1
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Xing RR, Bai WM, Hu D, Deng TT, Zhang JK, Chen Y. Using a DNA mini-barcode within the ITS region to identify toxic Amanita in mushroom poisoning cases. Appl Microbiol Biotechnol 2024; 108:376. [PMID: 38884656 PMCID: PMC11182838 DOI: 10.1007/s00253-024-13219-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2024] [Revised: 05/28/2024] [Accepted: 06/02/2024] [Indexed: 06/18/2024]
Abstract
Mushroom poisoning contributes significantly to global foodborne diseases and related fatalities. Amanita mushrooms frequently cause such poisonings; however, identifying these toxic species is challenging due to the unavailability of fresh and intact samples. It is often necessary to analyze residues, vomitus, or stomach extracts to obtain DNA sequences for the identification of species responsible for causing food poisoning. This usually proves challenging to obtain usable DNA sequences that can be analyzed using conventional molecular biology techniques. Therefore, this study aimed to develop a DNA mini-barcoding method for the identification of Amanita species. Following the evaluation and optimization of universal primers for DNA mini-barcoding in Amanita mushrooms, we found that the internal transcribed spacer (ITS) gene sequence primer ITS-a was the most suitable DNA barcode primer for identifying Amanita species. Forty-three Amanita samples were subsequently amplified and sequenced. The sequences obtained were analyzed for intra- and inter-species genetic distances, and a phylogenetic tree was constructed. The findings indicated that the designed primers had strong universality among the Amanita samples and could accurately identify the target gene fragment with a length of 290 bp. Notably, the DNA mini-barcode accurately identified the 43 Amanita samples, demonstrating high consistency with the conventional DNA barcode. Furthermore, it effectively identified DNA from digested samples. In summary, this DNA mini-barcode is a promising tool for detecting accidental ingestion of toxic Amanita mushrooms. It may be used as an optimal barcode for species identification and traceability in events of Amanita-induced mushroom poisoning. KEY POINTS: • Development of a DNA mini-barcoding method for Amanita species identification without fresh samples. • The ITS-a primer set was optimized for robust universality in Amanita samples. • The mini-barcode is suitable for screening toxic mushroom species in mushroom poisoning cases.
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Affiliation(s)
- Ran-Ran Xing
- National Key Laboratory for Market Supervision (Food Authentication), Chinese Academy of Inspection and Quarantine, No. 11, Ronghua South Street, Daxing District, Beijing, 100176, China
| | - Wen-Ming Bai
- National Key Laboratory for Market Supervision (Food Authentication), Chinese Academy of Inspection and Quarantine, No. 11, Ronghua South Street, Daxing District, Beijing, 100176, China
- College of Food Science, South China Agricultural University, Guangzhou, 510642, China
| | - Di Hu
- National Key Laboratory for Market Supervision (Food Authentication), Chinese Academy of Inspection and Quarantine, No. 11, Ronghua South Street, Daxing District, Beijing, 100176, China
- Nanjing University of Finance and Economics, Nanjing, 210046, China
| | - Ting-Ting Deng
- National Key Laboratory for Market Supervision (Food Authentication), Chinese Academy of Inspection and Quarantine, No. 11, Ronghua South Street, Daxing District, Beijing, 100176, China
| | - Jiu-Kai Zhang
- National Key Laboratory for Market Supervision (Food Authentication), Chinese Academy of Inspection and Quarantine, No. 11, Ronghua South Street, Daxing District, Beijing, 100176, China
| | - Ying Chen
- National Key Laboratory for Market Supervision (Food Authentication), Chinese Academy of Inspection and Quarantine, No. 11, Ronghua South Street, Daxing District, Beijing, 100176, China.
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Giusti A, Spatola G, Mancini S, Nuvoloni R, Armani A. Novel foods, old issues: Metabarcoding revealed mislabeling in insect-based products sold by e-commerce on the EU market. Food Res Int 2024; 184:114268. [PMID: 38609245 DOI: 10.1016/j.foodres.2024.114268] [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: 02/09/2024] [Revised: 03/19/2024] [Accepted: 03/20/2024] [Indexed: 04/14/2024]
Abstract
Insects intended for human consumption are considered Novel Foods according to EU legislation. marketed in form of powders, bars, snacks are increasingly available on the EU market, especially on e-commerce. The commercial form and the way of distribution make IBPs particularly prone to mislabeling. Literature concerning the mislabeling occurrence in IBPs is extremely scarce. In this study, 46 processed IBPs were collected on nine EU e-commerce platforms (e-CO) to be authenticated by metabarcoding. A 200 bp region from 16S rRNA gene was used as molecular target. Sequencing data were processed using DADA2 R package, and sequences were taxonomically assigned through BLAST analysis against GenBank. Procedural blanks and positive controls were included in the analysis, and threshold values were established to filter the final data. The mislabeling rate (i. e. the mismatch between the species declared on the IBP label and the species identified by metabarcoding) was calculated. Overall, a high mislabeling rate (33.3 %) was observed, although this percentage is influenced by the e-CO platform and the insect species, with A. domesticus particularly involved. The use of species not listed in authorized Novel Food (e. g. Gryllus locorojo), and/or the partial replacement of high value species with lower value species was highlighted for the first time in processed IBPs. The presence of insect pests was also detected. Metabarcoding was confirmed as an effective tool for IBPs authentication. Also, outcomes from this study can provide useful data on the main issues involving the EU IBPs' market, that can represent an incentive to reinforce both official controls and FBO's self-controls on these poorly investigated products.
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Affiliation(s)
- Alice Giusti
- Department of Veterinary Sciences, University of Pisa, 56124 Pisa, Italy
| | - Gabriele Spatola
- Department of Veterinary Sciences, University of Pisa, 56124 Pisa, Italy
| | - Simone Mancini
- Department of Veterinary Sciences, University of Pisa, 56124 Pisa, Italy
| | - Roberta Nuvoloni
- Department of Veterinary Sciences, University of Pisa, 56124 Pisa, Italy
| | - Andrea Armani
- Department of Veterinary Sciences, University of Pisa, 56124 Pisa, Italy.
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3
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Muhala V, Guimarães-Costa A, Macate IE, Rabelo LP, Bessa-Silva AR, Watanabe L, dos Santos GD, Sambora L, Vallinoto M, Sampaio I. DNA barcoding for the assessment of marine and coastal fish diversity from the Coast of Mozambique. PLoS One 2024; 19:e0293345. [PMID: 38319915 PMCID: PMC10846724 DOI: 10.1371/journal.pone.0293345] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Accepted: 10/10/2023] [Indexed: 02/08/2024] Open
Abstract
The ichthyological provinces of Mozambique are understudied hotspots of global fish diversity. In this study, we applied DNA barcoding to identify the composition of the fish fauna from the coast of Mozambique. A total of 143 species belonging to 104 genera, 59 families, and 30 orders were identified. The overall K2P distance of the COI sequences within species ranged from 0.00% to 1.51%, while interspecific distances ranged from 3.64% to 24.49%. Moreover, the study revealed 15 threatened species according to the IUCN Red List of Threatened Species, with elasmobranchs being the most represented group. Additionally, the study also uncovered four new species that were not previously recorded in this geographic area, including Boleophthalmus dussumieri, Maculabatis gerrardi, Hippocampus kelloggi, and Lethrinus miniatus. This study represents the first instance of utilizing molecular references to explore the fish fauna along the Mozambican coast. Our results indicate that DNA barcoding is a dependable technique for the identification and delineation of fish species in the waters of Mozambique. The DNA barcoding library established in this research will be an invaluable asset for advancing the understanding of fish diversity and guiding future conservation initiatives.
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Affiliation(s)
- Valdemiro Muhala
- Laboratório de Evolução, Universidade Federal do Pará, Alameda Leandro Ribeiro, Aldeia, Bragança, Pará, Brazil
- Divisão de Agricultura, Instituto Superior Politécnico de Gaza, Chókwè, Mozambique
| | - Aurycéia Guimarães-Costa
- Laboratório de Evolução, Universidade Federal do Pará, Alameda Leandro Ribeiro, Aldeia, Bragança, Pará, Brazil
| | - Isadola Eusébio Macate
- Laboratório de Evolução, Universidade Federal do Pará, Alameda Leandro Ribeiro, Aldeia, Bragança, Pará, Brazil
- Departamento de Ciências Agrárias e Ambientais, Universidade Estadual de Santa Cruz, Ilheus, BA, Brazil
| | - Luan Pinto Rabelo
- Laboratório de Evolução, Universidade Federal do Pará, Alameda Leandro Ribeiro, Aldeia, Bragança, Pará, Brazil
| | - Adam Rick Bessa-Silva
- Laboratório de Evolução, Universidade Federal do Pará, Alameda Leandro Ribeiro, Aldeia, Bragança, Pará, Brazil
| | - Luciana Watanabe
- Laboratório de Evolução, Universidade Federal do Pará, Alameda Leandro Ribeiro, Aldeia, Bragança, Pará, Brazil
| | - Gisele Damasceno dos Santos
- Laboratório de Evolução, Universidade Federal do Pará, Alameda Leandro Ribeiro, Aldeia, Bragança, Pará, Brazil
| | - Luísa Sambora
- Departamento de Produção Agrária, Escola Superior de Desenvolvimento Rural, Universidade Eduardo Mondlane, Vilankulos, Moçambique
| | - Marcelo Vallinoto
- Laboratório de Evolução, Universidade Federal do Pará, Alameda Leandro Ribeiro, Aldeia, Bragança, Pará, Brazil
| | - Iracilda Sampaio
- Laboratório de Evolução, Universidade Federal do Pará, Alameda Leandro Ribeiro, Aldeia, Bragança, Pará, Brazil
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Giusti A, Malloggi C, Magagna G, Filipello V, Armani A. Is the metabarcoding ripe enough to be applied to the authentication of foodstuff of animal origin? A systematic review. Compr Rev Food Sci Food Saf 2024; 23:e13256. [PMID: 38284609 DOI: 10.1111/1541-4337.13256] [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: 07/04/2023] [Revised: 09/25/2023] [Accepted: 10/02/2023] [Indexed: 01/30/2024]
Abstract
Food authentication using molecular techniques is of great importance to fight food fraud. Metabarcoding, based on the next-generation sequencing (NGS) technologies, allowing large-scale taxonomic identification of complex samples via massive parallel sequencing of fragments (called DNA barcodes) simultaneously, has become increasingly popular in many scientific fields. A systematic review to answer the question "Is the metabarcoding ripe enough to be applied to the authentication of foodstuff of animal origin?" is presented. The inclusion criteria were focused on the selection of scientific papers (SPs) only applying metabarcoding to foodstuff of animal origin collected on the market. The 23 included SPs were first analyzed with respect to the metabarcoding phases: library preparation (target genes, primer pairs, and fragment length), sequencing (NGS platforms), and final data analysis (bioinformatic pipelines). Given the importance of primer selection, the taxonomic coverage of the used primers was also evaluated. In addition, the SPs were scored based on the use of quality control measures (procedural blanks, positive controls, replicates, curated databases, and thresholds to filter the data). A lack of standardized protocols, especially with respect to the target barcode/s and the universal primer/s, and the infrequent application of the quality control measures, leads to answer that metabarcoding is not ripe enough for authenticating foodstuff of animal origin. However, the observed trend of the SP quality improvement over the years is encouraging. Concluding, a proper protocol standardization would allow a wider use of metabarcoding by both official and private laboratories, enabling this method to become the primary for the authentication of foodstuffs of animal origin.
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Affiliation(s)
- Alice Giusti
- FishLab, Department of Veterinary Sciences, University of Pisa, Pisa, Italy
| | - Chiara Malloggi
- FishLab, Department of Veterinary Sciences, University of Pisa, Pisa, Italy
| | - Giulia Magagna
- Istituto Zooprofilattico Sperimentale della Lombardia e dell'Emilia Romagna "Bruno Ubertini", Brescia, Italy
| | - Virginia Filipello
- Istituto Zooprofilattico Sperimentale della Lombardia e dell'Emilia Romagna "Bruno Ubertini", Brescia, Italy
| | - Andrea Armani
- FishLab, Department of Veterinary Sciences, University of Pisa, Pisa, Italy
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5
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Zhang Y, Shi J, Tan C, Liu Y, Xu YJ. Oilomics: An important branch of foodomics dealing with oil science and technology. Food Res Int 2023; 173:113301. [PMID: 37803609 DOI: 10.1016/j.foodres.2023.113301] [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: 05/08/2023] [Revised: 07/16/2023] [Accepted: 07/20/2023] [Indexed: 10/08/2023]
Abstract
Oil is one of three nutritious elements. The application of omics techniques in the field of oil science and technology is attracted increasing attention. Oilomics, which emerged as an important branch of foodomics, has been widely used in various aspects of oil science and technology. However, there are currently no articles systematically reviewing the application of oilomics. This paper aims to provide a critical overview of the advantages and value of oilomics technology compared to traditional techniques in various aspects of oil science and technology, including oil nutrition, oil processing, oil quality, safety, and traceability. Moreover, this article intends to review major issues in oilomics and give a comprehensive, critical overview of the current state of the art, future challenges and trends in oilomics, with a view to promoting the optimal application and development of oilomics technology in oil science and technology.
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Affiliation(s)
- Yu Zhang
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, National Engineering Reacher Center for Functional Food, National Engineering Laboratory for Cereal Fermentation Technology, Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, No. 1800, Lihu Road, Wuxi 214122, Jiangsu, People's Republic of China
| | - Jiachen Shi
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, National Engineering Reacher Center for Functional Food, National Engineering Laboratory for Cereal Fermentation Technology, Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, No. 1800, Lihu Road, Wuxi 214122, Jiangsu, People's Republic of China
| | - Chinping Tan
- Department of Food Technology, Faculty of Food Science and Technology, Universiti Putra Malaysia, UPM, 43400 Serdang, Selangor, Malaysia
| | - Yuanfa Liu
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, National Engineering Reacher Center for Functional Food, National Engineering Laboratory for Cereal Fermentation Technology, Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, No. 1800, Lihu Road, Wuxi 214122, Jiangsu, People's Republic of China
| | - Yong-Jiang Xu
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, National Engineering Reacher Center for Functional Food, National Engineering Laboratory for Cereal Fermentation Technology, Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, No. 1800, Lihu Road, Wuxi 214122, Jiangsu, People's Republic of China.
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6
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Filonzi L, Ardenghi A, Rontani PM, Voccia A, Ferrari C, Papa R, Bellin N, Nonnis Marzano F. Molecular Barcoding: A Tool to Guarantee Correct Seafood Labelling and Quality and Preserve the Conservation of Endangered Species. Foods 2023; 12:2420. [PMID: 37372635 DOI: 10.3390/foods12122420] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 06/14/2023] [Accepted: 06/16/2023] [Indexed: 06/29/2023] Open
Abstract
The recent increase in international fish trade leads to the need for improving the traceability of fishery products. In relation to this, consistent monitoring of the production chain focusing on technological developments, handling, processing and distribution via global networks is necessary. Molecular barcoding has therefore been suggested as the gold standard in seafood species traceability and labelling. This review describes the DNA barcoding methodology for preventing food fraud and adulteration in fish. In particular, attention has been focused on the application of molecular techniques to determine the identity and authenticity of fish products, to discriminate the presence of different species in processed seafood and to characterize raw materials undergoing food industry processes. In this regard, we herein present a large number of studies performed in different countries, showing the most reliable DNA barcodes for species identification based on both mitochondrial (COI, cytb, 16S rDNA and 12S rDNA) and nuclear genes. Results are discussed considering the advantages and disadvantages of the different techniques in relation to different scientific issues. Special regard has been dedicated to a dual approach referring to both the consumer's health and the conservation of threatened species, with a special focus on the feasibility of the different genetic and genomic approaches in relation to both scientific objectives and permissible costs to obtain reliable traceability.
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Affiliation(s)
- Laura Filonzi
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, 43124 Parma, Italy
| | - Alessia Ardenghi
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, 43124 Parma, Italy
| | - Pietro Maria Rontani
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, 43124 Parma, Italy
| | - Andrea Voccia
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, 43124 Parma, Italy
| | - Claudio Ferrari
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, 43124 Parma, Italy
| | - Riccardo Papa
- Department Biology, University of Puerto Rico, Rio Piedras, San Juan 00925, Puerto Rico
| | - Nicolò Bellin
- Department Biology, University of Puerto Rico, Rio Piedras, San Juan 00925, Puerto Rico
| | - Francesco Nonnis Marzano
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, 43124 Parma, Italy
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Gorini T, Mezzasalma V, Deligia M, De Mattia F, Campone L, Labra M, Frigerio J. Check Your Shopping Cart: DNA Barcoding and Mini-Barcoding for Food Authentication. Foods 2023; 12:2392. [PMID: 37372604 DOI: 10.3390/foods12122392] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 06/07/2023] [Accepted: 06/14/2023] [Indexed: 06/29/2023] Open
Abstract
The molecular approach of DNA barcoding for the characterization and traceability of food products has come into common use in many European countries. However, it is important to address and solve technical and scientific issues such as the efficiency of the barcode sequences and DNA extraction methods to be able to analyze all the products that the food sector offers. The goal of this study is to collect the most defrauded and common food products and identify better workflows for species identification. A total of 212 specimens were collected in collaboration with 38 companies belonging to 5 different fields: seafood, botanicals, agrifood, spices, and probiotics. For all the typologies of specimens, the most suitable workflow was defined, and three species-specific primer pairs for fish were also designed. Results showed that 21.2% of the analyzed products were defrauded. A total of 88.2% of specimens were correctly identified by DNA barcoding analysis. Botanicals (28.8%) have the highest number of non-conformances, followed by spices (28.5%), agrifood (23.5%), seafood (11.4%), and probiotics (7.7%). DNA barcoding and mini-barcoding are confirmed as fast and reliable methods for ensuring quality and safety in the food field.
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Affiliation(s)
- Tommaso Gorini
- FEM2-Ambiente, Piazza della Scienza 2, 20126 Milano, Italy
| | | | - Marta Deligia
- Department of Scienze Agrarie, Forestali e Alimentari, University of Turin, Via Verdi 8, 10124 Torino, Italy
| | | | - Luca Campone
- Department of Biotechnology and Biosciences, University of Milano-Bicocca, Piazza della Scienza 2, 20126 Milano, Italy
| | - Massimo Labra
- Department of Biotechnology and Biosciences, University of Milano-Bicocca, Piazza della Scienza 2, 20126 Milano, Italy
| | - Jessica Frigerio
- Department of Biotechnology and Biosciences, University of Milano-Bicocca, Piazza della Scienza 2, 20126 Milano, Italy
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8
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Li M, Lei T, Wang G, Zhang D, Liu H, Zhang Z. Monitoring insect biodiversity and comparison of sampling strategies using metabarcoding: A case study in the Yanshan Mountains, China. Ecol Evol 2023; 13:e10031. [PMID: 37091562 PMCID: PMC10121320 DOI: 10.1002/ece3.10031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 03/31/2023] [Accepted: 04/07/2023] [Indexed: 04/25/2023] Open
Abstract
Insects are the richest and most diverse group of animals and yet there remains a lack, not only of systematic research into their distribution across some key regions of the planet, but of standardized sampling strategies for their study. The Yanshan Mountains, being the boundary range between the Inner Mongolian Plateau and the North China Plain, present an indispensable piece of the insect biodiversity puzzle: both requiring systematic study and offering opportunities for the development of standardized methodologies. This is the first use of DNA metabarcoding to survey the insect biodiversity of the Yanshan Mountains. The study focuses on differences of community composition among samples collected via different methods and from different habitat types. In total, 74 bulk samples were collected from five habitat types (scrubland, woodland, wetland, farmland and grassland) using three collection methods (sweep netting, Malaise traps and light traps). After DNA extraction, PCR amplification, sequencing and diversity analysis were performed, a total of 7427 Operational Taxonomic Units (OTUs) at ≥97% sequence similarity level were delimited, of which 7083 OTUs were identified as belonging to Insecta. Orthoptera, Diptera, Coleoptera and Hemiptera were found to be the dominant orders according to community composition analysis. Nonmetric multidimensional scaling (NMDS) analysis based on Bray-Curtis distances revealed highly divergent estimates of insect community composition among samples differentiated by the collection method (R = .524802, p = .001), but nonsignificant difference among samples differentiated according to habitat (R = .051102, p = .078). The study therefore appears to indicate that the concurrent use of varied collection methods is essential to the accurate monitoring of insect biodiversity.
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Affiliation(s)
- Min Li
- College of Biological Science and TechnologyTaiyuan Normal UniversityJinzhongChina
| | - Ting Lei
- College of Biological Science and TechnologyTaiyuan Normal UniversityJinzhongChina
| | - Guobin Wang
- College of Biological Science and TechnologyTaiyuan Normal UniversityJinzhongChina
| | - Danli Zhang
- College of Biological Science and TechnologyTaiyuan Normal UniversityJinzhongChina
| | - Huaxi Liu
- Department of Life SciencesNatural History MuseumLondonUK
| | - Zhiwei Zhang
- College of Forestry, Shanxi Agricultural UniversityJinzhongChina
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9
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Vaitiekūnaitė D, Dodoo D, Snitka V. Traceability of bilberries (Vaccinium myrtillus L.) of the Baltic-Nordic region using surface-enhanced Raman spectroscopy (SERS): DFT simulation-based DNA analysis. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2023; 288:122192. [PMID: 36493623 DOI: 10.1016/j.saa.2022.122192] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Revised: 11/25/2022] [Accepted: 11/25/2022] [Indexed: 06/17/2023]
Abstract
Food traceability is a major issue in the industry. We investigated whether bilberries (Vaccinium myrtillus L.) from 4 different locations within the Baltic-Nordic region could be effectively differentiated using surface-enhanced Raman scattering (SERS) based spectral data and chemometric analyses. Furthermore, we aimed to determine if nucleobase (adenine and cytosine) methylation could be responsible for any observed variation. Our experiment was successful in that both principal component (PCA) and discriminant function analyses (DFA) showed differentiation between bilberry DNA from all 4 geographical regions. Density functional theory (DFT) based simulations allowed us to analyze whether DNA's spectral data dissimilarities may be due to nucleobase methylation. Although results were inconclusive on this, our investigation provides valuable data on simulated versus experimental DNA and DNA component spectra. Further research will be directed towards understanding what other epigenetic changes could be responsible for the observed DNA variation as well as determining the optimal parameters for using DFT simulations in upcoming projects.
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Affiliation(s)
- Dorotėja Vaitiekūnaitė
- Lithuanian Research Centre for Agriculture and Forestry, Laboratory of Forest Plant Biotechnology Institute of Forestry, Liepu st. 1, LT-53101 Girionys, Lithuania.
| | - Daniel Dodoo
- Department of Chemical Engineering, The University of Melbourne, Parkville, Melbourne, Victoria 3010, Australia.
| | - Valentinas Snitka
- Research Center for Microsystems and Nanotechnology, Kaunas University of Technology, Studentu str. 65, LT-51369 Kaunas, Lithuania.
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10
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Yanjin F, Hanyue X, Xiong X, Ying Y, Libin W, Xiaohui X. Detection of Salmonidae ingredient using mini-DNA barcoding in conjunction with a rapid visual inspection method. J Food Compost Anal 2023. [DOI: 10.1016/j.jfca.2023.105198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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11
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Jafar S, Waheed F, Anjum KM, Shehzad W, Imran M. A Low-Cost Closed-Tube Method for Detection of Adulteration in Ground Meat. FOOD BIOTECHNOL 2023. [DOI: 10.1080/08905436.2022.2163250] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Affiliation(s)
- Sana Jafar
- Molecular Diagnostics Laboratory, Institute of Biochemistry and Biotechnology, University of Veterinary and Animal Sciences, Lahore, Pakistan
| | - Fadia Waheed
- Molecular Diagnostics Laboratory, Institute of Biochemistry and Biotechnology, University of Veterinary and Animal Sciences, Lahore, Pakistan
| | - Khalid Mahmood Anjum
- Department of Wildlife and Ecology, University of Veterinary and Animal Sciences, Ravi Campus, Pattoki, Pakistan
| | - Wasim Shehzad
- Molecular Diagnostics Laboratory, Institute of Biochemistry and Biotechnology, University of Veterinary and Animal Sciences, Lahore, Pakistan
| | - Muhammad Imran
- Molecular Diagnostics Laboratory, Institute of Biochemistry and Biotechnology, University of Veterinary and Animal Sciences, Lahore, Pakistan
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12
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Frigerio J, Gorini T, Palumbo C, De Mattia F, Labra M, Mezzasalma V. A Fast and Simple DNA Mini-barcoding and RPA Assay Coupled with Lateral Flow Assay for Fresh and Canned Mackerel Authentication. FOOD ANAL METHOD 2023; 16:426-435. [PMID: 36530851 PMCID: PMC9734502 DOI: 10.1007/s12161-022-02429-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Accepted: 11/28/2022] [Indexed: 12/12/2022]
Abstract
Nowadays, food authentication is more and more required given its relevance in terms of quality and safety. The seafood market is heavily affected by mislabelling and fraudulent substitutions/adulterations, especially for processed food products such as canned food items, due to the loss of morphological features. This study aims to develop new assays based on DNA to identify fresh mackerel (Scomber spp.) and commercial products. A new primer pair was de novo designed on the 5S rRNA gene and non-transcribed spacer (NTS), identifying a DNA mini-barcoding region suitable for species identification of processed commercial products. Moreover, to offer a fast and low-cost analysis, a new assay based on recombinase polymerase amplification (RPA) was developed for the identification of fresh 'Sgombro' (Scomber scombrus) and 'Lanzardo o Occhione' (Scomber japonicus and Scomber colias), coupled with the lateral flow visualisation for the most expensive species (Scomber scombrus) identification. This innovative portable assay has great potential for supply chain traceability in the seafood market. Graphical Abstract Supplementary Information The online version contains supplementary material available at 10.1007/s12161-022-02429-6.
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Affiliation(s)
- Jessica Frigerio
- FEM2-Ambiente, Piazza Della Scienza 2, I-20126 Milan, Italy
- Department of Biotechnology and Biosciences, University of Milano-Bicocca, FEM2-Ambiente, Piazza Della Scienza 2, I-20126 Milan, Italy
| | - Tommaso Gorini
- FEM2-Ambiente, Piazza Della Scienza 2, I-20126 Milan, Italy
| | - Cassandra Palumbo
- Department of Biotechnology and Biosciences, University of Milano-Bicocca, FEM2-Ambiente, Piazza Della Scienza 2, I-20126 Milan, Italy
| | | | - Massimo Labra
- Department of Biotechnology and Biosciences, University of Milano-Bicocca, FEM2-Ambiente, Piazza Della Scienza 2, I-20126 Milan, Italy
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Yin X, Xing R, Li Z, Hu B, Yang L, Deng R, Cao J, Chen Y. Real-time qPCR for the detection of puffer fish components from Lagocephalus in food: L. inermis, L. lagocephalus, L. gloveri, L. lunaris, and L. spadiceus. Front Nutr 2022; 9:1068767. [PMID: 36545464 PMCID: PMC9760932 DOI: 10.3389/fnut.2022.1068767] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Accepted: 11/21/2022] [Indexed: 12/11/2022] Open
Abstract
Puffer fish is a type of precious high-end aquatic product, is widely popular in Asia, especially in China and Japan, even though it naturally harbors a neurotoxin known as tetrodotoxin (TTX) that is poisonous to humans and causes food poisoning. With the increasing trade demand, which frequently exceeds existing supply capacities, fostering fraudulent practices, such as adulteration of processed products with non-certified farmed wild puffer fish species. To determine the authenticity of puffer fish processed food, we developed a real-time qPCR method to detect five common puffer fish species in aquatic products: Lagocephalus inermis, Lagocephalus lagocephalus, Lagocephalus gloveri, Lagocephalus lunaris, and Lagocephalus spadiceus. The specificity, cross-reactivity, detection limit, efficiency, and robustness of the primers and probes created for five species of puffer fish using TaqMan technology have been determined. No cross-reactivity was detected in the DNA of non-target sample materials, and no false-positive signal was detected; the aquatic products containing 0.1% of a small amount of wild puffer fish materials without certification can be reliably tracked; the statistical p-value for each method's Ct value was greater than 0.05. The developed qPCR method was sensitive, highly specific, robust, and reproducibility, which could be used to validate the authenticity of wild puffer fish in aquatic products sold for commercial purposes.
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Affiliation(s)
- Xinying Yin
- Key Laboratory of Biotechnology and Bioresources Utilization of Ministry of Education, Dalian Minzu University, Dalian, China
- Healthy Food Evaluation Research Center, College of Biomass Science and Engineering, Sichuan University, Chengdu, China
| | - Ranran Xing
- Chinese Academy of Inspection and Quarantine, Beijing, China
| | - Zhiru Li
- Key Laboratory of Biotechnology and Bioresources Utilization of Ministry of Education, Dalian Minzu University, Dalian, China
| | - Bing Hu
- Key Laboratory of Biotechnology and Bioresources Utilization of Ministry of Education, Dalian Minzu University, Dalian, China
| | - Lili Yang
- Key Laboratory of Biotechnology and Bioresources Utilization of Ministry of Education, Dalian Minzu University, Dalian, China
| | - Ruijie Deng
- Healthy Food Evaluation Research Center, College of Biomass Science and Engineering, Sichuan University, Chengdu, China
| | - Jijuan Cao
- Key Laboratory of Biotechnology and Bioresources Utilization of Ministry of Education, Dalian Minzu University, Dalian, China
| | - Ying Chen
- Chinese Academy of Inspection and Quarantine, Beijing, China
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14
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Nunes A, Zilto Azevedo G, Rocha dos Santos B, Vanz Borges C, Pace Pereira Lima G, Conte Crocoli L, Moura S, Maraschin M. Characterization of Brazilian floral honey produced in the states of Santa Catarina and São Paulo through ultraviolet–visible (UV–vis), near-infrared (NIR), and nuclear magnetic resonance (NMR) spectroscopy. Food Res Int 2022; 162:111913. [DOI: 10.1016/j.foodres.2022.111913] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Revised: 08/26/2022] [Accepted: 09/07/2022] [Indexed: 11/26/2022]
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15
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Bian X, Wu D, Zhang K, Liu P, Shi H, Tan X, Wang Z. Variational Mode Decomposition Weighted Multiscale Support Vector Regression for Spectral Determination of Rapeseed Oil and Rhizoma Alpiniae Offcinarum Adulterants. BIOSENSORS 2022; 12:bios12080586. [PMID: 36004982 PMCID: PMC9406014 DOI: 10.3390/bios12080586] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/09/2022] [Revised: 07/26/2022] [Accepted: 07/27/2022] [Indexed: 11/16/2022]
Abstract
The accurate prediction of the model is essential for food and herb analysis. In order to exploit the abundance of information embedded in the frequency and time domains, a weighted multiscale support vector regression (SVR) method based on variational mode decomposition (VMD), namely VMD-WMSVR, was proposed for the ultraviolet-visible (UV-Vis) spectral determination of rapeseed oil adulterants and near-infrared (NIR) spectral quantification of rhizoma alpiniae offcinarum adulterants. In this method, each spectrum is decomposed into K discrete mode components by VMD first. The mode matrix Uk is recombined from the decomposed components, and then, the SVR is used to build sub-models between each Uk and target value. The final prediction is obtained by integrating the predictions of the sub-models by weighted average. The performance of the proposed method was tested with two spectral datasets of adulterated vegetable oils and herbs. Compared with the results from partial least squares (PLS) and SVR, VMD-WMSVR shows potential in model accuracy.
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Affiliation(s)
- Xihui Bian
- State Key Laboratory of Separation Membranes and Membrane Processes, School of Chemical Engineering and Technology, Tiangong University, Tianjin 300387, China; (D.W.); (K.Z.); (P.L.); (X.T.); (Z.W.)
- State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining 810016, China
- Shandong Provincial Key Laboratory of Olefin Catalysis and Polymerization, Shandong Chambroad Holding Group Co., Ltd., Binzhou 256500, China;
- Correspondence:
| | - Deyun Wu
- State Key Laboratory of Separation Membranes and Membrane Processes, School of Chemical Engineering and Technology, Tiangong University, Tianjin 300387, China; (D.W.); (K.Z.); (P.L.); (X.T.); (Z.W.)
| | - Kui Zhang
- State Key Laboratory of Separation Membranes and Membrane Processes, School of Chemical Engineering and Technology, Tiangong University, Tianjin 300387, China; (D.W.); (K.Z.); (P.L.); (X.T.); (Z.W.)
| | - Peng Liu
- State Key Laboratory of Separation Membranes and Membrane Processes, School of Chemical Engineering and Technology, Tiangong University, Tianjin 300387, China; (D.W.); (K.Z.); (P.L.); (X.T.); (Z.W.)
| | - Huibing Shi
- Shandong Provincial Key Laboratory of Olefin Catalysis and Polymerization, Shandong Chambroad Holding Group Co., Ltd., Binzhou 256500, China;
| | - Xiaoyao Tan
- State Key Laboratory of Separation Membranes and Membrane Processes, School of Chemical Engineering and Technology, Tiangong University, Tianjin 300387, China; (D.W.); (K.Z.); (P.L.); (X.T.); (Z.W.)
| | - Zhigang Wang
- State Key Laboratory of Separation Membranes and Membrane Processes, School of Chemical Engineering and Technology, Tiangong University, Tianjin 300387, China; (D.W.); (K.Z.); (P.L.); (X.T.); (Z.W.)
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16
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Zhu L, Ma Q, Chen J, Zhao G. Current progress on innovative pest detection techniques for stored cereal grains and thereof powders. Food Chem 2022; 396:133706. [PMID: 35868281 DOI: 10.1016/j.foodchem.2022.133706] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2022] [Revised: 07/10/2022] [Accepted: 07/12/2022] [Indexed: 12/12/2022]
Abstract
For stored grains and their powders, pest infestation has always been a knotty problem and thus comprises a serious threat to global food security. Obviously, timely, rapid and accurate pest detection methods are of extreme importance to protect grains from pest mouth. In facing the defects of traditional methods, such as visual inspection, grain flotation and pest trap, diverse innovative approaches progressed fast alternatively, either targeting pest itself or diagnosing pest-induced changes. The former includes machine vision, metabolite analysis, pest-specific protein techniques, molecular techniques, bioacoustics analysis, conductive roller mill, low-field nuclear magnetic resonance spectroscopy and imaging, while the latter consists of thermal imaging, near-infrared spectroscopy and hyperspectral imaging, impact acoustics analysis, soft X-ray imaging and tomography. The principle, operation procedure, pros and cons and application scenarios were discussed for each method. The results herein hope to promote the technical revolution of pest inspection in stored cereal grains and their powders.
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Affiliation(s)
- Lijun Zhu
- College of Food Science, Southwest University, Chongqing 400715, People's Republic of China
| | - Qian Ma
- College of Food Science, Southwest University, Chongqing 400715, People's Republic of China
| | - Jia Chen
- College of Food Science, Southwest University, Chongqing 400715, People's Republic of China
| | - Guohua Zhao
- College of Food Science, Southwest University, Chongqing 400715, People's Republic of China; Chongqing Key Laboratory of Speciality Food Co-Built by Sichuan and Chongqing, Chongqing 400715, People's Republic of China.
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17
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A Review and Classification Framework of Traceability Approaches for Identifying Product Supply Chain Counterfeiting. SUSTAINABILITY 2022. [DOI: 10.3390/su14116666] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Counterfeiting is found today in many industries and in various forms with severe consequences for supply chain operations. Products counterfeiting can be detected in consumer goods such as clothing, food and beverages, accessories, pharmaceuticals, electronics, and luxury goods. The continuous violations in the supply chain have led to the need for mobilization of all involved stakeholders to overcome counterfeiting challenges. Effective traceability seems to be the only way to combat this phenomenon, ensuring safe and sustainable supply chain operations. This paper presents a structured literature review on traceability approaches for combatting the product supply chain counterfeiting phenomenon that led to forming a structured classification framework. The performed analysis aims to identify trends and good practices and can be used as a guideline for real-life projects against supply chain counterfeiting. The results show that traditional traceability methods are not effective as they can be easily falsified using today’s technological advancements. However, these same advancements also present valuable technologies such as blockchain and the internet of things to ensure safe and sustainable supply chain operations.
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18
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Pappalardo AM, Giuga M, Raffa A, Nania M, Rossitto L, Calogero GS, Ferrito V. COIBar-RFLP Molecular Strategy Discriminates Species and Unveils Commercial Frauds in Fishery Products. Foods 2022; 11:foods11111569. [PMID: 35681319 PMCID: PMC9180250 DOI: 10.3390/foods11111569] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Revised: 05/20/2022] [Accepted: 05/24/2022] [Indexed: 12/03/2022] Open
Abstract
The DNA analysis is the best approach to authenticate species in seafood products and to unveil frauds based on species substitution. In this study, a molecular strategy coupling Cytochrome Oxidase I (COI) DNA barcoding with the consolidated methodology of Restriction Fragment Length Polymorphisms (RFLPs), named COIBar-RFLP, was applied for searching pattern of restriction enzyme digestion, useful to discriminate seven different fish species (juveniles of Engraulis encrasicolus and Sardina pilchardus sold in Italy as “bianchetto” and Aphia minuta sold as “rossetto”; icefish Neosalanx tangkahkeii; European perch, Perca fluviatilis and the Nile Perch, Lates niloticus; striped catfish, Pangasianodon hypophthalmus). A total of 30 fresh and frozen samples were processed for DNA barcoding, analyzed against a barcode library of COI sequences retrieved from GenBank, and validated for COIBar–RFLP analysis. Cases of misdescription were detected: 3 samples labeled as “bianchetto” were substituted by N. tangkahkeii (2 samples) and A. minuta (1 sample); 3 samples labeled as “persico reale” (P. fluviatilis) were substituted by L. niloticus and P. hypophthalmus. All species were simultaneously discriminated through the restriction pattern obtained with MspI enzyme. The results highlighted that the COIBar-RFLP could be an effective tool to authenticate fish in seafood products by responding to the emerging interest in molecular identification technologies.
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Affiliation(s)
- Anna Maria Pappalardo
- Department of Biological, Geological and Environmental Sciences, Section of Animal Biology “M. La Greca”, University of Catania, Via Androne 81, 95124 Catania, Italy; (A.M.P.); (M.G.); (A.R.); (M.N.); (L.R.); (G.S.C.)
| | - Marta Giuga
- Department of Biological, Geological and Environmental Sciences, Section of Animal Biology “M. La Greca”, University of Catania, Via Androne 81, 95124 Catania, Italy; (A.M.P.); (M.G.); (A.R.); (M.N.); (L.R.); (G.S.C.)
- Institute for the Study of Antropic Impact and Sustainability in the Marine Environment, IAS-CNR, 91021 Trapani, Italy
| | - Alessandra Raffa
- Department of Biological, Geological and Environmental Sciences, Section of Animal Biology “M. La Greca”, University of Catania, Via Androne 81, 95124 Catania, Italy; (A.M.P.); (M.G.); (A.R.); (M.N.); (L.R.); (G.S.C.)
| | - Marco Nania
- Department of Biological, Geological and Environmental Sciences, Section of Animal Biology “M. La Greca”, University of Catania, Via Androne 81, 95124 Catania, Italy; (A.M.P.); (M.G.); (A.R.); (M.N.); (L.R.); (G.S.C.)
| | - Luana Rossitto
- Department of Biological, Geological and Environmental Sciences, Section of Animal Biology “M. La Greca”, University of Catania, Via Androne 81, 95124 Catania, Italy; (A.M.P.); (M.G.); (A.R.); (M.N.); (L.R.); (G.S.C.)
| | - Giada Santa Calogero
- Department of Biological, Geological and Environmental Sciences, Section of Animal Biology “M. La Greca”, University of Catania, Via Androne 81, 95124 Catania, Italy; (A.M.P.); (M.G.); (A.R.); (M.N.); (L.R.); (G.S.C.)
| | - Venera Ferrito
- Department of Biological, Geological and Environmental Sciences, Section of Animal Biology “M. La Greca”, University of Catania, Via Androne 81, 95124 Catania, Italy; (A.M.P.); (M.G.); (A.R.); (M.N.); (L.R.); (G.S.C.)
- Correspondence: ; Tel.: +39-095-730-6030
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19
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Kumar P, Rani A, Singh S, Kumar A. Recent advances on
DNA
and omics‐based technology in Food testing and authentication: A review. J Food Saf 2022. [DOI: 10.1111/jfs.12986] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Affiliation(s)
- Pramod Kumar
- National Institute of Cancer Prevention and Research Indian Council for Medical Research (ICMR‐NICPR) Noida India
| | - Alka Rani
- National Institute of Cancer Prevention and Research Indian Council for Medical Research (ICMR‐NICPR) Noida India
| | - Shalini Singh
- National Institute of Cancer Prevention and Research Indian Council for Medical Research (ICMR‐NICPR) Noida India
| | - Anuj Kumar
- National Institute of Cancer Prevention and Research Indian Council for Medical Research (ICMR‐NICPR) Noida India
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20
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Dobrovolny S, Uhlig S, Frost K, Schlierf A, Nichani K, Simon K, Cichna-Markl M, Hochegger R. Interlaboratory Validation of a DNA Metabarcoding Assay for Mammalian and Poultry Species to Detect Food Adulteration. Foods 2022; 11:foods11081108. [PMID: 35454695 PMCID: PMC9027865 DOI: 10.3390/foods11081108] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2022] [Revised: 04/05/2022] [Accepted: 04/08/2022] [Indexed: 02/01/2023] Open
Abstract
Meat species authentication in food is most commonly based on the detection of genetic variations. Official food control laboratories frequently apply single and multiplex real-time polymerase chain reaction (PCR) assays and/or DNA arrays. However, in the near future, DNA metabarcoding, the generation of PCR products for DNA barcodes, followed by massively parallel sequencing by next generation sequencing (NGS) technologies, could be an attractive alternative. DNA metabarcoding is superior to well-established methodologies since it allows simultaneous identification of a wide variety of species not only in individual foodstuffs but even in complex mixtures. We have recently published a DNA metabarcoding assay for the identification and differentiation of 15 mammalian species and six poultry species. With the aim to harmonize analytical methods for food authentication across EU Member States, the DNA metabarcoding assay has been tested in an interlaboratory ring trial including 15 laboratories. Each laboratory analyzed 16 anonymously labelled samples (eight samples, two subsamples each), comprising six DNA extract mixtures, one DNA extract from a model sausage, and one DNA extract from maize (negative control). Evaluation of data on repeatability, reproducibility, robustness, and measurement uncertainty indicated that the DNA metabarcoding method is applicable for meat species authentication in routine analysis.
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Affiliation(s)
- Stefanie Dobrovolny
- Austrian Agency for Health and Food Safety (AGES), Department for Molecular Biology and Microbiology, Institute for Food Safety Vienna, Spargelfeldstrasse 191, 1220 Vienna, Austria;
| | - Steffen Uhlig
- QuoData GmbH, Prellerstrasse 14, 01309 Dresden, Germany; (S.U.); (K.F.); (A.S.); (K.N.); (K.S.)
| | - Kirstin Frost
- QuoData GmbH, Prellerstrasse 14, 01309 Dresden, Germany; (S.U.); (K.F.); (A.S.); (K.N.); (K.S.)
| | - Anja Schlierf
- QuoData GmbH, Prellerstrasse 14, 01309 Dresden, Germany; (S.U.); (K.F.); (A.S.); (K.N.); (K.S.)
| | - Kapil Nichani
- QuoData GmbH, Prellerstrasse 14, 01309 Dresden, Germany; (S.U.); (K.F.); (A.S.); (K.N.); (K.S.)
| | - Kirsten Simon
- QuoData GmbH, Prellerstrasse 14, 01309 Dresden, Germany; (S.U.); (K.F.); (A.S.); (K.N.); (K.S.)
| | - Margit Cichna-Markl
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Währinger Strasse 38, 1090 Vienna, Austria
- Correspondence: (M.C.-M.); (R.H.)
| | - Rupert Hochegger
- Austrian Agency for Health and Food Safety (AGES), Department for Molecular Biology and Microbiology, Institute for Food Safety Vienna, Spargelfeldstrasse 191, 1220 Vienna, Austria;
- Correspondence: (M.C.-M.); (R.H.)
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21
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Food forensics: techniques for authenticity determination of food products. Forensic Sci Int 2022; 333:111243. [DOI: 10.1016/j.forsciint.2022.111243] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 02/23/2022] [Accepted: 02/24/2022] [Indexed: 12/21/2022]
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22
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Nazar N, Howard C, Slater A, Sgamma T. Challenges in Medicinal and Aromatic Plants DNA Barcoding-Lessons from the Lamiaceae. PLANTS (BASEL, SWITZERLAND) 2022; 11:137. [PMID: 35009140 PMCID: PMC8747715 DOI: 10.3390/plants11010137] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Revised: 12/26/2021] [Accepted: 12/27/2021] [Indexed: 06/14/2023]
Abstract
The potential value of DNA barcoding for the identification of medicinal plants and authentication of traded plant materials has been widely recognized; however, a number of challenges remain before DNA methods are fully accepted as an essential quality control method by industry and regulatory authorities. The successes and limitations of conventional DNA barcoding are considered in relation to important members of the Lamiaceae. The mint family (Lamiaceae) contains over one thousand species recorded as having a medicinal use, with many more exploited in food and cosmetics for their aromatic properties. The family is characterized by a diversity of secondary products, most notably the essential oils (EOs) produced in external glandular structures on the aerial parts of the plant that typify well-known plants of the basil (Ocimum), lavender (Lavandula), mint (Mentha), thyme (Thymus), sage (Salvia) and related genera. This complex, species-rich family includes widely cultivated commercial hybrids and endangered wild-harvested traditional medicines, and examples of potential toxic adulterants within the family are explored in detail. The opportunities provided by next generation sequencing technologies to whole plastome barcoding and nuclear genome sequencing are also discussed with relevant examples.
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Affiliation(s)
- Nazia Nazar
- Biomolecular Technology Group, Leicester School of Allied Health Science, Faculty of Health and Life Sciences, De Montfort University, Leicester LE1 9BH, UK;
| | - Caroline Howard
- Tree of Life Programme, Wellcome Trust Sanger Institute, Wellcome Genome Campus, Cambridge CB10 1SA, UK;
| | - Adrian Slater
- Biomolecular Technology Group, Leicester School of Allied Health Science, Faculty of Health and Life Sciences, De Montfort University, Leicester LE1 9BH, UK;
| | - Tiziana Sgamma
- Biomolecular Technology Group, Leicester School of Allied Health Science, Faculty of Health and Life Sciences, De Montfort University, Leicester LE1 9BH, UK;
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23
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Bhat R. Emerging trends and sustainability challenges in the global agri-food sector. FUTURE FOODS 2022. [DOI: 10.1016/b978-0-323-91001-9.00041-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
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24
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A Review on Application of DNA Barcoding Technology for Rapid Molecular Diagnostics of Adulterants in Herbal Medicine. Drug Saf 2021; 45:193-213. [PMID: 34846701 DOI: 10.1007/s40264-021-01133-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/21/2021] [Indexed: 10/19/2022]
Abstract
The rapid molecular diagnostics of adulterants in herbal medicine using DNA barcoding forms the core of this meticulously detailed review, based on two decades of data. With 80% of the world's population using some form of herbal medicine, authentication, quality control, and detection of adulterants warrant DNA barcoding. A combined group of keywords were used for literature review using the PubMed, the ISI Web of Knowledge, Web of Science (WoS), and Google Scholar databases. All the papers (N = 210) returned by the search engines were downloaded and systematically analyzed. Detailed analysis of conventional DNA barcodes were based on retrieved sequences for internal transcribed spacer (ITS) (412,189), rbcL (251,598), matK (210,835), and trnH-psbA (141,846). The utility of databases such as The Barcode of Life Data System (BOLD), NCBI, GenBank, and Medicinal Materials DNA Barcode Database (MMDBD) has been critically examined for the identification of unknown species from known databases. The current review gives an overview of the ratio of adulterated to authentic drugs for some countries along with the state of the art technology currently being used in the identification of adulterated medicines. In this review, efforts were made to systematically analyze and arrange the research and reviews on the basis of technical progress. The review concludes with the future of DNA-based herbal medicine adulteration detection, forecasting the reliance on the metabarcoding technology. DNA barcoding technology for differentiating adulterated herbal medicine.
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25
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Identification of Mammalian and Poultry Species in Food and Pet Food Samples Using 16S rDNA Metabarcoding. Foods 2021; 10:foods10112875. [PMID: 34829156 PMCID: PMC8620145 DOI: 10.3390/foods10112875] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Revised: 11/12/2021] [Accepted: 11/15/2021] [Indexed: 12/14/2022] Open
Abstract
The substitution of more appreciated animal species by animal species of lower commercial value is a common type of meat product adulteration. DNA metabarcoding, the combination of DNA barcoding with next-generation sequencing (NGS), plays an increasing role in food authentication. In the present study, we investigated the applicability of a DNA metabarcoding method for routine analysis of mammalian and poultry species in food and pet food products. We analyzed a total of 104 samples (25 reference samples, 56 food products and 23 pet food products) by DNA metabarcoding and by using a commercial DNA array and/or by real-time PCR. The qualitative and quantitative results obtained by the DNA metabarcoding method were in line with those obtained by PCR. Results from the independent analysis of a subset of seven reference samples in two laboratories demonstrate the robustness and reproducibility of the DNA metabarcoding method. DNA metabarcoding is particularly suitable for detecting unexpected species ignored by targeted methods such as real-time PCR and can also be an attractive alternative with respect to the expenses as indicated by current data from the cost accounting of the AGES laboratory. Our results for the commercial samples show that in addition to food products, DNA metabarcoding is particularly applicable to pet food products, which frequently contain multiple animal species and are also highly prone to adulteration as indicated by the high portion of analyzed pet food products containing undeclared species.
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26
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Li H, Feng J, Wang Y, Liu G, Chen X, Fu L. Instant and Multiple DNA Extraction Method by Microneedle Patch for Rapid and on-Site Detection of Food Allergen-Encoding Genes. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2021; 69:6879-6887. [PMID: 34105975 DOI: 10.1021/acs.jafc.1c01077] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
DNA-based detection methods are highly promising for risk assessment in the food sector, such as tracing the existence of food allergens. However, due to the complexity of food matrices, cumbersome protocols are often needed to isolate the DNA components, which hinder the achievement of rapid and on-site detection. Herein, an instant and multiple DNA extraction method was developed based on the poly(vinyl alcohol) microneedle (MN) patch. With simple press and peel-off operations within 1 min, samples suitable for DNA-based analysis such as polymerase chain reaction (PCR) could be collected. By further combining with the recombinase polymerase amplification assay, rapid screening of the allergenic risks in complex samples such as shrimp ball and cheesecake could be achieved within 30 min. The MN-based DNA extraction method not only was a potential alternative to the traditional DNA extraction method but provided a transformative approach in realizing rapid, on-site detection of foodborne hazards in collaborating with fast DNA-based assays.
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Affiliation(s)
- Huan Li
- Food Safety Key Laboratory of Zhejiang Province, School of Food Science and Biotechnology, Zhejiang Gongshang University, Hangzhou 310018, P. R. China
| | - Jiesi Feng
- Food Safety Key Laboratory of Zhejiang Province, School of Food Science and Biotechnology, Zhejiang Gongshang University, Hangzhou 310018, P. R. China
| | - Yanbo Wang
- Food Safety Key Laboratory of Zhejiang Province, School of Food Science and Biotechnology, Zhejiang Gongshang University, Hangzhou 310018, P. R. China
| | - Guangming Liu
- College of Food and Biological Engineering, Fujian Collaborative Innovation Center for Exploitation and Utilization of Marine Biological Resources, Jimei University, Xiamen 361021, P. R. China
| | - Xiaojing Chen
- College of Electrical and Electronic Engineering, Wenzhou University, Wenzhou 325035, P. R. China
| | - Linglin Fu
- Food Safety Key Laboratory of Zhejiang Province, School of Food Science and Biotechnology, Zhejiang Gongshang University, Hangzhou 310018, P. R. China
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