Analysis and detection using novel terahertz spectroscopy technique in dietary carbohydrate-related research: Principles and application advances

Li, Qingxia; Lei, Tong; Sun, Da‐Wen

doi:10.1080/10408398.2023.2165032

Cited by 14 publications

(2 citation statements)

References 110 publications

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“…Terahertz (electromagnetic waves at frequencies of 0.1 to 10 THz) detection technology has been utilized in areas such as agricultural breeding [11], medicine [12], biology [13], chemistry [14], and foods [15]. The main advantages of THz spectroscopic detection are that it is nondestructive and environmentally friendly, which enables real-time characterization.…”

Section: Introductionmentioning

confidence: 99%

Terahertz Spectroscopic Identification of Roast Degree and Variety of Coffee Beans

Huang,

Liu,

et al. 2024

Foods

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In this study, terahertz time-domain spectroscopy (THz-TDS) was proposed to identify coffee of three different varieties and three different roasting degrees of one variety. Principal component analysis (PCA) was applied to extract features from frequency-domain spectral data, and the extracted features were used for classification prediction through linear discrimination (LD), support vector machine (SVM), naive Bayes (NB), and k-nearest neighbors (KNN). The classification effect and misclassification of the model were analyzed via confusion matrix. The coffee varieties, namely Catimor, Typica 1, and Typica 2, under the condition of shallow drying were used for comparative tests. The LD classification model combined with PCA had the best effect of dimension reduction classification, while the speed and accuracy reached 20 ms and 100%, respectively. The LD model was found with the highest speed (25 ms) and accuracy (100%) by comparing the classification results of Typica 1 for three different roasting degrees. The coffee bean quality detection method based on THz-TDS combined with a modeling analysis method had a higher accuracy, faster speed, and simpler operation, and it is expected to become an effective detection method in coffee identification.

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Section: Introductionmentioning

confidence: 99%

Terahertz Spectroscopic Identification of Roast Degree and Variety of Coffee Beans

Huang,

Liu,

et al. 2024

Foods

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“…Carbohydrates include monose, oligosaccharides, polysaccharides, and complex carbohydrates combined with protein or lipids ( Li et al, 2023 ). It widely exists in plants, microorganisms, and animals ( Fig.…”

Section: Introductionmentioning

confidence: 99%

The influence of processing technologies on the biological activity of carbohydrates in food

Song,

Huang,

et al. 2024

Food Chemistry: X

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Introducing the THz time domain CT system for evaluating kernel weight and plumpness of sunflower seed

Lei

Sun

2023

Food Measure

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The Terahertz (THz) time domain computed tomography (CT) system was used for evaluating kernel weight and plumpness of sunflower seed in present study. Specifically, a series of THz projections of the sunflower seed on a rotation stage were captured by a customized transmission mode THz time domain imaging system from different angles. These projections were preprocessed and then modelled by the inverse Radon transform to reconstruct the three-dimensional (3D) sunflower seed. The shapes and structures of sunflower seeds in reconstructed volumetric images were well presented. The volume ratio (obtained by THz CT imaging) and the area ratio (obtained by RGB imaging) of the whole seed to the kernel were calculated as 3D and 2D plumpness, respectively. The comparison between these two different plumpness indicating that our 3D plumpness can better describe the sunflower seed structure. Correlation coefficient (R) between sum intensity values of kernel voxels and kernel weights is 0.89 at 1.2 THz. This is the first application of applying THz CT systems to agri-food research, and the results indicate that THz time domain CT can be a useful nondestructive tool for evaluating weight and plumpness of intact sunflower seed. In addition, there is potential to extend the THz time domain CT system to the analysis of other agri-food sample types.

show abstract

Analysis and detection using novel terahertz spectroscopy technique in dietary carbohydrate-related research: Principles and application advances

Cited by 14 publications

References 110 publications

Terahertz Spectroscopic Identification of Roast Degree and Variety of Coffee Beans

Terahertz Spectroscopic Identification of Roast Degree and Variety of Coffee Beans

The influence of processing technologies on the biological activity of carbohydrates in food

Introducing the THz time domain CT system for evaluating kernel weight and plumpness of sunflower seed

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