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JOURNAL OF HAZARDOUS MATERIALS · 2020 · IF 9.038

CN and C2 formation mechanisms in fs-laser induced breakdown of nitromethane in Ar or N2 atmosphere

Y.L. Zhao,G.G. Li,H.M. Hou,J.C. Shi,S.N. Luo

We investigate atomic and molecular emission of laser-ablated nitromethane in an Ar or N 2 buffer gas, with fs laser-induced breakdown spectroscopy. The electronic bands of CN, C 2 , and NH molecules and the atomic transition lines of C I, N I, and H α are identified. The time series of the emissions are obtained, and the formation mechanisms of CN and C 2 are deduced. The CN violet system, the B 2 Σ + -X 2 Σ + (0-0) band, is chosen to extract plasma temperature from the experimental spectra.

CAS / MDL: 75-52-5
研究领域: 物理化学 · 光谱学
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FOOD CHEMISTRY · 2025 · IF 9.8

Point discharge molecular emission spectrometer as a highly sensitive GC detector for the analysis of furans in food products

Yuan Yang,Xiaoli Wu,Qiuyi Yan,Hongling Zhou,Yurong Deng,Chengbin Zheng

Furans, recognized as carcinogenic contaminants generated during thermal food processing, pose significant food safety concerns, necessitating sensitive and cost-effective detection methods. Traditional GC-FID/MS methods are often constrained by high costs and complex instrumentation. Herein, a point discharge molecular emission spectrometer (PD-MES) was developed as a highly sensitive GC detector, specifically by monitoring CN molecular emission at 388.3 nm for the analysis of furans in food samples. Furans were extracted using headspace solid-phase microextraction (HS-SPME) prior to detection. Compared to conventional carbon atomic emission at 193.0 nm, the CN-based method demonstrated up to a 211.42-fold improvement in sensitivity and achieved detection limits of 0.02–0.08 ng/g with excellent precision (RSD < 4.9 %). Practical validation across ten diverse food matrices yielded satisfactory recoveries (83.4 %–114.5 %). This system offers a robust, highly sensitive, reliable, and economical alternative for the routine monitoring of furan compounds in foods, particularly in resource-limited settings.

研究领域: 食品安全 · 分析化学 · 光谱学 · 环境卫生 · 毒理学
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