Rapid Detection of Sulfadimethazine Residues in Duck Blood Using Surface-Enhanced Raman Spectroscopy

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New research conducted at Jiangxi Agricultural University has developed a rapid detection method for sulfadimethazine (SM2) residues in duck blood, which is a critical step in ensuring food safety. The study, funded by the National Natural Science Foundation of China, employed surface-enhanced Raman spectroscopy (SERS) and chemometric methods to identify and quantify SM2 residues in duck blood. The researchers proposed a SERS-based method that uses density functional theory (DFT) to optimize the molecular structure of SM2 and perform theoretical Raman vibrational analysis, thereby identifying its characteristic peaks. The study demonstrated that the combination of SERS technology and chemometric methods is feasible and effective for the detection of SM2 residues in duck blood.

Key Takeaways:

  • The study developed a rapid detection method for sulfadimethazine (SM2) residues in duck blood using surface-enhanced Raman spectroscopy (SERS).
  • The method employs density functional theory (DFT) to optimize the molecular structure of SM2 and perform theoretical Raman vibrational analysis.
  • The researchers optimized the sample pretreatment method and detection conditions through single-factor experiments.
  • The study demonstrated that the combination of SERS technology and chemometric methods is feasible and effective for the detection of SM2 residues in duck blood.
  • The research was conducted by a team of authors, including Junshi Huang, Runhua Zhou, Jinlong Lin, Qi Chen, Ping Liu, Shuanggen Huang, and Jinhui Zhao.
  • The study was funded by the National Natural Science Foundation of China.
  • The research was published in the journal Biosensors, with the article title "Study on Detection Method of Sulfamethazine Residues in Duck Blood Based on Surface-Enhanced Raman Spectroscopy."
  • MDPI AG is the publisher of the journal Biosensors.
  • A free version of the journal article is available at https://doi-org.sdpl.idm.oclc.org/10.3390/bios15050286.

Statistics:

  • The adaptive iteratively reweighted penalized least-squares method (air-PLS) was the best preprocessing method, with a coefficient of determination for the prediction set (R [ [p] ] [superscript]2) of 0.9817.
  • The competitive adaptive reweighted sampling-multiple linear regression (CARS-MLR) model demonstrated the best prediction performance, with a root mean square error of calibration (RMSEC) of 1.5539 mg/L, a relative prediction deviation (RPD) of 7.1953, and limits of quantification of 0.75 mg/L.

Sources:

  • Study on Detection Method of Sulfamethazine Residues in Duck Blood Based on Surface-Enhanced Raman Spectroscopy. Biosensors, 2025,15(5):286. (Biosensors - http://www.mdpi.com/journal/biosensors).
  • NewsRx. Studies Conducted at Jiangxi Agricultural University on Agriculture Recently Published (Study on Detection Method of Sulfamethazine Residues in Duck Blood Based on Surface-Enhanced Raman Spectroscopy). Agriculture Week. June 12, 2025; p 4114.