Rapid detection of trace formaldehyde in food based on surface-enhanced Raman scattering coupled with assembled purge trap

Xinming Nie; Zhengyi Chen; Yaping Tian; Si Chen; Lulu Qu; Mengbao Fan

doi:10.1016/j.foodchem.2020.127930

Rapid detection of trace formaldehyde in food based on surface-enhanced Raman scattering coupled with assembled purge trap

Food Chem. 2021 Mar 15:340:127930. doi: 10.1016/j.foodchem.2020.127930. Epub 2020 Aug 26.

Authors

Xinming Nie¹, Zhengyi Chen², Yaping Tian³, Si Chen⁴, Lulu Qu⁵, Mengbao Fan⁶

Affiliations

¹ School of Mechatronic Engineering, China University of Mining and Technology, XuZhou, Jiangsu 221116, China; School of Physics and Electronic Engineering, Jiangsu Normal University, Xuzhou, Jiangsu 221116, China.
² School of Pharmacy, Guilin Medical University, GuiLin, Guangxi 541199, China.
³ KeWen College, JiangSu Normal University, XuZhou, Jiangsu 221000, China.
⁴ School of Physics and Electronic Engineering, Jiangsu Normal University, Xuzhou, Jiangsu 221116, China.
⁵ School of Chemistry and Materials Science, Jiangsu Normal University, Xuzhou, Jiangsu 221116, China. Electronic address: luluqu@jsnu.edu.cn.
⁶ School of Mechatronic Engineering, China University of Mining and Technology, XuZhou, Jiangsu 221116, China. Electronic address: wuzhi3495@cumt.edu.cn.

PMID: 32871357
DOI: 10.1016/j.foodchem.2020.127930

Abstract

It has been remained a challenge to detect trace formaldehyde in complex samples, such as rice flour and duck blood products. In this study, a purge-trap device was designed and used for volatile target detection, which avoided interference adsorptions on enhanced particle surfaces during subsequent surface-enhanced Raman spectroscopy (SERS) analysis. The device produced a low detection limit for formaldehyde of 1 × 10^-4 μg/mL in the concentration ranges of 4 × 10^-3-4 μg/mL and 1 × 10^-4-3 × 10^-3 μg/mL. In the process of the detection of duck blood and rice flour, partial least squares regression (PLSR) was adopted for sample analysis. The formaldehyde concentration was calculated and compared to the actual value from the above model with R² of 0.97, which indicated high accuracy and stability. These results suggested that the proposed method was reliable and suitable for rapid analysis of trace formaldehyde in real products.

Keywords: A purge-trap; Computational fluid dynamics; DFT; Formaldehyde; SERS.

MeSH terms

Adsorption
Animals
Ducks
Flour
Food Analysis / methods*
Food Analysis / statistics & numerical data
Food Contamination
Formaldehyde / analysis*
Least-Squares Analysis
Limit of Detection
Metal Nanoparticles / chemistry
Poultry Products / analysis
Spectrum Analysis, Raman / methods*

Substances

Formaldehyde