Qualitative and quantitative determination of potassium aluminum sulfate dodecahydrate in potato starch based on terahertz spectroscopy

Liu, Jianjun; Li, Fan

doi:10.1002/mop.32061

Cited by 7 publications

(6 citation statements)

References 6 publications

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“…The refractive index n(ω) and absorption coefficient α(ω) can be calculated from Equations ( 2) and ( 3), where φ(ω) is the phase difference between the sample and the reference signal, ρ(ω) is the amplitude ratio of the sample to the reference signal, dis the thickness of sample is, c is the speed of light, and ω is the angular frequency [4].…”

Section: Calculation Methodsmentioning

confidence: 99%

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Study on terahertz spectra of traditional Chinese medicine tablets with porous and non-porous structures

Bai

Guo

et al. 2022

Infrared, Millimeter-Wave, and Terahertz Technologies IX

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Traditional Chinese medicine tablets have issues such as poor compressibility and delayed disintegration. We mainly get porous traditional Chinese medicine to solve the problem through pore-making technology. Terahertz technology provides high resolution, low energy loss, and is non-destructive and non-invasive. We have obtained the spectral data of Pueraria lobata tablets with terahertz time-domain spectroscopy. Porous and non-porous structures have effects on the efficacy of traditional Chinese medicine. The spectral data have been distinguished according to porous and non-porous structures.The time-domain and frequency-domain spectra were compared and analyzed respectively, and related parameters such as refractive index and absorption coefficient were studied simultaneously. By comparison, we have found that terahertz spectroscopy is sensitive to the substance structure of traditional Chinese medicine, and terahertz technology can be used to detect the porous and non-porous traditional Chinese medicine. The results contribute to the methodological advancement of Process Analytical Technology (PAT) of traditional Chinese medicine.

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Section: Calculation Methodsmentioning

confidence: 99%

“…In order to reduce the error and improve the measurement accuracy, the time-domain signals of the reference signals and the sample signals are measured ten times as shown in Figure 2 [4]. And we take the average of the time delays in Table 1.…”

Section: Time-domain Signal Processingmentioning

confidence: 99%

Study on terahertz spectra of traditional Chinese medicine tablets with porous and non-porous structures

Bai

Guo

et al. 2022

Infrared, Millimeter-Wave, and Terahertz Technologies IX

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“…For example, Liu Wen et al [20] used THz spectroscopy to determine the adulterated acacia honey and the final correlation coefficient was 0.985. For example, Liu Jianjun et al [21] used THz spectroscopy to quantify potassium aluminum sulfate dodecahydrate in potato starch and found that potassium aluminum sulfate dodecahydrate had a distinct characteristic absorption peak in the THz band. For example, Zhang Xin et al [22] used THz time-domain spectroscopy and chemometrics to determine amino acid mixtures in cereals and finally proved that THz time-domain spectroscopy could be used for the qualitative and quantitative analysis of amino acids.…”

Section: Carolinementioning

confidence: 99%

Identification of Soybean Origin by Terahertz Spectroscopy and Chemometrics

et al. 2020

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Soybeans have the characteristics of balanced amino acid species and high nutritional value. In this paper, the feasibility of the identification soybean from three typical origins (Argentina, the United States and China) by interval partial least squares (iPLS) optimized terahertz (THz) spectroscopy combined with chemometrics was investigated. Firstly, the THz frequency-domain spectrum was optimized using iPLS. Then, 168 soybean samples were selected as the correction set, and soybean origin identification models were respectively built using the extreme learning machine (ELM), genetic algorithm support vector machine (GA-SVM), and artificial bee colony algorithm support vector machine (ABC-SVM) combined with 8 pre-processing techniques. Finally, the models were verified through 57 samples of the test set and the comprehensive identification accuracy rate of the ABC-SVM model reached 94.74%. The experimental results showed that after iPLS optimization and appropriate pre-processing technique, THz spectroscopy and chemometrics could accurately identify the origin of soybean. INDEX TERMS Terahertz, origin, pre-processing technique, iPLS, chemometrics I. INTRODUCTION Soybeans from different origins have large differences in appearance, color, nutritional value, and internal chemical composition [1]-[2]. According to the database of the Food and Agriculture Organization of the United Nations, the United States and Argentina are among the top three soybean producing countries in the world in 2019. At the same time, they are also the main sources of imported soybeans for China.

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“…Terao et al (2018) have studied the boson peak dynamics of natural polymer starch using terahertz time-domain spectroscopy and low-frequency Raman scattering. Liu et al have studied the potassium aluminum sulfate dodecahydrate in potato starch by terahertz spectroscopy qualitatively and quantitatively (Chen, 2013;Liu et al, 2020). Chen, Singh, et al (2018)) used terahertz time-domain spectroscopy to measure glucose levels in the blood of diabetic patients quantitatively.…”

Section: Introductionmentioning

confidence: 99%

“…Terahertz spectrum generates terahertz electric field through the interaction between the terahertz pulse and the sample. The waveforms in the time domain and the reference frequency domain are obtained through the fast Fourier transform, and then the waveforms in the frequency domain are processed (Hou et al., 2021 ; Liu & Fan, 2020 ). The absorption coefficient, refractive index, and dielectric constant of the sample can be extracted.…”

Section: Introductionmentioning

confidence: 99%