Simultaneous extraction and surface enhanced Raman spectroscopy detection for the rapid and reliable identification of nicotine released from snus products.
Yongfeng TianXianghu TangYaning FuShanzhai ShangGaofeng DongTinghua LiXing-Jiu HuangDonglai ZhuPublished in: Analytical methods : advancing methods and applications (2021)
Surface enhanced Raman spectroscopy (SERS) is a highly sensitive analytical detection technique that provides unique chemical and structural information on target molecules. Here, simultaneous extraction and SERS detection of nicotine for the rapid and reliable identification of nicotine released from snus products were performed based on a nano-Au assembly hierarchy structure in the capillary. Based on this strategy, the time evolution of the concentrations of nicotine released from the snus products was measured. Through comparison of the intensities of the spectral peaks of the symmetrical breathing of the pyridine moiety of nicotine molecules, with the prolongation of time, the concentration of nicotine released decreased significantly, which is helpful for establishing a method for the rapid evaluation of the processing and selection of excipients of snus products, and provides a new idea for further study of the production of snus pouches and related tobacco products. Moreover, based on data fitting, it can be calculated that the concentration of nicotine in the extraction presented an obvious quadratic relationship with time, and the release of most of the nicotine in the snus pouch, which is held through the gums and palate, was basically completed after ∼15 min. Such destruction-free simultaneous measurements of snus products are opening up new perspectives for further research about the impact of nicotinoids on smokers' health and cessation programs.
Keyphrases
- smoking cessation
- raman spectroscopy
- loop mediated isothermal amplification
- sensitive detection
- label free
- public health
- healthcare
- electronic health record
- risk assessment
- machine learning
- deep learning
- real time pcr
- magnetic resonance imaging
- magnetic resonance
- social media
- big data
- human health
- bioinformatics analysis