Migration of Cadmium Wrapping Paper and Food: A 24 Factorial Design Approach

Authors

  • Muhammad, A. I. Department of Chemistry, Faculty of Applied and Natural Sciences, Ibrahim Badamasi Babangida University, Lapai, PMB 11, Niger State, Nigeria. Author
  • Ibrahim, I. L. Department of Chemistry, Faculty of Applied and Natural Sciences, Ibrahim Badamasi Babangida University, Lapai, PMB 11, Niger State, Nigeria. Author
  • Musah, M. Department of Chemistry, Faculty of Applied and Natural Sciences, Ibrahim Badamasi Babangida University, Lapai, PMB 11, Niger State, Nigeria. Author
  • Mathew, J.T. Department of Chemistry, Faculty of Applied and Natural Sciences, Ibrahim Badamasi Babangida University, Lapai, PMB 11, Niger State, Nigeria. Author

DOI:

https://doi.org/10.33003/

Keywords:

Bean cake , factorial design , heavy metal migration, variables, newspaper

Abstract

The utilization of used paper as a packaging material by street food vendors is promoted as they are not 
expensive and easy to use. But the toxic potential of these ink stained papers has raised questions concerning 
the safety of these papers for wrapping food. This research seeks to investigate the migration of cadmium 
(Cd) from newspaper to bean cake under varying conditions, focusing on the effects of temperature (°C), 
contact time (minutes), food mass (g), and wrapping paper surface area (cm²) using factorial design. The 
samples under varying conditions were analyzed for cadmium concentration using an atomic absorption 
spectrophotometer.  The optimum concentration of Cd was 0.075 mg/L, achieved at 65 °C, 20 minutes, 10 
g, and 200 cm², with a predicted response of 0.075 mg/L and a residual value of 0.000. The results indicate 
that lower temperatures, longer contact times, smaller food masses, and reduced surface areas can minimize 
Cd migration. Statistical analysis revealed that surface area (P < 0.05), as well as interactions between 
temperature-contact time (P = 0.027) and temperature-mass (P = 0.039), significantly influenced Cd 
migration. While the overall model's p-value (0.066) suggests limited robustness, the R² value (89.15%) 
indicates a strong fit, with an adjusted R² of 67.44% highlighting potential redundancy in some predictors. 
These findings demonstrate that factorial design can effectively predict factors influencing heavy metal 
migration and provide strategies for its reduction in food packaging systems.

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Published

2025-03-28