Evaluating quality consistency of cigarette by 3 kinds of quantum fingerprints

Abstract

Cigarette has a history of more than 40 years and once sold well all over the country. The purpose of this paper is to evaluate the quality consistency of 30 batches of cigarettes. Differential scanning calorimetry (DSC) curves, Fourier Transform Infrared (FT-IR) spectra and terahertz time-domain spectra of 30 batches of cigarettes were collected. In this paper, a new quality evaluation method was explored, the obtained fingerprints were quantized, the t-test was used to analyze the correlation between the original fingerprint and the quantum fingerprint. The quantized fingerprints were evaluated by the systematically quantitative fingerprint method (SQFM), the macro qualitative similarity and the macro quantitative similarity were used to reflect the internal differences of the samples. Finally, the antioxidant activities of 30 batches of samples were investigated, and the correlation between quantum fingerprints and IC50 values were analyzed by Pearson correlation coefficient (r).The result shows that there was no significant difference between the quantum fingerprint and the original fingerprint; SQFM can effectively calculate the similarity of sample curves and classify samples into different grades; the FT-IR fingerprints had a good correlation with the IC50 value. 30 samples performed a good quality consistency within an acceptable grades range. In addition, quantum fingerprints have broad application prospects in spectral analysis.