Abstract: Heavy metals pollution is a worldwide issue which requires close monitoring. The presence of naturally occurring cyanobacteria in water bodies makes them good candidates as bioindicators for heavy metals. In this paper, a novel bioindicator using naturally occurring carotenoids for heavy metals detection is reported. The content of carotenoids in cyanobacteria decreased in the presence of heavy metals, with the measurement carried out using spectrophotometer (λ = 440 nm). From the experiment, the cyanobacteria from the lag phase and stationary phase were suitable to be used as the bioindicator, while the detection ranges of Cu and Pb were within 0.01 mg/L to 10.00 mg/L. The lowest detection limits for both Cu and Pb were 0.01 mg/L respectively.

• Publication Date: 03-Aug-2014
• DOI: 10.15224/978-1-63248-004-0-19
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Abstract: The aim of this research is applying sigmoid growth model to determine the mung bean height growth pattern, in order to find out the important period during the plant growth. The data used was secondary data of mung bean plant with nitrogen fertilizer treatment. Data were collected for three months in a week interval. The analysis result showed that Richards model is suitable in describing the plant growth pattern, as the adjusted coefficient of determination is more than 99%. The Richards growth curve and the trend of the growth rate were also drawn. Analyzing the trend, it was found that the maximum growth rate happens at about five weeks after planting and at that time the plant height is about 33 cm. It means that the important period is at about or just before week five after planting.

• Publication Date: 03-Aug-2014
• DOI: 10.15224/978-1-63248-004-0-20
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• Downloads: 0