Using laser-induced breakdown spectroscopy for quantitative analysis, the researcher aims to use linear regression in finding the relationship between signal intensity and the concentration of the substance. So far, laser-induced breakdown spectroscopy is a young but promising method (shown to be effective and quick in qualitative analyses) but on the aspect of quantitative analyses, it is still somewhat semi-quantitative (that is if it's interpreted from the view of a beginner using the device) such that the relationship in between the signal intensity and concentration is found rather than directly looking for a more direct unit such as grams, milligrams, or parts per million. 

Using signal intensity as a variable is somewhat difficult especially when an undergraduate interested (but not highly skilled) in the use of Laser induced breakdown spectroscopy tries to interpret data. This is because the signal intensity can be disrupted by many other factors (such as the disruption of the atmosphere of the sample towards the light path as well as the need for uniformity of the sample compositions). For heavy metal analyses (such as cadmium, lead, and chromium), what can be a good calibration curve in order to prevent false results as well as underestimation/overestimation of data? :) 

This is for our study on mycoremediation of tropical white-rot fungi on heavy metal contaminated soil sites, and we're very interested and set in the use of LIBS since unlike other spectroscopic methods, it does not need to have sample preparations and other tedious solubilizations of samples; which are methods that can contaminate our samples. :) 

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