甲醛
检出限
化学
色谱法
拉曼光谱
分析化学(期刊)
净化
偏最小二乘回归
存水弯(水管)
环境科学
废物管理
环境工程
光学
数学
有机化学
统计
物理
工程类
作者
Xinming Nie,Zhengyi Chen,Yaping Tian,Si Chen,Lulu Qu,Mengbao Fan
出处
期刊:Food Chemistry
[Elsevier]
日期:2020-08-26
卷期号:340: 127930-127930
被引量:33
标识
DOI:10.1016/j.foodchem.2020.127930
摘要
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.
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