataset was normalized by Euclidian norm and principal component analysis (PCA) was used for the initial exploratory investigation. Calcium, Mg, Na, K and P were mainly identified in all samples; the distribution of metals in these samples is not completely homogeneous, however, i.e., composition of the elements change from one layer to another. This fact can be probably related to the absorption capability of nutrients resulting from different factors such as soil characteristics, physiology of the plant, water source composition and fertilizers which can influence the distribution of the elements in different seeds. To confirm the elements observed by LIBS, the samples were digested using microwave-assisted digestion, and Ca, K, Mg, Na and P were determined by inductively coupled plasma-optical emission spectrometry (ICP-OES). In addition, some minor nutrients such as S and Zn were also investigated and the relationships between elements were observed through the Pearson correlation graph, and some of them, such as Mg and Na, P and Na, S and P, S and Zn, are extremely correlated; it means that, for example, when the concentration of Mg increases, that of Na also increases.
作者: Raimundo R. Gamela,Marco A. Speran?a,Daniel F. Andrade Filho,Edenir R. Pereira
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To evaluate the chemical profile distribution of Ca, K, Mg, Na and P in edible seeds employing laser-induced breakdown spectroscopy (LIBS) combined with chemometric tools.

The combination of LIBS with chemometric tools allowed for the qualitative evaluation of the chemical profile distribution of Ca, K, Mg, Na and P in edible seeds. Hyperspectral images provided elemental distribution on the surface and in the bulk of the samples, showing variation of elements from one layer to another. The study highlights the importance of understanding the chemical distribution of elements in seeds for nutritional and agricultural purposes.

The study did not evaluate the chemical distribution of Cu, Mn, S and Zn using LIBS due to insufficient sensitivity of the technique for these elements.

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