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Haider A, Iqbal SZ, Bhatti IA, Alim MB, Waseem M, Iqbal M, Mousavi Khaneghah A. Food authentication, current issues, analytical techniques, and future challenges: A comprehensive review. Compr Rev Food Sci Food Saf 2024; 23:e13360. [PMID: 38741454 DOI: 10.1111/1541-4337.13360] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Revised: 03/29/2024] [Accepted: 04/16/2024] [Indexed: 05/16/2024]
Abstract
Food authentication and contamination are significant concerns, especially for consumers with unique nutritional, cultural, lifestyle, and religious needs. Food authenticity involves identifying food contamination for many purposes, such as adherence to religious beliefs, safeguarding health, and consuming sanitary and organic food products. This review article examines the issues related to food authentication and food fraud in recent periods. Furthermore, the development and innovations in analytical techniques employed to authenticate various food products are comprehensively focused. Food products derived from animals are susceptible to deceptive practices, which can undermine customer confidence and pose potential health hazards due to the transmission of diseases from animals to humans. Therefore, it is necessary to employ suitable and robust analytical techniques for complex and high-risk animal-derived goods, in which molecular biomarker-based (genomics, proteomics, and metabolomics) techniques are covered. Various analytical methods have been employed to ascertain the geographical provenance of food items that exhibit rapid response times, low cost, nondestructiveness, and condensability.
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Affiliation(s)
- Ali Haider
- Food Safety and Toxicology Lab, Department of Applied Chemistry, Government College University, Faisalabad, Punjab, Pakistan
| | - Shahzad Zafar Iqbal
- Food Safety and Toxicology Lab, Department of Applied Chemistry, Government College University, Faisalabad, Punjab, Pakistan
| | - Ijaz Ahmad Bhatti
- Department of Chemistry, University of Agriculture, Faisalabad, Pakistan
| | | | - Muhammad Waseem
- Food Safety and Toxicology Lab, Department of Applied Chemistry, Government College University, Faisalabad, Punjab, Pakistan
| | - Munawar Iqbal
- Department of Chemistry, Division of Science and Technology, University of Education, Lahore, Pakistan
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2
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Christopoulou NM, Mamoulaki V, Mitsiakou A, Samolada E, Kalogianni DP, Christopoulos TK. Screening Method for the Visual Discrimination of Olive Oil from Other Vegetable Oils by a Multispecies DNA Sensor. Anal Chem 2024; 96:1803-1811. [PMID: 38243913 DOI: 10.1021/acs.analchem.3c05507] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2024]
Abstract
Olive oil is a prominent agricultural product which, in addition to its nutritional value and unique organoleptic characteristics, offers a variety of health benefits protecting against cardiovascular disease, cancer, and neurodegenerative diseases. The assessment of olive oil authenticity is an extremely important and challenging process aimed at protecting consumers and producers. The most frequent adulteration involves blending with less expensive and readily available vegetable/seed oils. The methods for adulteration detection, whether based on changes in metabolite profiles or based on DNA markers, require advanced and expensive instrumentation combined with powerful chemometric and statistical tools. To this end, we present a simple, multiplex, and inexpensive screening method based on the development of a multispecies DNA sensor for sample interrogation with the naked eye. It is the first report of a DNA sensor for olive oil adulteration detection with other plant oils. The sensor meets the 2-fold challenge of adulteration detection, i.e., determining whether the olive oil sample is adulterated and identifying the added vegetable oil. We have identified unique, nucleotide variations, which enable the discrimination of seven plant species (olive, corn, sesame, soy, sunflower, almond, and hazelnut). Following a single PCR step, a 20 min multiplex plant-discrimination reaction is performed, and the products are applied directly to the sensing device. The plant species are visualized as red spots using functionalized gold nanoparticles as reporters. The spot position reveals the identity of the plant species. As low as <5-10% of adulterant was detected with particularly good reproducibility and specificity.
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Affiliation(s)
- Natalia-Maria Christopoulou
- Analytical/Bioanalytical Chemistry & Nanotechnology Group, Department of Chemistry, University of Patras, Rio, Patras 26504, Greece
| | - Vasiliki Mamoulaki
- Analytical/Bioanalytical Chemistry & Nanotechnology Group, Department of Chemistry, University of Patras, Rio, Patras 26504, Greece
| | - Aglaia Mitsiakou
- Analytical/Bioanalytical Chemistry & Nanotechnology Group, Department of Chemistry, University of Patras, Rio, Patras 26504, Greece
| | - Eleni Samolada
- Analytical/Bioanalytical Chemistry & Nanotechnology Group, Department of Chemistry, University of Patras, Rio, Patras 26504, Greece
| | - Despina P Kalogianni
- Analytical/Bioanalytical Chemistry & Nanotechnology Group, Department of Chemistry, University of Patras, Rio, Patras 26504, Greece
| | - Theodore K Christopoulos
- Analytical/Bioanalytical Chemistry & Nanotechnology Group, Department of Chemistry, University of Patras, Rio, Patras 26504, Greece
- Institute of Chemical Engineering Sciences, Foundation for Research and Technology Hellas (FORTH/ICE-HT), Patras 26504, Greece
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Evaluation of DNA extraction methods for molecular traceability in cold pressed, solvent extracted and refined groundnut oils. Journal of Food Science and Technology 2021; 58:3561-3567. [PMID: 34366473 DOI: 10.1007/s13197-021-05079-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Revised: 03/12/2021] [Accepted: 03/17/2021] [Indexed: 10/21/2022]
Abstract
Groundnut oil (GNO)/peanut oil is one of the agro-food products with great economic value and hence an attractive target for adulteration and mislabeling. Simple Sequence Repeats (SSR) are markers of choice for DNA fingerprinting studies as they exhibit high polymorphism due to variable number of repeats. Hence, this study was designed to evaluate and optimize a method for DNA isolation from groundnut oil and study the possibility of using the isolated DNA for molecular traceability using SSR markers. Four methods to isolate DNA from groundnut oil were evaluated. All the four methods were modified CTAB protocols, but differed in procedures for extraction, buffer compositions, amount of oil used and DNA carriers. For molecular traceability of oils, extraction and recovery of DNA from edible oil is a key step, especially in refined oils. A method that employed DNA enrichment prior to extraction with CTAB buffer yielded amplifiable DNA from cold pressed GNO, crude hexane extracted GNO and refined GNO. The optimized method for isolation of DNA from groundnut oil is simple, efficient, less costly and reproducible when compared to chromatography and spectroscopy based techniques.
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Development of nucleic acid isolation by non-silica-based nanoparticles and real-time PCR kit for edible vegetable oil traceability. Food Chem 2019; 300:125205. [PMID: 31330372 DOI: 10.1016/j.foodchem.2019.125205] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2018] [Revised: 07/08/2019] [Accepted: 07/17/2019] [Indexed: 11/21/2022]
Abstract
For efficient extraction of amplifiable DNA from edible vegetable oils, we developed a novel DNA extraction approach based on the non-silica-based dipolar nanocomposites. The nanoparticle comprises a hydrophilic polymethyl methacrylate core with abundant capillaries, hydrophilic vesicles decorated with molecules having DNA affinity and a coating hydrophobic polystyrene layer. The nanoparticles are soluble in oil, adsorb the DNA from the aqueous phase and gave a high DNA recovery ratio. All DNA extracts from fully refined vegetable oil soybean, peanut, rapeseed, and cottonseed oils, including their blends, were sufficiently pure to be amplified by real-time PCR targeting the chloroplast ribulose-1,5-bisphosphate gene (rbcL), therefore, the species of origin and their ratios in mixed vegetable oils blended from two or three oil-species could be determined. These results indicate that the novel DNA isolation and real-time PCR kit is a simple, sensitive and efficient tool for the species identification and traceability in refined vegetable oils.
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Creydt M, Fischer M. Omics approaches for food authentication. Electrophoresis 2018; 39:1569-1581. [DOI: 10.1002/elps.201800004] [Citation(s) in RCA: 47] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2018] [Revised: 03/07/2018] [Accepted: 03/07/2018] [Indexed: 12/14/2022]
Affiliation(s)
- Marina Creydt
- Hamburg School of Food Science; Institute of Food Chemistry; University of Hamburg; Hamburg Germany
| | - Markus Fischer
- Hamburg School of Food Science; Institute of Food Chemistry; University of Hamburg; Hamburg Germany
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Bajoub A, Bendini A, Fernández-Gutiérrez A, Carrasco-Pancorbo A. Olive oil authentication: A comparative analysis of regulatory frameworks with especial emphasis on quality and authenticity indices, and recent analytical techniques developed for their assessment. A review. Crit Rev Food Sci Nutr 2017; 58:832-857. [PMID: 27657556 DOI: 10.1080/10408398.2016.1225666] [Citation(s) in RCA: 50] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
Over the last decades, olive oil quality and authenticity control has become an issue of great importance to consumers, suppliers, retailers, and regulators in both traditional and emerging olive oil producing countries, mainly due to the increasing worldwide popularity and the trade globalization of this product. Thus, in order to ensure olive oil authentication, various national and international laws and regulations have been adopted, although some of them are actually causing an enormous debate about the risk that they can represent for the harmonization of international olive oil trade standards. Within this context, this review was designed to provide a critical overview and comparative analysis of selected regulatory frameworks for olive oil authentication, with special emphasis on the quality and purity criteria considered by these regulation systems, their thresholds and the analytical methods employed for monitoring them. To complete the general overview, recent analytical advances to overcome drawbacks and limitations of the official methods to evaluate olive oil quality and to determine possible adulterations were reviewed. Furthermore, the latest trends on analytical approaches to assess the olive oil geographical and varietal origin traceability were also examined.
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Affiliation(s)
- Aadil Bajoub
- a Department of Analytical Chemistry, Faculty of Science , University of Granada , Granada , Spain
| | - Alessandra Bendini
- b Department of Agricultural and Food Sciences , University of Bologna , Cesena (FC) , Italy
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Trojánek Z, Kovařík A, Španová A, Marošiová K, Horák D, Rittich B. Application of magnetic polymethacrylate-based microspheres for the isolation of DNA from raw vegetables and processed foods of plant origin. J FOOD PROCESS PRES 2017. [DOI: 10.1111/jfpp.13384] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Zdeněk Trojánek
- Faculty of Chemistry; Brno University of Technology; Purkyňova 118, Brno 612 00, Czech Republic
| | - Aleš Kovařík
- Institute of Biophysics; Academy of Sciences of the Czech Republic; v.v.i., Královopolská 135, Brno 612 65, Czech Republic
| | - Alena Španová
- Faculty of Chemistry; Brno University of Technology; Purkyňova 118, Brno 612 00, Czech Republic
| | - Kristýna Marošiová
- Institute of Biophysics; Academy of Sciences of the Czech Republic; v.v.i., Královopolská 135, Brno 612 65, Czech Republic
| | - Daniel Horák
- Institute of Macromolecular Chemistry; Academy of Sciences of the Czech Republic; v.v.i., Heyrovsky Sq. 2, Prague 162 06, Czech Republic
| | - Bohuslav Rittich
- Faculty of Chemistry; Brno University of Technology; Purkyňova 118, Brno 612 00, Czech Republic
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Alonso-Rebollo A, Ramos-Gómez S, Busto MD, Ortega N. Development and optimization of an efficient qPCR system for olive authentication in edible oils. Food Chem 2017; 232:827-835. [PMID: 28490146 DOI: 10.1016/j.foodchem.2017.04.078] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2016] [Revised: 11/10/2016] [Accepted: 04/13/2017] [Indexed: 10/19/2022]
Abstract
The applicability of qPCR in olive-oil authentication depends on the DNA obtained from the oils and the amplification primers. Therefore, four olive-specific amplification systems based on the trnL gene were designed (A-, B-, C- and D-trnL systems). The qPCR conditions, primer concentration and annealing temperature, were optimized. The systems were tested for efficiency and sensitivity to select the most suitable for olive oil authentication. The selected system (D-trnL) demonstrated specificity toward olive in contrast to other oleaginous species (canola, soybean, sunflower, maize, peanut and coconut) and showed high sensitivity in a broad linear dynamic range (LOD and LOQ: 500ng - 0.0625pg). This qPCR system enabled detection, with high sensitivity and specificity, of olive DNA isolated from oils processed in different ways, establishing it as an efficient method for the authentication of olive oil regardless of its category.
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Affiliation(s)
- Alba Alonso-Rebollo
- Department of Biotechnology and Food Science, University of Burgos, Plaza Misael Bañuelos, s/n, 09001 Burgos, Spain
| | - Sonia Ramos-Gómez
- Department of Biotechnology and Food Science, University of Burgos, Plaza Misael Bañuelos, s/n, 09001 Burgos, Spain
| | - María D Busto
- Department of Biotechnology and Food Science, University of Burgos, Plaza Misael Bañuelos, s/n, 09001 Burgos, Spain
| | - Natividad Ortega
- Department of Biotechnology and Food Science, University of Burgos, Plaza Misael Bañuelos, s/n, 09001 Burgos, Spain.
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Barcode DNA length polymorphisms vs fatty acid profiling for adulteration detection in olive oil. Food Chem 2017; 221:1026-1033. [DOI: 10.1016/j.foodchem.2016.11.059] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2016] [Revised: 07/29/2016] [Accepted: 11/13/2016] [Indexed: 11/22/2022]
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10
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Ou G, Hu R, Zhang L, Li P, Luo X, Zhang Z. Advanced detection methods for traceability of origin and authenticity of olive oils. ANALYTICAL METHODS 2015; 7:5731-5739. [DOI: 10.1039/c5ay00048c] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/27/2024]
Abstract
This review focuses on the advances in the sensing and identification of adulteration of olive oil, including optical sensing, chromatography, nuclear magnetic resonance, and DNA-based methods.
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Affiliation(s)
- Gaozhi Ou
- Department of Sports
- China University of Geosciences (Wuhan)
- Wuhan
- P. R. China
| | - Rui Hu
- Institute of Hydrobiology
- Chinese Academy of Sciences
- Wuhan
- P. R. China
| | - Liangxiao Zhang
- Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences
- Key Laboratory of Biology and Genetic Improvement of Oil Crops
- Ministry of Agriculture
- Key Laboratory of Detection for Mycotoxins
- Ministry of Agriculture
| | - Peiwu Li
- Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences
- Key Laboratory of Biology and Genetic Improvement of Oil Crops
- Ministry of Agriculture
- Key Laboratory of Detection for Mycotoxins
- Ministry of Agriculture
| | - Xinjian Luo
- Department of Sports
- China University of Geosciences (Wuhan)
- Wuhan
- P. R. China
| | - Zhaowei Zhang
- Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences
- Key Laboratory of Biology and Genetic Improvement of Oil Crops
- Ministry of Agriculture
- Key Laboratory of Detection for Mycotoxins
- Ministry of Agriculture
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Osorio MT, Haughey SA, Elliott CT, Koidis A. Evaluation of methodologies to determine vegetable oil species present in oil mixtures: Proposition of an approach to meet the EU legislation demands for correct vegetable oils labelling. Food Res Int 2014. [DOI: 10.1016/j.foodres.2013.12.013] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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12
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Detection of plant oil DNA using high resolution melting (HRM) post PCR analysis: A tool for disclosure of olive oil adulteration. Food Chem 2013; 141:3820-6. [DOI: 10.1016/j.foodchem.2013.06.075] [Citation(s) in RCA: 63] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2012] [Revised: 05/07/2013] [Accepted: 06/18/2013] [Indexed: 11/23/2022]
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13
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Dankowska A, Małecka M, Kowalewski W. Discrimination of edible olive oils by means of synchronous fluorescence spectroscopy with multivariate data analysis. GRASAS Y ACEITES 2013. [DOI: 10.3989/gya.012613] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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Xie J, Liu T, Yu Y, Song G, Hu Y. Rapid Detection and Quantification by GC–MS of Camellia Seed Oil Adulterated with Soybean Oil. J AM OIL CHEM SOC 2013. [DOI: 10.1007/s11746-013-2209-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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Costa J, Mafra I, Oliveira MBP. Advances in vegetable oil authentication by DNA-based markers. Trends Food Sci Technol 2012. [DOI: 10.1016/j.tifs.2012.01.009] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
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