1
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Li LF, Shi X, Qi SM, Zhang XT, Fung HY, Li QR, Han QB. Strategies, techniques and applications for food authentication based on carbohydrates: A review. Carbohydr Polym 2024; 344:122533. [PMID: 39218564 DOI: 10.1016/j.carbpol.2024.122533] [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: 05/30/2024] [Revised: 07/09/2024] [Accepted: 07/21/2024] [Indexed: 09/04/2024]
Abstract
The increasing complexity and ubiquity of food processing and the emergence of fraudulent practices have made effective and reliable methods to authenticate food products of utmost importance. Carbohydrates, with various nutritional functions, are abundant in foods and can serve as potential markers for food authentication. However, the complex and diverse structures and properties of carbohydrates, especially polysaccharides, pose challenges. Nonetheless, significant progress has been made in this area. This paper provides an overview of the utilization of carbohydrates in food authentication since 2000, focusing on strategies involving carbohydrate-based markers, carbohydrate profiles, and carbohydrate-protein interaction-based assays. The analytical techniques, applications, challenges and limitations of these strategies are reviewed and discussed. The findings demonstrate that these strategies offer origin verification, quality assessment, adulteration detection, process control, and food species identification. Notably, oligosaccharide analysis has proven effective in food authentication and remains a promising marker, especially for analyzing intricate matrices. The advances in chromatography separation and mass spectrometry identification of isomers and trace amounts of these compounds have facilitated the discovery of such markers. In conclusion, carbohydrate analysis can play a crucial role in food authentication. Future research and development will make the authentication of carbohydrate-rich foods ever more accurate and efficient.
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Affiliation(s)
- Li-Feng Li
- School of Chinese Medicine, Hong Kong Baptist University, Hong Kong, China
| | - Xi Shi
- School of Chinese Medicine, Hong Kong Baptist University, Hong Kong, China
| | - Si-Min Qi
- School of Chinese Medicine, Hong Kong Baptist University, Hong Kong, China
| | - Xue-Ting Zhang
- School of Chinese Medicine, Hong Kong Baptist University, Hong Kong, China
| | - Hau-Yee Fung
- School of Chinese Medicine, Hong Kong Baptist University, Hong Kong, China
| | - Qian-Ran Li
- School of Chinese Medicine, Hong Kong Baptist University, Hong Kong, China
| | - Quan-Bin Han
- School of Chinese Medicine, Hong Kong Baptist University, Hong Kong, China.
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2
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Li Y, Zhao W, Qian M, Wen Z, Bai W, Zeng X, Wang H, Xian Y, Dong H. Recent advances in the authentication (geographical origins, varieties and aging time) of tangerine peel (Citri reticulatae pericarpium): A review. Food Chem 2024; 442:138531. [PMID: 38271910 DOI: 10.1016/j.foodchem.2024.138531] [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: 10/16/2023] [Revised: 01/05/2024] [Accepted: 01/19/2024] [Indexed: 01/27/2024]
Abstract
The consumption of tangerine peel (Citri reticulatae pericarpium, CRP) has been steadily increasing worldwide due to its proven health benefits and sensory characteristics. However, the price of CRP varies widely based on its origin, variety, and aging time, which has led many manufacturers to offer inferior products by exploiting the sensory similarity of CRP, seriously undermining consumers' interests. Therefore, it is essential to identify the authenticity of the CRP. In this study, the research progress on the authenticity of CRP from different origins, years and varieties over the past 10 years and the application and prospects of the main technologies and techniques were reviewed. The advantages and disadvantages of the commonly used methods were also summarized and compared. Mass spectrometry-based and spectroscopy-based techniques are the most commonly used methods for analyzing CRP authenticity. However, designing fast, non-destructive and green methods for identifying CRP authenticity would be the future trend.
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Affiliation(s)
- Yanxin Li
- College of Light Industry and Food Sciences, Guangdong Provincial Key Laboratory of Lingnan Specialty Food Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
| | - Wenhong Zhao
- College of Light Industry and Food Sciences, Guangdong Provincial Key Laboratory of Lingnan Specialty Food Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China; Key Laboratory of Green Processing and Intelligent Manufacturing of Lingnan Specialty Food, Ministry of Agriculture, Guangzhou 510225, China
| | - Min Qian
- College of Light Industry and Food Sciences, Guangdong Provincial Key Laboratory of Lingnan Specialty Food Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China; Key Laboratory of Green Processing and Intelligent Manufacturing of Lingnan Specialty Food, Ministry of Agriculture, Guangzhou 510225, China.
| | - Zhiyi Wen
- College of Light Industry and Food Sciences, Guangdong Provincial Key Laboratory of Lingnan Specialty Food Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
| | - Weidong Bai
- College of Light Industry and Food Sciences, Guangdong Provincial Key Laboratory of Lingnan Specialty Food Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China; Key Laboratory of Green Processing and Intelligent Manufacturing of Lingnan Specialty Food, Ministry of Agriculture, Guangzhou 510225, China
| | - Xiaofang Zeng
- College of Light Industry and Food Sciences, Guangdong Provincial Key Laboratory of Lingnan Specialty Food Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China; Key Laboratory of Green Processing and Intelligent Manufacturing of Lingnan Specialty Food, Ministry of Agriculture, Guangzhou 510225, China
| | - Hong Wang
- College of Light Industry and Food Sciences, Guangdong Provincial Key Laboratory of Lingnan Specialty Food Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China; Key Laboratory of Green Processing and Intelligent Manufacturing of Lingnan Specialty Food, Ministry of Agriculture, Guangzhou 510225, China
| | - Yanping Xian
- Research Center of Risk Dynamic Detection and Early Warning for Food Safety of Guangzhou City, Guangzhou Quality Supervision and Testing Institute, Guangzhou 511447, China
| | - Hao Dong
- College of Light Industry and Food Sciences, Guangdong Provincial Key Laboratory of Lingnan Specialty Food Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China; Key Laboratory of Green Processing and Intelligent Manufacturing of Lingnan Specialty Food, Ministry of Agriculture, Guangzhou 510225, China.
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3
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Khatun MA, Yoshimura J, Yoshida M, Suzuki Y, Huque R, Kelly SD, Munshi MK. Isotopic characteristics (δ 13C, δ 15N, and δ 18O) of honey from Bangladesh retail markets: Investigating sugar manipulation, botanical and geographical authentication. Food Chem 2024; 435:137612. [PMID: 37801765 DOI: 10.1016/j.foodchem.2023.137612] [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: 06/13/2023] [Revised: 08/02/2023] [Accepted: 09/26/2023] [Indexed: 10/08/2023]
Abstract
The study analyzed stable isotope composition (carbon, nitrogen, oxygen) of Bangladesh origin monofloral and multifloral honey for the first time to identify the C-4plant sugar adulteration, botanical and geographical differentiation. The C-4 sugar content (11.90 to 86.61%) using carbon isotope values of whole honey and protein extractidentified18% adulterated honeys.Whereas 82% honey have been detected as authentic with the δ13C ranges from -24.86 to -29.26‰ and the C-4 sugar values ranges from -6.75 to 5.67%. The chemometric approach using carbon and nitrogen isotopesvalues revealed discrimination among floral types of Bangladeshi authentic honeys indicating the influence of botanical source on isotopic composition. Canonical discriminant analysis (CDA) of C and N isotopes showed geographic distinction among Bangladeshi and overseas origin honeys. It is notable that the black seed honeys were correctly classified with the CDA analysis representing this type as unique Bangladesh brand as New Zealand manuka honey.
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Affiliation(s)
- Mst Afifa Khatun
- Food Safety and Quality Analysis Division, Institute of Food and Radiation Biology, Atomic Energy Research Establishment, Bangladesh Atomic Energy Commission, Dhaka, Bangladesh.
| | - Junya Yoshimura
- Department of Food Science and Technology, Nippon Veterinary and Life Science University, Tokyo, Japan.
| | - Mitsuru Yoshida
- Department of Food Science and Technology, Nippon Veterinary and Life Science University, Tokyo, Japan.
| | - Yaeko Suzuki
- Advanced Analysis Center, National Agriculture and Food Research Organization, Tsukuba, Japan.
| | - Roksana Huque
- Food Safety and Quality Analysis Division, Institute of Food and Radiation Biology, Atomic Energy Research Establishment, Bangladesh Atomic Energy Commission, Dhaka, Bangladesh.
| | - Simon D Kelly
- Food Safety & Control Laboratory, Joint FAO/IAEA Centre of Nuclear Techniques in Food and Agriculture, International Atomic Energy Agency, Vienna International Centre, Wagramer Strasse 5, P.O. Box 100, 1400 Vienna, Austria.
| | - M Kamruzzaman Munshi
- Food Safety and Quality Analysis Division, Institute of Food and Radiation Biology, Atomic Energy Research Establishment, Bangladesh Atomic Energy Commission, Dhaka, Bangladesh.
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4
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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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5
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Yücel P, Güçlü H, Mert Y, Yalçın F, Ocak SB. Detection of adulteration using statistical methods over carbon isotope ratios in carob, grape, fig and mulberry pekmez. J Food Compost Anal 2023. [DOI: 10.1016/j.jfca.2022.104979] [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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6
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Recent advances in Chinese food authentication and origin verification using isotope ratio mass spectrometry. Food Chem 2023; 398:133896. [DOI: 10.1016/j.foodchem.2022.133896] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Revised: 08/03/2022] [Accepted: 08/06/2022] [Indexed: 11/20/2022]
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7
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Limm W, Karunathilaka SR, Mossoba MM. Fourier transform infrared spectroscopy and chemometrics for the rapid screening of economically motivated adulteration of honey spiked with corn or rice syrup. J Food Prot 2023; 86:100054. [PMID: 37005034 DOI: 10.1016/j.jfp.2023.100054] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Revised: 01/18/2023] [Accepted: 01/21/2023] [Indexed: 01/29/2023]
Abstract
Due to its high price, increased consumption, and limited production, honey has been a main target for economically motivated adulteration (EMA). An approach combining Fourier-Transform infrared spectroscopy (FTIR) and chemometrics was evaluated to develop a rapid screening tool to detect potential EMA of honey with either rice or corn syrup. A single-class soft independent modeling of class analogy (SIMCA) model was developed using a diverse set of commercial honey products and an authentic set of honey samples collected at four different U.S. Department of Agriculture (USDA) honey sample collection locations. The SIMCA model was externally validated with a set of calibration-independent authentic honey, typical commercial honey control samples, and those spiked with rice and corn syrups in the 1-16% concentration range. The authentic honey and typical commercial honey test samples were correctly predicted with an 88.3% classification rate. High accuracy was found in predicting the rice and corn syrup spiked samples above the 7% concentration range, yielding 97.6% and 94.8% correct classification rates, respectively. This study demonstrated the potential for a rapid and accurate infrared and chemometrics method that can be used to rapidly screen for either rice or corn adulterants in honey in less than 5 min.
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Affiliation(s)
- William Limm
- U.S. Food and Drug Administration, Center for Food Safety and Applied Nutrition, Office of Regulatory Science, 5001 Campus Drive, College Park, MD 20740, USA.
| | - Sanjeewa R Karunathilaka
- University of Maryland, Joint Institute for Food Safety and Applied Nutrition, 2134 Patapsco Building, College Park, MD 20742, USA
| | - Magdi M Mossoba
- U.S. Food and Drug Administration, Center for Food Safety and Applied Nutrition, Office of Regulatory Science, 5001 Campus Drive, College Park, MD 20740, USA
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8
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Hyperspectral Microscopy Technology to Detect Syrups Adulteration of Endemic Guindo Santo and Quillay Honey Using Machine-Learning Tools. Foods 2022; 11:foods11233868. [PMID: 36496674 PMCID: PMC9736009 DOI: 10.3390/foods11233868] [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: 10/07/2022] [Revised: 11/18/2022] [Accepted: 11/25/2022] [Indexed: 12/05/2022] Open
Abstract
Honey adulteration is a common practice that affects food quality and sale prices, and certifying the origin of the honey using non-destructive methods is critical. Guindo Santo and Quillay are fundamental for the honey production of Biobío and the Ñuble region in Chile. Furthermore, Guindo Santo only exists in this area of the world. Therefore, certifying honey of this species is crucial for beekeeper communities-mostly natives-to give them advantages and competitiveness in the global market. To solve this necessity, we present a system for detecting adulterated endemic honey that combines different artificial intelligence networks with a confocal optical microscope and a tunable optical filter for hyperspectral data acquisition. Honey samples artificially adulterated with syrups at concentrations undetectable to the naked eye were used for validating different artificial intelligence models. Comparing Linear discriminant analysis (LDA), Support vector machine (SVM), and Neural Network (NN), we reach the best average accuracy value with SVM of 93% for all classes in both kinds of honey. We hope these results will be the starting point of a method for honey certification in Chile in an automated way and with high precision.
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9
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Brar DS, Pant K, Krishna R, Kaur S, Rasane P, Nanda V, Saxena S, Gautam S. A comprehensive review on unethical honey: Validation by emerging techniques. Food Control 2022. [DOI: 10.1016/j.foodcont.2022.109482] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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10
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García-Seval V, Martínez-Alfaro C, Saurina J, Núñez O, Sentellas S. Characterization, Classification and Authentication of Spanish Blossom and Honeydew Honeys by Non-Targeted HPLC-UV and Off-Line SPE HPLC-UV Polyphenolic Fingerprinting Strategies. Foods 2022; 11:foods11152345. [PMID: 35954111 PMCID: PMC9368295 DOI: 10.3390/foods11152345] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Revised: 07/29/2022] [Accepted: 08/02/2022] [Indexed: 11/18/2022] Open
Abstract
Honey is a highly consumed natural product produced by bees which is susceptible to fraudulent practices, some of them regarding its botanical origin. Two HPLC-UV non-targeted fingerprinting approaches were evaluated in this work to address honey characterization, classification, and authentication based on honey botanical variety. The first method used no sample treatment and a universal reversed-phase chromatographic separation. On the contrary, the second method was based on an off-line SPE preconcentration method, optimized for the isolation and extraction of polyphenolic compounds, and a reversed-phase chromatographic separation optimized for polyphenols as well. For the off-line SPE method, the use of HLB (3 mL, 60 mg) cartridges, and 6 mL of methanol as eluent, allowed to achieve acceptable recoveries for the selected polyphenols. The obtained HPLC-UV fingerprints were subjected to an exploratory principal component analysis (PCA) and a classificatory partial least squares-discriminant analysis (PLS-DA) to evaluate their viability as sample chemical descriptors for authentication purposes. Both HPLC-UV fingerprints resulted to be appropriate to discriminate between blossom honeys and honeydew honeys. However, a superior performance was accomplished with off-line SPE HPLC-UV polyphenolic fingerprints, being able to differentiate among the different blossom honey samples under the study (orange/lemon blossom, rosemary, thyme, eucalyptus, and heather). In general, this work demonstrated the feasibility of HPLC-UV fingerprints, especially those obtained after off-line SPE polyphenolic isolation and extraction, to be employed as honey chemical descriptors to address the characterization and classification of honey samples according to their botanical origin.
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Affiliation(s)
- Víctor García-Seval
- Department of Chemical Engineering and Analytical Chemistry, Universitat de Barcelona, Martí i Franquès 1-11, E-08028 Barcelona, Spain
| | - Clàudia Martínez-Alfaro
- Department of Chemical Engineering and Analytical Chemistry, Universitat de Barcelona, Martí i Franquès 1-11, E-08028 Barcelona, Spain
| | - Javier Saurina
- Department of Chemical Engineering and Analytical Chemistry, Universitat de Barcelona, Martí i Franquès 1-11, E-08028 Barcelona, Spain
- Research Institute in Food Nutrition and Food Safety, Universitat de Barcelona, Recinte Torribera, Av. Prat de la Riba 171, Edifici de Recerca (Gaudí), Santa Coloma de Gramenet, E-08921 Barcelona, Spain
| | - Oscar Núñez
- Department of Chemical Engineering and Analytical Chemistry, Universitat de Barcelona, Martí i Franquès 1-11, E-08028 Barcelona, Spain
- Research Institute in Food Nutrition and Food Safety, Universitat de Barcelona, Recinte Torribera, Av. Prat de la Riba 171, Edifici de Recerca (Gaudí), Santa Coloma de Gramenet, E-08921 Barcelona, Spain
- Correspondence:
| | - Sònia Sentellas
- Department of Chemical Engineering and Analytical Chemistry, Universitat de Barcelona, Martí i Franquès 1-11, E-08028 Barcelona, Spain
- Research Institute in Food Nutrition and Food Safety, Universitat de Barcelona, Recinte Torribera, Av. Prat de la Riba 171, Edifici de Recerca (Gaudí), Santa Coloma de Gramenet, E-08921 Barcelona, Spain
- Serra Húnter Fellow, Generalitat de Catalunya, Rambla de Catalunya 19-21, E-08007 Barcelona, Spain
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11
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Antônio DC, de Assis DCS, Botelho BG, Sena MM. Detection of adulterations in a valuable Brazilian honey by using spectrofluorimetry and multiway classification. Food Chem 2022; 370:131064. [PMID: 34537433 DOI: 10.1016/j.foodchem.2021.131064] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2021] [Revised: 07/29/2021] [Accepted: 09/03/2021] [Indexed: 11/04/2022]
Abstract
Spectrofluorimetry combined with multiway chemometric tools were applied to discriminate pure Aroeira honey samples from samples adulterated with corn syrup, sugar cane molasses and polyfloral honey. Excitation emission spectra were acquired for 232 honey samples by recording excitation from 250 to 500 nm and emission from 270 to 640 nm. Parallel factor analysis (PARAFAC), partial least squares discriminant analysis (PLS-DA), unfolded PLS-DA (UPLS-DA) and multilinear PLS-DA (NPLS-DA) methods were used to decompose the spectral data and build classification models. PLS-DA models presented poor classification rates, demonstrating the limitation of the traditional two-way methods for this dataset, and leading to the development of three-way classification models. Overall, UPLS-DA provided the best classification results with misclassification rates of 4% and 8% for the training and test sets, respectively. These results showed the potential of the proposed method for routine laboratory analysis as a simple, reliable, and affordable tool.
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Affiliation(s)
- Daphne Chiara Antônio
- Departamento de Química, Instituto de Ciências Exatas (ICEx), Universidade Federal de Minas Gerais (UFMG), 31270-901 Belo Horizonte, MG, Brazil
| | | | - Bruno Gonçalves Botelho
- Departamento de Química, Instituto de Ciências Exatas (ICEx), Universidade Federal de Minas Gerais (UFMG), 31270-901 Belo Horizonte, MG, Brazil
| | - Marcelo Martins Sena
- Departamento de Química, Instituto de Ciências Exatas (ICEx), Universidade Federal de Minas Gerais (UFMG), 31270-901 Belo Horizonte, MG, Brazil; Instituto Nacional de Ciência e Tecnologia em Bioanalítica, 13083-970 Campinas, SP, Brazil.
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12
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Droplet digital polymerase chain reaction (ddPCR) for rapid screening of adulterants in honey: A case study on acacia honey adulterated with canola honey. Food Control 2021. [DOI: 10.1016/j.foodcont.2021.108234] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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13
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Cuchet A, Anchisi A, Schiets F, Clément Y, Lantéri P, Bonnefoy C, Jame P, Carénini E, Casabianca H. Determination of enantiomeric and stable isotope ratio fingerprints of active secondary metabolites in neroli (Citrus aurantium L.) essential oils for authentication by multidimensional gas chromatography and GC-C/P-IRMS. J Chromatogr B Analyt Technol Biomed Life Sci 2021; 1185:123003. [PMID: 34731745 DOI: 10.1016/j.jchromb.2021.123003] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Revised: 09/20/2021] [Accepted: 10/15/2021] [Indexed: 11/28/2022]
Abstract
Neroli essential oil (EO), extracted from bitter orange blossoms, is one of the most expensive natural products on the market due to its poor yield and its use in fragrance compositions, such as cologne. Multiple adulterations of neroli EO are found on the market, and several authentication strategies, such as enantioselective gas chromatography (GC) and isotope ratio mass spectrometry (IRMS), have been developed in the last few years. However, neroli EO adulteration is becoming increasingly sophisticated, and analytical improvements are needed to increase precision. Enantiomeric and compound-specific isotopic profiling of numerous metabolites using multidimensional GC and GC-C/P-IRMS was carried out. These analyses proved to be efficient for geographical tracing, especially to distinguish neroli EO of Egyptian origin. In addition, δ2H values and enantioselective ratios can identify an addition of 10% of petitgrain EO. These results demonstrate that enantioselective and stable isotopic metabolite fingerprint determination is currently a necessity to control EOs.
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Affiliation(s)
- Aurélien Cuchet
- Albert Vieille SAS, 629 Route de Grasse, 06220 Vallauris, France; Université de Lyon, CNRS, Université Claude Bernard Lyon 1, Institut des Sciences Analytiques, UMR 5280, 5 rue de la Doua, F-69100 Villeurbanne, France.
| | - Anthony Anchisi
- Université de Lyon, CNRS, Université Claude Bernard Lyon 1, Institut des Sciences Analytiques, UMR 5280, 5 rue de la Doua, F-69100 Villeurbanne, France
| | - Frédéric Schiets
- Université de Lyon, CNRS, Université Claude Bernard Lyon 1, Institut des Sciences Analytiques, UMR 5280, 5 rue de la Doua, F-69100 Villeurbanne, France
| | - Yohann Clément
- Université de Lyon, CNRS, Université Claude Bernard Lyon 1, Institut des Sciences Analytiques, UMR 5280, 5 rue de la Doua, F-69100 Villeurbanne, France
| | - Pierre Lantéri
- Université de Lyon, CNRS, Université Claude Bernard Lyon 1, Institut des Sciences Analytiques, UMR 5280, 5 rue de la Doua, F-69100 Villeurbanne, France
| | - Christelle Bonnefoy
- Université de Lyon, CNRS, Université Claude Bernard Lyon 1, Institut des Sciences Analytiques, UMR 5280, 5 rue de la Doua, F-69100 Villeurbanne, France
| | - Patrick Jame
- Université de Lyon, CNRS, Université Claude Bernard Lyon 1, Institut des Sciences Analytiques, UMR 5280, 5 rue de la Doua, F-69100 Villeurbanne, France
| | - Elise Carénini
- Albert Vieille SAS, 629 Route de Grasse, 06220 Vallauris, France
| | - Hervé Casabianca
- Université de Lyon, CNRS, Université Claude Bernard Lyon 1, Institut des Sciences Analytiques, UMR 5280, 5 rue de la Doua, F-69100 Villeurbanne, France
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14
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Hegazi NM, Elghani GEA, Farag MA. The super-food Manuka honey, a comprehensive review of its analysis and authenticity approaches. JOURNAL OF FOOD SCIENCE AND TECHNOLOGY 2021; 59:2527-2534. [DOI: 10.1007/s13197-021-05181-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Revised: 05/30/2021] [Accepted: 06/15/2021] [Indexed: 11/25/2022]
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15
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El Hawari K, Al Iskandarani M, Jaber F, Ezzeddine R, Ziller L, Perini M, Bontempo L, Pellegrini M, Camin F. Evaluation of honey authenticity in Lebanon by analysis of carbon stable isotope ratio using elemental analyzer and liquid chromatography coupled to isotope ratio mass spectrometry. JOURNAL OF MASS SPECTROMETRY : JMS 2021; 56:e4730. [PMID: 34000760 PMCID: PMC8244054 DOI: 10.1002/jms.4730] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Revised: 03/22/2021] [Accepted: 04/07/2021] [Indexed: 06/12/2023]
Abstract
Honey is one of the most valuable sweeteners consumed by humans all over the world. Consequently, it is often a target for adulteration through the addition of different sugar syrups during or after honey production, resulting in a reduction in its nutritive value. For the first time, this study analyzes honey samples of various botanical species collected from different Lebanese regions using element analyzer (EA) and liquid chromatography (LC) coupled with isotope ratio mass spectrometry (IRMS). The δ13 C of bulk honey, its protein fraction, and the main individual sugars (glucose, fructose, disaccharides, and trisaccharide) were determined, in order to characterize and evaluate the authenticity of honey consumed in Lebanon. The results showed that the δ13 C values for bulk honey and its protein range from -26.5‰ to -24.5‰ and from -26.4‰ to -24.7‰, respectively, for authentic samples. δ13 C values for samples adulterated with sugar syrups range from -11.2‰ to -25.1‰ for bulk honey and from -26.6‰ to -23.7‰ for its proteins, with a difference between bulk and protein values between -1 and -8.7‰. Using LC-C-IRMS techniques, the δ13 C of individual sugars provides additional information on the presence of undeclared sugars. We found that all authentic samples had Δδ13 Cf-g and Δδ13 C max values within the naturally occurring range of ±1‰ and ±2.1‰, respectively, while the adulterated samples fall outside the Δδ13 C ranges. The oligosaccharide peak was detected in most adulterated samples.
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Affiliation(s)
- Khaled El Hawari
- Laboratory for Analysis of Organic Compounds (LAOC)CNRSL, Lebanese Atomic Energy Commission (LAEC)BeirutLebanon
| | - Mohamad Al Iskandarani
- Laboratory for Analysis of Organic Compounds (LAOC)CNRSL, Lebanese Atomic Energy Commission (LAEC)BeirutLebanon
- Faculty of Public Health ILebanese UniversityBeirutLebanon
| | - Farouk Jaber
- Laboratory for Analysis of Organic Compounds (LAOC)CNRSL, Lebanese Atomic Energy Commission (LAEC)BeirutLebanon
- Analysis of Organic Compounds Laboratory (LACO), Faculty of Sciences ILebanese UniversityBeirutLebanon
| | - Raed Ezzeddine
- Faculty of Public Health ILebanese UniversityBeirutLebanon
| | - Luca Ziller
- Department of Food Quality and Nutrition, Research and Innovation CentreFondazione Edmund Mach (FEM)San Michele all'AdigeItaly
| | - Matteo Perini
- Department of Food Quality and Nutrition, Research and Innovation CentreFondazione Edmund Mach (FEM)San Michele all'AdigeItaly
| | - Luana Bontempo
- Department of Food Quality and Nutrition, Research and Innovation CentreFondazione Edmund Mach (FEM)San Michele all'AdigeItaly
| | - Maura Pellegrini
- Isotope Mass Spectrometry and High Resolution Elemental AnalysisThermo Fisher Scientific S.P.A.RodanoItaly
| | - Federica Camin
- Department of Food Quality and Nutrition, Research and Innovation CentreFondazione Edmund Mach (FEM)San Michele all'AdigeItaly
- Center Agriculture Food Environment (C3A)University of TrentoSan Michele all'AdigeItaly
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16
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Quantification of major royal jelly proteins using ultra performance liquid chromatography tandem triple quadrupole mass spectrometry and application in honey authenticity. J Food Compost Anal 2021. [DOI: 10.1016/j.jfca.2021.103801] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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17
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Chung IM, Kim YJ, Kwon C, Moon HS, Han JG, Kong WS, Kim SH. An origin identification model for labeling of shiitake (Lentinula edodes). NPJ Sci Food 2021; 5:2. [PMID: 33531500 PMCID: PMC7854607 DOI: 10.1038/s41538-021-00085-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Accepted: 01/04/2021] [Indexed: 11/16/2022] Open
Abstract
With the increasing globalization of the food trade across countries and continents, reliable identification of the geographical origin of products is critical. In this study, we describe the limitations of the current origin labeling system for non-soil-based agricultural products and suggest alternative strategies for the identification of the geographical origin of such products. An origin identification model based on stable isotope ratio analysis combined with discriminant analysis is used to evaluate the similarities and dissimilarities between domestic and foreign shiitake mushrooms, including Chinese inoculated sawdust blocks and Chinese origin. The results show a classification sensitivity of 92.0%, classification specificity of 91.5%, and overall accuracy of 93.5%. In particular, δ15N was the most important isotope marker for the identification of the origin of shiitake mushrooms. Hence, the current origin labeling system for mushroom species has to be revised to establish fair trade and avoid improper origin labeling in the global shiitake market.
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Affiliation(s)
- Ill-Min Chung
- Department of Crop Science, College of Sanghuh Life Science, Konkuk University, Seoul, 05029, Republic of Korea
| | - Yun-Ju Kim
- Department of Crop Science, College of Sanghuh Life Science, Konkuk University, Seoul, 05029, Republic of Korea
| | - Chang Kwon
- Department of Crop Science, College of Sanghuh Life Science, Konkuk University, Seoul, 05029, Republic of Korea
| | - Hee-Sung Moon
- Department of Crop Science, College of Sanghuh Life Science, Konkuk University, Seoul, 05029, Republic of Korea
| | - Jae-Gu Han
- National Institute of Horticultural and Herbal Science, Rural Development Administration, Eumseong, 27709, Republic of Korea
| | - Won-Sik Kong
- National Institute of Horticultural and Herbal Science, Rural Development Administration, Eumseong, 27709, Republic of Korea
| | - Seung-Hyun Kim
- Department of Crop Science, College of Sanghuh Life Science, Konkuk University, Seoul, 05029, Republic of Korea.
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18
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Liu T, Ming K, Wang W, Qiao N, Qiu S, Yi S, Huang X, Luo L. Discrimination of honey and syrup-based adulteration by mineral element chemometrics profiling. Food Chem 2020; 343:128455. [PMID: 33129616 DOI: 10.1016/j.foodchem.2020.128455] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2020] [Revised: 10/12/2020] [Accepted: 10/19/2020] [Indexed: 01/17/2023]
Abstract
Mineral elements are important constituents in honey, which play vital roles in determining the quality and authenticity. The present work aims to systematically estimate the mineral profile of honeys, syrups, and adulterated honeys by syrup directly with chemometrics. Twelve mineral elements with higher contents were determined by ICP-OES in 67 honeys from 6 botanical origins, 17 syrups from 3 types, and 61 adulterations. Statistical analysis revealed honey was significantly different and higher than pale syrup in mineral profile except for barium. Five mono-floral models were established based on chemometrics analysis using the sPLS-DA method, and their discrimination accuracy were over 93% Although mineral contents in honeys from different botanical and geographical origins were quite different, the multi-floral model's classify accuracy was 87.7% as well as in blind test. The results revealed that mineral element chemometrics profiling can be a stable and robust tool to differentiate adulterated honey from pure honey.
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Affiliation(s)
- Tao Liu
- School of Life Sciences, Nanchang University, Nanchang 330031, China
| | - Kang Ming
- School of Life Sciences, Nanchang University, Nanchang 330031, China
| | - Wei Wang
- School of Life Sciences, Nanchang University, Nanchang 330031, China
| | - Ning Qiao
- Ganzhou Customs, Ganzhou 341000, China
| | - Shengrong Qiu
- School of Life Sciences, Nanchang University, Nanchang 330031, China
| | - Shengxiang Yi
- School of Life Sciences, Nanchang University, Nanchang 330031, China
| | - Xueyong Huang
- School of Life Sciences, Nanchang University, Nanchang 330031, China; State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, China
| | - Liping Luo
- School of Life Sciences, Nanchang University, Nanchang 330031, China.
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19
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Yang X, Guang P, Xu G, Zhu S, Chen Z, Huang F. Manuka honey adulteration detection based on near-infrared spectroscopy combined with aquaphotomics. Lebensm Wiss Technol 2020. [DOI: 10.1016/j.lwt.2020.109837] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
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20
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Cao G, Li K, Guo J, Lu M, Hong Y, Cai Z. Mass Spectrometry for Analysis of Changes during Food Storage and Processing. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2020; 68:6956-6966. [PMID: 32516537 DOI: 10.1021/acs.jafc.0c02587] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Many physicochemical changes occur during food storage and processing, such as rancidity, hydrolysis, oxidation, and aging, which may alter the taste, flavor, and texture of food products and pose risks to public health. Analysis of these changes has become of great interest to many researchers. Mass spectrometry is a promising technique for the study of food and nutrition domains as a result of its excellent ability in molecular profiling, food authentication, and marker detection. In this review, we summarized recent advances in mass spectrometry techniques and their applications in food storage and processing. Furthermore, current technical challenges associated with these methodologies were discussed.
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Affiliation(s)
- Guodong Cao
- State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Kowloon, Hong Kong Special Administrative Region of the People's Republic of China
| | - Kun Li
- State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Kowloon, Hong Kong Special Administrative Region of the People's Republic of China
- State Key Laboratory of Cotton Biology, Key Laboratory of Plant Stress Biology, School of Life Sciences, Henan University, Kaifeng, Henan 475004, People's Republic of China
| | - Jinggong Guo
- State Key Laboratory of Cotton Biology, Key Laboratory of Plant Stress Biology, School of Life Sciences, Henan University, Kaifeng, Henan 475004, People's Republic of China
| | - Minghua Lu
- State Key Laboratory of Cotton Biology, Key Laboratory of Plant Stress Biology, School of Life Sciences, Henan University, Kaifeng, Henan 475004, People's Republic of China
| | - Yanjun Hong
- State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Kowloon, Hong Kong Special Administrative Region of the People's Republic of China
- HKBU Institute of Research and Continuing Education, Shenzhen, Guangdong 518057, People's Republic of China
| | - Zongwei Cai
- State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Kowloon, Hong Kong Special Administrative Region of the People's Republic of China
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21
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Non-targeted method to detect honey adulteration: Combination of electrochemical and spectrophotometric responses with principal component analysis. J Food Compost Anal 2020. [DOI: 10.1016/j.jfca.2020.103466] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
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22
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Evaluation of honey in terms of quality and authenticity based on the general physicochemical pattern, major sugar composition and δ13C signature. Food Control 2020. [DOI: 10.1016/j.foodcont.2019.106919] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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23
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Untargeted headspace gas chromatography – Ion mobility spectrometry analysis for detection of adulterated honey. Talanta 2019; 205:120123. [DOI: 10.1016/j.talanta.2019.120123] [Citation(s) in RCA: 46] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2019] [Revised: 07/03/2019] [Accepted: 07/05/2019] [Indexed: 11/24/2022]
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24
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Heart-cutting two-dimensional liquid chromatography combined with isotope ratio mass spectrometry for the determination of stable carbon isotope ratios of gluconic acid in honey. J Chromatogr A 2019; 1608:460421. [PMID: 31405574 DOI: 10.1016/j.chroma.2019.460421] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2019] [Revised: 07/02/2019] [Accepted: 08/03/2019] [Indexed: 11/21/2022]
Abstract
Liquid chromatography/isotope ratio mass spectrometry (LC/IRMS) is used to analyze various types of samples, including foodstuffs, to determine their authenticity and trace their origin on the basis of their stable carbon isotope ratios (δ13C). However, multicomponent samples are difficult to analyze. For example, determining the δ13C values of the organic acids in honey is complicated by the presence of large amounts of carbohydrates. Herein, we present a heart-cutting two-dimensional LC/IRMS method for analysis of honey samples. In this method, the organic acids in the samples were first separated from the carbohydrates by a size-exclusion column, and then the organic acids were separated from each other by a reverse-phase column connected to the first column via a switching valve. By means of this method, the δ13C values for three organic acids in high-carbohydrate-content simulated honey samples could be determined with high accuracy and precision (≤0.3‰ and ≤0.1‰, respectively). In addition, the gluconic acid δ13C values for 25 honey samples were determined with high precision and found to range from -31.7 to -28.5‰ (mean: -30.0 ± 0.7‰). These values shed some light on the mechanism of gluconic acid production. Taken together, our results suggest that this two-dimensional LC method has the potential to be more effective than one-dimensional LC for use in isotopic research.
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25
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26
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Park JH, Choi SH, Bong YS. Geographical origin authentication of onions using stable isotope ratio and compositions of C, H, O, N, and S. Food Control 2019. [DOI: 10.1016/j.foodcont.2019.02.023] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
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27
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Dong H, Xiao K, Morais MC, Martinelli LA. Discussion about stable carbon isotopic composition indicates large presence of maize in Brazilian soy sauces (shoyu)Response to “Discussion about stable carbon isotopic composition indicates large presence of maize in Brazilian soy sauces (shoyu)”. J Food Compost Anal 2019. [DOI: 10.1016/j.jfca.2018.12.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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28
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Kawashima H, Suto M, Suto N. Stable carbon isotope ratios for organic acids in commercial honey samples. Food Chem 2019; 289:49-55. [PMID: 30955640 DOI: 10.1016/j.foodchem.2019.03.053] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2018] [Revised: 03/10/2019] [Accepted: 03/11/2019] [Indexed: 11/16/2022]
Abstract
Stable carbon isotope ratios (δ13C) for glucose, fructose, disaccharides, trisaccharides, and organic acids in 116 commercial honey samples were measured by LC/IRMS. On the basis of EA/IRMS and LC/IRMS authenticity criteria, 39 of the samples were judged to have been adulterated. The δ13C values for organic acids from pure honey, reported here for the first time, ranged from -33.6 to -26.5‰. The mean Δδ13C (glucose-organic acids) value was +3.7 ± 0.9‰. Glucose and organic acid δ13C values were strongly correlated (R = 0.71, P < 0.001). Gluconic acid, the predominant organic acid in honey, has been reported to be produced via decomposition of glucose by bee glucose-oxidase and certain Gluconobacter spp. This fact was confirmed by isotope analysis.
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Affiliation(s)
- Hiroto Kawashima
- Department of Management Science and Engineering, Faculty of Systems Science and Technology, Akita Prefectural University, 84-4, Ebinokuchi, Tuchiya, Yuri-Honjyo, Akita 015-0055, Japan.
| | - Momoka Suto
- Department of Management Science and Engineering, Faculty of Systems Science and Technology, Akita Prefectural University, 84-4, Ebinokuchi, Tuchiya, Yuri-Honjyo, Akita 015-0055, Japan
| | - Nana Suto
- Department of Management Science and Engineering, Faculty of Systems Science and Technology, Akita Prefectural University, 84-4, Ebinokuchi, Tuchiya, Yuri-Honjyo, Akita 015-0055, Japan.
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29
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Berriel V, Perdomo CH. Differentiating pasture honey from eucalyptus honey based on carbon isotopic data in Uruguay. Heliyon 2019; 5:e01228. [PMID: 30899822 PMCID: PMC6407147 DOI: 10.1016/j.heliyon.2019.e01228] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2018] [Revised: 01/23/2019] [Accepted: 02/08/2019] [Indexed: 11/29/2022] Open
Abstract
To avoid false declarations of geographic and botanical honey origin, traceability should be based on analytical data, which could then be processed by multivariate statistical methods. Obtaining this data, however, is costly and time consuming. Thus, it would be more convenient to acquire this information from routine trials, for example from the analysis for determination of high fructose corn syrup (HFCS) concentration in honey. The availability of a procedure of this kind in Uruguay would be useful in discriminating between honeys from grasslands to that from eucalyptus, the two main floral sources for commercial production. To this effect, honey samples (47 from pastures and 42 from eucalypts) were analyzed for δ13C in both honey and its protein fraction. We identified a logistic regression model that allowed us to correctly assign 90% of the training samples, using δ13C data of honey, protein fraction, and the isotopic index as variables. This model was then validated, obtaining 100% correct allocation for honeys from pasture and 90% for honeys from eucalyptus. Moreover, we found that this information could also be used to establish adulteration with HFCS based on a local stricter cut-off limit than that of -1.0‰ of the international index.
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Affiliation(s)
- Verónica Berriel
- Centre for Applications of Nuclear Technology in Sustainable Agriculture, Soil and Water Department, Agronomy College, University of the Republic, Av. Garzón 809, CP 12.900, Montevideo, Uruguay
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30
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Zhang Y, Chen Y, Cai Y, Cui Z, Zhang J, Wang X, Shen L. Novel polyclonal antibody-based rapid gold sandwich immunochromatographic strip for detecting the major royal jelly protein 1 (MRJP1) in honey. PLoS One 2019; 14:e0212335. [PMID: 30779780 PMCID: PMC6380560 DOI: 10.1371/journal.pone.0212335] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2018] [Accepted: 01/31/2019] [Indexed: 11/25/2022] Open
Abstract
Honey adulteration is becoming increasingly alarming incidents in food safety. Monitoring and detecting adulteration face greater challenges. Honey contains the major royal jelly proteins (MRJP) secreted by bee workers. To detect honey adulteration fast and accurately, a rapid gold sandwich immunochromatographic strip (GSIS) was developed based on two specific polyclonal antibodies (PoAbs) against the MRJP1, the most abundant protein of all MRJPs. We determined the best of pH value (pH 8.6) and PoAb SP-1 amount (5 μg/mL) in conjunction with colloidal. The cut-off value (sensitivity) of GSIS in detecting MRJP1 is 2.0 μg/mL in solution. Validation analysis with RJ, milk vetch honey, acacia honey and honey adulteration containing rice syrup and corn syrup with different ratios demonstrated that the GSIS could show consistent Test line (T line) when the test samples contain more than 30% pure honey or MRJP1 0.4 mg/g. The validation results by isotope ratio mass spectrometry on the same pure and all adulteration milk vetch honey samples showed the same information of GSIS test. The qualitative assay GSIS provided a valuable new way for honey authenticity and laid the foundation for the future application of GSIS with monoclonal antibodies in honey authentication.
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Affiliation(s)
- Yifan Zhang
- Department of Food Science and Nutrition, Zhejiang Key Laboratory for Agro-Food Processing, Zhejiang University, Hangzhou, Zhejiang, China
| | - Yong Chen
- Department of Food Science and Nutrition, Zhejiang Key Laboratory for Agro-Food Processing, Zhejiang University, Hangzhou, Zhejiang, China
| | - Yiting Cai
- Department of Food Science and Nutrition, Zhejiang Key Laboratory for Agro-Food Processing, Zhejiang University, Hangzhou, Zhejiang, China
| | - Zongyan Cui
- Qinhuangdao Entry–Exit Inspection and Quarantine Bureau, Qinhuangdao, Hebei, China
| | - Jinjie Zhang
- Qinhuangdao Entry–Exit Inspection and Quarantine Bureau, Qinhuangdao, Hebei, China
| | - Xiaohou Wang
- Department of Food Science and Nutrition, Zhejiang Key Laboratory for Agro-Food Processing, Zhejiang University, Hangzhou, Zhejiang, China
| | - Lirong Shen
- Department of Food Science and Nutrition, Zhejiang Key Laboratory for Agro-Food Processing, Zhejiang University, Hangzhou, Zhejiang, China
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31
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Chung IM, Kim JK, Yarnes CT, An YJ, Kwon C, Kim SY, Yang YJ, Chi HY, Kim SH. Fatty Acid- and Amino Acid-Specific Isotope Analysis for Accurate Authentication and Traceability in Organic Milk. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2019; 67:711-722. [PMID: 30543294 DOI: 10.1021/acs.jafc.8b05063] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
The present study describes compound-specific δ13C and δ15N analyses of fatty acids and amino acids for improving the accurate authentication of organic milk (OM) against conventional milk (CM) collected in Korea. Most δ13Cfatty-acid and δ13Camino-acid values were lower in OM than in CM ( P < 0.05); however, most δ15Namino-acid values displayed weak discriminative power for OM authentication. Higher isotopic fractionation was observed in δ13Cfatty-acid than in δ13Camino-acid and δ15Namino-acid, with fractionation trends differing with individual amino acids. In particular, δ13Clinoleic-acid of -33.5‰ and δ13Cmyristic-acid of -28‰ were determined to be promising year-round threshold values for Korean OM authentication. The δ13Cbulk was highly correlated with δ13CAla ( r = 0.92) and δ13Coleic-acid, trans ( r = 0.77), and strong positive correlations were observed between δ13CVal and δ13CIle ( r = 0.98) and between δ15NThr and δ15NSer ( r = 0.90). Chemometric modeling for OM authentication produced a high quality model ( R2 X = 0.547, R2 Y = 0.865, and Q2 = 0.689) with reliable chemical markers, notably δ13Cmyristic-acid, δ13Clinoleic-acid, and δ13Cstearic-acid. Furthermore, the models developed for seasonal separation in OM ( Q2 = 0.954) and CM ( Q2 = 0.791) were of good quality. Our findings, based on compound-specific isotope data, improve the reliability of OM authentication in cases where bulk stable isotope ratio analysis alone is insufficient. They also provide valuable insight into the control of fraudulent OM labeling in Korea, with potential application in other countries.
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Affiliation(s)
- Ill-Min Chung
- Department of Crop Science, College of Sanghuh Life Science , Konkuk University , Seoul 05029 , Republic of Korea
| | - Jae-Kwang Kim
- Division of Life Sciences, College of Life Sciences and Bioengineering , Incheon National University , Incheon 406-772 , Republic of Korea
| | - Christopher T Yarnes
- UC Davis Stable Isotope Facility , University of California, Davis , 1 Shields Avenue , Davis , California 95616 , United States
| | - Yeon-Ju An
- Department of Crop Science, College of Sanghuh Life Science , Konkuk University , Seoul 05029 , Republic of Korea
| | - Chang Kwon
- Department of Crop Science, College of Sanghuh Life Science , Konkuk University , Seoul 05029 , Republic of Korea
| | - So-Yeon Kim
- Department of Crop Science, College of Sanghuh Life Science , Konkuk University , Seoul 05029 , Republic of Korea
| | - Yu-Jin Yang
- Department of Crop Science, College of Sanghuh Life Science , Konkuk University , Seoul 05029 , Republic of Korea
| | - Hee-Youn Chi
- Department of Crop Science, College of Sanghuh Life Science , Konkuk University , Seoul 05029 , Republic of Korea
| | - Seung-Hyun Kim
- Department of Crop Science, College of Sanghuh Life Science , Konkuk University , Seoul 05029 , Republic of Korea
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32
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She S, Chen L, Song H, Lin G, Li Y, Zhou J, Liu C. Discrimination of geographical origins of Chinese acacia honey using complex 13C/12C, oligosaccharides and polyphenols. Food Chem 2019; 272:580-585. [DOI: 10.1016/j.foodchem.2018.07.227] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2018] [Revised: 07/25/2018] [Accepted: 07/25/2018] [Indexed: 10/28/2022]
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Bargańska Ż, Konieczka P, Namieśnik J. Comparison of Two Methods for the Determination of Selected Pesticides in Honey and Honeybee Samples. Molecules 2018; 23:molecules23102582. [PMID: 30304845 PMCID: PMC6222677 DOI: 10.3390/molecules23102582] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2018] [Revised: 10/04/2018] [Accepted: 10/07/2018] [Indexed: 12/18/2022] Open
Abstract
Developed and validated analytical methods for the determination of a wide spectrum of pesticide residues in honey and honeybee samples after the modification of QuEChERS extraction in combination with gas chromatography–tandem quadrupole mass spectrometry (GC-MS/MS) and liquid chromatography–tandem quadrupole mass spectrometry (LC-MS/MS) were discussed and compared. The developed methods were evaluated regarding the utilized equipment and reagents using Eco-Scale and compared in terms of extraction time, accuracy, precision, sensitivity and versatility, with similar procedures. The results proved that the QuEChERS protocol in combination with LC and GC techniques fulfills the requirements of green analytical chemistry, so it can be used as a tool in environmental monitoring. The recovery was 85–116% for honey and 85.5–103.5% for honeybee samples. The developed methods were successfully applied in monitoring real samples collected from three districts of Pomerania in Poland. Analysis of real samples revealed the presence of the following pesticides: bifenthrin, fenpyroximate, methidathione, spinosad, thiamethoxam, triazophos, metconazole and cypermethrin at levels higher than the MRLs established by the EU.
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Affiliation(s)
- Żaneta Bargańska
- Department of Analytical Chemistry, Faculty of Chemistry, Gdańsk University of Technology (GUT), Narutowicza 11/12 street, 80-233 Gdańsk, Poland.
| | - Piotr Konieczka
- Department of Analytical Chemistry, Faculty of Chemistry, Gdańsk University of Technology (GUT), Narutowicza 11/12 street, 80-233 Gdańsk, Poland.
| | - Jacek Namieśnik
- Department of Analytical Chemistry, Faculty of Chemistry, Gdańsk University of Technology (GUT), Narutowicza 11/12 street, 80-233 Gdańsk, Poland.
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34
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Zhou X, Taylor MP, Salouros H, Prasad S. Authenticity and geographic origin of global honeys determined using carbon isotope ratios and trace elements. Sci Rep 2018; 8:14639. [PMID: 30279546 PMCID: PMC6168535 DOI: 10.1038/s41598-018-32764-w] [Citation(s) in RCA: 49] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2018] [Accepted: 09/14/2018] [Indexed: 01/07/2023] Open
Abstract
Honey is the world's third most adulterated food. The addition of cane sugar or corn syrup and the mislabelling of geographic origin are common fraudulent practices in honey markets. This study examined 100 honey samples from Australia (mainland and Tasmania) along with 18 other countries covering Africa, Asia, Europe, North America and Oceania. Carbon isotopic analyses of honey and protein showed that 27% of commercial honey samples tested were of questionable authenticity. The remaining 69 authentic samples were subject to trace element analysis for geographic determination. One-way ANOVA analysis showed a statistical difference (p < 0.05) in trace element concentrations of honey from Australian regions and different continents. Principal component analysis (PCA) and canonical discriminant analysis (CDA) coupled with C5.0 classification modelling of honey carbon isotopes and trace element concentrations showed distinct clusters according to their geographic origin. The C5.0 model revealed trace elements Sr, P, Mn and K can be used to differentiate honey according to its geographic origin. The findings show the common and prevalent issues of honey authenticity and the mislabelling of its geographic origin can be identified using a combination of stable carbon isotopes and trace element concentrations.
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Affiliation(s)
- Xiaoteng Zhou
- Department of Environmental Sciences, Faculty of Science and Engineering, Macquarie University, North Ryde, Sydney, New South Wales, 2109, Australia.
| | - Mark Patrick Taylor
- Department of Environmental Sciences, Faculty of Science and Engineering, Macquarie University, North Ryde, Sydney, New South Wales, 2109, Australia.
- Energy and Environmental Contaminants Research Centre, Macquarie University, North Ryde, Sydney, New South Wales, 2109, Australia.
| | - Helen Salouros
- Australian Forensic Drug Laboratory, National Measurement Institute, North Ryde, Sydney, New South Wales, 2113, Australia
| | - Shiva Prasad
- Analytical Service Branch, National Measurement Institute, North Ryde, Sydney, New South Wales, 2113, Australia
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35
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Development and comparison of single-step solid phase extraction and QuEChERS clean-up for the analysis of 7 mycotoxins in fruits and vegetables during storage by UHPLC-MS/MS. Food Chem 2018; 274:471-479. [PMID: 30372967 DOI: 10.1016/j.foodchem.2018.09.035] [Citation(s) in RCA: 101] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2018] [Revised: 09/03/2018] [Accepted: 09/04/2018] [Indexed: 01/16/2023]
Abstract
A robust and sensitive UHPLC-MS/MS method was developed for the analysis of seven mycotoxins in fruits and vegetables. The variations of seven mycotoxins concentrations during storage were also determined for the first time. Solid phase extraction (SPE) and QuEChERS clean-up were compared, and extraction was finally performed with acetonitrile under acidic conditions followed by HLB SPE purification. Seven mycotoxins were separated on a C18 column by gradient elution, scanned by ESI+ and ESI- dynamic switching and detected with MRM mode. LOD and LOQ, matrix effect, accuracy and precision of the developed method were investigated. Results were linear in their concentration ranges for all mycotoxins with R2 being greater than 0.999. LODs and LOQs were ranged from 0.05 to 3.0 μg/kg and 0.2 to 10.0 μg/kg, respectively. Average recoveries were between 81.1% and 116% with intraday- and interday-precision being in the ranges of 3.0-6.2% and 4.2-6.1%, respectively. The validated method provides sufficient selectivity, sensitivity and accuracy to screen for seven mycotoxins at trace levels, without using standard addition or matrix-matched calibration to compensate for matrix effects. The method was successfully applied for mycotoxins analysis in fruits and vegetables. None were detected in fresh samples, but AOH and AME were detected in strawberry, and TeA was detected in tomato fruits during long-term storage. Their concentrations were in the range of 3.6-165.3 μg/kg from 3 days to 60 days and significantly increased along with storage time.
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36
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Kukusamude C, Kongsri S. Elemental and isotopic profiling of Thai jasmine rice (Khao Dawk Mali 105) for discrimination of geographical origins in Thung Kula Rong Hai area, Thailand. Food Control 2018. [DOI: 10.1016/j.foodcont.2018.04.018] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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37
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Zhang X, Xian Y, Li H, Huang BX, Liang M, Chen J. Rapid determination of hexavalent chromium in textiles by a novel ammonium pyrrolidine dithiocarbamate derivatization combined with UHPLC-MS/MS. J Sep Sci 2018; 41:3583-3589. [PMID: 30048047 DOI: 10.1002/jssc.201800563] [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: 05/22/2018] [Revised: 07/16/2018] [Accepted: 07/21/2018] [Indexed: 11/11/2022]
Abstract
Hexavalent chromium is mainly determined by traditional spectrophotometry, atomic absorption spectrometry, and ion chromatography methods. In the present work, a reliable ultra high performance liquid chromatography with tandem mass spectrometry method was firstly developed for the determination of hexavalent chromium in textiles. The sample was extracted by acetic acid/sodium acetate buffer solution and followed by derivatization with ammonium pyrrolidine dithiocarbamate. The resulting derivative product was extracted by ethyl acetate, separated on a C18 column, and detected through electrospray ionization source in the positive mode with multiple reaction monitoring conditions. The derivatization reaction conditions were investigated and optimized. The developed method was validated in terms of the sensitivity, linearity range, matrix effects, recovery, accuracy, intra- and interday precision. Results showed that the calibration curves of pure solvent and matrix were linear over the selected concentration ranges of 0.1-20.0 μg/L. The achieved instrument and method limit of quantification were 0.1 and 40.0 μg/kg, respectively. Recoveries were calculated at three spiked concentrations and the values were between 92.2 and 103% with relative standard deviation values of 2.7-4.9% for intra-day precision and 6.1% for inter-day precision. Successful analysis of hexavalent chromium in practical textiles indicated that there was hexavalent chromium contamination in textiles.
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Affiliation(s)
- Xiaoli Zhang
- Guangdong Inspection and Quarantine Technology Center, Guangzhou, China
| | - Yanping Xian
- Guangzhou Quality Supervision and Testing Institute, Guangzhou, China
| | - Hui Li
- Guangdong Inspection and Quarantine Technology Center, Guangzhou, China
| | - Bo-Xi Huang
- Guangdong Inspection and Quarantine Technology Center, Guangzhou, China
| | - Ming Liang
- Guangzhou Quality Supervision and Testing Institute, Guangzhou, China
| | - Jiefeng Chen
- Guangzhou Quality Supervision and Testing Institute, Guangzhou, China
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38
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Determination of geographical origin of commercial tomato through analysis of stable isotopes, elemental composition and chemical markers. Food Control 2018. [DOI: 10.1016/j.foodcont.2017.11.013] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
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39
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Characterizations of stable carbon and nitrogen isotopic ratios in wheat fractions and their feasibility for geographical traceability: A preliminary study. J Food Compost Anal 2018. [DOI: 10.1016/j.jfca.2018.01.009] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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40
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Kędzierska-Matysek M, Matwijczuk A, Florek M, Barłowska J, Wolanciuk A, Matwijczuk A, Chruściel E, Walkowiak R, Karcz D, Gładyszewska B. Application of FTIR spectroscopy for analysis of the quality of honey. BIO WEB OF CONFERENCES 2018. [DOI: 10.1051/bioconf/20181002008] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Every kind of honey is a very precious natural product which is made by Mellifera bees species. The chemical composition of honey depends on its origin or mode of production. Honey consists essentially of different sugars, predominantly fructose and glucose. There are also non – sugar ingredients like proteins and amino acids, as well as some kind of enzymes, such as: invertase, amylase, glucose oxidase, catalase and phosphatase. The fact that honey is one of the oldest medicine known worldwide is remarkable. Scientists all over the world have been trying to improve analytical methods as well as to implement new ones in order to reaffirm the high quality of honey the benefits of which may be distracted or disturbed. There are many methods and popular analytical techniques, including as follows: mass spectroscopy and molecular spectroscopy (especially FTIR spectroscopy). The infrared spectroscopy technique is one of the most common analytical methods which are used to analyse honey nowadays. The main aim of the task was to use ATR-FTIR infrared spectroscopy to compare selected honey samples as well as typical sequences coming out from certain functional groups in the analysed samples.
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41
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Rodríguez-Bermúdez R, López-Alonso M, Miranda M, Fouz R, Orjales I, Herrero-Latorre C. Chemometric authentication of the organic status of milk on the basis of trace element content. Food Chem 2018; 240:686-693. [DOI: 10.1016/j.foodchem.2017.08.011] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2017] [Revised: 07/26/2017] [Accepted: 08/02/2017] [Indexed: 10/19/2022]
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42
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Xian Y, Guo X, Hou X, Wang L, Wu Y, Chen L, Dong H, Wang B. A modified quick, easy, cheap, effective, rugged, and safe cleanup method followed by liquid chromatography-tandem mass spectrometry for the rapid analysis of perchlorate, bromate and hypophosphite in flour. J Chromatogr A 2017; 1526:31-38. [DOI: 10.1016/j.chroma.2017.10.047] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2017] [Revised: 10/17/2017] [Accepted: 10/19/2017] [Indexed: 10/18/2022]
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43
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Dong H, Xiao K, Xian Y, Wu Y. Authenticity determination of honeys with non-extractable proteins by means of elemental analyzer (EA) and liquid chromatography (LC) coupled to isotope ratio mass spectroscopy (IRMS). Food Chem 2017; 240:717-724. [PMID: 28946334 DOI: 10.1016/j.foodchem.2017.08.008] [Citation(s) in RCA: 78] [Impact Index Per Article: 11.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2017] [Revised: 07/14/2017] [Accepted: 08/01/2017] [Indexed: 10/19/2022]
Abstract
The present work aims to systematically demonstrate the authenticity of honeys with non-extractable proteins for the first time, by means of EA-IRMS and LC-IRMS. Fifty-three pure honeys of various botanical and geographical origins were studied and a criterion on the basis of the stable carbon isotope ratio characterization of total honey and the main sugars was established for pure honeys. Parameters such as δ13C values of total honey and the main sugars were well utilized to identify honeys with non-extractable proteins. Thirty-five honeys from which protein could not be extracted were all identified as adulterated with C-4 sugars or C-3 sugars. The use of isotopic compositions and some systematic differences permit the honeys with non-extractable proteins to be reliably identified. The findings obtained in this work could supplement the AOAC 998.12 C-4 sugar method, with regard to honeys from which protein cannot be extracted.
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Affiliation(s)
- Hao Dong
- School of Food Science and Technology, South China University of Technology, Guangzhou 510640, China
| | - Kaijun Xiao
- School of Food Science and Technology, South China University of Technology, Guangzhou 510640, China.
| | - Yanping Xian
- Guangzhou Quality Supervision and Testing Institute, National Centre for Quality Supervision and Testing of Processed Food (Guangzhou), Guangzhou 511447, China
| | - Yuluan Wu
- Guangzhou Quality Supervision and Testing Institute, National Centre for Quality Supervision and Testing of Processed Food (Guangzhou), Guangzhou 511447, China
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Soares S, Amaral JS, Oliveira MBP, Mafra I. A Comprehensive Review on the Main Honey Authentication Issues: Production and Origin. Compr Rev Food Sci Food Saf 2017; 16:1072-1100. [DOI: 10.1111/1541-4337.12278] [Citation(s) in RCA: 142] [Impact Index Per Article: 20.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2017] [Revised: 05/18/2017] [Accepted: 05/27/2017] [Indexed: 11/30/2022]
Affiliation(s)
- Sónia Soares
- REQUIMTE-LAQV, Faculdade de Farmácia; Univ. do Porto; Porto Portugal
| | - Joana S. Amaral
- REQUIMTE-LAQV, Faculdade de Farmácia; Univ. do Porto; Porto Portugal
- Escola Superior de Tecnologia e Gestão; Inst. Politécnico de Bragança; Bragança Portugal
| | | | - Isabel Mafra
- REQUIMTE-LAQV, Faculdade de Farmácia; Univ. do Porto; Porto Portugal
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45
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Chung IM, Kim JK, Lee JH, An MJ, Lee KJ, Park SK, Kim JU, Kim MJ, Kim SH. C/N/O/S stable isotopic and chemometric analyses for determining the geographical origin of Panax ginseng cultivated in Korea. J Ginseng Res 2017; 42:485-495. [PMID: 30337809 PMCID: PMC6187101 DOI: 10.1016/j.jgr.2017.06.001] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2017] [Revised: 06/07/2017] [Accepted: 06/08/2017] [Indexed: 11/16/2022] Open
Abstract
Background The geographical origin of Panax ginseng Meyer, a valuable medicinal plant, is important to both ginseng producers and consumers in the context of economic profit and human health benefits. We, therefore, aimed to discriminate between the cultivation regions of ginseng using the stable isotope ratios of C, N, O, and S, which are abundant bioelements in living organisms. Methods Six Korean ginseng cultivars (3-yr-old roots) were collected from five different regions in Korea. The C, N, O, and S stable isotope ratios in ginseng roots were measured by isotope ratio mass spectrometry, and then these isotope ratio profiles were statistically analyzed using chemometrics. Results The various isotope ratios found in P. ginseng roots were significantly influenced by region, cultivar, and the interactions between these two factors (p ≤ 0.001). The variation in δ15N and δ13C in ginseng roots was significant for discriminating between different ginseng cultivation regions, and δ18O and δ34S were also affected by both altitude and proximity to coastal areas. Chemometric model results tested in this study provided discrimination between the majority of different cultivation regions. Based on the external validation, this chemometric model also showed good model performance (R2 = 0.853 and Q2 = 0.738). Conclusion Our case study elucidates the variation of C, N, O, and S stable isotope ratios in ginseng root depending on cultivation region. Hence, the analysis of stable isotope ratios is a suitable tool for discrimination between the regional origins of ginseng samples from Korea, with potential application to other countries.
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Affiliation(s)
- Ill-Min Chung
- Department of Crop Science, College of Sanghuh Life Science, Konkuk University, Seoul, Republic of Korea
| | - Jae-Kwang Kim
- Division of Life Sciences, College of Life Sciences and Bioengineering, Incheon National University, Incheon, Republic of Korea
| | - Ji-Hee Lee
- Department of Crop Science, College of Sanghuh Life Science, Konkuk University, Seoul, Republic of Korea
| | - Min-Jeong An
- Department of Crop Science, College of Sanghuh Life Science, Konkuk University, Seoul, Republic of Korea
| | - Kyoung-Jin Lee
- Department of Crop Science, College of Sanghuh Life Science, Konkuk University, Seoul, Republic of Korea
| | - Sung-Kyu Park
- Department of Crop Science, College of Sanghuh Life Science, Konkuk University, Seoul, Republic of Korea
| | - Jang-Uk Kim
- Department of Herbal Crop Research, National Institute of Horticultural and Herbal Science, Rural Development Administration, Eumseong, Republic of Korea
| | - Mi-Jung Kim
- R&D Coordination Division, Rural Development Administration, Jeonju, Republic of Korea
| | - Seung-Hyun Kim
- Department of Crop Science, College of Sanghuh Life Science, Konkuk University, Seoul, Republic of Korea
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46
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High-Throughput Determination of 30 Veterinary Drug Residues in Milk Powder by Dispersive Solid-Phase Extraction Coupled with Ultra-High Performance Liquid Chromatography Tandem Mass Spectrometry. FOOD ANAL METHOD 2017. [DOI: 10.1007/s12161-017-0941-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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47
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Dong H, Xiao K, Xian Y. Isotope Ratio Mass Spectrometry Coupled to Element Analyzer and Liquid Chromatography to Identify Commercial Honeys of Various Botanical Types. FOOD ANAL METHOD 2017. [DOI: 10.1007/s12161-017-0842-1] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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48
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Dong H, Yang X, He J, Cai S, Xiao K, Zhu L. Enhanced antioxidant activity, antibacterial activity and hypoglycemic effect of luteolin by complexation with manganese(ii) and its inhibition kinetics on xanthine oxidase. RSC Adv 2017. [DOI: 10.1039/c7ra11036g] [Citation(s) in RCA: 37] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023] Open
Abstract
A coordination compound with enhanced biological activities was synthesized with luteolin and manganese(ii) cation. The inhibition effect assay found that the complex reversibly inhibited xanthine oxidase in a competitive manner.
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Affiliation(s)
- Hao Dong
- School of Food Science and Technology
- South China University of Technology
- Guangzhou 510640
- People's Republic of China
| | - Xiaocui Yang
- School of Food Science and Technology
- South China University of Technology
- Guangzhou 510640
- People's Republic of China
| | - Jiapeng He
- School of Food Science and Technology
- South China University of Technology
- Guangzhou 510640
- People's Republic of China
| | - Sheng Cai
- School of Food Science and Technology
- South China University of Technology
- Guangzhou 510640
- People's Republic of China
| | - Kaijun Xiao
- School of Food Science and Technology
- South China University of Technology
- Guangzhou 510640
- People's Republic of China
| | - Liang Zhu
- School of Food Science and Technology
- South China University of Technology
- Guangzhou 510640
- People's Republic of China
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49
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Dong H, Xiao K, Luo D. Stability of carbon and nitrogen isotopic compositions of the protein extracted from milk and their potential as “fingerprints” of geographical origin. RSC Adv 2017. [DOI: 10.1039/c7ra00722a] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
The present work aimed to determine whether isotopic compositions can be used as “fingerprints” in identifying the geographical origin of milk.
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Affiliation(s)
- Hao Dong
- School of Food Science and Technology
- South China University of Technology
- Guangzhou 510640
- China
| | - Kaijun Xiao
- School of Food Science and Technology
- South China University of Technology
- Guangzhou 510640
- China
| | - Donghui Luo
- Guangzhou Healthy Food Technology Co., Ltd
- Guangzhou
- China
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