The Use of SPME-GC-MS IR and Raman Techniques for Botanical and Geographical Authentication and Detection of Adulteration of Honey

Sotiropoulou, Nefeli Sofia; Xagoraris, Marinos; Revelou, Panagiota-Kyriaki; Kaparakou, Eleftheria H.; Kanakis, Charalabos D.; Pappas, Christos S.; Tarantilis, Petros Α.

doi:10.3390/foods10071671

Cited by 31 publications

(18 citation statements)

References 97 publications

(220 reference statements)

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“…Nuclear magnetic resonance (NMR) [ 23 , 24 ], near-infrared (NIR) [ 25 , 26 , 27 , 28 ], fluorescence [ 29 ], and ultraviolet (UV) [ 28 , 30 , 31 , 32 , 33 ] spectroscopies, among others, have been widely employed as fingerprinting methodologies to address honey authenticity issues and to prevent and detect frauds. Chromatographic fingerprinting using both liquid chromatography and gas chromatography (for the analysis of non-volatile and volatile compounds, respectively), often coupled with mass spectrometry (MS), has also been described for the characterization and authentication of honey [ 34 , 35 , 36 ].…”

Section: Introductionmentioning

confidence: 99%

Characterization, Classification and Authentication of Spanish Blossom and Honeydew Honeys by Non-Targeted HPLC-UV and Off-Line SPE HPLC-UV Polyphenolic Fingerprinting Strategies

García-Seval

Martínez-Alfaro

Saurina

et al. 2022

Foods

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Honey is a highly consumed natural product produced by bees which is susceptible to fraudulent practices, some of them regarding its botanical origin. Two HPLC-UV non-targeted fingerprinting approaches were evaluated in this work to address honey characterization, classification, and authentication based on honey botanical variety. The first method used no sample treatment and a universal reversed-phase chromatographic separation. On the contrary, the second method was based on an off-line SPE preconcentration method, optimized for the isolation and extraction of polyphenolic compounds, and a reversed-phase chromatographic separation optimized for polyphenols as well. For the off-line SPE method, the use of HLB (3 mL, 60 mg) cartridges, and 6 mL of methanol as eluent, allowed to achieve acceptable recoveries for the selected polyphenols. The obtained HPLC-UV fingerprints were subjected to an exploratory principal component analysis (PCA) and a classificatory partial least squares-discriminant analysis (PLS-DA) to evaluate their viability as sample chemical descriptors for authentication purposes. Both HPLC-UV fingerprints resulted to be appropriate to discriminate between blossom honeys and honeydew honeys. However, a superior performance was accomplished with off-line SPE HPLC-UV polyphenolic fingerprints, being able to differentiate among the different blossom honey samples under the study (orange/lemon blossom, rosemary, thyme, eucalyptus, and heather). In general, this work demonstrated the feasibility of HPLC-UV fingerprints, especially those obtained after off-line SPE polyphenolic isolation and extraction, to be employed as honey chemical descriptors to address the characterization and classification of honey samples according to their botanical origin.

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Section: Introductionmentioning

confidence: 99%

Characterization, Classification and Authentication of Spanish Blossom and Honeydew Honeys by Non-Targeted HPLC-UV and Off-Line SPE HPLC-UV Polyphenolic Fingerprinting Strategies

García-Seval

Martínez-Alfaro

Saurina

et al. 2022

Foods

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“…Honey is another matrix well studied by GC. It has been demonstrated in several works [26,34,35] that the volatile fraction of honey is strongly related to its floral origin. This raises substantial interest, most of all from a commercial point of view, because honey produced from a single plant (or at least having a higher percentage of pollen of a single plant) has generally a higher commercial value than "multifloral" honeys that are more common but present a poorer taste.…”

Section: Gas Chromatography (Gc) and Chemometricsmentioning

confidence: 99%

Extracting Information and Enhancing the Quality of Separation Data: A Review on Chemometrics-Assisted Analysis of Volatile, Soluble and Colloidal Samples

et al. 2023

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Instrument automation, technological advancements and improved computational power made separation science an extremely data-rich approach, requiring the use of statistical and data analysis tools that are able to optimize processes and combine multiple outputs. The use of chemometrics is growing, greatly improving the ability to extract meaningful information. Separation–multidetection generates multidimensional data, whose elaboration should not be left to the discretion of the operator. However, some applications or techniques still suffer from the lack of method optimization through DoE and downstream multivariate analysis, limiting their potential. This review aims at summarizing how chemometrics can assist analytical chemists in terms of data elaboration and method design, focusing on what can be achieved by applying chemometric approaches to separation science. Recent applications of chemometrics in separation analyses, in particular in gas, liquid and size-exclusion chromatography, together with field flow fractionation, will be detailed to visualize the state of the art of separation chemometrics, encompassing volatile, soluble and solid (colloidal) analytes. The samples considered will range from food chemistry and environmental chemistry to bio/pharmaceutical science.

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“…Raman and FTIR analyses were also used for the adulterant [130,131] and authenticity analyses of various honeys [18,131,132]. For instance, Raman spectroscopy combined with air PLS-LDA was successfully applied for adulterant detection in honey, such as high fructose corn syrup and maltose syrup, where the Raman spectroscopy fluorescence background was reduced by the PLS pretreatment [133].…”

Section: Honey Characterization Through Spectroscopic Techniquesmentioning

confidence: 99%

Honey Quality and Microplastic Migration from Food Packaging: A Potential Threat for Consumer Health?

et al. 2022

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In ancient Greece, people said that “honey is the Food of the Gods”, and they were right. They believed that honey fell from the sky, with the morning dew, on the flowers and leaves, and from this point, the bees collected it. Honey is one of the most nutritious food products, which can be found in most homes. A lot of honey products are stored in different types of packaging materials, including plastics. Plastic packaging has been studied for the migration of plasticizers, chemical compounds, and MPs and NPs in foodstuffs. Most of them have been achieved through food simulations, while some studies managed to detect and isolate MPs/NPs. Recent studies presented evidence for the presence of MPs/NPs in honey products but not directly connected to food packaging or to the different types of honey and their properties (viscosity, pH value, and moisture content) or their storing conditions (temperature, humidity, light, and time). Spectroscopic and analytical techniques like Raman, FTIR, HPLC, and GC-MS are in the foreground for MP/NP detection and identification, but a universal way of isolation, detection, characterization, and quantification has not yet been found. This leaves an open field for more work to be done to clarify the factors affecting the migration of plastic packaging material in honey.

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The Use of SPME-GC-MS IR and Raman Techniques for Botanical and Geographical Authentication and Detection of Adulteration of Honey

Cited by 31 publications

References 97 publications

Characterization, Classification and Authentication of Spanish Blossom and Honeydew Honeys by Non-Targeted HPLC-UV and Off-Line SPE HPLC-UV Polyphenolic Fingerprinting Strategies

Characterization, Classification and Authentication of Spanish Blossom and Honeydew Honeys by Non-Targeted HPLC-UV and Off-Line SPE HPLC-UV Polyphenolic Fingerprinting Strategies

Extracting Information and Enhancing the Quality of Separation Data: A Review on Chemometrics-Assisted Analysis of Volatile, Soluble and Colloidal Samples

Honey Quality and Microplastic Migration from Food Packaging: A Potential Threat for Consumer Health?

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