1
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Yang J, Liu Y, Cui Z, Wang T, Liu T, Liu G. Analysis of Free Amino Acid Composition and Honey Plant Species in Seven Honey Species in China. Foods 2024; 13:1065. [PMID: 38611369 PMCID: PMC11011401 DOI: 10.3390/foods13071065] [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: 03/05/2024] [Revised: 03/23/2024] [Accepted: 03/28/2024] [Indexed: 04/14/2024] Open
Abstract
Honey is well-known as a food product that is rich in active ingredients and is very popular among consumers. Free amino acids (FAAs) are one of the important nutritional components of honey, which can be used not only as a nutritional indicator of honey but also as an indicator of plant source identification. In this study, the contents of 20 FAAs in seven types of honey from 11 provinces in China were examined for the first time. The 20 FAAs were analyzed by ultra-performance liquid chromatography-mass spectrometry/mass spectrometry (UPLC-MS/MS). By analyzing 93 honey samples from seven types of honey, the FAAs were found to range from 394.4 mg/kg (linden honey) to 1771.7 mg/kg (chaste honey). Proline ranged from 274.55 to 572.48 mg/kg, and methionine was only present in some of the linden honey, chaste honey, acacia honey, and rape honey. Evaluated by amino acid principal component analysis, multifloral grassland honey had the highest overall evaluation score, acacia and jujube honey were the most similar, while chaste honey was the least similar to the other types of honey. In addition, DNA was extracted from 174 Xinjiang grassland honey samples and different plant leaves for PCR and sequencing to identify the species of nectar plants. As a result, 12 families and 25 species of honey plants were identified. The results confirmed the diversity of FAAs in dissimilar types and sources of honey. This study provides a reference for expanding honey quality standards and verifying the authenticity of honey.
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Affiliation(s)
- Jialin Yang
- College of Life Science, Shihezi University, Shihezi 832003, China;
- Xinjiang Production and Construction Corps Key Laboratory of Oasis Town and Mountain-Basin System Ecology, Shihezi 832003, China
| | - Yihui Liu
- College of Bioscience and Biotechnology, Hunan Agricultural University, Changsha 410128, China;
| | - Zongyan Cui
- Technology Center of Qinhuangdao Customs, Qinhuangdao 066004, China; (Z.C.); (T.W.)
| | - Taohong Wang
- Technology Center of Qinhuangdao Customs, Qinhuangdao 066004, China; (Z.C.); (T.W.)
| | - Tong Liu
- College of Life Science, Shihezi University, Shihezi 832003, China;
- Xinjiang Production and Construction Corps Key Laboratory of Oasis Town and Mountain-Basin System Ecology, Shihezi 832003, China
| | - Gang Liu
- College of Bioscience and Biotechnology, Hunan Agricultural University, Changsha 410128, China;
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2
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Fuentes CA, Öztop MH, Rojas-Rioseco M, Bravo M, Göksu AÖ, Manley M, Castillo RDP. Application of segmented analysis via multivariate curve resolution with alternating least squares to 1H-nuclear magnetic resonance spectroscopy to identify different sugar sources. Food Chem 2023; 428:136817. [PMID: 37459678 DOI: 10.1016/j.foodchem.2023.136817] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 06/19/2023] [Accepted: 07/03/2023] [Indexed: 07/31/2023]
Abstract
The different types of sugar employed in the food industry exhibit chemical similarity and are mostly dominated by sucrose. Owing to the sugar origin of and differences in production, the presence of certain minor organic compounds differs. To differentiate between sugars based on their botanical source, geographical origin, or storage conditions, commercial brown sugars and sugar beet extracts were analyzed by 1H NMR spectroscopy applying a segmented analysis by means of multivariate curve resolution-alternating least squares (MCR-ALS). Principal component analysis and partial least squares-discriminant analysis yielded excellent differentiation between sugars from different sources after the application of this preprocessing strategy; without loss of chemical information and with direct interpretation of the results. By applying a segmented analysis via MCR-ALS to 1H NMR sugar data, similar spectroscopic profiles could be differentiated. This improved the selectivity of 1H NMR spectroscopy for sugar source differentiation which can be useful for industrial sugar authentication purposes.
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Affiliation(s)
- Cristian A Fuentes
- Departamento de Análisis Instrumental, Facultad de Farmacia, Universidad de Concepción, Concepción 4070386, Chile; Laboratorio de Bioespectroscopia y Quimiometría (BioSpeQ), Centro de Biotecnología, Universidad de Concepción, Concepción 4070386, Chile
| | - Mecit Halil Öztop
- Department of Food Engineering, Middle East Technical University, Ankara 06800, Turkey
| | - Macarena Rojas-Rioseco
- Departamento de Análisis Instrumental, Facultad de Farmacia, Universidad de Concepción, Concepción 4070386, Chile; Laboratorio de Bioespectroscopia y Quimiometría (BioSpeQ), Centro de Biotecnología, Universidad de Concepción, Concepción 4070386, Chile
| | - Martín Bravo
- Departamento de Análisis Instrumental, Facultad de Farmacia, Universidad de Concepción, Concepción 4070386, Chile; Laboratorio de Bioespectroscopia y Quimiometría (BioSpeQ), Centro de Biotecnología, Universidad de Concepción, Concepción 4070386, Chile
| | - Aylin Özgür Göksu
- Kayseri Sugar R&D Center, Kayseri Sugar Factory, Kayseri 38070, Turkey
| | - Marena Manley
- Deparment of Food Science, Stellenbosch University, Private Bag X1, Matieland (Stellenbosch) 7602, South Africa.
| | - Rosario Del P Castillo
- Departamento de Análisis Instrumental, Facultad de Farmacia, Universidad de Concepción, Concepción 4070386, Chile; Laboratorio de Bioespectroscopia y Quimiometría (BioSpeQ), Centro de Biotecnología, Universidad de Concepción, Concepción 4070386, Chile
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3
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Żak N, Wilczyńska A. The Importance of Testing the Quality and Authenticity of Food Products: The Example of Honey. Foods 2023; 12:3210. [PMID: 37685142 PMCID: PMC10486586 DOI: 10.3390/foods12173210] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 08/16/2023] [Accepted: 08/24/2023] [Indexed: 09/10/2023] Open
Abstract
The aim of this study was to review methods of honey testing in the assessment of its quality and authenticity. The quality of honey, like other food products, is multidimensional. This quality can be assessed not only on the basis of the characteristics evaluated by the consumer during purchase and consumption, but also on the basis of various physicochemical parameters. A number of research methods are used to verify the quality of honeys and to confirm their authenticity. Obligatory methods of assessing the quality of honey are usually described in legal acts. On the other hand, other, non-normative methods of honey quality assessment are used worldwide; they can be used to determine not only the elementary chemical composition of individual types of honey, but also the biological activity of honey and its components. However, so far, there has been no systematization of these methods together with a discussion of problems encountered when determining the authenticity of honeys. Therefore, the aim of our study was to collect information on the methods of assessing the quality and authenticity of honeys, and to identify the problems that occur during this assessment. As a result, a tabular summary of various research methods was created.
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Affiliation(s)
- Natalia Żak
- Department of Quality Management, Gdynia Maritime University, ul. Morska 81-87, 81-225 Gdynia, Poland;
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4
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Younis IY, Ibrahim RM, El-Halawany A, Hegazy MEF, Efferth T, Mohsen E. Chemometric discrimination of Hylocereus undulatus from different geographical origins via their metabolic profiling and antidiabetic activity. Food Chem 2023; 404:134650. [DOI: 10.1016/j.foodchem.2022.134650] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Revised: 10/02/2022] [Accepted: 10/14/2022] [Indexed: 11/06/2022]
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5
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Burton IW, Kompany-Zareh M, Haverstock S, Haché J, Martinez-Farina CF, Wentzell PD, Berrué F. Analysis and Discrimination of Canadian Honey Using Quantitative NMR and Multivariate Statistical Methods. Molecules 2023; 28:molecules28041656. [PMID: 36838644 PMCID: PMC9959790 DOI: 10.3390/molecules28041656] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Revised: 02/02/2023] [Accepted: 02/06/2023] [Indexed: 02/11/2023] Open
Abstract
To address the growing concern of honey adulteration in Canada and globally, a quantitative NMR method was developed to analyze 424 honey samples collected across Canada as part of two surveys in 2018 and 2019 led by the Canadian Food Inspection Agency. Based on a robust and reproducible methodology, NMR data were recorded in triplicate on a 700 MHz NMR spectrometer equipped with a cryoprobe, and the data analysis led to the identification and quantification of 33 compounds characteristic of the chemical composition of honey. The high proportion of Canadian honey in the library provided a unique opportunity to apply multivariate statistical methods including PCA, PLS-DA, and SIMCA in order to differentiate Canadian samples from the rest of the world. Through satisfactory model validation, both PLS-DA as a discriminant modeling technique and SIMCA as a class modeling method proved to be reliable at differentiating Canadian honey from a diverse set of honeys with various countries of origins and floral types. The replacement method of optimization was successfully applied for variable selection, and trigonelline, proline, and ethanol at a lower extent were identified as potential chemical markers for the discrimination of Canadian and non-Canadian honeys.
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Affiliation(s)
- Ian W. Burton
- Aquatic and Crop Resource Development, National Research Council of Canada, Halifax, NS B3H 3Z1, Canada
| | - Mohsen Kompany-Zareh
- Trace Analysis Research Centre, Department of Chemistry, Dalhousie University, P.O. Box 15000, Halifax, NS B3H 4R2, Canada
| | - Sophie Haverstock
- Aquatic and Crop Resource Development, National Research Council of Canada, Halifax, NS B3H 3Z1, Canada
| | - Jonathan Haché
- Canadian Food Inspection Agency, 1400 Merivale Rd, Ottawa, ON K1A 0Y9, Canada
| | - Camilo F. Martinez-Farina
- Aquatic and Crop Resource Development, National Research Council of Canada, Halifax, NS B3H 3Z1, Canada
| | - Peter D. Wentzell
- Trace Analysis Research Centre, Department of Chemistry, Dalhousie University, P.O. Box 15000, Halifax, NS B3H 4R2, Canada
| | - Fabrice Berrué
- Aquatic and Crop Resource Development, National Research Council of Canada, Halifax, NS B3H 3Z1, Canada
- Correspondence: ; Tel.: +1-902-402-3995
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6
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Schanzmann H, Augustini ALRM, Sanders D, Dahlheimer M, Wigger M, Zech PM, Sielemann S. Differentiation of Monofloral Honey Using Volatile Organic Compounds by HS-GCxIMS. Molecules 2022; 27:7554. [PMID: 36364381 PMCID: PMC9658347 DOI: 10.3390/molecules27217554] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Revised: 10/28/2022] [Accepted: 11/02/2022] [Indexed: 11/22/2023] Open
Abstract
Honey is a natural product and can be described by its botanical origin, determined by the plants from which the bees collect nectar. It significantly influences the taste of honey and is often used as a quality criterion. Unfortunately, this opens up the possibility of food fraud. Currently, various methods are used to check the authenticity of monofloral honey. The laborious, manual melissopalynology is considered an essential tool in the verification process. In this work, the volatile organic compounds obtained from the headspace of honey are used to prove their authenticity. The headspace of 58 honey samples was analyzed using a commercial easy-to-use gas chromatography-coupled ion mobility spectrometer with a headspace sampler (HS-GCxIMS). The honey samples were successfully differentiated by their six different botanical origins using specific markers with principal component analysis in combination with linear discriminant analysis. In addition, 15 honey-typical compounds were identified using measurements of reference compounds. Taking a previously published strategy, retention times of marker compounds were correlated with GC-coupled mass spectrometry (GC-MS) measurements to assist in the identification process.
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Affiliation(s)
- Hannah Schanzmann
- Laboratory of Applied Instrumental Analytical Chemistry, Department Hamm 2, Hamm-Lippstadt University of Applied Sciences, 59063 Hamm, Germany
| | - Alexander L. R. M. Augustini
- Laboratory of Applied Instrumental Analytical Chemistry, Department Hamm 2, Hamm-Lippstadt University of Applied Sciences, 59063 Hamm, Germany
| | - Daniel Sanders
- G.A.S. Gesellschaft Für Analytische Sensorsysteme mbH, BioMedizinZentrum, 44227 Dortmund, Germany
| | - Moritz Dahlheimer
- Laboratory of Applied Instrumental Analytical Chemistry, Department Hamm 2, Hamm-Lippstadt University of Applied Sciences, 59063 Hamm, Germany
| | - Modestus Wigger
- Laboratory of Applied Instrumental Analytical Chemistry, Department Hamm 2, Hamm-Lippstadt University of Applied Sciences, 59063 Hamm, Germany
| | - Philipp-Marius Zech
- Dezernat 330 Für Lebensmittel II, Chemisches und Veterinäruntersuchungsamt Ostwestfalen-Lippe, 32758 Detmold, Germany
| | - Stefanie Sielemann
- Laboratory of Applied Instrumental Analytical Chemistry, Department Hamm 2, Hamm-Lippstadt University of Applied Sciences, 59063 Hamm, Germany
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7
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Chavan D, Adolacion JRT, Crum M, Nandy S, Lee KH, Vu B, Kourentzi K, Sabo A, Willson RC. Isolation and Barcoding of Trace Pollen-free DNA for Authentication of Honey. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2022; 70:14084-14095. [PMID: 36279293 DOI: 10.1021/acs.jafc.2c04309] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Adulteration and mislabeling of honey to mask its true origin have become a global concern. Pollen microscopy, the current gold standard for identifying honey's geographical and plant origins, is laborious, requires extensive training, and fails to identify filtered honey and honey spiked with pollen from a more favorable plant to disguise its origins. We successfully isolated pollen-free DNA from filtered honey using three types of adsorbents: (i) anti-dsDNA antibodies coupled to magnetic microspheres; (ii) anion-exchange adsorbent; and (iii) ceramic hydroxyapatite. The internal transcribed spacer 2 region of the captured pollen-free DNA was polymerase chain reaction-amplified and subjected to next-generation sequencing. Using an in-house bioinformatics pipeline, initial experiments showed that anion exchange had the greatest capacity to capture trace pollen-free DNA, and it was successfully applied to isolate DNA from five honey samples. Enrichment of trace pollen-free DNA from filtered honey samples opens a new approach for identifying the true origins of honey.
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Affiliation(s)
- Dimple Chavan
- Department of Biology and Biochemistry, University of Houston, Houston, Texas77204, United States
| | - Jay R T Adolacion
- Department of Chemical and Biomolecular Engineering, University of Houston, Houston, Texas77204, United States
| | - Mary Crum
- Department of Chemical and Biomolecular Engineering, University of Houston, Houston, Texas77204, United States
| | - Suman Nandy
- Department of Chemical and Biomolecular Engineering, University of Houston, Houston, Texas77204, United States
| | - Kyung Hyun Lee
- Center for Clinical Research & Evidence-Based Medicine, The University of Texas Health Science Center at Houston, Houston, Texas77030, United States
| | - Binh Vu
- Department of Chemical and Biomolecular Engineering, University of Houston, Houston, Texas77204, United States
| | - Katerina Kourentzi
- Department of Chemical and Biomolecular Engineering, University of Houston, Houston, Texas77204, United States
| | - Aniko Sabo
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas77030, United States
| | - Richard C Willson
- Department of Biology and Biochemistry, University of Houston, Houston, Texas77204, United States
- Department of Chemical and Biomolecular Engineering, University of Houston, Houston, Texas77204, United States
- Escuela de Medicina y Ciencias de la Salud ITESM, Monterrey, Nuevo León64710, Mexico
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8
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9
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Lozano-Torres B, Carmen Martínez-Bisbal M, Soto J, Juan Borrás M, Martínez-Máñez R, Escriche I. Monofloral honey authentication by voltammetric electronic tongue: A comparison with 1H NMR spectroscopy. Food Chem 2022; 383:132460. [PMID: 35182878 DOI: 10.1016/j.foodchem.2022.132460] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Revised: 01/30/2022] [Accepted: 02/11/2022] [Indexed: 11/04/2022]
Abstract
Proton-nuclear-magnetic-resonance-spectroscopy (1H NMR) is the widely accepted reference method for monitoring honey adulteration; however, the need to find cheaper, faster, and more environmentally friendly methodologies makes the voltammetric-electronic-tongue (VET) a good alternative. The present study aims to demonstrate the ability of VET (in comparison with 1H NMR) to predict the adulteration of honey with syrups. Samples of monofloral honeys (citrus, sunflower and heather, assessed by pollen analysis) simulating different levels of adulteration by adding syrups (barley, rice and corn) from 2.5 to 40% (w/w) were analyzed using both techniques. According to the indicators (slope, intercept, regression coefficient-R2, root mean square error of prediction-RMSEP) of the partial-least-squares (PLS) regression models, in general terms, the performance of these models obtained by both techniques was good, with an average error lower than 5% in both cases. These results support the use of VET as a screening technique to easily detect honey adulteration with syrups.
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Affiliation(s)
- Beatriz Lozano-Torres
- Instituto Interuniversitario de Investigación de Reconocimiento Molecular y Desarrollo Tecnológico (IDM), Universitat Politècnica de València - Universitat de València, Camino de Vera s/n, 46022 Valencia, Spain; Unidad Mixta UPV-CIPF de Investigación en Mecanismos de Enfermedades y Nanomedicina, Universitat Politècnica de València, Centro de Investigación Príncipe Felipe, Eduardo Primo Yúfera 3, 46012 Valencia, Spain; CIBER de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN). Av. Monforte de Lemos, 3-5. Pabellón 11, Planta 0, 28029 Madrid, Spain; Unidad Mixta de Investigación en Nanomedicina y Sensores. Universitat Politècnica de València - Instituto de Investigación Sanitaria La Fe, Avenida Fernando Abril Martorell 106, Torre A, Planta 6, lab 6.30, 46026 Valencia, Spain
| | - M Carmen Martínez-Bisbal
- Instituto Interuniversitario de Investigación de Reconocimiento Molecular y Desarrollo Tecnológico (IDM), Universitat Politècnica de València - Universitat de València, Camino de Vera s/n, 46022 Valencia, Spain; Unidad Mixta UPV-CIPF de Investigación en Mecanismos de Enfermedades y Nanomedicina, Universitat Politècnica de València, Centro de Investigación Príncipe Felipe, Eduardo Primo Yúfera 3, 46012 Valencia, Spain; CIBER de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN). Av. Monforte de Lemos, 3-5. Pabellón 11, Planta 0, 28029 Madrid, Spain; Unidad Mixta de Investigación en Nanomedicina y Sensores. Universitat Politècnica de València - Instituto de Investigación Sanitaria La Fe, Avenida Fernando Abril Martorell 106, Torre A, Planta 6, lab 6.30, 46026 Valencia, Spain; Departamento de Química Física, Universitat de València, C/Doctor Moliner 50, 46100 Burjassot, Valencia, Spain.
| | - Juan Soto
- Instituto Interuniversitario de Investigación de Reconocimiento Molecular y Desarrollo Tecnológico (IDM), Universitat Politècnica de València - Universitat de València, Camino de Vera s/n, 46022 Valencia, Spain; Departamento de Química, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain
| | - Marisol Juan Borrás
- Instituto de Ingeniería de Alimentos Para el Desarrollo, Universitat Politècnica de València, Valencia, Spain
| | - Ramón Martínez-Máñez
- Instituto Interuniversitario de Investigación de Reconocimiento Molecular y Desarrollo Tecnológico (IDM), Universitat Politècnica de València - Universitat de València, Camino de Vera s/n, 46022 Valencia, Spain; Unidad Mixta UPV-CIPF de Investigación en Mecanismos de Enfermedades y Nanomedicina, Universitat Politècnica de València, Centro de Investigación Príncipe Felipe, Eduardo Primo Yúfera 3, 46012 Valencia, Spain; CIBER de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN). Av. Monforte de Lemos, 3-5. Pabellón 11, Planta 0, 28029 Madrid, Spain; Unidad Mixta de Investigación en Nanomedicina y Sensores. Universitat Politècnica de València - Instituto de Investigación Sanitaria La Fe, Avenida Fernando Abril Martorell 106, Torre A, Planta 6, lab 6.30, 46026 Valencia, Spain; Departamento de Química, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain
| | - Isabel Escriche
- Instituto de Ingeniería de Alimentos Para el Desarrollo, Universitat Politècnica de València, Valencia, Spain; Departamento de Tecnología de Alimentos (DTA), Universitat Politècnica de València, Valencia, Spain.
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10
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Magiera A, Czerwińska ME, Owczarek A, Marchelak A, Granica S, Olszewska MA. Polyphenols and Maillard Reaction Products in Dried Prunus spinosa Fruits: Quality Aspects and Contribution to Anti-Inflammatory and Antioxidant Activity in Human Immune Cells Ex Vivo. MOLECULES (BASEL, SWITZERLAND) 2022; 27:molecules27103302. [PMID: 35630778 PMCID: PMC9143125 DOI: 10.3390/molecules27103302] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Revised: 05/12/2022] [Accepted: 05/18/2022] [Indexed: 12/30/2022]
Abstract
Dried Prunus spinosa fruits (sloes) are folk phytotherapeutics applied to treat chronic inflammatory disorders. However, their pharmacological potential, activity vectors, and drying-related changes in bioactive components remain unexplored. Therefore, the present research aimed to evaluate the anti-inflammatory and antioxidant effects of dried sloes in ex vivo models of human neutrophils and peripheral blood mononuclear cells (PMBCs) and establish their main active components. It was revealed that the fruit extracts significantly and dose-dependently inhibited the respiratory burst, downregulated the production of elastase (ELA-2) and TNF-α, and upregulated the IL-10 secretion by immune cells under pro-inflammatory and pro-oxidant stimulation. The slightly reduced IL-6 and IL-8 secretion was also observed. The structural identification of active compounds, including 45 phenolics and three Maillard reaction products (MRPs) which were formed during drying, was performed by an integrated approach combining LC-MS/MS, preparative HPLC isolation, and NMR studies. The cellular tests of four isolated model compounds (chlorogenic acid, quercetin, procyanidin B2, and 5-hydroxymethylfurfural), supported by statistical correlation studies, revealed a significant polyphenolic contribution and a slight impact of MRPs on the extracts’ effects. Moreover, a substantial synergy was observed for phenolic acids, flavonoids, condensed proanthocyanidins, and MPRs. These results might support the phytotherapeutic use of dried P. spinosa fruits to relieve inflammation and establish the quality control procedure for the extracts prepared thereof.
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Affiliation(s)
- Anna Magiera
- Department of Pharmacognosy, Faculty of Pharmacy, Medical University of Lodz, 1 Muszynskiego St., 90-151 Lodz, Poland; (A.O.); (A.M.); (M.A.O.)
- Correspondence: ; Tel.: +48-503-316-997
| | - Monika Ewa Czerwińska
- Department of Biochemistry and Pharmacogenomics, Medical University of Warsaw, 1 Banacha St., 02-097 Warsaw, Poland;
- Centre for Preclinical Research, Medical University of Warsaw, 1B Banacha St., 02-097 Warsaw, Poland
| | - Aleksandra Owczarek
- Department of Pharmacognosy, Faculty of Pharmacy, Medical University of Lodz, 1 Muszynskiego St., 90-151 Lodz, Poland; (A.O.); (A.M.); (M.A.O.)
| | - Anna Marchelak
- Department of Pharmacognosy, Faculty of Pharmacy, Medical University of Lodz, 1 Muszynskiego St., 90-151 Lodz, Poland; (A.O.); (A.M.); (M.A.O.)
| | - Sebastian Granica
- Microbiota Lab, Centre for Preclinical Studies, Department of Pharmacognosy and Molecular Basis of Phytotherapy, Medical University of Warsaw, 1 Banacha St., 02-097 Warsaw, Poland;
| | - Monika Anna Olszewska
- Department of Pharmacognosy, Faculty of Pharmacy, Medical University of Lodz, 1 Muszynskiego St., 90-151 Lodz, Poland; (A.O.); (A.M.); (M.A.O.)
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11
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Venecia W, Lim Lee Y, Lejaniya AKS, Iwan SM, Pui LP. Physicochemical Properties and Detection of Glucose Syrup Adulterated Kelulut (
Heterotrigona Itama)
Honey Using
Near‐Infrared
Spectroscopy. J FOOD PROCESS PRES 2022. [DOI: 10.1111/jfpp.16686] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Woeng Venecia
- Department of Food Science and Nutrition, Faculty of Applied Sciences UCSI University 56000 Kuala Lumpur Malaysia
| | - Ying Lim Lee
- Department of Food Science and Nutrition, Faculty of Applied Sciences UCSI University 56000 Kuala Lumpur Malaysia
| | - Abdul Kalam Saleena Lejaniya
- Department of Food Science and Nutrition, Faculty of Applied Sciences UCSI University 56000 Kuala Lumpur Malaysia
| | - Solihin Mahmud Iwan
- Department of Mechanical Engineering, Faculty of Engineering, Technology and Built Environment UCSI University 56000 Kuala Lumpur Malaysia
| | - Liew Phing Pui
- Department of Food Science and Nutrition, Faculty of Applied Sciences UCSI University 56000 Kuala Lumpur Malaysia
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12
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Yong CH, Muhammad SA, Aziz FA, Ng JS, Nasir FI, Adenan M, Moosa S, Othman Z, Abdullah S, Sharif Z, Ismail F, Kelly SD, Cannavan A, Seow EK. Detection of adulteration activities in edible bird's nest using untargeted 1H-NMR metabolomics with chemometrics. Food Control 2022. [DOI: 10.1016/j.foodcont.2021.108542] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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13
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Yong CH, Muhammad SA, Aziz FA, Nasir FI, Mustafa MZ, Ibrahim B, Kelly SD, Cannavan A, Seow EK. Detecting adulteration of stingless bee honey using untargeted 1H NMR metabolomics with chemometrics. Food Chem 2022; 368:130808. [PMID: 34419793 DOI: 10.1016/j.foodchem.2021.130808] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Revised: 07/27/2021] [Accepted: 08/05/2021] [Indexed: 12/31/2022]
Abstract
As stingless bee honey (SBH) is gaining in popularity in the Malaysian market, it is now prone to adulteration. The higher price of SBH compared to floral honey has led to the use of unusual adulterants such as vinegar and even floral honey to mimic the unique taste and appearance of SBH. Since the current AOAC 998.12 method fails to detect these adulterants as their δ13C values are in the range for C3 plants, untargeted 1H NMR metabolomics was proposed. Principal component analysis of SBH 1H NMR fingerprints was able to distinguish authentic SBHs from adulterated ones down to 1% adulteration level for selected adulterants. Discriminant analysis showed promising results in distinguishing the preliminary datasets of authentic SBHs from the adulterated ones, including discriminating SBHs adulterated with different adulterants derived from C3 and C4 plants. Hence, to assure any emerging adulterant can be detected, all 1H NMR regions should be considered.
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Affiliation(s)
- Chin-Hong Yong
- Environmental Technology Division, School of Industrial Technology, Universiti Sains Malaysia, 11800 USM, Penang, Malaysia
| | - Syahidah Akmal Muhammad
- Environmental Technology Division, School of Industrial Technology, Universiti Sains Malaysia, 11800 USM, Penang, Malaysia; Analytical Biochemistry Research Centre, Universiti Sains Malaysia, 11800 USM, Penang, Malaysia.
| | - Fatimatuzzahra' Abd Aziz
- Discipline of Clinical Pharmacy, School of Pharmaceutical Sciences, Universiti Sains Malaysia, 11800 USM, Penang, Malaysia
| | - Fatin Ilyani Nasir
- Analytical Biochemistry Research Centre, Universiti Sains Malaysia, 11800 USM, Penang, Malaysia
| | - Mohd Zulkifli Mustafa
- Department of Neuroscience, School of Medical Sciences, Universiti Sains Malaysia, 16150 Kubang Kerian, Kelantan, Malaysia
| | - Baharudin Ibrahim
- Faculty of Pharmacy, University of Malaya, Kuala Lumpur 50603, Malaysia
| | - Simon D Kelly
- Food and Environmental Protection Laboratory, Joint FAO/IAEA Centre of Nuclear Techniques in Food and Agriculture, Department of Nuclear Sciences and Applications, International Atomic Energy Agency, Vienna International Centre, PO Box 100, 1400 Vienna, Austria
| | - Andrew Cannavan
- Food and Environmental Protection Laboratory, Joint FAO/IAEA Centre of Nuclear Techniques in Food and Agriculture, Department of Nuclear Sciences and Applications, International Atomic Energy Agency, Vienna International Centre, PO Box 100, 1400 Vienna, Austria
| | - Eng-Keng Seow
- Department of Food Science and Technology, Faculty of Applied Sciences, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia
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14
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The Association of Tanacetum parthenium and Salix alba Extracts Reduces Cortex Serotonin Turnover, in an Ex Vivo Experimental Model of Migraine. Processes (Basel) 2022. [DOI: 10.3390/pr10020280] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023] Open
Abstract
The mixture of water extracts from Tanacetum parthenium and Salix alba was studied in an ex vivo assessment of neurotoxicity constituted by isolated mouse cortex specimens challenged with K+ 60 mM Krebs–Ringer buffer (neurotoxicity stimulus). The effects of the mixture on lactate dehydrogenase (LDH), nitrite and serotonin levels were investigated. The phytochemical profile of the mixture was also evaluated. A docking approach was conducted to predict, albeit partially, the putative mechanism underlying the observed effects. The extracts displayed a good profile of polyphenolic compounds (22 chromatographic peaks detected), with caftaric acid and epicatechin being the prominent phenols. In isolated cortex, the association of T. parthenium and S. alba extracts was effective in reducing the K+ 60 mM-induced levels of LDH and nitrites, whereas the neurotoxicity stimulus-induced serotonin depletion was prevented by the treatment. Regarding the inhibition of serotonin catabolism, epicatechin (44.65 µg/mg) and caftaric acid (10.51 µg/mg) were putatively the main compounds involved in the inhibition of monoamineoxidase-A, which is known to play a master role in serotonin turnover. Collectively, the results of the present study point to the efficacy of the present extract mixture as an innovative pharmacological tool to prevent the onset of migraine.
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15
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Yusoff YM, Abbott G, Young L, Edrada-Ebel R. Metabolomic Profiling of Malaysian and New Zealand Honey Using Concatenated NMR and HRMS Datasets. Metabolites 2022; 12:metabo12010085. [PMID: 35050207 PMCID: PMC8781004 DOI: 10.3390/metabo12010085] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Revised: 01/07/2022] [Accepted: 01/09/2022] [Indexed: 11/16/2022] Open
Abstract
This study aims to compare the metabolomic profiles of Malaysian and New Zealand honey while determining their anti-oncogenic activity for potential prophylactic functions. Metabolomics tools including multivariate analysis were applied on concatenated LC-HRMS and NMR datasets to afford an intensive chemical profile of honey samples and have a snapshot of the bioactive metabolites in the respective collections. Malaysian samples were found to have higher sugar and polyphenolic content, while New Zealand samples afforded higher concentration of low molecular weight (MW) lipids. However, New Zealand honey collected from the northern islands had higher concentration of acetylated saccharides, while those from the southern islands yielded higher low MW phenolic metabolites that were comparable to Malaysian honey. Mild anti-oncogenic compounds against breast cancer cell line ZR75 were putatively identified in Malaysian honey that included earlier described antioxidants such as gingerdiol, 2-hexylphenol-O-β-D-xylopyranoside, plastoquinone, tropine isovalerate, plumerinine, and 3,5-(12-phenyl-8-dodecenyl)resorcinol, along with several phenolic esters and lignans.
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Affiliation(s)
- Yusnaini M. Yusoff
- Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, The John Arbuthnott Building, 161 Cathedral Street, Glasgow G4 0RE, UK; (G.A.); (L.Y.)
- CADS, Level 8, Vertical Corporate Tower B, Avenue 10, The Vertical, No. 8 Jalan Kerinchi, Bangsar South City, Kuala Lumpur 59200, Malaysia
- Correspondence: or (Y.M.Y.); (R.E.-E.)
| | - Grainne Abbott
- Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, The John Arbuthnott Building, 161 Cathedral Street, Glasgow G4 0RE, UK; (G.A.); (L.Y.)
| | - Louise Young
- Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, The John Arbuthnott Building, 161 Cathedral Street, Glasgow G4 0RE, UK; (G.A.); (L.Y.)
| | - RuAngelie Edrada-Ebel
- Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, The John Arbuthnott Building, 161 Cathedral Street, Glasgow G4 0RE, UK; (G.A.); (L.Y.)
- Correspondence: or (Y.M.Y.); (R.E.-E.)
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16
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Rachineni K, Rao Kakita VM, Awasthi NP, Shirke VS, Hosur RV, Chandra Shukla S. Identifying type of sugar adulterants in honey: Combined application of NMR spectroscopy and supervised machine learning classification. Curr Res Food Sci 2022; 5:272-277. [PMID: 35141528 PMCID: PMC8816647 DOI: 10.1016/j.crfs.2022.01.008] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Revised: 12/25/2021] [Accepted: 01/09/2022] [Indexed: 02/01/2023] Open
Abstract
Nuclear magnetic resonance (NMR) is a powerful analytical tool which can be used for authenticating honey, at chemical constituent levels by enabling identification and quantification of the spectral patterns. However, it is still challenging, as it may be a person-centric analysis or a time-consuming process to analyze many honey samples in a limited time. Hence, automating the NMR spectral analysis of honey with the supervised machine learning models accelerates the analysis process and especially food chemistry researcher or food industry with non-NMR experts would benefit immensely from such advancements. Here, we have successfully demonstrated this technology by considering three major sugar adulterants, i.e., brown rice syrup, corn syrup, and jaggery syrup, in honey at varying concentrations. The necessary supervised machine learning classification analysis is performed by using logistic regression, deep learning-based neural network, and light gradient boosting machines schemes. NMR helps to identify the fingerprints of honey chemical constituents. Combined NMR and ML tools can determine the type of adulteration in honey. Supervised classification schemes, Logistic regression, DNN, and LGBM are utilized. Corn, brown rice, and jaggery adulterations are discriminated in honey.
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Affiliation(s)
- Kavitha Rachineni
- Export Inspection Agency – Mumbai, E-3, Industrial Area (MIDC), Andheri East, Mumbai, 400 093, India
- Corresponding author.
| | - Veera Mohana Rao Kakita
- UM-DAE Centre for Excellence in Basic Sciences, University of Mumbai, Kalina Campus, Santacruz, Mumbai, 400 098, India
| | - Neeraj Praphulla Awasthi
- Export Inspection Agency – Mumbai, E-3, Industrial Area (MIDC), Andheri East, Mumbai, 400 093, India
| | - Vrushali Siddesh Shirke
- Export Inspection Agency – Mumbai, E-3, Industrial Area (MIDC), Andheri East, Mumbai, 400 093, India
| | - Ramakrishna V. Hosur
- UM-DAE Centre for Excellence in Basic Sciences, University of Mumbai, Kalina Campus, Santacruz, Mumbai, 400 098, India
| | - Satish Chandra Shukla
- Export Inspection Agency- Chennai (Head Office), 6th Floor CMDA Tower-II, No: 1 Gandhi Irwin Road, Egmore, Chennai, 600008, India
- Corresponding author.
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17
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QU Q, JIN L. Application of nuclear magnetic resonance in food analysis. FOOD SCIENCE AND TECHNOLOGY 2022. [DOI: 10.1590/fst.43622] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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18
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Labsvards KD, Rudovica V, Kluga R, Rusko J, Busa L, Bertins M, Eglite I, Naumenko J, Salajeva M, Viksna A. Determination of Floral Origin Markers of Latvian Honey by Using IRMS, UHPLC-HRMS, and 1H-NMR. Foods 2021; 11:foods11010042. [PMID: 35010167 PMCID: PMC8750591 DOI: 10.3390/foods11010042] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Revised: 12/20/2021] [Accepted: 12/22/2021] [Indexed: 12/26/2022] Open
Abstract
The economic significance of honey production is crucial; therefore, modern and efficient methods of authentication are needed. During the last decade, various data processing methods and a combination of several instrumental methods have been increasingly used in food analysis. In this study, the chemical composition of monofloral buckwheat (Fagopyrum esculentum), clover (Trifolium repens), heather (Calluna vulgaris), linden (Tilia cordata), rapeseed (Brassica napus), willow (Salix cinerea), and polyfloral honey samples of Latvian origin were investigated using several instrumental analysis methods. The data from light stable isotope ratio mass spectrometry (IRMS), ultra-high performance liquid chromatography coupled with high-resolution mass spectrometry (UHPLC-HRMS), and nuclear magnetic resonance (NMR) analysis methods were used in combination with multivariate analysis to characterize honey samples originating from Latvia. Results were processed using the principal component analysis (PCA) to study the potential possibilities of evaluating the differences between honey of different floral origins. The results indicate the possibility of strong differentiation of heather and buckwheat honeys, and minor differentiation of linden honey from polyfloral honey types. The main indicators include depleted δ15N values for heather honey protein, elevated concentration levels of rutin for buckwheat honey, and qualitative presence of specific biomarkers within NMR for linden honey.
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Affiliation(s)
- Kriss Davids Labsvards
- Department of Chemistry, University of Latvia, Jelgavas Street 1, LV-1004 Riga, Latvia; (V.R.); (R.K.); (J.R.); (L.B.); (M.B.); (J.N.); (M.S.); (A.V.)
- Institute of Food Safety, Animal Health and Environment “BIOR”, Lejupes Street 3, LV-1076 Riga, Latvia
- Correspondence: ; Tel.: +371-26395784
| | - Vita Rudovica
- Department of Chemistry, University of Latvia, Jelgavas Street 1, LV-1004 Riga, Latvia; (V.R.); (R.K.); (J.R.); (L.B.); (M.B.); (J.N.); (M.S.); (A.V.)
| | - Rihards Kluga
- Department of Chemistry, University of Latvia, Jelgavas Street 1, LV-1004 Riga, Latvia; (V.R.); (R.K.); (J.R.); (L.B.); (M.B.); (J.N.); (M.S.); (A.V.)
| | - Janis Rusko
- Department of Chemistry, University of Latvia, Jelgavas Street 1, LV-1004 Riga, Latvia; (V.R.); (R.K.); (J.R.); (L.B.); (M.B.); (J.N.); (M.S.); (A.V.)
- Institute of Food Safety, Animal Health and Environment “BIOR”, Lejupes Street 3, LV-1076 Riga, Latvia
| | - Lauma Busa
- Department of Chemistry, University of Latvia, Jelgavas Street 1, LV-1004 Riga, Latvia; (V.R.); (R.K.); (J.R.); (L.B.); (M.B.); (J.N.); (M.S.); (A.V.)
| | - Maris Bertins
- Department of Chemistry, University of Latvia, Jelgavas Street 1, LV-1004 Riga, Latvia; (V.R.); (R.K.); (J.R.); (L.B.); (M.B.); (J.N.); (M.S.); (A.V.)
| | - Ineta Eglite
- Latvian Beekeeping Association, Rigas Street 22, LV-3004 Jelgava, Latvia;
| | - Jevgenija Naumenko
- Department of Chemistry, University of Latvia, Jelgavas Street 1, LV-1004 Riga, Latvia; (V.R.); (R.K.); (J.R.); (L.B.); (M.B.); (J.N.); (M.S.); (A.V.)
| | - Marina Salajeva
- Department of Chemistry, University of Latvia, Jelgavas Street 1, LV-1004 Riga, Latvia; (V.R.); (R.K.); (J.R.); (L.B.); (M.B.); (J.N.); (M.S.); (A.V.)
| | - Arturs Viksna
- Department of Chemistry, University of Latvia, Jelgavas Street 1, LV-1004 Riga, Latvia; (V.R.); (R.K.); (J.R.); (L.B.); (M.B.); (J.N.); (M.S.); (A.V.)
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19
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NMR Tracing of Food Geographical Origin: The Impact of Seasonality, Cultivar and Production Year on Data Analysis. SEPARATIONS 2021. [DOI: 10.3390/separations8120230] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
The traceability of typical foodstuffs is necessary to protect high quality of traditional products. It is well-known that several factors could influence metabolites content in certified foods, but soil composition, altitude, latitude and coded production protocols constitute the territorial conditions responsible for the peculiar organoleptic and nutritional properties of labelled foods. Instead, regardless of origin, seasonality, cultivar, collection year can affect all agricultural products, so it is appropriate to include them in data analysis in order to obtain a correct interpretation of the differences linked to growing areas alone. Therefore, it is useful to use a flexible all-round technique, and NMR spectroscopy coupled with multivariate statistical analysis is considered a powerful means of assessing food authenticity. The purpose of this review is to investigate the relevance of year, cultivar, and seasonal period in the determination of food geographical origin using NMR spectroscopy. The strategy for testing these three factors may differ from author to author, but a preliminary study of cultivar or collection year effects on NMR spectra is the most popular method before starting the geographical characterization of samples. In summary, based on the available literature, the most significant influence is due to cultivar, followed by harvesting year, however seasonality is not considered a source of variability in data analysis.
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20
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Abu Salha B, Perkas N, Gedanken A. Making salty cucumbers and honeyed apples by applying the sonochemical method. JOURNAL OF FOOD SCIENCE AND TECHNOLOGY 2021; 58:4263-4269. [PMID: 34538909 PMCID: PMC8405738 DOI: 10.1007/s13197-020-04900-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Revised: 06/21/2020] [Accepted: 11/10/2020] [Indexed: 06/13/2023]
Abstract
Sonochemistry was applied in the last few years for coating surfaces of various substrates for imparting desired properties to the surface. In the current paper the coating of cucumbers with NaCl nanoparticles and apples with honey nanoparticles was accomplished by applying the sonochemical method. In both coating the nanoparticles were deposited from aqueous solutions. The products were characterized by Inductively coupled plasma, Dynamic light scattering, Scanning electron microscopy, and Nuclear magnetic resonance.
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Affiliation(s)
- Belal Abu Salha
- Department of Chemistry and the BINA Center, Bar-Ilan University, 5290002 Ramat-Gan, Israel
| | - Nina Perkas
- Department of Chemistry and the BINA Center, Bar-Ilan University, 5290002 Ramat-Gan, Israel
| | - Aharon Gedanken
- Department of Chemistry and the BINA Center, Bar-Ilan University, 5290002 Ramat-Gan, Israel
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21
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Capitain C, Weller P. Non-Targeted Screening Approaches for Profiling of Volatile Organic Compounds Based on Gas Chromatography-Ion Mobility Spectroscopy (GC-IMS) and Machine Learning. Molecules 2021; 26:molecules26185457. [PMID: 34576928 PMCID: PMC8468721 DOI: 10.3390/molecules26185457] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2021] [Revised: 08/30/2021] [Accepted: 09/01/2021] [Indexed: 12/20/2022] Open
Abstract
Due to its high sensitivity and resolving power, gas chromatography-ion mobility spectrometry (GC-IMS) is a powerful technique for the separation and sensitive detection of volatile organic compounds. It is a robust and easy-to-handle technique, which has recently gained attention for non-targeted screening (NTS) approaches. In this article, the general working principles of GC-IMS are presented. Next, the workflow for NTS using GC-IMS is described, including data acquisition, data processing and model building, model interpretation and complementary data analysis. A detailed overview of recent studies for NTS using GC-IMS is included, including several examples which have demonstrated GC-IMS to be an effective technique for various classification and quantification tasks. Lastly, a comparison of targeted and non-targeted strategies using GC-IMS are provided, highlighting the potential of GC-IMS in combination with NTS.
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22
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Wongsa P, Rattanapanone N. 1 H-NMR analysis, antioxidant activity, and α-amylase and α-glucosidase inhibitory potential of ten common Thai edible flowers. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE 2021; 101:4380-4389. [PMID: 33421135 DOI: 10.1002/jsfa.11079] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/29/2020] [Revised: 12/21/2020] [Accepted: 01/09/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND Edible flowers have been used in cooking as foods as well as medicine alternatives. The objectives were to identify a major class of organic compounds in edible flowers by applying proton nuclear magnetic resonance (1 H-NMR) metabolite fingerprinting and to evaluate bioactivity including antioxidant and α-amylase and α-glucosidase inhibitory activities. RESULTS A total of 32 metabolites including five organic acids, eight sugars, 11 amino acids and eight phenolic compounds were identified by using 1 H-NMR at 600 MHz. The aromatic proton of phenolic compounds was observed at the low-field region ranged between δ 5.5 ppm and 10.0 ppm. Total phenolic content (TPC) of the extracts of edible flowers ranged from 6.0 mg GAE g-1 dry weight (DW) to 47.97 mg GAE g-1 DW. Antioxidant activity varied from 140.5 mmol L-1 TE g-1 DW to 985.2 mmol L-1 TE g-1 DW. The extracts from edible flowers showed dose-dependent inhibition against enzyme. The extract of African marigold (Tagetes erecta L.) had the highest half maximal inhibitory concentration (IC50 ) against α-amylase at 0.13 mg mL-1 while the extract of flower of Sesban agasta (Sesbania grandiflora Desv.) had the lowest IC50 against α-amylase at 0.63 mg mL-1 . Moderate correlation was found between IC50 values against α-glucosidase and antioxidant activity values (R2 = 0.66) (P < 0.05). CONCLUSION 1 H-NMR application provided metabolomic fingerprinting of edible flowers and the in vitro inhibitory potential activity against key enzymes related to diabetes indicated that specific edible flowers have a potential use for dietary management during the early stages of hyperglycaemia. © 2021 Society of Chemical Industry.
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Affiliation(s)
- Prinya Wongsa
- Food Science and Technology Programme, School of Agro-Industry, Mae Fah Luang University, Chiang Rai, Thailand
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23
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Opportunities and Constraints in Applying Artificial Neural Networks (ANNs) in Food Authentication. Honey—A Case Study. APPLIED SCIENCES-BASEL 2021. [DOI: 10.3390/app11156723] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
The present work aims to test the potential of the application of Artificial Neural Networks (ANNs) for food authentication. For this purpose, honey was chosen as the working matrix. The samples were originated from two countries: Romania (50) and France (53), having as floral origins: acacia, linden, honeydew, colza, galium verum, coriander, sunflower, thyme, raspberry, lavender and chestnut. The ANNs were built on the isotope and elemental content of the investigated honey samples. This approach conducted to the development of a prediction model for geographical recognition with an accuracy of 96%. Alongside this work, distinct models were developed and tested, with the aim of identifying the most suitable configurations for this application. In this regard, improvements have been continuously performed; the most important of them consisted in overcoming the unwanted phenomenon of over-fitting, observed for the training data set. This was achieved by identifying appropriate values for the number of iterations over the training data and for the size and number of the hidden layers and by introducing of a dropout layer in the configuration of the neural structure. As a conclusion, ANNs can be successfully applied in food authenticity control, but with a degree of caution with respect to the “over optimization” of the correct classification percentage for the training sample set, which can lead to an over-fitted model.
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24
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Magdas DA, Guyon F, Berghian-Grosan C, Muller Molnar C. Challenges and a step forward in honey classification based on Raman spectroscopy. Food Control 2021. [DOI: 10.1016/j.foodcont.2020.107769] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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25
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Wang Z, Ren P, Wu Y, He Q. Recent advances in analytical techniques for the detection of adulteration and authenticity of bee products - A review. Food Addit Contam Part A Chem Anal Control Expo Risk Assess 2021; 38:533-549. [PMID: 33705260 DOI: 10.1080/19440049.2020.1871081] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Bee products have been considered as functional foods for a long time in China because of their wide range of biological activity. China has the largest number of bee colonies and the highest production of bee products in the world. Major bee products include honey, royal jelly, propolis and bee pollen. In recent years, consumption of bee products in China has been increasing due to an increased public awareness of their nutritional and health benefits. With the development of the Chinese economy and the improvement of people's living standards, high-end and gift-oriented products have become more popular and bee products are one of the options. However, the production of bee products cannot increase rapidly in short term and this is a driver for substantial economic-motivated adulteration. This is compounded by globalisation of supply chains which has also resulted in a rise in bee products fraud. These illicit products are eroding market prices and consumer trust, causing significant damage to the beekeeping industry. In order to provide information or solutions for regulators and consumers, in this article, we review he characteristics of bee products in China and the current situation regarding adulteration and authenticity of bee products. Moreover, advances in analytical techniques for detection of adulteration and authenticity of bee products including sensory techniques, DNA methods, isotope ratio mass spectrometry, spectroscopic techniques and mass spectrometry are reviewed. Finally, the applications and limitations of analytical methods in authentication are critically assessed. Suggestions are also put forward for the future management of China's bee products industry.
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Affiliation(s)
- Ziying Wang
- Department of Food Science and Engineering, College of Chemistry and Environmental Engineering, Shenzhen University, Shenzhen, China
| | - Pingping Ren
- Applied, Industrial and Clinical Division, Bruker Biospin GmbH, Rheinstetten, Germany
| | - Yongning Wu
- NHC Key Laboratory of Food Safety Risk Assessment, China National Center for Food Safety Risk Assessment, Beijing, China
| | - Qinghua He
- Department of Food Science and Engineering, College of Chemistry and Environmental Engineering, Shenzhen University, Shenzhen, China
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26
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Seraglio SKT, Schulz M, Brugnerotto P, Silva B, Gonzaga LV, Fett R, Costa ACO. Quality, composition and health-protective properties of citrus honey: A review. Food Res Int 2021; 143:110268. [PMID: 33992369 DOI: 10.1016/j.foodres.2021.110268] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Revised: 02/20/2021] [Accepted: 02/21/2021] [Indexed: 11/16/2022]
Abstract
Citrus honey is one of the most important monofloral honeys produced and consumed worldwide. This honey has pleasant sensorial characteristics, which include light color and typical aroma and flavor. Besides that, several constituents such as minerals, phenolic and volatile compounds, amino acids, sugars, enzymes, vitamins, methylglyoxal and organic acids are found in citrus honey. Moreover, potential biological properties have been associated with citrus honey. All these factors make it highly desired by consumers, increasing its market value, which can stimulates the practice of fraud. Also, citrus honey is susceptible to contamination and to inadequate processing. All these factors can compromise the quality, safety and authenticity of citrus honey. In this sense, this review aims to update and to discuss, for the first time, the data available in the literature about the physicochemical and the sensorial characteristics, composition, health properties, contamination, authenticity and adulteration of citrus honey. With this background, we aim to provide data that can guide future researches related to this honey.
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Affiliation(s)
| | - Mayara Schulz
- Department of Food Science and Technology, Federal University of Santa Catarina, 88034-001 Florianópolis, SC, Brazil
| | - Patricia Brugnerotto
- Department of Food Science and Technology, Federal University of Santa Catarina, 88034-001 Florianópolis, SC, Brazil
| | - Bibiana Silva
- Department of Food Science and Technology, Federal University of Santa Catarina, 88034-001 Florianópolis, SC, Brazil
| | - Luciano Valdemiro Gonzaga
- Department of Food Science and Technology, Federal University of Santa Catarina, 88034-001 Florianópolis, SC, Brazil
| | - Roseane Fett
- Department of Food Science and Technology, Federal University of Santa Catarina, 88034-001 Florianópolis, SC, Brazil
| | - Ana Carolina Oliveira Costa
- Department of Food Science and Technology, Federal University of Santa Catarina, 88034-001 Florianópolis, SC, Brazil.
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27
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Fuentes Molina O, Alizadeh K, Bucarey SA, Castaneza Zúñiga E, Vásquez-Quitral P. Analysis of organic molecules, physicochemical parameters, and pollen as indicators for authenticity, botanical origin, type and quality of honey samples examined. INTERNATIONAL JOURNAL OF FOOD PROPERTIES 2020. [DOI: 10.1080/10942912.2020.1850775] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Affiliation(s)
- O. Fuentes Molina
- Laboratorio de Fisiología, Departamento de Ciencias Biológicas Animales, Facultad de Ciencias Veterinarias y Pecuarias, Universidad De Chile, La Pintana, Santiago, Chile
| | - K. Alizadeh
- Department of Palynology and Climate Dynamics, University of Göttingen, Göttingen, Germany
- Quality Service International (QSI) GmbH, Bremen, Germany
| | - Sergio A. Bucarey
- Laboratorio de Biotecnología Veterinaria (BIOVETEC), Departamento de Ciencias Biológicas Animales, Facultad de Ciencias Veterinarias y Pecuarias, Universidad De Chile, La Pintana, Santiago, Chile
| | - E. Castaneza Zúñiga
- Instituto Profesional DUOC-UC, Sede Puente Alto, Puente Alto, Santiago, Chile
| | - P. Vásquez-Quitral
- Instituto De Ciencias Químicas Aplicadas, Facultad De Ingeniería, Universidad Autónoma De Chile, San Miguel, Santiago, Chile
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Kafantaris I, Amoutzias GD, Mossialos D. Foodomics in bee product research: a systematic literature review. Eur Food Res Technol 2020. [DOI: 10.1007/s00217-020-03634-5] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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Spiteri C, Lia F, Farrugia C. Determination of the Geographical Origin of Maltese Honey Using 1H NMR Fingerprinting. Foods 2020; 9:E1455. [PMID: 33066160 PMCID: PMC7601949 DOI: 10.3390/foods9101455] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Revised: 10/02/2020] [Accepted: 10/07/2020] [Indexed: 02/05/2023] Open
Abstract
The price of honey, as a highly consumed natural product, depends on its botanical source and its production environment, causing honey to be vulnerable to adulteration through mislabeling and inappropriate, fraudulent production. In this study, a fast and simple approach is proposed to tackle this issue through non-target one dimensional zg30 and noesypr1d 1H NMR fingerprint analysis, in combination with multivariate data analysis. Results suggest that composition differences in sugars, amino acids, and carboxylic acid were sufficient to discriminate between the tested honey of Maltese origin and that of non-local origin. Indeed, all chemometric models based on noesypr1d analysis of the whole fraction honey showed better prediction in geographical discrimination. The possibility of discrimination was further investigated through analysis of the honey's phenolic extract composition. The partial least squares models were deemed unsuccessful to discriminate, however, some of the linear discriminant analysis models achieved a prediction accuracy of 100%. Lastly, the best performing models of both the whole fraction and the phenolic extracts were tested on five samples of unknown geographic for market surveillance, which attained a high agreement within the models. Thus, suggesting the use of non-target 1H NMR coupled with the multivariate-data analysis and machine learning as a potential alternative to the current time-consuming analytical methods.
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Affiliation(s)
| | - Frederick Lia
- Department of Chemistry, University of Malta, 2080 Msida, MSD, Malta; (C.S.); (C.F.)
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Water Extract from Inflorescences of Industrial Hemp Futura 75 Variety as a Source of Anti-Inflammatory, Anti-Proliferative and Antimycotic Agents: Results from In Silico, In Vitro and Ex Vivo Studies. Antioxidants (Basel) 2020; 9:antiox9050437. [PMID: 32429587 PMCID: PMC7278775 DOI: 10.3390/antiox9050437] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Revised: 05/13/2020] [Accepted: 05/15/2020] [Indexed: 12/11/2022] Open
Abstract
Industrial hemp (Cannabis sativa) is traditionally cultivated as a valuable source of fibers and nutrients. Multiple studies also demonstrated antimicrobial, anti-proliferative, phytotoxic and insecticide effects of the essential oil from hemp female inflorescences. On the other side, only a few studies explored the potential pharmacological application of polar extracts from inflorescences. In the present study, we investigated the water extract from inflorescences of industrial hemp Futura 75 variety, from phytochemical and pharmacological point of view. The water extract was assayed for phenolic compound content, radical scavenger/reducing, chelating and anti-tyrosinase effects. Through an ex vivo model of toxicity induced by lipopolysaccharide (LPS) on isolated rat colon and liver, we explored the extract effects on serotonin, dopamine and kynurenine pathways and the production of prostaglandin (PG)E2. Anti-proliferative effects were also evaluated against human colon cancer HCT116 cell line. Additionally, antimycotic effects were investigated against Trichophyton rubrum, Trichophyton interdigitale, Microsporum gypseum. Finally, in silico studies, including bioinformatics, network pharmacology and docking approaches were conducted in order to predict the putative targets underlying the observed pharmacological and microbiological effects. Futura 75 water extract was able to blunt LPS-induced reduction of serotonin and increase of dopamine and kynurenine turnover, in rat colon. Additionally, the reduction of PGE2 levels was observed in both colon and liver specimens, as well. The extract inhibited the HCT116 cell viability, the growth of T. rubrum and T. interdigitale and the activity of tyrosinase, in vitro, whereas in silico studies highlighting the inhibitions of cyclooxygenase-1 (induced by carvacrol), carbonic anhydrase IX (induced by chlorogenic acid and gallic acid) and lanosterol 14-α-demethylase (induced by rutin) further support the observed pharmacological and antimycotic effects. The present findings suggest female inflorescences from industrial hemp as high quality by-products, thus representing promising sources of nutraceuticals and cosmeceuticals against inflammatory and infectious diseases.
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Bobis O, Moise AR, Ballesteros I, Reyes ES, Durán SS, Sánchez-Sánchez J, Cruz-Quintana S, Giampieri F, Battino M, Alvarez-Suarez JM. Eucalyptus honey: Quality parameters, chemical composition and health-promoting properties. Food Chem 2020; 325:126870. [PMID: 32387927 DOI: 10.1016/j.foodchem.2020.126870] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2019] [Revised: 04/17/2020] [Accepted: 04/18/2020] [Indexed: 01/20/2023]
Abstract
Eucalyptus honey is an important unifloral honey commercialized worldwide and much desired by consumers due to the medicinal properties attributed to it because of the plant from which it is produced. In general, eucalyptus honey has been classified as being rich in pollen grains from the eucalyptus tree as well as having physicochemical characteristics that, in a way, have made it stand out from other honeys. Similar to other types of honey, eucalyptus honey can suffer contaminations and adulterations that compromise its quality, safety and authenticity. Thus, detailed knowledge of the composition and properties of this monofloral honeys is of great importance. With this background, the aim of this review is to present and discuss recent data regarding the physicochemical characteristics, chemical and health-promoting properties of eucalyptus honey as well as microbial contamination, authenticity, processing and adulteration.
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Affiliation(s)
- Otilia Bobis
- Life Science Institute, Apiculture and Sericulture Department, University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca, Cluj-Napoca, Romania
| | - Adela Ramona Moise
- Life Science Institute, Apiculture and Sericulture Department, University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca, Cluj-Napoca, Romania
| | - Isabel Ballesteros
- Facultad de Ingeniería y Ciencias Aplicadas. Grupo de Investigación en Biotecnología Aplicada a Biomedicina (BIOMED), Universidad de Las Américas, Quito, Ecuador
| | - Estefanía Sánchez Reyes
- Hispano-Luso Institute for Agricultural Research (CIALE), University of Salamanca, Salamanca, Spain; Catholic University of Ávila (UCAVILA), Ávila, Spain
| | - Silvia Sánchez Durán
- Hispano-Luso Institute for Agricultural Research (CIALE), University of Salamanca, Salamanca, Spain
| | - José Sánchez-Sánchez
- Hispano-Luso Institute for Agricultural Research (CIALE), University of Salamanca, Salamanca, Spain
| | - Sandra Cruz-Quintana
- Facultad de Ciencias Agropecuarias, Universidad Técnica de Ambato, Tungurahua, Ecuador
| | - Francesca Giampieri
- Dipartimento di Scienze Cliniche Specialistiche ed Odontostomatologiche (DISCO)-Sez, Biochimica, Facoltà di Medicina, Università Politecnica delle Marche, Ancona, Italy; Northwest University, Shaanxi, China; Nutrition and Food Science Group, Department of Analytical and Food Chemistry, CITACA, CACTI, University of Vigo, Vigo, Spain
| | - Maurizio Battino
- Dipartimento di Scienze Cliniche Specialistiche ed Odontostomatologiche (DISCO)-Sez, Biochimica, Facoltà di Medicina, Università Politecnica delle Marche, Ancona, Italy; Nutrition and Food Science Group, Department of Analytical and Food Chemistry, CITACA, CACTI, University of Vigo, Vigo, Spain; International Research Center for Food Nutrition and Safety, Jiangsu University, Zhenjiang, China
| | - José M Alvarez-Suarez
- Facultad de Ingeniería y Ciencias Aplicadas. Grupo de Investigación en Biotecnología Aplicada a Biomedicina (BIOMED), Universidad de Las Américas, Quito, Ecuador; King Fahd Medical Research Center, King Abdulaziz University, Saudi Arabia.
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Liu W, Zhang Y, Li M, Han D, Liu W. Determination of invert syrup adulterated in acacia honey by terahertz spectroscopy with different spectral features. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE 2020; 100:1913-1921. [PMID: 31846080 DOI: 10.1002/jsfa.10202] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/09/2019] [Revised: 11/24/2019] [Accepted: 12/17/2019] [Indexed: 06/10/2023]
Abstract
BACKGROUND Invert syrup is a common adulterant in honey falsification, thus generating risk for consumers. Most of the methods developed are tedious and time-consuming for manufactures and consumers. However, terahertz spectroscopy provides analytical information in a simple, rapid, and environmentally friendly manner. Subsequently, 3 kinds of terahertz spectroscopic characteristics data, the absorption coefficient, the slope of the absorption coefficient spectra, and the area of the absorption coefficient spectra, were employed for determination of acacia honey adulterated with invert syrup. RESULTS Single linear regression (SLR) models with different terahertz spectroscopic features were adopted to predict the syrup adulterant proportion in acacia honey. The best SLR model used the area of the absorption coefficient, displaying an adjusted correlation coefficient of 0.985 and a root-mean-square error of 3.201. Meanwhile, multiple linear regression (MLR) models using a successive projections algorithm for variables selection were implemented. The MLR model considered the integral area of the absorption coefficient spectra, as the inputs yielded the best result with less variables selected, higher R c 2 and R p 2 , lower root-mean-square error of calibration and prediction, as well as higher residual predictive deviation. CONCLUSIONS The results indicate terahertz spectroscopy combined with the integral area of the absorption coefficient spectra is reliable enough for invert syrup proportion quantification in acacia honey and is also a rapid and nondestructive determination method for other honey adulterants. © 2019 Society of Chemical Industry.
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Affiliation(s)
- Wen Liu
- School of Chemical Engineering, Xiangtan University, Xiangtan, China
| | - Yuying Zhang
- Market Supervision and Administration of Xihu District, Hangzhou, China
| | - Ming Li
- Tianjin Key Laboratory of Food Biotechnology, College of Biotechnology and Food Science, Tianjin University of Commerce, Tianjin, China
| | - Donghai Han
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China
| | - Wenjie Liu
- School of Chemical Engineering, Xiangtan University, Xiangtan, China
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dos Santos HD, Alvarenga YA, Boffo EF. 1H NMR metabolic fingerprinting of Chapada Diamantina/Bahia (Brazil) coffees as a tool to assessing their qualities. Microchem J 2020. [DOI: 10.1016/j.microc.2019.104293] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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Compositional identification and authentication of Chinese honeys by 1H NMR combined with multivariate analysis. Food Res Int 2019; 130:108936. [PMID: 32156383 DOI: 10.1016/j.foodres.2019.108936] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2019] [Revised: 12/19/2019] [Accepted: 12/19/2019] [Indexed: 12/21/2022]
Abstract
Honey authentication has been becoming more and more important and necessary to the honey producers, the consumers and the market regulatory authority due to its favorite organoleptic and healthy properties, high value and increasing export but prevalent falsification practice for economic motivation in China and the potential health risk of adulterated honey. In this study, we obtained the spectral profiles of 90 authentic and 75 adulterated Chinese honey samples by means of high resolution nuclear magnetic resonance (NMR) spectroscopy, and 65 kinds of major and minor components in honey were identified and quantified from their NMR spectra. Combining with the multivariate statistical analyses including principal component analysis (PCA), linear discriminant analysis (LDA), and orthogonal partial least squared-discriminant analysis (OPLS-DA), the discrimination models were successfully established to identify the adulterated honeys from the authentic ones with an accurate rate of 97.6%. Furthermore, the corresponding volcano plot was used to screen out 8 components including proline, xylobiose, uridine, β-glucose, melezitose, turanose, lysine and an unknown component, which are responsible for the differentiation between the authentic and adulterated honeys and will help to control Chinese domestic honey market.
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Geana EI, Ciucure CT. Establishing authenticity of honey via comprehensive Romanian honey analysis. Food Chem 2019; 306:125595. [PMID: 31610324 DOI: 10.1016/j.foodchem.2019.125595] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2019] [Revised: 08/08/2019] [Accepted: 09/24/2019] [Indexed: 11/16/2022]
Abstract
Assessing the authenticity of honey is a serious problem that has gained much interest internationally because honey has frequently been subject to various fraudulent practices, including mislabelling of botanical and geographical origin and mixing with sugar syrups or honey of lower quality. To protect the health of consumers and avoid competition, which could create an unstable market, consumers, beekeepers and regulatory bodies are interested in having reliable analytical methodologies to detect non-compliant honey. This paper gives an overview of the different approaches used to assess the authenticity of honey, specifically by the application of advanced instrumental techniques, including spectrometric, spectroscopic and chromatographic methods coupled with chemometric interpretation of the data. Recent development in honey analysis and application of the honey authentication process in the Romanian context are highlighted, and future trends in the process of detecting and eliminating fraudulent practices in honey production are discussed.
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Affiliation(s)
- Elisabeta-Irina Geana
- National Research & Development Institute for Cryogenics and Isotopic Technologies - ICSI Rm. Valcea, 4th Uzinei Street, 240050 Rm. Valcea, Romania.
| | - Corina Teodora Ciucure
- National Research & Development Institute for Cryogenics and Isotopic Technologies - ICSI Rm. Valcea, 4th Uzinei Street, 240050 Rm. Valcea, Romania
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36
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Seeking of reliable markers related to Greek nectar honey geographical and botanical origin identification based on sugar profile by HPLC-RI and electro-chemical parameters using multivariate statistics. Eur Food Res Technol 2019. [DOI: 10.1007/s00217-018-3216-z] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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37
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Oroian M, Ropciuc S, Paduret S. Honey authentication using rheological and physicochemical properties. JOURNAL OF FOOD SCIENCE AND TECHNOLOGY 2018; 55:4711-4718. [PMID: 30482967 PMCID: PMC6233437 DOI: 10.1007/s13197-018-3415-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Revised: 07/13/2018] [Accepted: 09/05/2018] [Indexed: 11/30/2022]
Abstract
The aim of this study was to evaluate the influence of honey botanical origins on rheological parameters. In order to achieve the correlation, fifty-one honey samples, of different botanical origins (acacia, polyfloral, sunflower, honeydew, and tilia), were investigated. The honey samples were analysed from physicochemical (moisture content, fructose, glucose and sucrose content) and rheological point of view (dynamic viscosity-loss modulus G″, elastic modulus G', complex viscosity η*, shear storage compliance-J' and shear loss compliance J″). The rheological properties were predicted using the Artificial Neural Networks based on moisture content, glucose, fructose and sucrose. The models which predict better the rheological parameters in function of fructose, glucose, sucrose and moisture content are: MLP-1 hidden layer is predicting the G″, η* and J″, respectively, MLP-2 hidden layers the J', while MLP-3 hidden layers the G', respectively. The physicochemical and rheological parameters were submitted to statistical analysis as follows: Principal component analysis (PCA), Linear discriminant analysis (LDA) and Artificial neural network (ANN) in order to evaluate the usefulness of the parameters studied for honey authentication. The LDA was found the suitable method for honey botanical authentication, reaching a correct cross validation of 94.12% of the samples.
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Affiliation(s)
- Mircea Oroian
- Faculty of Food Engineering, Stefan cel Mare University of Suceava, Suceava, Romania
| | - Sorina Ropciuc
- Faculty of Food Engineering, Stefan cel Mare University of Suceava, Suceava, Romania
| | - Sergiu Paduret
- Faculty of Food Engineering, Stefan cel Mare University of Suceava, Suceava, Romania
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Başar B, Özdemir D. Determination of honey adulteration with beet sugar and corn syrup using infrared spectroscopy and genetic-algorithm-based multivariate calibration. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE 2018; 98:5616-5624. [PMID: 29696655 DOI: 10.1002/jsfa.9105] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/14/2017] [Revised: 02/19/2018] [Accepted: 04/19/2018] [Indexed: 06/08/2023]
Abstract
BACKGROUND Fourier transform infrared spectroscopy (FTIR) equipped with attenuated total reflectance accessory was used to determine honey adulteration. Adulterated honey samples were prepared by adding corn syrup, beet sugar and water as adulterants to the pure honey samples in various amounts. The spectra of adulterated and pure honey samples (n = 209) were recorded between 4000 and 600 cm-1 wavenumber range. RESULTS Genetic-algorithm-based inverse least squares (GILS) and partial least squares (PLS) methods were used to determine honey content and amount of adulterants. Results indicated that the multivariate calibration generated with GILS could produce successful models with standard error of cross-validation in the range 0.97-2.52%, and standard error of prediction between 0.90 and 2.19% (% w/w) for all the components contained in the adulterated samples. Similar results were obtained with PLS, generating slightly larger standard error of cross-validation and standard error of prediction values. CONCLUSION The fact that the models were generated with several honey samples coming from various different botanical and geographical origins, quite successful results were obtained for the detection of adulterated honey samples with a simple Fourier transform infrared spectroscopy technique. Having a genetic algorithm for variable selection helped to build somewhat better models with GILS compared with PLS. © 2018 Society of Chemical Industry.
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Affiliation(s)
- Başak Başar
- Faculty of Science, Department of Chemistry, Izmir Institute of Technology, İzmir, Turkey
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Hatzakis E. Nuclear Magnetic Resonance (NMR) Spectroscopy in Food Science: A Comprehensive Review. Compr Rev Food Sci Food Saf 2018; 18:189-220. [PMID: 33337022 DOI: 10.1111/1541-4337.12408] [Citation(s) in RCA: 135] [Impact Index Per Article: 22.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2018] [Revised: 09/28/2018] [Accepted: 10/18/2018] [Indexed: 12/15/2022]
Abstract
Nuclear magnetic resonance (NMR) spectroscopy is a robust method, which can rapidly analyze mixtures at the molecular level without requiring separation and/or purification steps, making it ideal for applications in food science. Despite its increasing popularity among food scientists, NMR is still an underutilized methodology in this area, mainly due to its high cost, relatively low sensitivity, and the lack of NMR expertise by many food scientists. The aim of this review is to help bridge the knowledge gap that may exist when attempting to apply NMR methodologies to the field of food science. We begin by covering the basic principles required to apply NMR to the study of foods and nutrients. A description of the discipline of chemometrics is provided, as the combination of NMR with multivariate statistical analysis is a powerful approach for addressing modern challenges in food science. Furthermore, a comprehensive overview of recent and key applications in the areas of compositional analysis, food authentication, quality control, and human nutrition is provided. In addition to standard NMR techniques, more sophisticated NMR applications are also presented, although limitations, gaps, and potentials are discussed. We hope this review will help scientists gain some of the knowledge required to apply the powerful methodology of NMR to the rich and diverse field of food science.
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Affiliation(s)
- Emmanuel Hatzakis
- Dept. of Food Science and Technology, The Ohio State Univ., Parker Building, 2015 Fyffe Rd., Columbus, OH, U.S.A.,Foods for Health Discovery Theme, The Ohio State Univ., Parker Building, 2015 Fyffe Rd., Columbus, OH, U.S.A
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Medina S, Pereira JA, Silva P, Perestrelo R, Câmara JS. Food fingerprints - A valuable tool to monitor food authenticity and safety. Food Chem 2018; 278:144-162. [PMID: 30583355 DOI: 10.1016/j.foodchem.2018.11.046] [Citation(s) in RCA: 89] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2018] [Revised: 11/02/2018] [Accepted: 11/08/2018] [Indexed: 12/18/2022]
Abstract
In recent years, food frauds and adulterations have increased significantly. This practice is motivated by fast economical gains and has an enormous impact on public health, representing an important issue in food science. In this context, this review has been designed to be a useful guide of potential biomarkers of food authenticity and safety. In terms of food authenticity, we focused our attention on biomarkers reported to specify different botanical or geographical origins, genetic diversity or production systems, while at the food safety level, molecular evidences of food adulteration or spoilage will be highlighted. This report is the first to combine results from recent studies in a format that allows a ready overview of metabolites (<1200 Da) and potentially molecular routes to monitor food authentication and safety. This review has therefore the potential to unveil important aspects in food adulteration and safety, contributing to improve the current regulatory frameworks.
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Affiliation(s)
- Sonia Medina
- CQM - Centro de Química da Madeira, Universidade da Madeira, Campus da Penteada, 9020-105 Funchal, Portugal.
| | - Jorge A Pereira
- CQM - Centro de Química da Madeira, Universidade da Madeira, Campus da Penteada, 9020-105 Funchal, Portugal
| | - Pedro Silva
- CQM - Centro de Química da Madeira, Universidade da Madeira, Campus da Penteada, 9020-105 Funchal, Portugal
| | - Rosa Perestrelo
- CQM - Centro de Química da Madeira, Universidade da Madeira, Campus da Penteada, 9020-105 Funchal, Portugal
| | - José S Câmara
- CQM - Centro de Química da Madeira, Universidade da Madeira, Campus da Penteada, 9020-105 Funchal, Portugal.
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Sobrino-Gregorio L, Bataller R, Soto J, Escriche I. Monitoring honey adulteration with sugar syrups using an automatic pulse voltammetric electronic tongue. Food Control 2018. [DOI: 10.1016/j.foodcont.2018.04.003] [Citation(s) in RCA: 52] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Razali MTA, Zainal ZA, Maulidiani M, Shaari K, Zamri Z, Mohd Idrus MZ, Khatib A, Abas F, Ling YS, Rui LL, Ismail IS. Classification of Raw Stingless Bee Honeys by Bee Species Origins Using the NMR- and LC-MS-Based Metabolomics Approach. Molecules 2018; 23:E2160. [PMID: 30154302 PMCID: PMC6225217 DOI: 10.3390/molecules23092160] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2018] [Revised: 07/30/2018] [Accepted: 07/31/2018] [Indexed: 12/30/2022] Open
Abstract
The official standard for quality control of honey is currently based on physicochemical properties. However, this method is time-consuming, cost intensive, and does not lead to information on the originality of honey. This study aims to classify raw stingless bee honeys by bee species origins as a potential classifier using the NMR-LCMS-based metabolomics approach. Raw stingless bee honeys were analysed and classified by bee species origins using proton nuclear magnetic resonance (¹H-NMR) spectroscopy and an ultra-high performance liquid chromatography-quadrupole time of flight mass spectrometry (UHPLC-QTOF MS) in combination with chemometrics tools. The honey samples were able to be classified into three different groups based on the bee species origins of Heterotrigona itama, Geniotrigona thoracica, and Tetrigona apicalis. d-Fructofuranose (H. itama honey), β-d-Glucose, d-Xylose, α-d-Glucose (G. thoracica honey), and l-Lactic acid, Acetic acid, l-Alanine (T. apicalis honey) ident d-Fructofuranose identified via ¹H-NMR data and the diagnostic ions of UHPLC-QTOF MS were characterized as the discriminant metabolites or putative chemical markers. It could be suggested that the quality of honey in terms of originality and purity can be rapidly determined using the classification technique by bee species origins via the ¹H-NMR- and UHPLC-QTOF MS-based metabolomics approach.
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Affiliation(s)
- Muhammad Taufiq Atsifa Razali
- Laboratory of Natural Products, Institute of Bioscience, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia.
| | - Zaim Akmal Zainal
- Laboratory of Natural Products, Institute of Bioscience, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia.
| | - M Maulidiani
- Laboratory of Natural Products, Institute of Bioscience, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia.
| | - Khozirah Shaari
- Laboratory of Natural Products, Institute of Bioscience, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia.
| | - Zulkifli Zamri
- Syamille Agrofarm & Resort Sdn. Bhd., Lot 3749 & 3750, Jalan Lata Perahu, Kampung Chuar Hulu, Mukim Chegar Galah, 33020 Kati, Kuala Kangsar, Perak, Malaysia.
| | - Mohd Zainuri Mohd Idrus
- Syamille Agrofarm & Resort Sdn. Bhd., Lot 3749 & 3750, Jalan Lata Perahu, Kampung Chuar Hulu, Mukim Chegar Galah, 33020 Kati, Kuala Kangsar, Perak, Malaysia.
| | - Alfi Khatib
- Department of Pharmaceutical Chemistry, Kulliyyah of Pharmacy, International Islamic University Malaysia (IIUM), Jalan Sultan Ahmad Shah, Bandar Indera Mahkota, 25200 Kuantan, Pahang, Malaysia.
| | - Faridah Abas
- Laboratory of Natural Products, Institute of Bioscience, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia.
| | - Yee Soon Ling
- Biotechnology Research Institute, Universiti Malaysia Sabah, Jalan UMS, 88400 Kota Kinabalu, Sabah, Malaysia.
| | - Lim Leong Rui
- Biotechnology Research Institute, Universiti Malaysia Sabah, Jalan UMS, 88400 Kota Kinabalu, Sabah, Malaysia.
| | - Intan Safinar Ismail
- Laboratory of Natural Products, Institute of Bioscience, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia.
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Lastra-Mejías M, Torreblanca-Zanca A, Aroca-Santos R, Cancilla JC, Izquierdo J, Torrecilla JS. Characterization of an array of honeys of different types and botanical origins through fluorescence emission based on LEDs. Talanta 2018; 185:196-202. [DOI: 10.1016/j.talanta.2018.03.060] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2018] [Revised: 03/17/2018] [Accepted: 03/21/2018] [Indexed: 11/29/2022]
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Liu W, Zhang Y, Yang S, Han D. Terahertz time-domain attenuated total reflection spectroscopy applied to the rapid discrimination of the botanical origin of honeys. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2018; 196:123-130. [PMID: 29444494 DOI: 10.1016/j.saa.2018.02.009] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/14/2017] [Revised: 01/09/2018] [Accepted: 02/04/2018] [Indexed: 06/08/2023]
Abstract
A new technique to identify the floral resources of honeys is demanded. Terahertz time-domain attenuated total reflection spectroscopy combined with chemometrics methods was applied to discriminate different categorizes (Medlar honey, Vitex honey, and Acacia honey). Principal component analysis (PCA), cluster analysis (CA) and partial least squares-discriminant analysis (PLS-DA) have been used to find information of the botanical origins of honeys. Spectral range also was discussed to increase the precision of PLS-DA model. The accuracy of 88.46% for validation set was obtained, using PLS-DA model in 0.5-1.5THz. This work indicated terahertz time-domain attenuated total reflection spectroscopy was an available approach to evaluate the quality of honey rapidly.
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Affiliation(s)
- Wen Liu
- College of Food Science and Nutritional Engineering, China Agricultural University, No.17 Tsinghua East Road, Haidian District, Beijing, 100083, China
| | - Yuying Zhang
- College of Food Science and Nutritional Engineering, China Agricultural University, No.17 Tsinghua East Road, Haidian District, Beijing, 100083, China
| | - Si Yang
- College of Food Science and Nutritional Engineering, China Agricultural University, No.17 Tsinghua East Road, Haidian District, Beijing, 100083, China
| | - Donghai Han
- College of Food Science and Nutritional Engineering, China Agricultural University, No.17 Tsinghua East Road, Haidian District, Beijing, 100083, China.
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Pita-Calvo C, Vázquez M. Honeydew Honeys: A Review on the Characterization and Authentication of Botanical and Geographical Origins. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2018; 66:2523-2537. [PMID: 29462557 DOI: 10.1021/acs.jafc.7b05807] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
The commercial interest in honeydew honeys (from the secretions of plants or the excretions of plant-sucking insects found on plants) is increasing because of their higher therapeutic properties compared with those of most blossom honeys (from nectar). However, honeydew honeys have been less studied than blossom honeys. In this work, studies carried out to characterize and authenticate honeydew honeys by their botanical and geographical origins have been reviewed. The identification of honey origins has been approached by two ways: by the analysis of chemical markers and by the development of analytical methodologies combined with multivariate analyses. Some compounds have been suggested as specific botanical markers of several honeydew honeys, such as quercitol and trans-oak lactone for oak honey, 2-aminoacetophenone and propylanisol for holm oak honey, and 1-chloro-octane and tridecane for pine honey. The presence of 3-carene and an unidentified compound in samples was proposed as a way discriminate between Greek and Turkish pine honeys. Chemometric analyses have been applied on chemical compositions and on physicochemical, microscopic, and spectral parameters and have proved to be valuable methods for authenticating honeydew honeys. Analytical methods based on spectral information are suitable for the routine control of honeydew-honey origins because they are fast and require easy sample preparations.
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Affiliation(s)
- Consuelo Pita-Calvo
- Department of Analytical Chemistry, Faculty of Veterinary Science , University of Santiago de Compostela , 27002 Lugo , Spain
| | - Manuel Vázquez
- Department of Analytical Chemistry, Faculty of Veterinary Science , University of Santiago de Compostela , 27002 Lugo , Spain
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1H-NMR Profiling and Chemometric Analysis of Selected Honeys from South Africa, Zambia, and Slovakia. Molecules 2018; 23:molecules23030578. [PMID: 29510542 PMCID: PMC6017463 DOI: 10.3390/molecules23030578] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2017] [Revised: 01/18/2018] [Accepted: 01/23/2018] [Indexed: 12/14/2022] Open
Abstract
Honey is the natural sweet substance produced by honeybee from nectar or honeydew, exhibiting several nutritional and health benefits. It contains a complex mixture of compounds in different proportions, with sugars being the main component. The physicochemical characteristics of ten honeys were evaluated; represented by five, three, and two from South Africa, Slovakia, and Zambia, respectively. The range of values for the pH (3.75–4.38), electrical conductivity (99–659 µS/cm), and moisture content (14.2–17.7%) are within the recommended limits for quality honeys. 1H-NMR (Nuclear Magnetic Resonance) profiling of the honeys in D2O was determined, and the data were analysed by chemometrics. This method is fast, reproducible, and sample pre-treatment is not necessary. The 1H-NMR fingerprints of various chemical shift regions showed similarity or dissimilarity across geographical origins that are useful for identification, detection of adulteration, and quality control. The principal component analysis PCA and partial linear square discriminant analysis PLS-DA of the 1H-NMR profiles successively categorises the honeys into two chemically related groups. The R2 values are higher than the corresponding Q2 values for all samples, confirming the reliability of the model. Honeys in the same cluster contain similar metabolites and belong to the same botanic or floral origin.
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Karabagias IK, Vlasiou M, Kontakos S, Drouza C, Kontominas MG, Keramidas AD. Geographical discrimination of pine and fir honeys using multivariate analyses of major and minor honey components identified by 1H NMR and HPLC along with physicochemical data. Eur Food Res Technol 2018. [DOI: 10.1007/s00217-018-3040-5] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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48
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FTIR-ATR spectroscopy of pollen and honey as a tool for unifloral honey authentication. The case study of rape honey. Food Control 2018. [DOI: 10.1016/j.foodcont.2017.07.015] [Citation(s) in RCA: 76] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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Gerhardt N, Birkenmeier M, Schwolow S, Rohn S, Weller P. Volatile-Compound Fingerprinting by Headspace-Gas-Chromatography Ion-Mobility Spectrometry (HS-GC-IMS) as a Benchtop Alternative to 1H NMR Profiling for Assessment of the Authenticity of Honey. Anal Chem 2018; 90:1777-1785. [DOI: 10.1021/acs.analchem.7b03748] [Citation(s) in RCA: 86] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Natalie Gerhardt
- Institute
for Instrumental Analytics and Bioanalysis, Mannheim University of Applied Sciences, 68163 Mannheim, Germany
| | - Markus Birkenmeier
- Institute
for Instrumental Analytics and Bioanalysis, Mannheim University of Applied Sciences, 68163 Mannheim, Germany
| | - Sebastian Schwolow
- Institute
for Instrumental Analytics and Bioanalysis, Mannheim University of Applied Sciences, 68163 Mannheim, Germany
| | - Sascha Rohn
- Hamburg
School of Food Science, Institute of Food Chemistry, University of Hamburg, 20146 Hamburg, Germany
| | - Philipp Weller
- Institute
for Instrumental Analytics and Bioanalysis, Mannheim University of Applied Sciences, 68163 Mannheim, Germany
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