1
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Wen Y, Huang S, Lei H, Li X, Shen X. A Dual and Rapid RPA-CRISPR/Cas12a Method for Simultaneous Detection of Cattle and Soybean-Derived Adulteration in Goat Milk Powder. Foods 2024; 13:1637. [PMID: 38890866 PMCID: PMC11172236 DOI: 10.3390/foods13111637] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2024] [Revised: 05/15/2024] [Accepted: 05/17/2024] [Indexed: 06/20/2024] Open
Abstract
The adulteration of goat milk powder occurs frequently; cattle-derived and soybean-derived ingredients are common adulterants in goat milk powder. However, simultaneously and rapidly detecting cattle-derived and soybean-derived components is still a challenge. An efficient, high-throughput screening method for adulteration detection is needed. In this study, a rapid method was developed to detect the adulteration of common cattle-derived and soybean-derived components simultaneously in goat milk powder by combining the CRISPR/Cas12a system with recombinant polymerase amplification (RPA). A dual DNA extraction method was employed. Primers and crRNA for dual detection were designed and screened, and a series of condition optimizations were carried out in this experiment. The optimized assay rapidly detected cattle-derived and soybean-derived components in 40 min. The detection limits of both cattle-derived and soybean-derived components were 1% (w/w) for the mixed adulteration models. The established method was applied to a blind survey of 55 commercially available goat milk powder products. The results revealed that 36.36% of the samples contained cattle-derived or soybean-derived ingredients, which revealed the noticeable adulteration situation in the goat milk powder market. This study realized a fast flow of dual extraction, dual amplification, and dual detection of cattle-derived and soybean-derived components in goat milk powder for the first time. The method developed can be used for high-throughput and high-efficiency on-site primary screening of goat milk powder adulterants, and provides a technical reference for combating food adulteration.
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Affiliation(s)
| | | | | | | | - Xing Shen
- Guangdong Provincial Key Laboratory of Food Quality and Safety, College of Food Science, South China Agricultural University, Guangzhou 510642, China; (Y.W.); (S.H.); (H.L.); (X.L.)
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2
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Kourkouli A, Thomaidis N, Dasenaki M, Markou A. Novel and Sensitive Touchdown Polymerase Chain Reaction Assays for the Detection of Goat and Sheep Milk Adulteration with Cow Milk. Molecules 2024; 29:1820. [PMID: 38675639 PMCID: PMC11052330 DOI: 10.3390/molecules29081820] [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: 03/20/2024] [Revised: 04/04/2024] [Accepted: 04/12/2024] [Indexed: 04/28/2024] Open
Abstract
Milk is the most consumed liquid food in the world due to its high nutritional value and relatively low cost, characteristics that make it vulnerable to adulteration. One of the most common types of milk adulteration involves the undeclared addition of cow's milk to milk from other mammalian species, such as goats, sheep, buffalo or donkeys. The incidence of such adulteration not only causes a crisis in terms of commercial market and consumer uncertainty but also poses a risk to public health, as allergies can be triggered by proteins in undeclared cow's milk. In this study, a specific qualitative touchdown (TD) PCR method was developed to detect the undeclared addition of cow's milk in goat and sheep milk based on the discrimination of the peak areas of the melting curves after the modification of bovine-specific primers. The developed methodology has high specificity for the DNA templates of other species, such as buffalos and donkeys, and is able to identify the presence of cow's milk down to 1%. Repeatability was tested at low bovine concentrations of 5% and 1% and resulted in %RSD values of 1.53-2.04 for the goat-cow assay and 2.49-7.16 for the sheep-cow assay, respectively. The application of this method to commercial goat milk samples indicated a high percentage of noncompliance in terms of labeling (50%), while a comparison of the results to rapid immunochromatographic and ELISA kits validated the excellent sensitivity and applicability of the proposed PCR methodology that was able to trace more adulterated samples. The developed assays offer the advantage of multiple detection in a single run, resulting in a cost- and time-efficient method. Future studies will focus on the applicability of these assays in dairy products such as cheese and yogurt.
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Affiliation(s)
- Ariadni Kourkouli
- Laboratory of Analytical Chemistry, Department of Chemistry, National and Kapodistrian University of Athens, 15771 Athens, Greece; (A.K.); (N.T.)
| | - Nikolaos Thomaidis
- Laboratory of Analytical Chemistry, Department of Chemistry, National and Kapodistrian University of Athens, 15771 Athens, Greece; (A.K.); (N.T.)
| | - Marilena Dasenaki
- Laboratory of Food Chemistry, Department of Chemistry, National and Kapodistrian University of Athens, 15771 Athens, Greece
| | - Athina Markou
- Laboratory of Analytical Chemistry, Department of Chemistry, National and Kapodistrian University of Athens, 15771 Athens, Greece; (A.K.); (N.T.)
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3
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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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4
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Huang S, Liu Y, Zhang X, Gai Z, Lei H, Shen X. A Rapid RPA-CRISPR/Cas12a Detection Method for Adulteration of Goat Milk Powder. Foods 2023; 12:foods12081569. [PMID: 37107364 PMCID: PMC10137891 DOI: 10.3390/foods12081569] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 03/14/2023] [Accepted: 03/24/2023] [Indexed: 04/29/2023] Open
Abstract
Because of the serious adulteration of goat milk, the rapid on-site detection of goat milk powder adulteration is needed. In this study, the CRISPR/Cas12a detection system combined with recombinase polymerase amplification (RPA) was employed to qualitatively detect the adulteration of goat milk powder with cattle-derived components. Specific primers and crRNA were designed and screened. After the optimization of RPA and the Cas system, the RPA-CRISPR/Cas12a detection method was established. The detection can complete the rapid identification of cattle-derived components in 45 min, without the assistant of large equipment. The absolute detectability of the RPA-CRISPR/Cas12a assay could reach 10-2 ng/μL for cattle genomic DNA, and 1% (w/w) for cattle milk powder, which is suitable to meet the testing requirements for on-site detection. In total, 55 commercial goat milk powder products were collected for blind testing. The results showed that 27.3% of the samples were adulterated with cattle ingredients, revealing a serious adulteration situation in goat milk powder market. The RPA-CRISPR/Cas12a assay established in this research exhibited its potential for practical use of on-site detection to detect cow milk powder in goat milk powder and can provide reliable technical reference for combating food fraud of adulteration of goat milk products.
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Affiliation(s)
- Shuqin Huang
- Guangdong Provincial Key Laboratory of Food Quality and Safety/National-Local Joint Engineering Research Center for Machining and Safety of Livestock and Poultry Products, South China Agricultural University, Guangzhou 510642, China
| | - Yan Liu
- Guangdong Provincial Key Laboratory of Food Quality and Safety/National-Local Joint Engineering Research Center for Machining and Safety of Livestock and Poultry Products, South China Agricultural University, Guangzhou 510642, China
| | - Xu Zhang
- Guangzhou Editgene Co., Ltd., Guangzhou 510630, China
| | - Zuoqi Gai
- Guangzhou Editgene Co., Ltd., Guangzhou 510630, China
| | - Hongtao Lei
- Guangdong Provincial Key Laboratory of Food Quality and Safety/National-Local Joint Engineering Research Center for Machining and Safety of Livestock and Poultry Products, South China Agricultural University, Guangzhou 510642, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510642, China
| | - Xing Shen
- Guangdong Provincial Key Laboratory of Food Quality and Safety/National-Local Joint Engineering Research Center for Machining and Safety of Livestock and Poultry Products, South China Agricultural University, Guangzhou 510642, China
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5
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A comprehensive overview of emerging techniques and chemometrics for authenticity and traceability of animal-derived food. Food Chem 2023; 402:134216. [DOI: 10.1016/j.foodchem.2022.134216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Revised: 08/21/2022] [Accepted: 09/09/2022] [Indexed: 11/17/2022]
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6
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Li W, Huang W, Fan D, Gao X, Zhang X, Meng Y, Liu TCY. Rapid quantification of goat milk adulteration with cow milk using Raman spectroscopy and chemometrics. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2023; 15:455-461. [PMID: 36602089 DOI: 10.1039/d2ay01697d] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
As goat milk has a higher economic value compared to cow milk, the phenomenon of adulterating goat milk with cow milk appears in the market. In this study, the potential of Raman spectroscopy along with chemometrics was investigated for the authentication and quantitation of liquid goat milk adulterated with cow milk. First, the results of principal component analysis (PCA) showed that there were differences between the Raman spectra of cow and goat milk, which made quantitative experiments possible. For quantification, three different brands of cow milk and goat milk were selected randomly and adulterated goat milk with cow milk at the proportion of 5-95%. 342 samples were used for the construction of the partial least squares regression (PLSR) model with 80% for the calibration set and 20% for the prediction set. The PLSR model showed excellent performance in quantifying the level of adulteration, for the prediction set, with a coefficient of determination (R2) of 0.9781, root mean square error (RMSE) of 3.82%, and a ratio of prediction to deviation (RPD) of 6.8. The results demonstrated the potential of Raman spectroscopy as a rapid, low cost and non-destructive analytical tool for detecting adulteration in goat milk.
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Affiliation(s)
- Wangfang Li
- MOE Key Laboratory of Laser Life Science & Laboratory of Photonic Chinese Medicine, College of Biophotonics, South China Normal University, Guangzhou 510631, China.
| | - Wei Huang
- MOE Key Laboratory of Laser Life Science & Laboratory of Photonic Chinese Medicine, College of Biophotonics, South China Normal University, Guangzhou 510631, China.
| | - Desheng Fan
- MOE Key Laboratory of Laser Life Science & Laboratory of Photonic Chinese Medicine, College of Biophotonics, South China Normal University, Guangzhou 510631, China.
| | - Xuhui Gao
- MOE Key Laboratory of Laser Life Science & Laboratory of Photonic Chinese Medicine, College of Biophotonics, South China Normal University, Guangzhou 510631, China.
| | - Xian Zhang
- MOE Key Laboratory of Laser Life Science & Laboratory of Photonic Chinese Medicine, College of Biophotonics, South China Normal University, Guangzhou 510631, China.
| | - Yaoyong Meng
- MOE Key Laboratory of Laser Life Science & Laboratory of Photonic Chinese Medicine, College of Biophotonics, South China Normal University, Guangzhou 510631, China.
- Analysis and Testing Center, South China Normal University, Guangzhou 510631, China
| | - Timon Cheng-Yi Liu
- 3Laboratory of Laser Sports Medicine, South China Normal University, Guangzhou 510631, China
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7
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The Application of Untargeted Metabolomics Using UHPLC-HRMS and Chemometrics for Authentication of Horse Milk Adulterated with Cow Milk. FOOD ANAL METHOD 2022. [DOI: 10.1007/s12161-022-02426-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
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8
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He Y, Zeng W, Zhao Y, Zhu X, Wan H, Zhang M, Li Z. Rapid detection of adulteration of goat milk and goat infant formulas using near-infrared spectroscopy fingerprints. Int Dairy J 2022. [DOI: 10.1016/j.idairyj.2022.105536] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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9
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Goat milk authentication by one-class classification of digital image-based fingerprint signatures: Detection of adulteration with cow milk. Microchem J 2022. [DOI: 10.1016/j.microc.2022.107640] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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10
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Development of an optical immunoassay based on peroxidase-mimicking Prussian blue nanoparticles and a label-free electrochemical immunosensor for accurate and sensitive quantification of milk species adulteration. Mikrochim Acta 2022; 189:209. [PMID: 35501410 DOI: 10.1007/s00604-022-05302-9] [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: 11/28/2021] [Accepted: 03/30/2022] [Indexed: 10/18/2022]
Abstract
In contrast to reported enzyme-based immunoassays, an enzyme-free immunoassay (optical and electrochemical) is presented here for the first time that can be used as point-of-need detection bioplatforms of bovine IgG as goat milk adulterant. In the first format, Prussian blue nanoparticles (PBNPs) were used as antibody catalytic labels in a competitive colorimetric microplate immunoassay. Absorbance measurement was performed photometrically at 450 nm. After in-depth optimization, excellent sensitivity was achieved (0.01% cow/goat volume ratio), which is 100 times lower than the limit allowed by the European legislation (EL) (1% v/v), thanks to the high catalytic activity of PBNPs compared with natural peroxidase. Moreover, the antibody-PBNPs bioconjugates showed excellent stability over 4 weeks (> 94% of the initial response) confirming the successful anchoring of the antibodies to the surface of the PBNPs. On the other hand, a label-free voltammetric immunoassay for the detection of bovine IgG was developed. The sensing principle was based on the hindrance of charge transfer between ferri-ferrocyanide redox couple and the screen-printed gold electrodes modified with bovine IgG antibody. Cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS) were used to characterize the step-by-step modification of the electrode surface. Under optimal conditions, this single-step electrochemical analysis achieved a high sensitivity of 0.1% (cow/goat) when monitoring the ferrocyanide oxidation at + 0.092 V (vs. Ag/AgCl) using differential pulse voltammetry (DPV). The selectivity of the developed immunoassays was evaluated for different species of milk of similar composition, and both immunoassays exhibited a selective response only to bovine IgG. Unlike conventional immunoassays, the developed enzyme-free immunoassays have many attractive features for the detection of milk adulteration, whether they are used in quality control laboratories for routine milk analysis (optical immunoassay) or at on-site checkpoints (electrochemical immunoassay) using wireless electrochemical detectors. The sensors provide high sensitivity (≤ 0.1%), excellent precision (RSD < 6%), low cost (no enzyme is required) and ease of operation, including handling of milk samples.
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11
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Mafra I, Honrado M, Amaral JS. Animal Species Authentication in Dairy Products. Foods 2022; 11:foods11081124. [PMID: 35454711 PMCID: PMC9027536 DOI: 10.3390/foods11081124] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Revised: 04/06/2022] [Accepted: 04/11/2022] [Indexed: 02/01/2023] Open
Abstract
Milk is one of the most important nutritious foods, widely consumed worldwide, either in its natural form or via dairy products. Currently, several economic, health and ethical issues emphasize the need for a more frequent and rigorous quality control of dairy products and the importance of detecting adulterations in these products. For this reason, several conventional and advanced techniques have been proposed, aiming at detecting and quantifying eventual adulterations, preferentially in a rapid, cost-effective, easy to implement, sensitive and specific way. They have relied mostly on electrophoretic, chromatographic and immunoenzymatic techniques. More recently, mass spectrometry, spectroscopic methods (near infrared (NIR), mid infrared (MIR), nuclear magnetic resonance (NMR) and front face fluorescence coupled to chemometrics), DNA analysis (real-time PCR, high-resolution melting analysis, next generation sequencing and droplet digital PCR) and biosensors have been advanced as innovative tools for dairy product authentication. Milk substitution from high-valued species with lower-cost bovine milk is one of the most frequent adulteration practices. Therefore, this review intends to describe the most relevant developments regarding the current and advanced analytical methodologies applied to species authentication of milk and dairy products.
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Affiliation(s)
- Isabel Mafra
- REQUIMTE-LAQV, Faculdade de Farmácia, Universidade do Porto, 4050-313 Porto, Portugal
- Correspondence: (I.M.); (J.S.A.)
| | - Mónica Honrado
- CIMO, Instituto Politécnico de Bragança, 5300-253 Bragança, Portugal;
| | - Joana S. Amaral
- CIMO, Instituto Politécnico de Bragança, 5300-253 Bragança, Portugal;
- Correspondence: (I.M.); (J.S.A.)
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12
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Wajahat W, Azad ZRAA, Nazir S, Nasir G. Real Time-PCR coupled with melt curve analysis for detecting the authenticity of camel milk. JOURNAL OF FOOD SCIENCE AND TECHNOLOGY 2022; 59:1538-1548. [PMID: 35250077 PMCID: PMC8882745 DOI: 10.1007/s13197-021-05164-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Revised: 05/21/2021] [Accepted: 05/28/2021] [Indexed: 01/03/2023]
Abstract
The study evaluated the use of Real Time-Polymerase Chain Reaction (RT- PCR) to detect the adulteration of camel milk with goat, cow milk. DNA was isolated from camel milk, camel milk powder, camel milk soap, cow milk, and goat milk using DNA extraction kit. RT- PCR amplified a single piece of DNA into millions of copies. The camel specific primers were designed using the primer- 3 online software and quantification of the isolated DNA was carried out by RT- PCR system through DNA standard curves and cycle threshold (Ct) values. The detection limit of DNA template was in the range of 0.001-0.002%. The reaction mixture (20μL) contained 10 μL SYBR Green master mix, 0.3 μL of 10 μM of each primer and 5 μL DNA. Thermal cycling consisted of an initial denaturation at 95 °C for 1 min, followed by 40 cycles for 15 s at 95 °C and 60 °C for 30 s. The primer pairs used were confirmed for their PCR efficiency, and specific products were evaluated by melt curve analysis. Results indicated positive amplification for the camel milk, camel milk powder, and camel milk soap but negative amplification for cow and goat milk. In conclusion, the RT- PCR based identification is a low cost and appropriate method for camel milk and its products. Although, the yield of DNA from camel milk soap after isolation is low but the isolated DNA segment was easily identified.
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Affiliation(s)
- Wajeehah Wajahat
- Department of Food Technology, Jamia Hamdard, New-Delhi, 110062 India
| | - Z R Azaz Ahmad Azad
- Department of Post Harvest Engineering and Technology, Aligarh Muslim University, Aligarh, Uttar Pradesh 202002 India
| | - Sadaf Nazir
- Department of Food Technology, Institute of Engineering & Technology, Bundelkhand University, Kanpur Road, Jhansi, Uttar Pradesh 284128 India
| | - Gazia Nasir
- Department of Post Harvest Engineering and Technology, Aligarh Muslim University, Aligarh, Uttar Pradesh 202002 India
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13
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Hong Y, Birse N, Quinn B, Montgomery H, Wu D, Rosas da Silva G, van Ruth SM, Elliott CT. Identification of milk from different animal and plant sources by desorption electrospray ionisation high-resolution mass spectrometry (DESI-MS). NPJ Sci Food 2022; 6:14. [PMID: 35149683 PMCID: PMC8837636 DOI: 10.1038/s41538-022-00129-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Accepted: 01/19/2022] [Indexed: 11/09/2022] Open
Abstract
This study used desorption electrospray ionisation mass spectrometry (DESI-MS) to analyse and detect and classify biomarkers in five different animal and plant sources of milk for the first time. A range of differences in terms of features was observed in the spectra of cow milk, goat milk, camel milk, soya milk, and oat milk. Chemometric modelling was then used to classify the mass spectra data, enabling unique or significant markers for each milk source to be identified. The classification of different milk sources was achieved with a cross-validation percentage rate of 100% through linear discriminate analysis (LDA) with high sensitivity to adulteration (0.1-5% v/v). The DESI-MS results from the milk samples analysed show the methodology to have high classification accuracy, and in the absence of complex sample clean-up which is often associated with authenticity testing, to be a rapid and efficient approach for milk fraud control.
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Affiliation(s)
- Yunhe Hong
- ASSET Technology Centre, Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, Northern Ireland, UK.
| | - Nicholas Birse
- ASSET Technology Centre, Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, Northern Ireland, UK
| | - Brian Quinn
- ASSET Technology Centre, Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, Northern Ireland, UK
| | - Holly Montgomery
- ASSET Technology Centre, Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, Northern Ireland, UK
| | - Di Wu
- ASSET Technology Centre, Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, Northern Ireland, UK
| | - Gonçalo Rosas da Silva
- ASSET Technology Centre, Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, Northern Ireland, UK
| | - Saskia M van Ruth
- Food Quality and Design Group, Wageningen University and Research, western, the Netherlands
| | - Christopher T Elliott
- ASSET Technology Centre, Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, Northern Ireland, UK
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14
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Sangthong D, Suwannarat S, Samipak S, Sangthong P. Multiplex PCR assay for species identification of meat and dairy products from buffalo (Bubalus bubalis), cattle (Bos indicus and Bos taurus), goat (Capra hircus), and sheep (Ovis aries). INTERNATIONAL FOOD RESEARCH JOURNAL 2021. [DOI: 10.47836/ifrj.28.4.08] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
Cases of fraudulent meat and dairy products have increased worldwide, especially in developing countries. To determine the misrepresented animal species, appropriate tools in routine monitoring should be available for food inspections. In the present work, a multiplex polymerase chain reaction assay for species identification of products from ruminants including buffalo, cattle, goat, and sheep was developed. The primer set KUMUT_cFarmSp1 was composed of five species-specific primers and a pair of positive-control primers. The primer set amplified 106-, 163-, 232-, and 308-bp specific fragments from the cytochrome b (cyt b) gene of buffalo, cattle, goat, and sheep, respectively, and 370-bp positive-control fragment from 16S ribosomal RNA (16S rRNA). The detection limit of this PCR assay is 0.1 ng of DNA template. The developed primer set exhibited strong specificity, sensitivity, robustness, and simplicity for food verification, thus indicating its usefulness for species verification in food quality control and law enforcement.
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15
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dos Santos Pereira EV, de Sousa Fernandes DD, de Araújo MCU, Diniz PHGD, Maciel MIS. In-situ authentication of goat milk in terms of its adulteration with cow milk using a low-cost portable NIR spectrophotometer. Microchem J 2021. [DOI: 10.1016/j.microc.2020.105885] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
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16
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Marchetti P, Mottola A, Tantillo G, Castrica M, Di Pinto A. Short communication: Detection of undeclared presence of bovine milk in buffalo yogurt. J Dairy Sci 2021; 104:4056-4061. [PMID: 33516557 DOI: 10.3168/jds.2020-19194] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Accepted: 11/04/2020] [Indexed: 11/19/2022]
Abstract
The authenticity of buffalo (Bubalus bubalis) dairy products is a focal issue, considering the increasing demand for buffalo milk products. Therefore, the aim of this study was to investigate the undeclared presence of bovine (Bos taurus) milk in buffalo yogurt, to understand which risk factors might make the product vulnerable to fraud. Real-time PCR assay showed the undeclared presence of bovine DNA in addition to buffalo DNA in 18 of 72 samples. Given the widespread lack of data on the presence of undeclared milk species in buffalo dairy products, the study provides a significant insight into the incidence of fraud in the buffalo dairy field. The data from this study could help improve the analysis of food safety risks along the buffalo milk supply chain and in the dairy processing industry, perceived as being highly vulnerable to food fraud, and prioritize target areas for food policy making to steer and enforce European food fraud regulations.
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Affiliation(s)
- Patrizia Marchetti
- Department of Veterinary Medicine, University of Bari Aldo Moro, 70010 Valenzano, Italy
| | - Anna Mottola
- Department of Veterinary Medicine, University of Bari Aldo Moro, 70010 Valenzano, Italy
| | - Giuseppina Tantillo
- Interdisciplinary Department of Medicine, University of Bari Aldo Moro, 70124 Bari, Italy
| | - Marta Castrica
- Department of Veterinary Science for Health, Animal Production and Food Safety, University of Milan, 20133 Milan, Italy
| | - Angela Di Pinto
- Department of Veterinary Medicine, University of Bari Aldo Moro, 70010 Valenzano, Italy.
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17
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Uncu AO, Uncu AT. A barcode-DNA analysis method for the identification of plant oil adulteration in milk and dairy products. Food Chem 2020; 326:126986. [PMID: 32407998 DOI: 10.1016/j.foodchem.2020.126986] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Revised: 05/02/2020] [Accepted: 05/03/2020] [Indexed: 11/19/2022]
Abstract
In the present work, a barcode-DNA analysis method is described for the detection of plant oil adulteration in milk and dairy products. The method relies on the fact that plant DNA should not be present in readily detectable amounts in a dairy product unless it contains undeclared plant material. Thus, a universal plant barcode is chosen as the target to be amplified from dairy samples. Accordingly, barcode PCR-CE (PCR-capillary electrophoresis) assays are described, which do not require preliminary information on the species source of the adulterant oil type. Two PCR-CE assays, one operating on the plastid trnL (UAA) intron and the other targeting its inner P6 loop in nested format, were shown to detect corn, soybean, rapeseed and sunflower oils in clarified butter, milk and yogurt. Both barcodes are robustly amplified with extremely conserved primers. While the intron provides the species discrimination ability, the P6 loop provides superior detection sensitivity.
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Affiliation(s)
- Ayse Ozgur Uncu
- Necmettin Erbakan University, Department of Biotechnology, Meram, Konya 42090, Turkey.
| | - Ali Tevfik Uncu
- Necmettin Erbakan University, Department of Molecular Biology & Genetics, Meram, Konya 42090, Turkey.
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Simultaneous determination of goat milk adulteration with cow milk and their fat and protein contents using NIR spectroscopy and PLS algorithms. Lebensm Wiss Technol 2020. [DOI: 10.1016/j.lwt.2020.109427] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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19
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Detection of the Bovine Milk Adulterated in Camel, Horse, and Goat Milk Using Duplex PCR. FOOD ANAL METHOD 2019. [DOI: 10.1007/s12161-019-01678-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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20
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Kang TS. Basic principles for developing real-time PCR methods used in food analysis: A review. Trends Food Sci Technol 2019. [DOI: 10.1016/j.tifs.2019.07.037] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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21
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Guo L, Ya M, Hai X, Guo YS, Li CD, Xu WL, Liao CS, Feng W, Cai Q. A simultaneous triplex TaqMan real-time PCR approach for authentication of caprine and bovine meat, milk and cheese. Int Dairy J 2019. [DOI: 10.1016/j.idairyj.2019.03.004] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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22
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de Jesus Silva G, Gonçalves BHRF, de Jesus JC, Vidigal MCTR, Minim LA, Ferreira SO, Bonomo RCF, Ferrão SPB. Study of the structural properties of goat's milk chocolates with different concentrations of cocoa mass. J Texture Stud 2019; 50:547-555. [PMID: 31276201 DOI: 10.1111/jtxs.12463] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2019] [Revised: 06/26/2019] [Accepted: 06/28/2019] [Indexed: 11/29/2022]
Abstract
The objective of this study was to assess the microstructural characteristics of goat's milk chocolates formulated with different concentrations of cocoa mass by rheological measurements and microscopy. For rheological characterization, rotational and oscillatory tests were performed, while crystal morphology was observed by means of atomic force microscopy (AFM) and 3D optical profilometer. It was verified that the chocolates presented pseudoplastic and thixotropic behavior. The Herschel-Bulkley model adequately described the flow behavior of the formulations. In the oscillatory tests, it was found that the tangent δ (loss) decreased from 0.33 to 0.17 as a function of the increase in cocoa mass concentration. The creep recovery tests were consistent with the other rheological tests. The analysis of AFM and profilometer indicated that there are different microscopic pores on the surface of the chocolates, and that with the increase in the concentration of cocoa mass, it has a structure with greater interactions.
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Affiliation(s)
- Grazielly de Jesus Silva
- Program in Food Engineering and Science, Universidade Estadual do Sudoeste da Bahia (UESB), Itapetinga, Brazil
| | - Ben-Hur Ramos Ferreira Gonçalves
- Program in Food Engineering and Science, Universidade Estadual do Sudoeste da Bahia (UESB), Itapetinga, Brazil.,Tecno-Sciences and Innovation Training Center, Universidade Federal do Sul da Bahia (UFSB), Itabuna, Brazil
| | - Josane Cardim de Jesus
- Program in Food Engineering and Science, Universidade Estadual do Sudoeste da Bahia (UESB), Itapetinga, Brazil
| | | | - Luis Antonio Minim
- Department of Food Technology, Universidade Federal de Viçosa (UFV), Viçosa, Brazil
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23
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Fraudulent species substitution in e-commerce of protected denomination origin (pdo) products. J Food Compost Anal 2019. [DOI: 10.1016/j.jfca.2019.03.018] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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24
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Böhme K, Calo-Mata P, Barros-Velázquez J, Ortea I. Review of Recent DNA-Based Methods for Main Food-Authentication Topics. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2019; 67:3854-3864. [PMID: 30901215 DOI: 10.1021/acs.jafc.8b07016] [Citation(s) in RCA: 95] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Adulteration and mislabeling of food products and the commercial fraud derived, either intentionally or not, is a global source of economic fraud to consumers but also to all stakeholders involved in food production and distribution. Legislation has been enforced all over the world aimed at guaranteeing the authenticity of the food products all along the distribution chain, thereby avoiding food fraud and adulteration. Accordingly, there is a growing need for new analytical methods able to verify that all the ingredients included in a foodstuff match the qualities claimed by the manufacturer or distributor. In this sense, the improved performance of most recent DNA-based tools in term of sensitivity, multiplexing ability, high-throughput, and relatively low-cost give them a game-changing role in food-authenticity-related topics. Here, we provide a thorough and updated vision on the recently reported approaches that are applying these DNA-based tools to assess the authenticity of food components and products.
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Affiliation(s)
- Karola Böhme
- Department of Analytical Chemistry, Nutrition and Food Science , University of Santiago de Compostela , E-27002 Lugo , Spain
| | - Pilar Calo-Mata
- Department of Analytical Chemistry, Nutrition and Food Science , University of Santiago de Compostela , E-27002 Lugo , Spain
| | - Jorge Barros-Velázquez
- Department of Analytical Chemistry, Nutrition and Food Science , University of Santiago de Compostela , E-27002 Lugo , Spain
| | - Ignacio Ortea
- Proteomics Unit , Maimonides Institute for Biomedical Research (IMIBIC) , E-14004 Córdoba , Spain
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Geographical origin and species differentiation of Transylvanian cheese. Comparative study of isotopic and elemental profiling vs. DNA results. Food Chem 2019; 277:307-313. [DOI: 10.1016/j.foodchem.2018.10.103] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2018] [Revised: 09/07/2018] [Accepted: 10/22/2018] [Indexed: 02/06/2023]
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26
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Böhme K, Calo-Mata P, Barros-Velázquez J, Ortea I. Recent applications of omics-based technologies to main topics in food authentication. Trends Analyt Chem 2019. [DOI: 10.1016/j.trac.2018.11.005] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
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27
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Identification of undeclared ingredients in red pepper products sold on the South Korea commercial market using real-time PCR methods. Food Control 2018. [DOI: 10.1016/j.foodcont.2018.02.033] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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