Correlation Engine 2.0
Clear Search sequence regions


  • fruit (3)
  • humans (1)
  • ink (3)
  • limit (3)
  • ten (1)
  • thiram (7)
  • Sizes of these terms reflect their relevance to your search.

    With the widespread application of pesticide in agriculture, pesticide residues in food have posed serious health risks to human. There is an urgent requirement to detect pesticide residues in food. In this work, a sensitive and effective method was employed to measure thiram residues in fruit using surface-enhanced Raman scattering (SERS) technique. Silver ink was written on photographic paper (AgNPs-photographic paper) directly by robotic writing technique. The AgNPs-photographic paper substrates possessed good SERS activities and high stability among four months. A good linear response between the peaks intensities and the logarithmic concentrations of thiram was obtained with the limit of detection (LOD) of 0.024 ppb. The substrates also exhibited excellent reproducibility with relative standard deviation (RSD) value less than 10% from ten different substrates. SERS mapping was tested to characterize the uniformity of AgNPs-photographic paper, and the RSD value was calculated to be 14.34% at 1377 cm-1 measured by 120 points. The LOD values of apple and peach juice adulterated with thiram were 0.0024 and 0.024 ppm, respectively. The LOD values of thiram residues on apple and peach peels were both 0.25 ng/cm2. It was demonstrated that the substrates prepared by robotic writing technique had great potential for practical application in food safety inspection. Copyright © 2021 Elsevier B.V. All rights reserved.

    Citation

    Longxiu Feng, Junli Duan, Kun Wang, Lei Huang, Guina Xiao. Robotic written silver ink on photographic paper for detection of thiram residues in fruits. Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy. 2022 Mar 05;268:120724

    Expand section icon Mesh Tags

    Expand section icon Substances


    PMID: 34906843

    View Full Text