Principal Component Analysis of Trace Elements in Serbian Wheat

Škrbić, Biljana; Đurišić-Mladenović, Nataša; Cvejanov, J.

doi:10.1021/jf0402577

Cited by 46 publications

(23 citation statements)

References 15 publications

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“…Principal component analysis (PCA) is a method of projection and dimensional data reduction (Krbi et al . ), in which there is an association between analyses in order to verify the degree of participation of each of them (Heenan et al . ), such as WF and FR in the instrumental and sensory texture parameters of breads.…”

Section: Introductionmentioning

confidence: 99%

Relationship between Instrumental and Sensory Texture Profile of Bread Loaves Made with Whole‐Wheat Flour and Fat Replacer

Scheuer

Luccio

Zibetti

et al. 2015

Journal of Texture Studies

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Food texture is one of the most widely measured quality attributes during processing and consumption, being measured by instrumental and sensory means. The aims of this study were to measure the textural parameters of the crumb of 14 whole-wheat bread loaves made with whole-wheat flour and fat replacer using instrumental methods and a sensory trained panel, and to determine the relationship between instrumental and sensory assessments. The data of instrumental and sensory texture were individually subjected to analysis of variance and correlated using principal component analysis. The analyses showed that for both (instrumental and sensory texture), the less firm, more elastic and more cohesive bread loaves have <60% whole-wheat flour, regardless of the content of fat replacer. The hardness attribute, measured with a texturometer, was consistent with the results of other published works and with our sensory evaluation as the matrix showed correlation coefficients with high values.

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Section: Introductionmentioning

confidence: 99%

Relationship between Instrumental and Sensory Texture Profile of Bread Loaves Made with Whole‐Wheat Flour and Fat Replacer

Scheuer

Luccio

Zibetti

et al. 2015

Journal of Texture Studies

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“…Both nutritional essentiality and toxicity of an element depend on its concentration and dietary intake [6].…”

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confidence: 99%

The content of essential and toxic elements in wheat bran and flour

Ludajić

Pezo

Filipovic

et al. 2015

Hem Ind

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The research was conducted with the aim of examining the presence of toxic elements (Pb, Cd, As and Hg) and essential elements (Zn, Cu, Fe and Mn) in selected samples of wheat flour and bran by Inductively Coupled Plasma Mass Spectrometry. The principal component analysis has been used for assessing the variety of samples. Quality results show that the first two principal components, accounting for 84.22% of the total variability, can be considered sufficient for data representation and the first two principal components for toxic elements and essential microelements. Zn (16.38%), Mn (16.19%), Cu (15.73), Fe (15.44%) and Cd (14.99%) have been found the most influential for the first factor coordinate calculation, while the contribution of Hg (89.09%) has been the most important variable for the second factor coordinate calculation.

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“…Principal component analysis (PCA) PCA has successful application in various field of chemistry, including environmental analysis and food chemistry (Heberger et al, 1999, Csomos et al, 2002, Heberger et al, 2003, Golobočanin et al, 2004, Škrbić et al, 2005b, Škrbić and Onjia, 2007, Škrbić and Ðurišić-Mladenović, 2007, Škrbić et al, 2009. This is the multivariate analytical tool used to reduce a set of original variables and to extract a small number of latent factors (principal components, PCs) for analyzing relationships among the observed variables (which are metal contents in this study) and classification of samples.…”

Section: Spearman's Non-parametric Correlation Testmentioning

confidence: 99%

Determination of Metal Contents in Sugar Beet (Beta vulgaris) and Its Products: Empirical and Chemometrical Approach

Škrbić

Đurišić-Mladenović

Mačvanin

2010

FSTR

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In order to get a better insight into the metal patterns of the investigated samples, three statistical techniques were used. Principal component analysis (PCA) and cluster analysis (CA) approved to be more powerful than Spearman's test in revealing the specific correlations among the variables (i.e. metal contents). PCA and CA pointed out the specific metal pattern of molasses on one hand and of sugar beet, extracted and dried sugar beet pulps on the other. Moreover, the chemometrical approach pointed out that main components that classified the metal behavior in the examined samples were the ones correlated with Na and K on one hand, and on the other hand with the remaining metals.Keywords: sugar beet, metals content, AAS, principal component analysis, cluster analysis *To whom correspondence should be addressed. E-mail: biljana@tf.uns.ac.rs IntroductionIt is well known fact that the chemical composition of plants reflects in general the elemental composition of the growth media. Higher plants take up metals from air (or water) by the shoots, but the absorption from soil by roots could be regarded as the main pathway of elements to plants (Kabata-Pendias and Pendias, 2000). The concentration of metallic elements in soils is associated with biological and geochemical cycles and is influenced by anthropogenic activities, such as agricultural practices, transport, industrial activities, waste treatment and disposal (He et al., 2005). Metals exist in soil in immobile (sulphides, phosphates, silicates, etc.) and mobile forms, with later being more important for understanding the migration patterns and the uptake by plants. It has been well documented that the soil contamination is likely to result in a corresponding contamination of harvested crops and the food consumers (Fergusson, 1990, Younas et al., 1998, Nan et al., 2002. Furthermore, processing of raw materials and the process conditions (additives, pH, etc.) could also influence the quality of the final food products including their metal contents (de Brujin and Bout, 1999, Mohamed, 1999).The elemental composition of sugar beet has been a subject of few previous studies investigating sugar beet quality and its influence on the quality of the final products (Mauch and Farhoudi, 1979/80, Škrbić et al., 2005a, Škrbić and Ðurišić-Mladenović, 2005. Additionaly, the heavy element contents of sugar beet has been investigated to determine the beet uptake as a consequence of either the growth on contaminated soils (Bojinova et al., 1996) or different agricultural practices (Saleh et al., 1999, Mantovi et al., 2003. The contents of alkaline and alkaline earth metals in sugar beet were also the subject of a sugar beet nutrition study by Wakeel et al. (2009). The main sugar beet product, white sugar, is referred as a very pure food product, although it contains a very small but significant amount of impurities. The control of inorganic impurities in the sugar, i.e. trace elements, is important because of its fundamental nutritional role in the diet of humans and especi...

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Principal Component Analysis of Trace Elements in Serbian Wheat

Cited by 46 publications

References 15 publications

Relationship between Instrumental and Sensory Texture Profile of Bread Loaves Made with Whole‐Wheat Flour and Fat Replacer

Relationship between Instrumental and Sensory Texture Profile of Bread Loaves Made with Whole‐Wheat Flour and Fat Replacer

The content of essential and toxic elements in wheat bran and flour

Determination of Metal Contents in Sugar Beet (Beta vulgaris) and Its Products: Empirical and Chemometrical Approach

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