Detection and quantification of milk adulteration using time domain nuclear magnetic resonance (TD-NMR)

Santos, Poliana M.; Pereira-Filho, Edenir Rodrigues; Colnago, Luiz Alberto

doi:10.1016/j.microc.2015.07.013

Cited by 91 publications

(32 citation statements)

References 27 publications

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“…Three recent NMR manuscripts involved detection of adulteration in milk, powdered milk, or butter [77][78][79]. Two publications involving edible lipids, including milk, additionally used more complicated NMR experiments (time-domain NMR and 13 C inept NMR) [80,81]. The more complicated NMR techniques enhance the resolution and quality of data collected.…”

Section: Nuclear Magnetic Resonancementioning

confidence: 99%

“…Nonetheless, one study succeeded in discriminating soymilk, bovine milk, goat milk, and their adulterants after coupling chemometrics and metabolite analysis using 1D-and 2D-NMR, with limit of quantification values ranging between 2% and 5% [273]. Some other studies highlighted the changing sensitivity and specificity of the 1 H time-domain NMR (TD-NMR) method, depending on the used adulterant [81,257].…”

Section: Milk or Dairy Products Authenticity Issue Analytical Techniqmentioning

confidence: 99%

See 1 more Smart Citation

Fraud in Animal Origin Food Products: Advances in Emerging Spectroscopic Detection Methods over the Past Five Years

Hassoun

Måge

Schmidt

et al. 2020

Foods

103

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Animal origin food products, including fish and seafood, meat and poultry, milk and dairy foods, and other related products play significant roles in human nutrition. However, fraud in this food sector frequently occurs, leading to negative economic impacts on consumers and potential risks to public health and the environment. Therefore, the development of analytical techniques that can rapidly detect fraud and verify the authenticity of such products is of paramount importance. Traditionally, a wide variety of targeted approaches, such as chemical, chromatographic, molecular, and protein-based techniques, among others, have been frequently used to identify animal species, production methods, provenance, and processing of food products. Although these conventional methods are accurate and reliable, they are destructive, time-consuming, and can only be employed at the laboratory scale. On the contrary, alternative methods based mainly on spectroscopy have emerged in recent years as invaluable tools to overcome most of the limitations associated with traditional measurements. The number of scientific studies reporting on various authenticity issues investigated by vibrational spectroscopy, nuclear magnetic resonance, and fluorescence spectroscopy has increased substantially over the past few years, indicating the tremendous potential of these techniques in the fight against food fraud. It is the aim of the present manuscript to review the state-of-the-art research advances since 2015 regarding the use of analytical methods applied to detect fraud in food products of animal origin, with particular attention paid to spectroscopic measurements coupled with chemometric analysis. The opportunities and challenges surrounding the use of spectroscopic techniques and possible future directions will also be discussed.

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Section: Nuclear Magnetic Resonancementioning

confidence: 99%

Section: Milk or Dairy Products Authenticity Issue Analytical Techniqmentioning

confidence: 99%

Fraud in Animal Origin Food Products: Advances in Emerging Spectroscopic Detection Methods over the Past Five Years

Hassoun

Måge

Schmidt

et al. 2020

Foods

103

View full text Add to dashboard Cite

show abstract

“…Time domain nuclear magnetic resonance ( 1 H TD-NMR) combined with SIMCA and NN models were also reported as useful rapid sequential strategy for milk authentication with high predictability, sensitivity and specificity (Santos, Pereira-Filho, & Colnago, 2016). In this study, five compounds undeclared in bovine milk label (urea, synthetic urine, whey, synthetic milk and hydrogen peroxide), were detected by using 1 H TD-NMR relaxation decay as discriminant parameters to provide information on diffusion, exchange processes and compartment sizes, being an extremely useful technique for measuring water and fat proportions in food.…”

Section: Dairy Food Productsmentioning

confidence: 99%

Analytical methods combined with multivariate analysis for authentication of animal and vegetable food products with high fat content

Valdés

Beltrán

Mellinas

et al. 2018

Trends in Food Science & Technology

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Background: Food fraud is described as a violation of food law, which is intentionally committed to get an economic or financial gain through the consumer's swindle resulting in multi-million business and posing a public health threat. The main fraudulent practices are mislabelling of composition, certificates of origin, health claims, and artificial increases in weight or volume caused by replacement, dilution, addition or removal of some ingredients. Hardly 68% of the food fraud violations are produced in animal and vegetable products with high fat content (27% meat, 13% fish, 11% oils, 10% dairy products, 4% nuts and seeds and 3% animal by-products) becoming a crucial issue for food processing industries. Scope and approach: The present review focuses on the main authentication techniques and methods employed to clarify the authenticity of both animal and vegetable fat food products emphasizing the importance of the use of robust and reliable analytical techniques combined with multivariate analyses. Key findings and conclusions: Targeted approaches, such as as chromatography and DNA-based methods, combined with multivariate analysis have shown high accuracy, sensitivity and selectivity, allowing the simultaneous evaluation of multiple analytes. In addition, non-target methods, such as those based on spectroscopic techniques, have been used to establish the geographic origin of food products with quick response, low cost, non-destructive character and also offering the possibility to be miniaturized.

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“…Li et al [5] demonstrated that lowfield nuclear magnetic resonance combined with magnetic resonance imaging can rapidly and noninvasively detect and map adulterated prawns injected with different hydrocolloids. Santos et al [6] reported that whey, urea, hydrogen peroxide, synthetic urine, and synthetic milk were added to the milk samples at concentrations of 5,15,25,35, and 50% v/v. e result showed that LF-NMR could effectively discriminate milk adulteration.…”

Section: Introductionmentioning

confidence: 99%

Effects of Hydrocolloid Injection on the Eating Quality of Pork Analyzed Based on Low-Field Nuclear Magnetic Resonance (LF-NMR)

Gai

Zhang

Zou

et al. 2019

Journal of Food Quality

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This study investigated the effects of hydrocolloid injection on the eating quality of porcine meat based on low-field nuclear magnetic resonance (LF-NMR). The eating quality and water distribution of hydrocolloid-injected pork were compared with control, and the principle component analysis (PCA) was applied for the identification of hydrocolloid-injected pork. Total color difference (ΔE∗), cooking loss, and moisture content of hydrocolloid-injected pork were significantly increased compared with the control (p<0.05). LF-NMR indicated that significant differences in the relaxation time and peak area proportion of immobilized water (T21, P21) and free water (T22, P22) were detected among hydrocolloid-injected samples and the control (p<0.05). The first two principal components (PCs) of PCA accounted for 54.07% and 33.56% of the observed variation, respectively. Based on the two PCs, the hydrocolloid-injected pork could be differentiated from the control. Therefore, LF-NMR combined with PCA offers an effective method for the analysis and detection of hydrocolloid-injected pork.

show abstract

Detection and quantification of milk adulteration using time domain nuclear magnetic resonance (TD-NMR)

Cited by 91 publications

References 27 publications

Fraud in Animal Origin Food Products: Advances in Emerging Spectroscopic Detection Methods over the Past Five Years

Fraud in Animal Origin Food Products: Advances in Emerging Spectroscopic Detection Methods over the Past Five Years

Analytical methods combined with multivariate analysis for authentication of animal and vegetable food products with high fat content

Effects of Hydrocolloid Injection on the Eating Quality of Pork Analyzed Based on Low-Field Nuclear Magnetic Resonance (LF-NMR)

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