Detection of nitrofurans residues in honey using surface‐enhanced Raman spectroscopy

Abstract

Residues of veterinary antibiotics in honey may be damaging to human health. Surface-enhanced Raman scattering spectroscopy (SERS) is an emerging technology widely applied in food safety. SERS has advantages of enabling fingerprint identification and fast detection, as well as does not require complex pretreatment. Considering the overuse of nitrofurans in honeybee breeding, SERS combined with spectral preprocessing was used to detect nitrofurantoin in honey. By using standardized experimental procedures and improved spectral correction methods, the lowest detection limit of nitrofurantoin was 0.1321 mg/kg. A good linear relationship in the partial least squares regression model was found among spiked samples, which allowed prediction of nitrofurantoin content in honey sample (𝑅 2 𝐶 = 0.9744; 𝑅 2 𝑃 = 0.976; RMSECV = 1.0353 mg/kg; RMSEP = 0.9987 mg/kg). Collectively, these results reliably demonstrated that quantification is more accurate when spectral preprocessing is better controlled. Therefore, this study indicates that SERS could be further implemented in fast and onsite detection of nitrofurantoin in honey for improved food safety.

Fabrication of a metal organic framework (MOF)‐modified Au nanoparticle array for sensitive and stable SERS sensing of paraquat in cereals

“…Surface‐enhanced Raman scattering (SERS) is a sensitive and rapid detection method that shows great advantages in the ultrasensitive detection of trace chemicals (Weng et al., 2018; Yan et al., 2022; Zhang, Xue, et al., 2022; Zhu et al., 2022). For SERS detection, the electromagnetic enhancement has been reported as the main mechanism contributing to the SERS enhancement effect.…”