Application of NIR and MIR spectroscopy in quality control of potato chips

Shiroma, Cecilia; Rodríguez-Saona, Luis E.

doi:10.1016/j.jfca.2008.09.003

Cited by 131 publications

(77 citation statements)

References 26 publications

(54 reference statements)

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“…Sugars and organic acids also show intense and characteristic bands in this region. Specifically, the bands in the region of 1500-1000 cm -1 arise mainly from the deformation of -CH 2 and angular deformation of C-C-H and H-C-O (Shiroma & Rodriguez-Saona 2009). Those in the region of 1200-950 cm -1 can be explained by stretching modes of C-C and C-O (Ferreira et al 2014).…”

Section: Resultsmentioning

confidence: 93%

Detection of adulteration in freshly squeezed orange juice by electronic nose and infrared spectroscopy

Shen¹,

Wu²,

Su³

et al. 2016

Czech J. Food Sci.

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Abstract:Shen F., Wu Q., Su A., Tang P., Shao X., Liu B. (2016): Detection of adulteration in freshly squeezed orange juice by electronic nose and infrared spectroscopy. Czech J. Food Sci., 34: 224-232.The use of electronic nose and attenuated total reflectance-Fourier transform infrared spectroscopy (ATR-FTIR) as rapid tools for detection of orange juice adulteration has been preliminarily investigated and compared. Freshly squeezed orange juices were tentatively adulterated with 100% concentrated orange juices at levels ranging from 0% to 30% (v/v). Then the E-nose response signals and FTIR spectra collected from samples were subjected to multivariate analysis by principal component analysis (PCA) and linear discriminant analysis (LDA). PCA indicated that authentic juices and adulterated ones could be approximately separated. For the classification of samples with different adulteration levels, the overall accuracy obtained by LDA in prediction was 91.7 and 87.5% for E-nose and ATR-FTIR, respectively. Gas chromatography-mass spectrometry (GC-MS) results verified that there existed an obvious holistic difference in flavour characteristics between fresh squeezed and concentrated juices. These results demonstrated that both E-nose and FTIR might be used as rapid screening techniques for the detection of this type of juice adulteration.

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Section: Resultsmentioning

confidence: 93%

Detection of adulteration in freshly squeezed orange juice by electronic nose and infrared spectroscopy

Shen¹,

Wu²,

Su³

et al. 2016

Czech J. Food Sci.

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“…This method is based on the absorption of specific wavelengths in the NIR region by certain functional groups within the tested chemical components, which enables both qualitative and quantitative analyses. The advantages of the Fourier-transformation include improvement in the signal-to-noise ratio, a significant reduction in the scan time, a higher energy throughout, superior spectral resolution and wavelength accuracy (Shiroma and Rodriguez-Saona 2009).…”

mentioning

confidence: 99%

Near infrared spectroscopy for deoxynivalenol content estimation in intact wheat grain

Dvořāček¹,

Prohasková²,

Chrpová³

et al. 2012

Plant Soil Environ.

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Non-invasive determination of deoxynivalenol (DON) still presents a challenging problem. Therefore, the present study was aimed at a rapid determination of DON in whole wheat grain by means of FT-NIR spectroscopy, with a wide range of concentrations for potential applications in breeding programs and common systems of quality management using partial least square calibration (PLS) and discriminant analysis technique (DA). Using a set of artificially infected wheat samples with a known content of DON, four PLS models with different concentration range were created. The broadest model predicting DON in the concentration range of 0-90 mg/kg possessed the highest correlation coefficients of calibration and cross validation (0.94 and 0.88); but also possessed the highest prediction errors (SEP = 6.23 mg/kg). Thus the subsequent combination of DA as the wide range predictive model and the low-range PLS model was used. This technique gave more precise results in the samples with lower DON concentrations -below 30 mg/kg (SEP = 2.35 mg/kg), when compared to the most wide-range PLS model (SEP = 5.95 mg/kg). Such technique enables to estimate DON content in collections of artificially infected wheat plants in Fusarium resistance breeding experiments.

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“…In order to decrease the error of peak height and peak area measurement, the corrected peak height / area models of the 2 nd derivative spectra are discussed despite the corrected peak height / area models of the raw spectra. The 2 nd derivative [12] is one of the data preprocessing method that is applied in the data preprocessing in MIR data commonly, which can eliminate the baseline drifting and baseline translation.…”

Section: Methodsmentioning

confidence: 99%

The Application of Classical Least Square Algorithm in the Quantitative Analysis of Lime in Wheat Flour by ATR-MIR Spectroscopy

Wang

Han

et al. 2012

Computer and Computing Technologies in Agriculture V

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Abstract. In this thesis, classical least square (CLS) regression was applied in the attenuate total reflection mid-infrared (ATR-MIR) spectra data processing of lime in wheat flour to develop the corrected peak height model of the raw spectra, the corrected peak area model of the raw spectra, the corrected peak height model of the 2 nd derivative spectra and the corrected peak area model of the 2 nd derivative spectra respectively. The result indicated that the correlation coefficients of the four models mentioned above are 0.9648, 0.9696, -0.9646 and -0.9599 respectively. F-test result indicated that a very remarkable correlation exists between the estimated and specified values of the calibration set and external validation set. The detection limits of the four models mentioned above are 3.51 %, 3.21 %, 3.51 % and 3.69 % respectively, which can fulfill the demand for the rapid quality safe screening of wheat flour in the market. This method, to some extent, can provide some references for not only the design and manufacturing of the special MIR instrument for the quality safe control of wheat flour in the market but also the quantitative determination of banned additives in wheat flour.

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Application of NIR and MIR spectroscopy in quality control of potato chips

Cited by 131 publications

References 26 publications

Detection of adulteration in freshly squeezed orange juice by electronic nose and infrared spectroscopy

Detection of adulteration in freshly squeezed orange juice by electronic nose and infrared spectroscopy

Near infrared spectroscopy for deoxynivalenol content estimation in intact wheat grain

The Application of Classical Least Square Algorithm in the Quantitative Analysis of Lime in Wheat Flour by ATR-MIR Spectroscopy

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