Selected Instrumental Techniques Applied in Food and Feed: Quality, Safety and Adulteration Analysis

Artavia, Graciela; Cortés-Herrera, Carolina; Granados-Chinchilla, Fabio

doi:10.3390/foods10051081

Cited by 19 publications

(4 citation statements)

References 369 publications

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“…Both consumers and industry are asking the research community to implement tests that can help analyze food for authenticity. Mentioned above problems are forcing food safety and quality scientists to constantly search for new approaches and tools to address the main current problems with food quality, safety and authenticity [22].…”

Section: Discussionmentioning

confidence: 99%

Detection of chicken DNA in commercial dog foods

et al. 2022

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Background These days the number of potential food allergens is very large, but chicken is one of the most common allergens in dogs. Elimination diet is one of the clinical tools for the diagnosis of allergies and allergy tests are not very reliable. The restriction diet is most commonly carried out by feeding pet foods, relying on the ingredients on the label to select an elimination diet not containing previously eaten foods. Unfortunately, mislabeling of pet food is quite common. The purpose of this study was to determine the absence or presence of chicken DNA using both qualitative and quantitative polymerase chain reaction (PCR) analysis methods in dry and wet maintenance complete pet foods for adult dogs. Results were used to verify the declared composition on the labels. Results Eleven out of fifteen (73%) dog foods were produced as declared by the manufacturer, two of which showed the presence of chicken protein as stated on the label. The remaining nine foods contained amounts of chicken DNA below 1%, consistent with declarations that no chicken was added in the composition. Four of tested dog foods (27%) were not produced consistently with the declaration on the packaging. Two dog foods (one dry and one wet) did not contain the claimed chicken protein. In two foods the addition of chicken DNA was detected at the level of over 2% and almost 6%, respectively. Conclusions In this study, we focused on one of the most commonly undeclared animal species on the label—chicken protein—and performed DNA analyzes to investigate possible contamination and mislabeling. The results showed some inaccuracies. However, most of them are trace amounts below 1%, which proves compliance with the label. Our results showed that undeclared animal species can be as common as missing an animal protein declared on the label. The conducted research indicates that both dry and wet analyzed foods should not be recommended as a diagnostic tool in elimination tests, because it may result in false negative results. Over-the-counter maintenance foods for dogs should not be recommended for the diagnosis and treatment of food hypersensitivity.

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Section: Discussionmentioning

confidence: 99%

Detection of chicken DNA in commercial dog foods

et al. 2022

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“…Hyperspectral imaging (HSI), as a non-destructive and advanced optical technology, allows for the identification of image data using image analysis and processing methods, and the evaluation of spectral parameters of each image pixel [18]. Hyperspectral imaging also offers the possibility of assessing the distribution of ingredients within the chocolate.…”

Section: Discussionmentioning

confidence: 99%

Application of Computer Microtomography and Hyperspectral Imaging to Assess the Homogeneity of the Distribution of Active Ingredients in Functional Food

2022

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Functional foods represent one of the most intensively investigated and widely promoted areas in the food and nutrition sciences’ market today. The purpose of this work is to determine the possibility of using computed microtomography to assess the homogeneity of distribution of active pharmaceutical ingredients (vitamins K and D and calcium) throughout chocolate. Algorithms for analyzing of microtomographic images were proposed to quantify the distribution of active pharmaceutical ingredients (API) in chocolate: the Gray Level Co-Occurrence Matrix, quadtree decomposition and hyperspectral imaging. The use of the methods of analysis and processing of microtomographic images allows for a quantitative assessment of the homogeneity of the distribution of components throughout the sample, without a 3D reconstruction process. In computer microtomography analysis, it is possible to assess the distribution of those components whose density differs by at least a unit in the accepted scale of gray levels of images and for grain sizes not smaller than the voxel size. The proposed image analysis algorithms, Gray Level Co-Occurrence Matrix, quadtree decomposition and hyperspectral imaging, allow for the assessment of distribution of active ingredients in chocolate.

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“…Over time, for the detection and identification of food contaminants, various analytical procedures were developed [ 10 , 11 ], using sophisticated instrumental techniques, such as high-performance liquid chromatography–mass spectrometry (HPLC-MS), polymerase chain reaction (PCR) [ 12 , 13 ], enzyme-linked immunosorbent assay (ELISA) [ 14 ]. Considering that tests such as PCR and ELISA are destructive, time consuming, require well-trained specialists, and could produce erroneous results due to the presence of inhibitors in food, new methods are constantly researched.…”

Section: Introductionmentioning

confidence: 99%

Metallic and Metal Oxides Nanoparticles for Sensing Food Pathogens—An Overview of Recent Findings and Future Prospects

et al. 2022

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Nowadays, special importance is given to quality control and food safety. Food quality currently creates significant problems for the industry and implicitly for consumers and society. The effects materialize in economic losses, alterations of the quality and organoleptic properties of the commercial products, and, last but not least, they constitute risk factors for the consumer’s health. In this context, the development of analytical systems for the rapid determination of the sanitary quality of food products by detecting possible pathogenic microorganisms (such as Escherichia coli or Salmonella due to the important digestive disorders that they can cause in many consumers) is of major importance. Using efficient and environmentally friendly detection systems for identification of various pathogens that modify food matrices and turn them into food waste faster will also improve agri-food quality throughout the food chain. This paper reviews the use of metal nanoparticles used to obtain bio nanosensors for the purpose mentioned above. Metallic nanoparticles (Au, Ag, etc.) and their oxides can be synthesized by several methods, such as chemical, physical, physico-chemical, and biological, each bringing advantages and disadvantages in their use for developing nanosensors. In the “green chemistry” approach, a particular importance is given to the metal nanoparticles obtained by phytosynthesis. This method can lead to the development of good quality nanoparticles, at the same time being able to use secondary metabolites from vegetal wastes, as such providing a circular economy character. Considering these aspects, the use of phytosynthesized nanoparticles in other biosensing applications is also presented as a glimpse of their potential, which should be further explored.

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Selected Instrumental Techniques Applied in Food and Feed: Quality, Safety and Adulteration Analysis

Cited by 19 publications

References 369 publications

Detection of chicken DNA in commercial dog foods

Detection of chicken DNA in commercial dog foods

Application of Computer Microtomography and Hyperspectral Imaging to Assess the Homogeneity of the Distribution of Active Ingredients in Functional Food

Metallic and Metal Oxides Nanoparticles for Sensing Food Pathogens—An Overview of Recent Findings and Future Prospects

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