Suppr超能文献

使用手持式拉曼光谱定量测定市售电子烟液中的 PG:VG 比和尼古丁含量。

Quantifying PG : VG ratio and nicotine content in commercially available e-liquids using handheld Raman spectroscopy.

机构信息

Centre for Metabolomics Research, Department of Biochemistry, Cell and Systems Biology, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, BioSciences Building, Crown St, Liverpool, L69 7ZB, UK.

出版信息

Analyst. 2023 Aug 21;148(17):4002-4011. doi: 10.1039/d3an00888f.

Abstract

Electronic cigarettes are a popular nicotine consumption product that have risen in popularity as an alternative to cigarettes. However, their recent meteoric rise in market size and various controversies have resulted in the analyses of e-liquid ingredients to be focused on powerful laboratory-based slow methods such as chromatography and mass spectrometry. Here we present a complementary technology based on Raman spectroscopy combined with chemometrics as a fast, inexpensive, and highly portable screening tool to detect and quantify the propylene glycol : glycerol (PG : VG) ratio and nicotine content of e-cigarette liquids. Through this, the PG : VG ratio of 20 out of 23 commercial samples was quantified to within 3% of their stated value, while nicotine was successfully quantified to within 1 mg g for 16 out of 23 samples without the need for accurate knowledge of flavonoid composition. High linearity was also achieved when flavours were kept constant. Finally, the limitations of Raman spectroscopy are discussed, and potential solutions are suggested.

摘要

电子烟是一种流行的尼古丁消费产品,作为香烟的替代品而广受欢迎。然而,由于其市场规模的迅速扩大以及各种争议,人们对电子烟液成分的分析侧重于基于色谱和质谱等强大的实验室慢方法。在这里,我们提出了一种基于拉曼光谱结合化学计量学的互补技术,作为一种快速、廉价且高度便携的筛选工具,用于检测和定量电子烟液中的丙二醇:甘油(PG:VG)比和尼古丁含量。通过这种方法,对 23 个商业样本中的 20 个样本的 PG:VG 比进行了定量分析,其值与声明值的偏差在 3%以内,而对于 23 个样本中的 16 个样本,无需准确了解类黄酮成分即可成功定量尼古丁,其含量偏差在 1mg g 以内。当保持风味不变时,也实现了高线性度。最后,讨论了拉曼光谱的局限性,并提出了潜在的解决方案。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/913a/10440798/6ee4d3be350c/d3an00888f-f1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验