Food analysis for lead using furnace atomic absorption and a L'vov platform

Area of Science:

• Analytical Chemistry
• Environmental Science

Background:

• Furnace atomic absorption spectrometry (FAAS) is sensitive for trace metal analysis but susceptible to matrix interferences.
• Sample matrices can suppress analyte signals, leading to inaccurate results in lead determination.

Purpose of the Study:

• To enhance the accuracy and precision of lead determination using FAAS.
• To mitigate matrix interferences in the analysis of various sample types.

Main Methods:

• Utilized a L'vov platform within the furnace tube to control atomization temperature.
• Incorporated ammonium phosphate as a matrix modifier for samples and standards.
• Compared lead signal sensitivity and precision with and without the L'vov platform and modifier.

Main Results:

• The L'vov platform delayed atomization, leading to more consistent and matrix-independent lead behavior.
• Ammonium phosphate addition effectively minimized signal suppression caused by sample matrices.
• Average lead response suppression of 60% in food samples was virtually eliminated, improving precision.

Conclusions:

• The L'vov platform combined with ammonium phosphate matrix modification significantly improves lead determination by FAAS.
• This method enhances sensitivity and precision while reducing matrix effects in complex samples.
• The optimized FAAS technique offers a more reliable approach for trace lead analysis.