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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Identification of Copper in Stems and Roots of Jatropha curcas L. by Hyperspectral Imaging

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Author(s):
Garcia-Martin, Juan Francisco [1] ; Badaro, Amanda Teixeira [2, 3] ; Barbin, Douglas Fernandes [2] ; Alvarez-Mateos, Paloma [1]
Total Authors: 4
Affiliation:
[1] Univ Seville, Fac Quim, Dept Ingn Quim, Seville 41012 - Spain
[2] Univ Campinas UNICAMP, Dept Food Engn, BR-13083862 Campinas - Brazil
[3] Univ Politecn Valencia, Dept Tecnol Alimentos, Camino Vera S-N, Valencia 46022 - Spain
Total Affiliations: 3
Document type: Journal article
Source: PROCESSES; v. 8, n. 7 JUL 2020.
Web of Science Citations: 0
Abstract

The in situ determination of metals in plants used for phytoremediation is still a challenge that must be overcome to control the plant stress over time due to metals uptake as well as to quantify the concentration of these metals in the biomass for further potential applications. In this exploratory study, we acquired hyperspectral images in the visible/near infrared regions of dried and ground stems and roots ofJatropha curcasL. to which different amounts of copper (Cu) were added. The spectral information was extracted from the images to build classification models based on the concentration of Cu. Optimum wavelengths were selected from the peaks and valleys showed in the loadings plots resulting from principal component analysis, thus reducing the number of spectral variables. Linear discriminant analysis was subsequently performed using these optimum wavelengths. It was possible to differentiate samples without addition of copper from samples with low (0.5-1% wt.) and high (5% wt.) amounts of copper (83.93% accuracy, >0.70 sensitivity and specificity). This technique could be used after enhancing prediction models with a higher amount of samples and after determining the potential interference of other compounds present in plants. (AU)

FAPESP's process: 17/17628-3 - Applications of image analyses and NIR spectroscopy for quality assessment and authentication of food products
Grantee:Amanda Teixeira Badaró
Support type: Scholarships in Brazil - Doctorate (Direct)
FAPESP's process: 19/06842-0 - Imaging techniques for determination of pasta composition during cooking
Grantee:Amanda Teixeira Badaró
Support type: Scholarships abroad - Research Internship - Doctorate (Direct)