Effective detection and quantification of chemical adulterants in model fat-filled milk powders using NIRS and hierarchical modelling strategies

Ejeahalaka, Kizito Kene; On, Stephen L.W.

doi:10.1016/j.foodchem.2019.125785

Cited by 18 publications

(8 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The technique was recently used to quantify and predict urea, L-taurine, L-histidine in whey protein powder [18]. It was used to quantify melamine in infant formula sample from different stores [19] and in protein powders [20][21][22][23][24]. All these studies however, involved adulterant concentrations of 1% up to 5% adulteration, thus the need to explore the possibility of using these methods to detect lower adulterant concentrations.…”

Section: Introductionmentioning

confidence: 99%

Detecting Low Concentrations of Nitrogen-Based Adulterants in Whey Protein Powder Using Benchtop and Handheld NIR Spectrometers and the Feasibility of Scanning through Plastic Bag

et al. 2020

View full text Add to dashboard Cite

Nitrogen-rich adulterants in protein powders present sensitivity challenges to conventional combustion methods of protein determination which can be overcome by near Infrared spectroscopy (NIRS). NIRS is a rapid analytical method with high sensitivity and non-invasive advantages. This study developed robust models using benchtop and handheld spectrometers to predict low concentrations of urea, glycine, taurine, and melamine in whey protein powder (WPP). Effectiveness of scanning samples through optical glass and polyethylene bags was also tested for the handheld NIRS. WPP was adulterated up to six concentration levels from 0.5% to 3% w/w. The two spectrometers were used to obtain three datasets of 819 diffuse reflectance spectra each that were pretreated before linear discriminant analysis (LDA) and regression (PLSR). Pretreatment was effective and revealed important absorption bands that could be correlated with the chemical properties of the mixtures. Benchtop NIR spectrometer showed the best results in LDA and PLSR but handheld NIR spectrometers showed comparatively good results. There were high prediction accuracies and low errors attesting to the robustness of the developed PLSR models using independent test set validation. Both the plastic bag and optical glass gave good results with accuracies depending on the adulterant of interest and can be used for field applications.

show abstract

Section: Introductionmentioning

confidence: 99%

Detecting Low Concentrations of Nitrogen-Based Adulterants in Whey Protein Powder Using Benchtop and Handheld NIR Spectrometers and the Feasibility of Scanning through Plastic Bag

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Evaluating the generated model, it was verified that for the concentrations 0–20 μg L −1 the predicted values diverged greatly from the actual concentrations for some samples, compromising the model adjustment. Knowing that acceptable predictive models should have a low relative error and R 2 > 0.95, 33 the model generated for milk samples with tylosin from 0 to 100 μg L −1 was considered unsatisfactory and it was decided to separate the samples into two groups (doped with tylosin 0–20 μg L −1 and 30–100 μg L −1 ) and apply PLS analysis to the groups separately.…”

Section: Resultsmentioning

confidence: 99%

FTIR spectroscopy with chemometrics for determination of tylosin residues in milk

et al. 2020

View full text Add to dashboard Cite

BACKGROUND Contamination of milk by antibiotic residues represents risks to the health of consumers; therefore they should be monitored. The objective of this study was to propose a methodology for the determination of tylosin residues directly in fluid milk based on mid‐infrared spectroscopy associated with chemometrics, using attenuated total reflection Fourier transform infrared (ATR‐FTIR) spectroscopy associated with multilayer perceptron network (MLP) and partial least squares (PLS). RESULTS MLP was shown to be adequate for the discrimination of milk samples contaminated with tylosin below or equal to or above the maximum residue limit (MRL), with an accuracy greater than 99%, using FTIR spectra data. PLS was shown to be appropriate for the prediction of the very low concentrations (0–100 μg L−1) of tylosin residues in milk using FTIR spectra data. PLS models with high correlation coefficients (R > 0.99) were generated. CONCLUSION FTIR with chemometrics proved to be a non‐destructive, efficient and low‐cost method for the investigation and quantification of tylosin residues directly in fluid milk. © 2020 Society of Chemical Industry

show abstract

“…In the field of food safety, much interest is aimed at the use of the NIRS technique to identify fraud and/or adulterations that can occur in the dairy sector such as the addition of water [126] or whey to milk, fraudulent addition of melanin, urea [127], and glucose [128]. Several sources of information are available to discriminate foods obtained from different farming systems, for example fatty acid profile may be used to discriminate milk obtained from different feeding systems [129,130].…”

Section: On-line Analysis Of Milk Quality (Total and Individual) In Tmentioning

confidence: 99%

An Overview on the Use of Near Infrared Spectroscopy (NIRS) on Farms for the Management of Dairy Cows

2021

View full text Add to dashboard Cite

Dairy farming is increasingly affected by the digital revolution. To respond to current challenges—such as environmental, economic, and social sustainability—new technologies must be adopted, entering the perspective of precision livestock farming. This is made possible by the development of countless sensors to be adopted in the barn. The technology that is affecting various aspects of dairy cattle breeding is certainly near infrared spectroscopy (NIRS) which is versatile and can be used online/inline to evaluate and control the critical points of the production process by entering the PAT (process analytical technology). In the barn, NIRS currently can obtain information on the chemical-physical composition of raw materials, total mixed ration (TMR), feces and digestibility, chemical and technological analysis of milk. All this in a short time by eliminating the waiting times for analysis response and costs, allowing an improvement of livestock management. Many studies affirm the validity of NIRS as a reliable and predictive technology against multiple relevant parameters in matrices such as raw feed, TMR, feces, and milk. This review highlights the usefulness of NIRS technology in dairy farm with particular attention to portable instrumentation usable directly on the farm.

show abstract

Effective detection and quantification of chemical adulterants in model fat-filled milk powders using NIRS and hierarchical modelling strategies

Cited by 18 publications

References 23 publications

Detecting Low Concentrations of Nitrogen-Based Adulterants in Whey Protein Powder Using Benchtop and Handheld NIR Spectrometers and the Feasibility of Scanning through Plastic Bag

Detecting Low Concentrations of Nitrogen-Based Adulterants in Whey Protein Powder Using Benchtop and Handheld NIR Spectrometers and the Feasibility of Scanning through Plastic Bag

FTIR spectroscopy with chemometrics for determination of tylosin residues in milk

An Overview on the Use of Near Infrared Spectroscopy (NIRS) on Farms for the Management of Dairy Cows

Contact Info

Product

Resources

About