Detection of mislabelling in the fresh potato retail market employing microsatellite markers

Lopez-Vizcon, Claudia; Ortega, Felisa

doi:10.1016/j.foodcont.2012.02.020

Cited by 10 publications

(5 citation statements)

References 24 publications

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“…By analyzing microsatellites, it has been possible to distinguish between different types of cocoa varieties [25]. Similar procedures exist for the differentiation of olive oil [84,85], wine [86], potato varieties [87], and meat [88].…”

Section: Genomics-based Methodsmentioning

confidence: 99%

“…Methods that are based on the determination of different isotope ratios can be relatively easily adopted in routine analysis, especially since the number of typically analyzed isotope ratios is very manageable. Usually 2 H/ 1 H, 13 C/ 12 C, 15 N/ 14 N, 18 O/ 16 O, and 34 S/ 32 S are detected, sometimes also, 87 Sr/ 86 Sr as well as 11 B/ 10 B. An internal calibration is already carried out by measuring the ratios.…”

Section: Metallomics-and Isotoplomics-based Methodsmentioning

confidence: 99%

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Food authentication in real life: How to link nontargeted approaches with routine analytics?

Creydt¹,

Fischer²

2020

Electrophoresis

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In times of increasing globalization and the resulting complexity of trade flows, securing food quality is an increasing challenge. The development of analytical methods for checking the integrity and, thus, the safety of food is one of the central questions for actors from science, politics, and industry. Targeted methods, for the detection of a few selected analytes, still play the most important role in routine analysis. In the past 5 years, nontargeted methods that do not aim at individual analytes but on analyte profiles that are as comprehensive as possible have increasingly come into focus. Instead of investigating individual chemical structures, data patterns are collected, evaluated and, depending on the problem, fed into databases that can be used for further nontargeted approaches. Alternatively, individual markers can be extracted and transferred to targeted methods. Such an approach requires (i) the availability of authentic reference material, (ii) the corresponding highresolution laboratory infrastructure, and (iii) extensive expertise in processing and storing very large amounts of data. Probably due to the requirements mentioned above, only a few methods have really established themselves in routine analysis. This review article focuses on the establishment of nontargeted methods in routine laboratories. Challenges are summarized and possible solutions are presented.

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Section: Genomics-based Methodsmentioning

confidence: 99%

Section: Metallomics-and Isotoplomics-based Methodsmentioning

confidence: 99%

Food authentication in real life: How to link nontargeted approaches with routine analytics?

Creydt¹,

Fischer²

2020

Electrophoresis

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“…This study corroborates with Li et al, 2020 [26], and Zhang and Xue, 2016 [27], who identified artificial enhancement as the major food fraud type and was due to usage of unapproved veterinary and human drug residues, or chemicals such as pesticides, food additives, and veterinary that were beyond the approved limits to enhance or prolonged the shelf-life of the food and drink products. Species replacement has been identified as a major problem in meat and poultry products [36,37], seafood [38,39], tubers [40], with 20% to more than 70% of the sampled products in the reported studies were identified as different species compared to the commercial name indicated on the label.…”

Section: Discussionmentioning

confidence: 99%

A Bayesian Approach to Predict Food Fraud Type and Point of Adulteration

Soon

Wahab

2022

Foods

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Primary and secondary food processing had been identified as areas vulnerable to fraud. Besides the food processing area, other stages within the food supply chain are also vulnerable to fraud. This study aims to develop a Bayesian network (BN) model to predict food fraud type and point of adulteration i.e., the occurrence of fraudulent activity. The BN model was developed using GeNie Modeler (BayesFusion, LLC) based on 715 notifications (1979–2018) from Food Adulteration Incidents Registry (FAIR) database. Types of food fraud were linked to six explanatory variables such as food categories, year, adulterants (chemicals, ingredients, non-food, microbiological, physical, and others), reporting country, point of adulteration, and point of detection. The BN model was validated using 80 notifications from 2019 to determine the predictive accuracy of food fraud type and point of adulteration. Mislabelling (20.7%), artificial enhancement (17.2%), and substitution (16.4%) were the most commonly reported types of fraud. Beverages (21.4%), dairy (14.3%), and meat (14.0%) received the highest fraud notifications. Adulterants such as chemicals (21.7%) (e.g., formaldehyde, methanol, bleaching agent) and cheaper, expired or rotten ingredients (13.7%) were often used to adulterate food. Manufacturing (63.9%) was identified as the main point of adulteration followed by the retailer (13.4%) and distribution (9.9%).

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“…Since objectivity is crucial to perform an accurate morphological typing, it is constraining to use exclusively morphological descriptors for plant cultivars, especially because most of the morphological traits are influenced by environmental factors. Several cases of misidentification, owing to classifications carried out only employing morphological traits, are reported in the scientific literature for a wide range of vegetal crops [12][13][14] and fruit trees [15][16][17][18]. Moreover, the uneven distribution, simultaneous cultivation of local varieties, ambiguous names, continuous interchange of plant materials among varieties and/or farmers of different regions and countries, possibility of the cultivation of varietal clones, and uncertainty of varietal certification in nurseries have complicated the identification of genotypes [19][20][21].…”

Section: 11mentioning

confidence: 99%

Critical Aspects on the Use of Microsatellite Markers for Assessing Genetic Identity of Crop Plant Varieties and Authenticity of their Food Derivatives

Palumbo¹,

Barcaccia²

2018

Rediscovery of Landraces as a Resource for the Future

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A total of 90 original articles concerning the varietal characterization and identification by means of SSR analysis of the five most economically relevant crops in Italy (i.e., Olea europaea L., Solanum lycopersicum L., Vitis vinifera L., Triticum spp. and Malus Â domestica Borkh.) have been selected and reviewed. Since the genetic traceability of processed products may result more complex, wine and olive oil have been considered too. Specifically, this chapter deals with three main aspects: (i) the criteria adopted for the selection of the most appropriate number, type, and distribution of SSR marker loci to be employed for varietal genotyping, (ii) the use of genetic statistics and parameters for the evaluation of the discriminant ability and applicability of SSR marker loci, and (iii) how to make different experimental works on the same species that are standardized, reliable, and comparable. What emerges from the studies reviewed here is a lack of wider consensus among the authors regarding the strategy to design and to adopt for genotyping plant varieties with SSR markers. This finding highlights the urgent need to establish a common procedure, especially for characterizing and preserving landraces, and for supporting its rediscovery and valorization locally.

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Detection of mislabelling in the fresh potato retail market employing microsatellite markers

Cited by 10 publications

References 24 publications

Food authentication in real life: How to link nontargeted approaches with routine analytics?

Food authentication in real life: How to link nontargeted approaches with routine analytics?

A Bayesian Approach to Predict Food Fraud Type and Point of Adulteration

Critical Aspects on the Use of Microsatellite Markers for Assessing Genetic Identity of Crop Plant Varieties and Authenticity of their Food Derivatives

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