Monitoring water uptake in whole barley (Hordeum vulgare L.) grain during steeping using near infrared reflectance spectroscopy

Cozzolino, Daniel; Roumeliotis, S.; Eglinton, J.

doi:10.1016/j.jfoodeng.2012.09.010

Cited by 20 publications

(36 citation statements)

References 30 publications

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“…The Peleg model was found to be adequate to describe the kinetics of hydration of barley cultivars in the present study. Cozzolino, Roumeliotis and Eglinton (2013) stated that the Peleg equation was applied to the curvilinear segment of the water absorption data. The data showed that differences in water result from the different barley cultivars used.…”

Section: Chemical Composition Of the Barley Cultivarsmentioning

confidence: 99%

Kinetic, thermodynamic properties, and optimization of barley hydration

Montanuci¹,

Jorge²,

Jorge³

2013

Food Sci. Technol (Campinas)

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Section: Chemical Composition Of the Barley Cultivarsmentioning

confidence: 99%

Kinetic, thermodynamic properties, and optimization of barley hydration

Montanuci¹,

Jorge²,

Jorge³

2013

Food Sci. Technol (Campinas)

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“…Variations in both the amount and rate of water uptake by the seed might lead to inefficient hydration and therefore to over or under modification of the endosperm for industrial uses (e.g., malting) [1,3,4,7,9].…”

Section: Introductionmentioning

confidence: 99%

“…The uptake of water by barley seeds is an essential and initial step towards germination [1,3,4,7,9]. This step is of importance not only for the direct effect on crop germination but also from a technological point of view (e.g., in the malting process it is often referred to as steeping) [4,7,9] Abbreviations: ATR, attenuated total reflectance; MIR, mid infrared; NMR, nuclear magnetic resonance; NIR, near infrared; PC, principal component; PCA, principal component analysis; PLS, partial least squares; PRESS, prediction residual error sum of squares; R 2 , coefficient of determination in cross validation; RPD, residual predictive deviation; RWU, rate of water uptake; SD, standard deviation; SECV, standard error of cross validation.…”

Section: Introductionmentioning

confidence: 99%

In situ study of water uptake by the seeds, endosperm and husk of barley using infrared spectroscopy

Cozzolino

Degner

Eglinton

2015

Spectrochimica Acta Part A: Molecular and Biomolecular Spectros

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“…The absorption peak around 1210 nm was due to the C-H stretching second overtone (presence of fat) (Morales-Sillero et al 2011). The absorption peak at 1450 nm was related to the O-H stretching first overtone (presence of water) (Cozzolino et al 2013). In general, the spectral profiles mainly exhibited the information of chemical molecules such as water and fat, which are the main components of salmon flesh.…”

Section: Spectral Profiles Of Salmon Samplesmentioning

confidence: 99%

Selection of Informative Spectral Wavelength for Evaluating and Visualising Enterobacteriaceae Contamination of Salmon Flesh

Sun

2015

Food Anal. Methods

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Enterobacteriaceae is one kind of harmful microorganisms commonly presented in raw fish products, and detection of Enterobacteriaceae plays a very important role in evaluating microbial contamination. This work was carried out to exploit the potential of emerging hyperspectral imaging technique to determine the Enterobacteriaceae contamination of salmon flesh during cold storage. The spectral information ranging from 900 to 1700 nm (239 wavelengths) was extracted to relate to the Enterobacteriaceae loads (recorded as log 10 CFU/g) using partial least square (PLS) regression, developing a PLS model with correlation coefficient of prediction (r P ) of 0.94 and root mean square error of prediction (RMSEP) of 0.53 as well as residual predictive deviation (RPD) of 2.97. By applying successive projection algorithm (SPA), eight wavelengths at 924, 931, 964, 1068, 1262, 1373, 1628 and 1668 nm among the 239 wavelengths were selected as informative wavelengths to reduce the information redundancy and optimise the PLS model. With the eight informative wavelengths, a simplified PLS model defined as SPA-PLS was established with r P of 0.95, RMSEP of 0.47 and RPD of 3.23. To visualise the contamination degree of salmon flesh caused by Enterobacteriaceae, the SPA-PLS model was transferred to each pixel of images, and colourful distribution maps were produced with different colour represented different numbers of Enterobacteriaceae colonies. The results showed that hyperspectral imaging operating in 900-1700 nm is promising in evaluating Enterobacteriaceae contamination of salmon products. More studies are still required to further refine the multispectral imaging system to achieve online application.

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Monitoring water uptake in whole barley (Hordeum vulgare L.) grain during steeping using near infrared reflectance spectroscopy

Cited by 20 publications

References 30 publications

Kinetic, thermodynamic properties, and optimization of barley hydration

Kinetic, thermodynamic properties, and optimization of barley hydration

In situ study of water uptake by the seeds, endosperm and husk of barley using infrared spectroscopy

Selection of Informative Spectral Wavelength for Evaluating and Visualising Enterobacteriaceae Contamination of Salmon Flesh

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