Detection of Melamine in Foods Using Terahertz Time-Domain Spectroscopy

Baek, Seung Hwa; Lim, Heung Bin; Chun, Hyang Sook

doi:10.1021/jf501170z

Cited by 72 publications

(39 citation statements)

References 13 publications

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“…254 More recently, the use of THz-TDS for chemical identification was demonstrated by Baek et al in detecting the presence of melamine in food materials such as flour, milk powder, and chocolate powder. 255 Although they stated that the sensitivity was not high enough for the regulatory limits, the ability of THz-TDS to pass through many packaging materials made it an attractive detection tool for food monitoring. Application of more sophisticated processing algorithms may improve the sensitivity, as will the development of a robust database of terahertz spectra for dangerous contaminants.…”

Section: Applicationsmentioning

confidence: 99%

Terahertz Time-Domain and Low-Frequency Raman Spectroscopy of Organic Materials

2015

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With the ongoing proliferation of terahertz time-domain instrumentation from semiconductor physics into applied spectroscopy over the past decade, measurements at terahertz frequencies (1 THz [ 10 12 Hz [ 33 cm À1) have attracted a sustained growing interest, in particular the investigation of hydrogen-bonding interactions in organic materials. More recently, the availability of Raman spectrometers that are readily able to measure in the equivalent spectral region very close to the elastic scattering background has also grown significantly. This development has led to renewed efforts in performing spectroscopy at the interface between dielectric relaxation phenomena and vibrational spectroscopy. In this review, we briefly outline the underlying technology, the physical phenomena governing the light-matter interaction at terahertz frequencies, recent examples of spectroscopic studies, and the current state of the art in assigning spectral features to vibrational modes based on computational techniques.

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Section: Applicationsmentioning

confidence: 99%

Terahertz Time-Domain and Low-Frequency Raman Spectroscopy of Organic Materials

2015

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“…discriminated antibiotics (sulfapyridine, sulfathiazole, and tetracycline) and acaricides (coumaphos and amitraz) in honey using terahertz fingerprint spectroscopy . The terahertz technique has also been proven as a quantitative tool to analyze the amount of tetracycline hydrochloride in infant milk powder, the aflatoxin B1 concentration in acetonitrile, and melamine in foods . In general, the majority of terahertz spectroscopic data are assayed based on the characteristic absorption peaks.…”

Section: Introductionmentioning

confidence: 99%

“…Baek et al . obtained a calibration curve using the characteristic absorption peaks of melamine found at 2, 2.26, and 2.6 THz and then used this to detect melamine in flour, milk powder, and chocolate powder. And Lu et al .…”

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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“…Many drugs [10], explosives [11], plastics [12], and food ingredients [13] have shown characteristic 'fmgerprints' in the far-infrared region. Profitably, terahertz spectroscopy enables the detection of the phenomenon of polymorphism -the existence of a compound in more than one crystal structure, or pseudo-polymorphismhydration for instance, indicating the presence of water as an integral part of the crystallattice.…”

Section: Introductionmentioning

confidence: 99%