| Literature DB >> 32871357 |
Xinming Nie1, Zhengyi Chen2, Yaping Tian3, Si Chen4, Lulu Qu5, Mengbao Fan6.
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.Entities:
Keywords: A purge-trap; Computational fluid dynamics; DFT; Formaldehyde; SERS
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Year: 2020 PMID: 32871357 DOI: 10.1016/j.foodchem.2020.127930
Source DB: PubMed Journal: Food Chem ISSN: 0308-8146 Impact factor: 7.514