INAA of some phosphates used in fertilizer industries

Pantelica, A.; Sălăgean, M.; Georgescu, I. I.; Pincovschi, E.

doi:10.1007/bf02033788

Cited by 31 publications

(5 citation statements)

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“…The range of Zn in local PR determined in the present study is 6.4-52.4. The concentration 25-200 µg/g of Zn is well-thought-out as adequate quantity for agriculture fields (Pantelica et al, 1997;Vaverková, and Adamcová, 2014;Dargahi et al, 2016). The quantity of Zn calculated in this study 25.7 µg/g of rock lie within the range i.e.…”

Section: Resultssupporting

confidence: 62%

Appraisal of heavy metals and nutrients from phosphate rocks, Khyber Pakhtunkhwa, Pakistan

Int¹

2019

Preprint

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This study focuses on fundamental scrutiny of phosphate rock samples in order to investigate the elemental composition (Zinc, Cadmium, Lead, Sodium and Potassium) by Flame Photometry & Atomic Absorption Spectroscopy. The samples have been collected from Hazara Division, Khyber Pakhtunkhwa (KPK), Peshawar. Relative study on heavy metal content and nutrients was performed to find out the comparative resources quality. The sample S5 exhibits highest Cadmium contents while S6 shows higher concentration of other metals. The local resources indicate higher quantity of Lead (Pb). The remedy for this excessive amount of Pb may probably be done by complete separation and disposal of waste phosphogypsum. The phosphate rocks found in the region are good enough to be utilized as raw material for fertilizer manufacturing plants.

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Section: Resultssupporting

confidence: 62%

Appraisal of heavy metals and nutrients from phosphate rocks, Khyber Pakhtunkhwa, Pakistan

Int¹

2019

Preprint

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“…In addition, most phosphate ores have to be concentrated or beneficiated before they can be used or sold on the international phosphate market. Different techniques may be used at the (Taylor, Kim, Smidt, Kratz) unpublished data, Al-Shawi and Dahl (1999a, b), Azouazi et al (2001), Barisic et al (1992), Bech et al (2010), Bramley (1990), Camelo et al (1997, Cevik et al (2010), Chandrajith et al (2010), Charter et al (1995), Cronin et al (2000Cronin et al ( , 2003, EFMA (2000), Erikssen (2001), Gargouri et al (2011), Germann et al (1984, Hakam and Choukri (2008), Kpmblekou and Tabatabai (1994), Lambert et al (2007), Lauria et al (2006), Loganathan et al (2003), Lottermoser (2009), Manohran et al (1996, Mazzilli et al (2011), McBride andSpiers (2001), McLaughlin et al (1996), Menzel (1968), Mermut et al (1996), Mirlean and Roisenberg (2007), Molina et al (2009), Notholt et al (1989, Ogunleye et al (2002), Pantelica et al (1997), Raven et al (1997), Righti et al (2005), Roemer et al (2010), Roselli et al (2009), Saueia et al (2005, Senesi et al (1999), Syers et al (1986), Takeda et al (2006), Tankard (1974), …”

Section: Phosphate Rockmentioning

confidence: 95%

Trace Element Contaminants and Radioactivity from Phosphate Fertiliser

Taylor

Kim

Smidt

et al. 2016

Phosphorus in Agriculture: 100 % Zero

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A risk ranking model was developed to provide a systematic evaluation of the range and quantity of 28 elemental contaminants applied to land in New Zealand and applied to mineral P fertilisers. The methodology is transparent, flexible and robust and allows contamination issues to be ranked according to their real or potential impact. The quantitative ranking model is based on the relative importance of each element in relation to accumulation in soil, transfer to water or uptake by plants, toxicity to soil organisms, plants and people, and the contribution of any radioactive isotopes. The highest risk score for potential environmental significance of P fertiliser borne trace element contaminants was found for uranium, followed (in decreasing order) by cadmium, mercury, boron, fluoride, selenium, arsenic, silver and rare earth elements. The lowest score (rank 28) was attributed to strontium.

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“…It is indicated by the high factor loadings for Lanthanides, Ba, Cs, Sc and Fe, which are among the main constituents of the raw material. [18,23,24] The PC2 accounts for nearly 21% of the total variance, and due to the high loadings of Co, Mo and Sb, as well as additionally significant contributions of Zn and As, could be attributed to a combined impact of oil refinery activity, coal burning and vehicle traffic in the urban area.…”

Section: Dry Moss-variablesmentioning

confidence: 99%

Comparison of dry and living Sphagnum palustre moss samples in determining their biocumulative capability as biomonitoring tools

Szczepaniak

Astel

Simeonov

et al. 2007

Journal of Environmental Science and Health, Part A

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Dry and living Sphagnum palustre moss samples were compared in parallel in order to study their biocumulative capability as biomonitoring tools. The two biomonitoring forms were used and compared to evaluate advantages and disadvantages of both preparation approaches and to choose the most suitable tool. The study was performed in an urban area to identify the main pollution sources. Cluster Analysis and Principal Components Analysis were used in order to identify specific element profiles attributed to various sources impacting both dry and living plant composition. A large number of tracer elements were initially tested by multivariate statistical data treatment but it turned out that a much smaller number of them could be used in modeling. Consequently, future monitoring can be performed using fewer tracers without losing significant information. Environmetric results were compared with absolute concentration levels of the indicated tracer elements and also compared at various locations. The contribution of pollution sources to the total concentration of elements in biomonitors was determined.

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INAA of some phosphates used in fertilizer industries

Cited by 31 publications

References 1 publication

Appraisal of heavy metals and nutrients from phosphate rocks, Khyber Pakhtunkhwa, Pakistan

Appraisal of heavy metals and nutrients from phosphate rocks, Khyber Pakhtunkhwa, Pakistan

Trace Element Contaminants and Radioactivity from Phosphate Fertiliser

Comparison of dry and living Sphagnum palustre moss samples in determining their biocumulative capability as biomonitoring tools

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