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Determination and multivariate evaluation of the mineral composition of red jambo (Syzygium malaccense (L.)). Food Chem 2022; 371:131381. [PMID: 34808774 DOI: 10.1016/j.foodchem.2021.131381] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Revised: 07/30/2021] [Accepted: 09/03/2021] [Indexed: 12/24/2022]
Abstract
This work aimed to evaluate the mineral composition of twelve samples of red jambo (Syzygium malaccensis) collected in 10 cities in the state of Bahia. The samples were digested in a digester block with a reflux system and cold finger, and the analytes were determined by optical emission spectrometry with inductively coupled plasma. The accuracy of the method was confirmed by analyzing NIST 1570a certified reference material (spinach leaves) at a 95% confidence level. The results were evaluated through Principal Component Analysis and Hierarchical Cluster Analysis, which allowed the identification of outliers in the results of the city of Jaguaquara. The analyte concentrations in the samples (mg 100 g -1) comprised a range of: Ca (3.0-28.9), Fe (0.035-0.125), K (134.8-197.5), Mg (2.7-19.8), Mn (0.012-0.131), Na (0.5-10.8), P (0.24-13.5), Sr (0.010-0.314), and Zn (0.026-0.129). This demonstrates that the fruit can be indicated as a potential nutritional supplement in human nutrition.
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Costa FS, Leal RVP, Pacheco CSV, Amorim FÃBAC, de Jesus RM, Santos LN, da Silva EGOP. Multivariate optimization of an ultrasound-assisted extraction procedure for the determination of Cu, Fe, Mn, and Zn in plant samples by flame atomic absorption spectrometry. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2020; 12:2509-2516. [PMID: 32930241 DOI: 10.1039/d0ay00554a] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/14/2023]
Abstract
In this work, a simple, easy, and fast ultrasound-assisted extraction procedure for the determination of Cu, Fe, Mn, and Zn in plant samples was developed. Sample preparation conditions were optimized in a multivariate manner using mixture design and Box-Behnken. The extraction conditions adequate to obtain the maximum response were 90% power, 10 minutes, 40 °C temperature, and using an extraction solution composed of HNO3 and HCl at a concentration of 0.5 and 1.1 mol L-1, respectively, for a volume of 10 mL and 250 mg of samples. Accuracy was verified from the analysis of a certified reference material (Apple leaves, NIST 1515) yielding recoveries between 89 and 98% for the procedure. Precision was evaluated in a repeatability study (n = 10), yielding RSDs less than 6.7%, and the limits of quantification (mg kg-1) were 0.95, 2.42, 1.31, and 1.18 for Cu, Fe, Mn, and Zn, respectively. The concentrations determined in the stem and leaf of the mangrove species varied according to the collection point and the tissue, being consistent with other studies. The proposed procedure was efficient and reliable for elemental determination in plant samples, with the advantages of low cost and reagent consumption besides short analysis time as a valid alternative to the conventional sample preparation procedure.
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Affiliation(s)
- Floriatan Santos Costa
- Universidade Estadual de Santa Cruz, Department of Exact and Technological Sciences, Ilhéus, BA 45662-900, Brazil.
- Universidade Federal do Paraná, Department of Chemistry, Curitiba, PR 81530-900, Brazil
| | - Raquel Viana Pinto Leal
- Universidade Estadual de Santa Cruz, Department of Exact and Technological Sciences, Ilhéus, BA 45662-900, Brazil.
| | | | - FÃ Bio Alan Carqueija Amorim
- Universidade Estadual de Santa Cruz, Department of Exact and Technological Sciences, Ilhéus, BA 45662-900, Brazil.
| | - Raildo Mota de Jesus
- Universidade Estadual de Santa Cruz, Department of Exact and Technological Sciences, Ilhéus, BA 45662-900, Brazil.
- Instituto Nacional de Ciência e Tecnologia de Energia e Ambiente, Universidade Federal da Bahia, Salvador, BA 40170-115, Brazil
| | - Luana Novaes Santos
- Universidade Estadual de Santa Cruz, Department of Exact and Technological Sciences, Ilhéus, BA 45662-900, Brazil.
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