Early detection of germinated wheat grains using terahertz image and chemometrics

Jiang, Yuying; Ge, Hongyi; Lian, Fang; Zhang, Yuan; Xia, Shanhong

doi:10.1038/srep21299

Cited by 36 publications

(13 citation statements)

References 26 publications

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“…The fusion process is shown in Figure 2 . The feature information of the sample was obtained, and then the support vector machine [ 36 , 37 ] using the radial basis kernel function was used to train the feature information. Then the corresponding sub-classifiers, RBF-SVM (absorption coefficient) and RBF-SVM (refractive index), were constructed.…”

Section: Experimental Methodsmentioning

confidence: 99%

THz Spectroscopic Investigation of Wheat-Quality by Using Multi-Source Data Fusion

Jiang

Zhang

2018

Sensors

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In order to improve the detection accuracy for the quality of wheat, a recognition method for wheat quality using the terahertz (THz) spectrum and multi-source information fusion technology is proposed. Through a combination of the absorption and the refractive index spectra of samples of normal, germinated, moldy, and worm-eaten wheat, support vector machine (SVM) and Dempster-Shafer (DS) evidence theory with different kernel functions were used to establish a classification fusion model for the multiple optical indexes of wheat. The results showed that the recognition rate of the fusion model for wheat samples can be as high as 96%. Furthermore, this approach was compared to the regression model based on single-spectrum analysis. The results indicate that the average recognition rates of fusion models for wheat can reach 90%, and the recognition rate of the SVM radial basis function (SVM-RBF) fusion model can reach 97.5%. The preliminary results indicated that THz-TDS combined with DS evidence theory analysis was suitable for the determination of the wheat quality with better detection accuracy.

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Section: Experimental Methodsmentioning

confidence: 99%

THz Spectroscopic Investigation of Wheat-Quality by Using Multi-Source Data Fusion

Jiang

Zhang

2018

Sensors

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“…In the past decade, new emerging approach of THz spectroscopy – THz time-domain spectroscopy (TDS) in combination with chemometrics techniques in particular 6 – showed a significant breakthrough in application for food quality inspection 12 . A number of studies has recently reported promising results that are addressed to the discrimination of transgenic crops 13,14 , early wheat grains germination detection 15 , the determination of tea types with the protected geographical indications 16 , as well as the discrimination between edible oils and used frying oils 17 . Recently, Yin et al .…”

Section: Introductionmentioning

confidence: 99%

Non-destructive inspection of food and technical oils by terahertz spectroscopy

Karaliūnas

Nasser

Urbanowicz

et al. 2018

Sci Rep

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Quality control and non-destructive monitoring are of notable interest of food and pharmaceutical industries. It relies on the ability of non-invasive inspection which can be employed for manufacturing process control. We hereby apply terahertz (THz) time-domain spectroscopy as non-destructive technique to monitor pure and degraded oils as well as hydrocarbon chemicals. Significant differences in the spectra of refractive index (RI) and absorption coefficient arising from the presence of ester linkages in the edible and technical oils were obtained. Explicit increase from 1.38 to 1.5 of the RI in all THz spectrum range was observed in hydrocarbons and mono-functional esters with the increase of molar mass. This fact is in contrast of RI dependence on molar mass in multi-functional esters, such as Adipate or vegetable oils, where it is around 1.54. Degradation products, Oleic Acid (OA) and water in particular, lead only to some changes in absorption coefficient and RI spectra of vegetable oils. We demonstrate that complex colloidal and supramolecular processes, such as dynamics of inverse micelles and oil hydrolysis, take part during oil degradation and are responsible for non-uniform dependence of optical properties on extent of degradation.

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“…Diferent types of thermal building insulation materials are analyzed [90]. (ii) TPI and THz-TDS are used to identify wheat grains at diferent stages of germination [91]. Speciically, the inner chemical structure during germination can be revealed from the THz spectra.…”

Section: Other Applicationsmentioning

confidence: 99%

Terahertz Pulse Detection Techniques and Imaging Applications

Chen¹,

Guo²

2017

Terahertz Spectroscopy - A Cutting Edge Technology

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Recent years have witnessed successful developments of detection techniques of teraherz (THz) pulse radiation and its imaging applications such as security, medicine and environmental sensing, to name an important few. Progress of detection techniques has been made in many aspects, including detection sensitivity, real-time detection, roomtemperature operation, detection bandwidth and dynamic range, spatial (wavefront) and temporal proiles and so on. New detection techniques utilizing cuting-edge materials, sensors, systems and even novel detection mechanisms contribute to advances in teraherz pulse detection. While detection techniques continuously improve, teraherz pulsed imaging (TPI) also inds broad and intriguing applications. For instance, TPI has shown applications in nondestructive evaluation in pharmaceutics, biomedical characterization of tissues, medical diagnosis of cancers, identiication of explosive hazards and examination of art and archeology. The chapter highlights recent progress of teraherz pulse detection techniques and imaging applications.

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Early detection of germinated wheat grains using terahertz image and chemometrics

Cited by 36 publications

References 26 publications

THz Spectroscopic Investigation of Wheat-Quality by Using Multi-Source Data Fusion

THz Spectroscopic Investigation of Wheat-Quality by Using Multi-Source Data Fusion

Non-destructive inspection of food and technical oils by terahertz spectroscopy

Terahertz Pulse Detection Techniques and Imaging Applications

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