The use of handheld near-infrared reflectance spectroscopy (NIRS) for the proximate analysis of poultry feed and to detect melamine adulteration of soya bean meal

Haughey, Simon A.; Galvin-King, Pamela; Maléchaux, Astrid; Elliott, Christopher T.

doi:10.1039/c4ay02470b

Cited by 29 publications

(18 citation statements)

References 21 publications

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“…Our results are similar to those mentioned above, and this clearly indicates that there is potential for portable NIR instruments as an alternative to desktop lab instrumentation, which is in agreement with the conclusions of Haughey (2014). This is made increasingly possible due to the recent advances in sensor technology including Changhong (Rateni et al, 2017), who have developed an embedded NIR sensor.…”

Section: Evaluation Of the Model In Unseen Data (Test Set)supporting

confidence: 91%

“…Its low price and reduced dimensions allow the researchers to perform rapid tests which could be developed and integrated for example into a smartphone (Cartwright, 2016, Das et al, 2015, Pügner et al, 2016. Previous works have already pointed to the high potential of this low-cost device (Haughey et al, 2014, Schulte et al, 2015. Samples were collected from intact shell eggs, which were scanned twice from the top in the blunt end using the SCiO TM shade accessory.…”

Section: Spectral Acquisition Of Eggsmentioning

confidence: 99%

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Determination of egg storage time at room temperature using a low-cost NIR spectrometer and machine learning techniques

Coronel-Reyes

Ramírez-Morales

Fernández-Blanco

et al. 2018

Computers and Electronics in Agriculture

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Currently, consumers are more concerned about freshness and quality of food. Poultry egg storage time is a freshness and quality indicator in industrial and consumer applications, even though egg marking is not always required outside the European Union. Other authors have already published works using expensive laboratory equipment in order to determine the storage time and freshness of eggs. This paper presents a novel alternative method based on low-cost devices for the rapid and non-destructive prediction of egg storage time at room temperature (23 ± 1 °C). H&N brown flock with 49-week-old hens were used as a source for the sampled eggs. Samples were scanned for a period of 22 days beginning from the time the egg was laid. The spectral acquisition was performed using a low-cost near-infrared reflectance (NIR) spectrometer which has a wavelength range between 740 nm and 1070 nm. The resulting dataset of 660 samples was randomly split according to a 10-fold cross-validation in order to be used in a contrast and optimization process of two machine learning algorithms. During the optimization, several models were tested to develop a robust calibration model. The best model used a Savitzky Golay pre-processing technique with a third derivative order and an artificial neural network with ten neurons in one hidden layer. Regressing the storage time of the eggs, tests achieved a coefficient of determination (R-squared) of 0.8319 ± 0.0377 and a root mean squared error in cross-validation test set (RMSECV) of 1.97 days. Although further work is needed, this technique shows industrial potential and consumer utility to determine an egg's freshness using a low-cost spectrometer connected to a smartphone.

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Section: Evaluation Of the Model In Unseen Data (Test Set)supporting

confidence: 91%

Section: Spectral Acquisition Of Eggsmentioning

confidence: 99%

Determination of egg storage time at room temperature using a low-cost NIR spectrometer and machine learning techniques

Coronel-Reyes

Ramírez-Morales

Fernández-Blanco

et al. 2018

Computers and Electronics in Agriculture

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“…The generation of calibration models was carried out using similar methodology as previously published ( Haughey, Galvin-King, Malechaux, & Elliott, 2014 ). The data pre-processing included standard normal variate technique (SNV), which compensates for differences in pathlengths due to scattering effects, 2nd order derivative and Pareto scaling using the SIMCA 14 chemometric software.…”

Section: Methodsmentioning

confidence: 99%

A comprehensive strategy to detect the fraudulent adulteration of herbs: The oregano approach

et al. 2016

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“…Accordingly, there are no NIR spectra simulations of melamine of any kind reported so far. On the other hand, melamine was intensively focused on in analytical near-infrared reflectance spectroscopy (NIRS) [9,42,43,44,45,46]; however, these studies have not been able to derive insightful physicochemical information on melamine.…”

Section: Introductionmentioning

confidence: 99%

Distinct Difference in Sensitivity of NIR vs. IR Bands of Melamine to Inter-Molecular Interactions with Impact on Analytical Spectroscopy Explained by Anharmonic Quantum Mechanical Study

et al. 2019

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Melamine (IUPAC: 1,3,5-Triazine-2,4,6-triamine) attracts high attention in analytical vibrational spectroscopy due to its misuse as a food adulterant. Vibrational spectroscopy [infrared (IR) and Raman and near-infrared (NIR) spectroscopy] is a major quality control tool in the detection and quantification of melamine content. The physical background for the measured spectra is not interpreted in analytical spectroscopy using chemometrics. In contrast, quantum mechanical calculations are capable of providing deep and independent insights therein. So far, the NIR region of crystalline melamine has not been studied by quantum mechanical calculations, while the investigations of its IR spectra have remained limited. In the present work, we employed fully anharmonic calculation of the NIR spectrum of melamine based on finite models, and also performed IR spectral simulation by using an infinite crystal model—periodic in three dimensions. This yielded detailed and unambiguous NIR band assignments and revised the previously known IR band assignments. We found that the out-of-plane fundamental transitions, which are essential in the IR region, are markedly more sensitive to out-of-plane inter-molecular interactions of melamine than NIR transitions. Proper description of the chemical surrounding of the molecule of melamine is more important than the anharmonicity of its vibrations. In contrast, the NIR bands mostly arise from in-plane vibrations, and remain surprisingly insensitive to the chemical environment. These findings explain previous observations that were reported in IR and NIR analytical studies of melamine.

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The use of handheld near-infrared reflectance spectroscopy (NIRS) for the proximate analysis of poultry feed and to detect melamine adulteration of soya bean meal

Abstract: Application of Handheld NIRS to proximate analysis of animal feed and detection of melamine adulteration of soya.

Cited by 29 publications

References 21 publications

Determination of egg storage time at room temperature using a low-cost NIR spectrometer and machine learning techniques

Determination of egg storage time at room temperature using a low-cost NIR spectrometer and machine learning techniques

A comprehensive strategy to detect the fraudulent adulteration of herbs: The oregano approach

Distinct Difference in Sensitivity of NIR vs. IR Bands of Melamine to Inter-Molecular Interactions with Impact on Analytical Spectroscopy Explained by Anharmonic Quantum Mechanical Study

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