AI Article Synopsis

  • Food additives like TBHQ can improve food appeal but may pose serious health risks, including neurotoxicity.
  • The study focuses on developing a sensing platform using copper tungstate nanoparticles to improve detection of TBHQ in food products.
  • The newly synthesized CuWO nanoparticles offer excellent sensitivity, selectivity, and low detection limits, making them effective for real-time monitoring of food quality.

Article Abstract

Food additives enhance sensory pleasure and improve marketability in food product formulations, yet their potential health risks are highly consequential. Tertiary butylhydroquinone (TBHQ), in this regard, has a controversial reputation owing to its neurotoxic effects, which include convulsions and other chronic issues. This situation underscores the need for an advanced electrochemical sensing platform. The current study advocates the utilization of copper tungstate nanoparticles to enhance the sensitivity, selectivity, and efficiency in TBHQ detection, thus addressing the challenges posed by the excessive use of additives and safeguarding the integrity of the food supply chain. Hydrothermally synthesized CuWO nanoparticles exhibited superior physicochemical and morphological characteristics, bringing about wide linear response ranges (0.01 to 789 μM), high selectivity, excellent anti-interference capabilities, and a low detection limit of 0.9 nM (S/N = 3). The CuWO modified screen printed carbon electrode (SPCE) presents promising recovery ranges in food samples, facilitating real-time monitoring and streamlining the quality assessment of food additives.

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http://dx.doi.org/10.1016/j.foodchem.2024.141340DOI Listing

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Article Synopsis
  • Food additives like TBHQ can improve food appeal but may pose serious health risks, including neurotoxicity.
  • The study focuses on developing a sensing platform using copper tungstate nanoparticles to improve detection of TBHQ in food products.
  • The newly synthesized CuWO nanoparticles offer excellent sensitivity, selectivity, and low detection limits, making them effective for real-time monitoring of food quality.
View Article and Find Full Text PDF

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