Water-soluble species and heavy metal contamination of the petroleum refinary area, Jordan

2002 ◽  
Vol 4 (6) ◽  
pp. 990-996 ◽  
Author(s):  
Kamal A. Momani ◽  
Qasem M. Jaradat ◽  
Abed El-Aziz Q. Jbarah ◽  
Ayed A. Omari ◽  
Idrees F. Al-Momani
Keyword(s):  
Heavy Metal ◽  
Metal Contamination ◽  
Heavy Metal Contamination ◽  
Water Soluble ◽  
Soluble Species

scholarly journals Characterization of Ethanol Extract from Agarwood (Aquilaria microcarpa Baill.) Leaf

2018 ◽  
Vol 3 (2) ◽  
pp. 68-74
Author(s):  
Beny Rahmanto ◽  
Wawan Halwany ◽  
Fajar Lestari ◽  
Khoerul Anwar ◽  
Liling Triyasmono ◽  
...  
Keyword(s):  
Heavy Metal ◽  
Metal Contamination ◽  
Heavy Metal Contamination ◽  
Ethanolic Extract ◽  
Ethanol Extract ◽  
Water Soluble ◽  
Organoleptic Properties ◽  
Specific Parameter ◽  
Contamination Levels

The aim of this research is to determine the specific and non-specific parameter from ethanolic extract of A. microcarpa. Specific parameters such as the organoleptic properties, content of water and ethanol soluble compound, and chhromatogram profile of the extract. In contrast, the non-specific parameter includes drying losses, ash levels, microbiological contamination levels, and heavy metal contamination levels. The results showed that the organoleptic properties of ethanolic extract of A. microcarpa was thick, blackish brown color, bitter taste and have distinctive odor. The average content of water-soluble compounds of 66.93%, ethanol-soluble of 47.97%, and chromatogram profile with Rf 0.636. The non-specific parameters results were drying losses of 5.50%, total ash content of 3.73%, acid-insoluble ash of 2.13%, microbial contamination testing results of 1.2x102-5.5x103 colonies/g, and total mold/ yeast contaminants of 10-100 colonies/g. Heavy metal contamination Pb levels and Cd levels were 5.47 mg/kg and 0.19 mg/kg respectively. These studies suggested that the observed specific and non-specific parameters may be helpful for establishing pharmacopoeia standards of A. microcarpa and to ensure uniformity of extract effect.

ASSESSMENT OF HEAVY METAL CONTAMINATION AND IMPACT ON SURFACE WATERS IN IASI CITY, ROMANIA

2009 ◽  
Vol 8 (6) ◽  
pp. 1541-1551
Author(s):  
Corneliu Horaicu ◽  
Florea Cornel Gabrian ◽  
Irina Grozavu ◽  
Catalin Constantin Calu ◽  
Monica Horaicu ◽  
...  
Keyword(s):  
Heavy Metal ◽  
Surface Waters ◽  
Metal Contamination ◽  
Heavy Metal Contamination

Esr Indication of Heavy Metal Contamination of Urban Atmosphere

1993 ◽  
Vol 27 (7-8) ◽  
pp. 263-269 ◽  
Author(s):  
B. Iosefzon-Kuyavskaya ◽  
N. Myrlyan ◽  
A. Shames
Keyword(s):  
Heavy Metal ◽  
Air Pollution ◽  
Electron Spin Resonance ◽  
Free Radical ◽  
Metal Contamination ◽  
Heavy Metal Contamination ◽  
Urban Atmosphere ◽  
Stable Free Radical ◽  
Spin Resonance ◽  
Line Characteristic

Electron Spin Resonance (ESR) was used for the examination oi dust samples collected from snow in an urban area. On the main doublet ESR line attributed to the signal of paramagnetic metals, a singlet line characteristic for stable free radical centers (FRC) was observed. A negative correlation of significant level between FRC signal intensity and heavy metal (HM) content was established. It was shown that FRC line intensity of dust may be used as a surrogate parameter for the estimation of air pollution by HM.

A brief Survey of Assessment models to Predict stress Level of Heavy Metals in Soils

2020 ◽  
Vol 13 ◽  
Author(s):  
Sangeetha Annam ◽  
Anshu Singla
Keyword(s):  
Economic Growth ◽  
Heavy Metals ◽  
Heavy Metal ◽  
Ecological Risk ◽  
Stress Level ◽  
Metal Contamination ◽  
Heavy Metal Contamination ◽  
Human Life ◽  
High Stress ◽  
Heavy Metal Stress

Abstract: Soil is a major and important natural resource, which not only supports human life but also furnish commodities for ecological and economic growth. Ecological risk has posed a serious threat to the ecosystem by the degradation of soil. The high-stress level of heavy metals like chromium, copper, cadmium, etc. produce ecological risks which include: decrease in the fertility of the soil; reduction in crop yield & degradation of metabolism of living beings, and hence ecological health. The ecological risk associated, demands the assessment of heavy metal stress levels in soils. As the rate of stress level of heavy metals is exponentially increasing in recent times, it is apparent to assess or predict heavy metal contamination in soil. The assessment will help the concerned authorities to take corrective as well as preventive measures to enhance the ecological and hence economic growth. This study reviews the efficient assessment models to predict soil heavy metal contamination.

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