The classification of sea cucumber (Apostichopus japonicus) according to region of origin using multi-element analysis and pattern recognition techniques

Liu, Xiaofang; Xue, Changhu; Wang, Yuming; Li, Zhaojie; Xue, Yong; Xu, Jie

doi:10.1016/j.foodcont.2011.08.025

Cited by 56 publications

(29 citation statements)

References 16 publications

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“…The Jallah Jeem shallow groundwater samples were less contaminated than the deeper groundwater samples. This trend was opposite to the trend described in previous studies conducted in Lahore and Kasur districts and East Punjab (Farooqi et al 2007a, b); but showed a similar pattern to a study conducted in China (Liu et al 2012). The Dur Pur samples had a mean F − concentration of 9.4 ppm and a range of 5.5-26.4 ppm ( Table 1).…”

Section: Resultscontrasting

confidence: 95%

Co-occurrence of arsenic and fluoride in the groundwater of Punjab, Pakistan: source discrimination and health risk assessment

Rasool

Xiao

Baig

et al. 2015

Environ Sci Pollut Res

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The present study discusses elevated groundwater arsenic (As) and fluoride (F(-)) concentrations in Mailsi, Punjab, Pakistan, and links these elevated concentrations to health risks for the local residents. The results indicate that groundwater samples of two areas of Mailsi, Punjab were severely contaminated with As (5.9-507 ppb) and F(-) (5.5-29.6 ppm), as these values exceeded the permissible limits of World Health Organization (10 ppb for As and 1.5 ppm for F(-)). The groundwater samples were categorized by redox state. The major process controlling the As levels in groundwater was the adsorption of As onto PO4 (3-) at high pH. High alkalinity and low Ca(2+) and Mg(2+) concentrations promoted the higher F(-) and As concentrations in the groundwater. A positive correlation was observed between F(-) and As concentrations (r = 0.37; n = 52) and other major ions found in the groundwater of the studied area. The mineral saturation indices calculated by PHREEQC 2.1 suggested that a majority of samples were oversaturated with calcite and fluorite, leading to the dissolution of fluoride minerals at alkaline pH. Local inhabitants exhibited arsenicosis and fluorosis after exposure to environmental concentration doses of As and F(-). Estimated daily intake (EDI) and target hazard quotient (THQ) highlighted the risk factors borne by local residents. Multivariate statistical analysis further revealed that both geologic origins and anthropogenic activities contributed to As and F(-) contamination in the groundwater. We propose that pollutants originate, in part, from coal combusted at brick factories, and agricultural activities. Once generated, these pollutants were mobilized by the alkaline nature of the groundwater.

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Section: Resultscontrasting

confidence: 95%

Co-occurrence of arsenic and fluoride in the groundwater of Punjab, Pakistan: source discrimination and health risk assessment

Rasool

Xiao

Baig

et al. 2015

Environ Sci Pollut Res

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“…PCA and HCA are multivariate analysis techniques commonly employed in the evaluation of food data allowing the establishment of similarities and differences in a data set. [11][12][13][14][15][16][17][18][19][20][21] In this study, the contents of eleven trace elements (As, Cd, Cr, Cu, Li, Mn, Mo, Ni, Pb, Sb and Se) were determined in muscle, gills, stomach, liver, kidney and gonads of six selected fish species from Todos os Santos Bay, Bahia State, Brazil. The employed analytical technique was the inductively coupled plasma mass spectrometry (ICP-MS) and the investigated fish species were Caranx latus ("guarajuba"), Bagre marinus ("bagre"), Archosargus rhomboidalis ("sambuio"), Lutjanus synagris ("ariacó"), Scomberomorus cavalla ("cavala") and Sphyraena guachancho ("bicuda").…”

Section: Introductionmentioning

confidence: 99%

Assessment of Trace Elements in Tissues of Fish Species: Multivariate Study and Safety Evaluation

Silva¹,

Costa²,

Souza³

et al. 2016

Journal of the Brazilian Chemical Society

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Levels of As, Cd, Cr, Cu, Li, Mn, Mo, Ni, Pb, Sb and Se in muscle, gill, stomach, liver, kidney and gonad tissues of six different fish species (Caranx latus, Bagre marinus, Archosargus rhomboidalis, Lutjanus synagris, Scomberomorus cavalla and Sphyraena guachancho) from the Todos os Santos Bay (Bahia State, Brazil) were evaluated. The elements were determined by inductively coupled plasma mass spectrometry (ICP-MS) after wet digestion using reflux system with a cold finger. The detected concentration ranges were as follows (mg kg -1 dry weight): < 0.49-27.31 for As, < 0.013-1.12 for Cd, 0.38-6.05 for Cr, 0.17-28.12 for Cu, < 0.092-1.19 for Li, 0.16-55.9 for Mn, < 0.034-1.24 for Mo, < 0.067-15.57 for Ni, < 0.013-0.60 for Pb, < 0.144 for Sb and 0.57-14.6 for Se. Highest concentrations of trace elements were observed in kidney, liver and gill tissues.

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“…Statistical analysis of the data was performed with SPSS v. 17 software (SPSS, Cary, NC, USA). A hierarchical cluster analysis was carried out to classify all herbal samples into several groups using squared Euclidean distances . The hierarchical clustering results were displayed graphically using a tree diagram (dendrogram) .…”

Section: Discussionmentioning

confidence: 99%

Classification of Chinese herbs based on the cluster analysis of delayed luminescence

Pang

Yang

et al. 2015

Luminescence

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Traditional Chinese material medica are an important component of the Chinese pharmacopeia. According to the traditional Chinese medicinal concept, Chinese herbal medicines are classified into different categories based on their therapeutic effects, however, the bioactive principles cannot be solely explained by chemical analysis. The aim of this study is to classify different Chinese herbs based on their therapeutic effects by using delayed luminescence (DL). The DL of 56 Chinese herbs was measured using an ultra-sensitive luminescence detection system. The different DL parameters were used to classify Chinese herbs according to a hierarchical cluster analysis. The samples were divided into two groups based on their DL kinetic parameters. Interestingly, the DL classification results were quite consistent with classification according to the Chinese medicinal concepts of 'cold' and 'heat' properties. In this paper, we show for the first time that by using DL technology, it is possible to classify Chinese herbs according to the Chinese medicinal concept and it may even be possible to predict their therapeutic properties.

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The classification of sea cucumber (Apostichopus japonicus) according to region of origin using multi-element analysis and pattern recognition techniques

Cited by 56 publications

References 16 publications

Co-occurrence of arsenic and fluoride in the groundwater of Punjab, Pakistan: source discrimination and health risk assessment

Co-occurrence of arsenic and fluoride in the groundwater of Punjab, Pakistan: source discrimination and health risk assessment

Assessment of Trace Elements in Tissues of Fish Species: Multivariate Study and Safety Evaluation

Classification of Chinese herbs based on the cluster analysis of delayed luminescence

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