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Detection of food additives based on an integrated self-injected metasurface microfluidic sensor. | LitMetric

AI Article Synopsis

  • Advanced sensing equipment can effectively detect food additives, improving the assessment of processed food safety, while traditional methods are often complex and slow.
  • The study introduces a terahertz microfluidic sensor featuring a metasurface design that enhances sensitivity and includes a self-injection micropump for stable liquid flow rates.
  • Experiments using this sensor successfully identified potassium sorbate and sodium benzoate in beverages, achieving an average sensitivity of 152.8 GHz·RIU, demonstrating its potential for practical applications.

Article Abstract

Advanced sensing equipment exhibits high sensitivity and reliability in detecting food additives, enabling the practical assessment of the safety of processed foods. Currently, chemical detection methods are commonly utilized for identifying food additives. However, these approaches tend to be intricate and time-consuming. In this study, we designed and fabricated an integrated terahertz microfluidic sensor, which achieves high sensitivity by incorporating a metasurface within the microfluidic chip. The metasurface comprises metal wires and split-ring resonators, with three optional sensing sites within the frequency domain of 0.1-1.2 THz, thereby enhancing the reliability of the sensor. Additionally, the use of a self-injection micropump improves the stability of the liquid flow rate, preventing experimental errors caused by manual injection. Utilizing this sensor, we conducted concentration sensing experiments on potassium sorbate and sodium benzoate solutions, successfully identifying sugar-containing and sugar-substituted beverages with high sensitivity and rapid sensing speed. The average sensitivity of the sensor is 152.8 GHz·RIU. The results of this study provide a feasible method for the development of microfluidic metasurface sensors.

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Source
http://dx.doi.org/10.1364/OE.530393DOI Listing

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