Method for qualitative identification and quantitative determination of caffeine in drug

Patent metadata

Field	Value
Publication number	US-12352693-B2
Application number	US-202117321413-A
Country	US
Kind code	B2
Filing date	Aug 27, 2021
Priority date	Sep 27, 2020
Publication date	Jul 8, 2025
Grant date	Jul 8, 2025

Abstract

A method for qualitative identification and quantitative determination of caffeine in a drug. In the method, terahertz absorption coefficient spectra of drugs with different concentrations of caffeine are measured, from which the frequency points, amplitudes and peak areas of characteristic peaks of the drugs with different concentrations of caffeine are obtained as characteristic quantities. Concentration gradients are established between the concentrations and the characteristic quantities, respectively. The characteristic quantities are imported to the SVR model to establish a training set and a test set. Finally, the qualitative identification and quantitative analysis of caffeine in unknown drugs are achieved.

First claim

What is claimed is:

1. A method for qualitative identification and quantitative determination of caffeine in a drug, comprising:
(1) selecting n reference samples with different concentrations of caffeine; and scanning each of the n reference samples with a Fourier transform infrared spectrometer (FTIR) to obtain a terahertz absorption coefficient spectrum of each of the n reference samples;
(2) extracting frequency points, amplitudes and peak areas of at least one of characteristic peak of each of the concentrations of caffeine from the corresponding terahertz absorption coefficient spectrum obtained by step 1; and establishing concentration gradients between the concentrations and three characteristic quantities, respectively, wherein the three characteristic quantities are the frequency points, amplitudes and peak areas;
(3) grouping the frequency points, amplitudes and peak areas obtained by step 2 as characteristic vectors into two groups, wherein one group is used as training data, and another group is used as test data; and using the training data to establish training of a support vector regression (SVR) model to find out characteristic relationship between the concentrations of the caffeine and the characteristic vectors of the terahertz absorption coefficient spectra, thereby obtaining a trained SVR model; and
(4) scanning an analyte with the FTIR to obtain the terahertz absorption coefficient spectrum of the analyte, from which the frequency points, amplitudes and peak areas of the analyte are obtained; importing the frequency points, amplitudes and peak areas into the trained SVR model obtained by step 3; and performing a mathematical calculation to qualitatively identify and quantitatively determine the caffeine in the analyte;
wherein the characteristic peak is one or more of the characteristic peaks in the terahertz absorption coefficient spectrum of the caffeine.

Assignees

• Univ Of Shanghai For Science And Technology
• Chongqing Inst For Food And Drug Control

Inventors

• Peng Yan
• Zeng Linggao
• Zhu Yiming
• Yang Qingrou
• Shi Chenjun
• Wu Xu
• Zhuang Songlin

Classifications

• G01N2021/3595

  using FTIR · CPC title

• G01N21/3581 Primary

  using far infrared light; using Terahertz radiation · CPC title