Rapid Discrimination of the Country Origin of Soybeans Based on FT-NIR Spectroscopy and Data Expansion

Lee, Ji Hye; An, Jae Min; Kim, Ho Jin; Shin, Hee Chang; Hur, Suel Hye; Lee, Seong Hun

doi:10.1007/s12161-022-02375-3

Cited by 7 publications

(3 citation statements)

References 36 publications

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“…In the previous study, Fourier transform infrared (FT‐IR) spectrometry was used to distinguish the Chinese and Korean soybeans, with an accuracy of 94% (Lee et al., 2018). In another study, Korean and foreign soybeans were discriminated, and the obtained accuracy was 98% using the Fourier transform near infrared (FT‐NIR) spectroscopy (Lee et al., 2022). Terahertz spectroscopy could identify soybeans from Argentina, the United States, and China by the artificial bee colony algorithm support vector machine (ABCA‐SVM) with the identification accuracy rate of 94.74% (Wei et al., 2020).…”

Section: Resultsmentioning

confidence: 99%

Origin traceability and adulteration detection of soybean using near infrared hyperspectral imaging

Li,

Wang,

et al. 2024

Food Frontiers

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Stable isotopes, multi‐elements, metabolic profiles, and integrated spectroscopic fingerprints are priority options for food geographical origin traceability. However, til now, it is still hard to detect adteration with the same one from other geographic origins, which is harder than geographical origin traceability. In this study, partial least square discriminant analysis was employed to build a classification model to discriminate the domestic and imported soybeans after variable selection by uninformative variable elimination using near infrared hyperspectral imaging. As a result, this model could completely discriminate domestic and imported soybeans. Moreover, the developed model was used to detect the adulterated domestic soybean was adulterated with 13.3%, 20.0%, 26.7%, and 33.3% of imported soybean. When the skewness value was less than 0.76 and kurtosis value was less than 1.57 of a sample, the sample was considered as the adulterated. The results indicated that the domestic soybeans adulterated with 20.0%, 26.7%, and 33.3% of imported soybeans were successfully identified. This method could not only identify origin traceability but also detect adulteration of soybeans, which will be beneficial to guarantee the quality and safety of soybean.

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Section: Resultsmentioning

confidence: 99%

Origin traceability and adulteration detection of soybean using near infrared hyperspectral imaging

Li,

Wang,

et al. 2024

Food Frontiers

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“…Moreover, various statistical techniques were applied based on the concentration of 4-8 types of inorganic compounds [19][20][21]. Lee et al [5] utilized FT-NIRS, a method of organic content analysis. The reported efficiency was 96.1-96.5% based on the difference in the absorbance spectra of organic compounds using the NIR.…”

Section: Validation Of the Origin Discrimination Tablementioning

confidence: 99%

“…The origin of soybean is currently discriminated based on the difference in inorganic compounds using energy dispersive X-ray fluorescence spectrometry (ED-XRF). Furthermore, the absorbance difference across organic compounds is determined using Fourier transform near-infrared spectroscopy (FT-NIRS) [4][5][6]. The conventional physicochemical method of analysis enables a markedly simple and rapid analysis that requires no pretreatment besides the grinding of samples.…”

Section: Introductionmentioning

confidence: 99%

Development of a Gene-Based Soybean-Origin Discrimination Method Using Allele-Specific Polymerase Chain Reaction

Jung,

Kim,

Kim

et al. 2023

Foods

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A low soybean self-sufficiency rate in South Korea has caused a high import dependence and considerable price variation between domestic and foreign soybeans, causing the false labeling of foreign soybeans as domestic. Conventional soybean origin discrimination methods prevent a single-grain analysis and rely on the presence or absence of several compounds or concentration differences. This limits the origin discrimination of mixed samples, demonstrating the need for a method that analyzes individual grains. Therefore, we developed a method for origin discrimination using genetic analysis. The whole-genome sequencing data of the Williams 82 reference cultivar and 15 soybean varieties cultivated in South Korea were analyzed to identify the dense variation blocks (dVBs) with a high single-nucleotide polymorphism density. The PCR primers were prepared and validated for the insertion–deletion (InDel) sequences of the dVBs to discriminate each soybean variety. Our method effectively discriminated domestic and foreign soybean varieties, eliminating their false labeling.

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Constructing in-situ and real-time monitoring methods during soy sauce production by miniature fiber NIR spectrometers

Zhang,

Ding,

et al. 2024

Food Chemistry

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Rapid Discrimination of the Country Origin of Soybeans Based on FT-NIR Spectroscopy and Data Expansion

Cited by 7 publications

References 36 publications

Origin traceability and adulteration detection of soybean using near infrared hyperspectral imaging

Origin traceability and adulteration detection of soybean using near infrared hyperspectral imaging

Development of a Gene-Based Soybean-Origin Discrimination Method Using Allele-Specific Polymerase Chain Reaction

Constructing in-situ and real-time monitoring methods during soy sauce production by miniature fiber NIR spectrometers

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