Login / Signup

Application of Viscose-Based Porous Carbon Fibers in Food Processing-Malathion and Chlorpyrifos Removal.

Tamara TasićVedran MilankovićKatarina BatalovićStefan BreitenbachChristoph UnterwegerChristian FürstIgor A PastiTamara Lazarević-Pašti
Published in: Foods (Basel, Switzerland) (2023)
The increasing usage of pesticides to boost food production inevitably leads to their presence in food samples, requiring the development of efficient methods for their removal. Here, we show that carefully tuned viscose-derived activated carbon fibers can be used for malathion and chlorpyrifos removal from liquid samples, even in complex matrices such as lemon juice and mint ethanol extract. Adsorbents were produced using the Design of Experiments protocol for varying activation conditions (carbonization at 850 °C; activation temperature between 670 and 870 °C; activation time from 30 to 180 min; and CO 2 flow rate from 10 to 80 L h -1 ) and characterized in terms of physical and chemical properties (SEM, EDX, BET, FTIR). Pesticide adsorption kinetics and thermodynamics were then addressed. It was shown that some of the developed adsorbents are also capable of the selective removal of chlorpyrifos in the presence of malathion. The selected materials were not affected by complex matrices of real samples. Moreover, the adsorbent can be regenerated at least five times without pronounced performance losses. We suggest that the adsorptive removal of food contaminants can effectively improve food safety and quality, unlike other methods currently in use, which negatively affect the nutritional value of food products. Finally, data-based models trained on well-characterized materials libraries can direct the synthesis of novel adsorbents for the desired application in food processing.
Keyphrases
  • human health
  • risk assessment
  • physical activity
  • machine learning
  • mental health
  • oxidative stress
  • mass spectrometry
  • deep learning
  • climate change
  • aqueous solution
  • big data
  • metal organic framework
  • tissue engineering