Quantitative measurements of binary amino acids mixtures in yellow foxtail millet by terahertz time domain spectroscopy

Lu, Shaohua; Zhang, Xin; Zhang, Zhuoyong; Yang, Yuping; Xiang, Yuhong

doi:10.1016/j.foodchem.2016.05.079

Cited by 57 publications

(37 citation statements)

References 38 publications

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“…Foxtail millet is a rich-amino acid cereal widely consumed in East Asia. Lu, Zhang, Zhang, Yang, and Xiang (2016) combined THz-TDS with chemometrics for quantitative and qualitative analysis of binary mixture of amino acids in foxtail millet. l-Glutamine and l-glutamic acid have similar properties and chemical structures.…”

Section: Moisture Content Measurementmentioning

confidence: 99%

“…The recovery of the method was calculated (Table 11), but the LOD of their method was not reported. Lu et al (2016) combined chemometric methods with THz-TDS for quantitative and qualitative analysis of a binary mixture of similar amino acids. l-Glu and l-Gln were mixed with foxtail millet matrix, and the absorption spectrum was measured.…”

Section: Amino Acids and Protein Studiesmentioning

confidence: 99%

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A Comprehensive Review on Food Applications of Terahertz Spectroscopy and Imaging

Afsah‐Hejri

Hajeb

Ara

et al. 2019

Comp Rev Food Sci Food Safe

221

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Food product safety is a public health concern. Most of the food safety analytical and detection methods are expensive, labor intensive, and time consuming. A safe, rapid, reliable, and nondestructive detection method is needed to assure consumers that food products are safe to consume. Terahertz (THz) radiation, which has properties of both microwave and infrared, can penetrate and interact with many commonly used materials. Owing to the technological developments in sources and detectors, THz spectroscopic imaging has transitioned from a laboratory‐scale technique into a versatile imaging tool with many practical applications. In recent years, THz imaging has been shown to have great potential as an emerging nondestructive tool for food inspection. THz spectroscopy provides qualitative and quantitative information about food samples. The main applications of THz in food industries include detection of moisture, foreign bodies, inspection, and quality control. Other applications of THz technology in the food industry include detection of harmful compounds, antibiotics, and microorganisms. THz spectroscopy is a great tool for characterization of carbohydrates, amino acids, fatty acids, and vitamins. Despite its potential applications, THz technology has some limitations, such as limited penetration, scattering effect, limited sensitivity, and low limit of detection. THz technology is still expensive, and there is no available THz database library for food compounds. The scanning speed needs to be improved in the future generations of THz systems. Although many technological aspects need to be improved, THz technology has already been established in the food industry as a powerful tool with great detection and quantification ability. This paper reviews various applications of THz spectroscopy and imaging in the food industry.

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Section: Moisture Content Measurementmentioning

confidence: 99%

Section: Amino Acids and Protein Studiesmentioning

confidence: 99%

A Comprehensive Review on Food Applications of Terahertz Spectroscopy and Imaging

Afsah‐Hejri

Hajeb

Ara

et al. 2019

Comp Rev Food Sci Food Safe

221

View full text Add to dashboard Cite

show abstract

“…Chemometrics has been applied for qualitative and quantitative analysis of the THz spectra of not very complex mixture systems. Absorption intensity of THz spectra is proportional to the concentration of analytes in commonly used dynamic ranges; thus, normal linear modeling methods in chemometrics can be used in their calibration and prediction [27].…”

Section: Application Of Chemometrics On Terahertz Spectra Analysismentioning

confidence: 99%

Application of Terahertz Technology in Biomolecular Analysis and Medical Diagnosis

Zhang¹,

Zhang²

2017

Terahertz Spectroscopy - A Cutting Edge Technology

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Terahertz technology is a nondestructive technique, which has progressed significantly in the scientific research and gains highly attention in the analysis of biological molecular, cellular, tissues and organs. In this decade, some studies were reported on the application of terahertz technology in medical testing and diagnosis. Here, we summarize the terahertz characters, terahertz spectroscopy, and terahertz imaging technology combined with chemometrics. This chapter focuses on introducing the research progress on analyzing the tissues of cancers using terahertz spectroscopy and terahertz imaging technology. Furthermore, the problems should be solved, and development directions of terahertz spectroscopy and terahertz imaging technology are discussed.

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“…And Lu et al . reported on the quantitative analysis of binary mixtures of l ‐glutamic acid and l ‐glutamine by means of their fingerprints …”

Section: Introductionmentioning

confidence: 99%

“…And Lu et al reported on the quantitative analysis of binary mixtures of L-glutamic acid and L-glutamine by means of their fingerprints. 25 The major components of honey are water and saccharides. Water is extremely absorptive in the terahertz region.…”

Section: Introductionmentioning

confidence: 99%

Determination of invert syrup adulterated in acacia honey by terahertz spectroscopy with different spectral features

Zhang²,

et al. 2020

J Sci Food Agric

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BACKGROUND Invert syrup is a common adulterant in honey falsification, thus generating risk for consumers. Most of the methods developed are tedious and time‐consuming for manufactures and consumers. However, terahertz spectroscopy provides analytical information in a simple, rapid, and environmentally friendly manner. Subsequently, 3 kinds of terahertz spectroscopic characteristics data, the absorption coefficient, the slope of the absorption coefficient spectra, and the area of the absorption coefficient spectra, were employed for determination of acacia honey adulterated with invert syrup. RESULTS Single linear regression (SLR) models with different terahertz spectroscopic features were adopted to predict the syrup adulterant proportion in acacia honey. The best SLR model used the area of the absorption coefficient, displaying an adjusted correlation coefficient of 0.985 and a root‐mean‐square error of 3.201. Meanwhile, multiple linear regression (MLR) models using a successive projections algorithm for variables selection were implemented. The MLR model considered the integral area of the absorption coefficient spectra, as the inputs yielded the best result with less variables selected, higher Rc2 and Rp2, lower root‐mean‐square error of calibration and prediction, as well as higher residual predictive deviation. CONCLUSIONS The results indicate terahertz spectroscopy combined with the integral area of the absorption coefficient spectra is reliable enough for invert syrup proportion quantification in acacia honey and is also a rapid and nondestructive determination method for other honey adulterants. © 2019 Society of Chemical Industry

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Quantitative measurements of binary amino acids mixtures in yellow foxtail millet by terahertz time domain spectroscopy

Cited by 57 publications

References 38 publications

A Comprehensive Review on Food Applications of Terahertz Spectroscopy and Imaging

A Comprehensive Review on Food Applications of Terahertz Spectroscopy and Imaging

Application of Terahertz Technology in Biomolecular Analysis and Medical Diagnosis

Determination of invert syrup adulterated in acacia honey by terahertz spectroscopy with different spectral features

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