Discrimination of botanical origins for Chinese honey according to free amino acids content by high‐performance liquid chromatography with fluorescence detection with chemometric approaches

Chen, Hui; Jin, Linghe; Chang, Qiao‐Ying; Peng, Tao; Hu, Xueyan; Fan, Chun‐Lin; Pang, Guo‐Fang; Lü, Meiling; Wang, Wenwen

doi:10.1002/jsfa.8008

Cited by 28 publications

(18 citation statements)

References 19 publications

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“…For example, the range of proline content for rapeseed honeys was from 122.50 to 336.02 mg/kg, the sunflower honeys from 214.06 to 601.11 mg/kg, the buckwheat honeys from 412.56 to 874.62 mg/kg, and Codonopsis honeys from 380.37 to 699.53 mg/kg. These results are in accordance with other reports of variance in proline levels samples from unifloral honeys with different geographical sources [ 21 , 23 ]. The proline content of the three multifloral honey samples (S17, C10, C11) was 612.55, 497.74 and 219.77 mg/kg, separately ( Supplementary Table S1 ).…”

Section: Resultssupporting

confidence: 93%

Characterization of Chinese Unifloral Honeys Based on Proline and Phenolic Content as Markers of Botanical Origin, Using Multivariate Analysis

Wen

Zhang

et al. 2017

Molecules

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The phenolic and proline content were determined in honey samples of different floral origins (rapeseed, sunflower, buckwheat and Codonopsis) from five different regions of China. The phenolic and proline profile of these samples were used to construct a statistical model to distinguish honeys from different floral origins. Significant differences were identified among the studied honey samples from multivariate chemometric methods. The proline content varied among the four types of honeys, with the values decreasing in the order: buckwheat > Codonopsis > sunflower > rapeseed. Rapeseed honeys contained a high level of benzoic acid, while rutin, p-coumaric acid, p-hydroxybenzoic acid were present at relatively high levels in buckwheat honeys. Principal component analysis (PCA) revealed that rapeseed honey could be distinguished from the other three unifloral honeys, and benzoic acid, proline and kaempferol could serve as potential floral markers. Using 18 phenolic compounds and proline the honey samples were satisfactorily classified according to floral origin at 94% correct prediction by linear discriminant analysis (LDA). The results indicated that phenolic compounds and proline were useful for the identification of the floral origin of the four type honeys.

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Section: Resultssupporting

confidence: 93%

Characterization of Chinese Unifloral Honeys Based on Proline and Phenolic Content as Markers of Botanical Origin, Using Multivariate Analysis

Wen

Zhang

et al. 2017

Molecules

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“…However, it always requires a panel of skilled assessors [ 22 ]. In addition, analytical and quantitative methods such as high-performance liquid chromatography (HPLC) and high-performance anion-exchange chromatography are also routinely performed, resulting in a discrimination obtained from the general fingerprints or from the different profiles of the components identified (e.g., amino acids, benzene derivatives, terpenes) [ 23 , 24 , 25 , 26 , 27 , 28 , 29 ]. However, these methods are laborious and time-consuming, require considerable analytical skills, involve a lot of tedious and complex pre-treatment of samples, and use many hazardous organic reagents that require high costs for storage and disposal [ 30 ].…”

Section: Introductionmentioning

confidence: 99%

Characterization of Sicilian Honeys Pollen Profiles Using a Commercial E-Tongue and Melissopalynological Analysis for Rapid Screening: A Pilot Study

Rosa

Marino

Leone

et al. 2018

Sensors

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Honey is usually classified as “unifloral” or “multifloral”, depending on whether a dominating pollen grain, originating from only one particular plant, or no dominant pollen type in the sample is found. Unifloral honeys are usually more expensive and appreciated than multifloral honeys, which highlights the importance of honey authenticity. Melissopalynological analysis is used to identify the botanical origin of honey, counting down the number of pollens grains of a honey sample, and calculating the respective percentages of the nectariferous pollens. In addition, sensory properties are also very important for honey characterization, and electronic senses emerged as useful tools for honey authentication. In this work, a comparison of the results obtained from melissopalynological analysis with those provided by a potentiometric electronic tongue is given, resulting in a 100% match between the two techniques.

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“…Because pollen is considered to be the main source of amino acids in honey, analysis of its content together with chemometric techniques can be used for estimation of botanical and geographical origin of honeys. There are many reports regarding the use of this analysis for the characterization of honey from different countries (Kečkeš et al 2013;Hermosin et al 2003;Zieliński et al 2014;Chen et al 2017). On the other hand, bees also contribute to free amino acids content in honey which results in high variability of particular components in honeys of the same botanical origin (Bogdanov and Martin 2002).…”

Section: Introductionmentioning

confidence: 99%

Free amino acids profile of Polish and Slovak honeys based on LC–MS/MS method without the prior derivatisation

et al. 2017

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LC-MS/MS method was applied for determination of free amino acids in honey without derivatisation steps. Twenty free amino acids including aspartic acid, asparagine, glutamic acid, glutamine, alanine, arginine, glycine, leucine, histidine, hydroxyproline, isoleucine, lysine, methionine, phenylalanine, proline, serine, threonine, tryptophan, valine and ornithine were analyzed in thirty honey samples from Poland and Slovakia. The analysis covered: acacia, lime, rape, multifloral and forest types of honey. Applied method was characterized to had good sensitivity with limit of detection ranged from 3.0 ng/cm for valine to 13.0 ng/cm for hydroxyproline. Average content of proline (main amino acid component in honey) ranged from 151.46 μg/g (rape honey from Slovakia) to 389.66 μg/g for forest honey (honeydew honey) from Poland. In analyzed honeys large quantities of glutamine, glutamic acid, lysine, phenylalanine, asparagine, alanine, and valine were also found.

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Discrimination of botanical origins for Chinese honey according to free amino acids content by high‐performance liquid chromatography with fluorescence detection with chemometric approaches

Abstract: It indicated that the free amino acid profile determined by HPLC-FLD can provide sufficient information to discriminate honey samples according to their botanical origins. © 2016 Society of Chemical Industry.

Cited by 28 publications

References 19 publications

Characterization of Chinese Unifloral Honeys Based on Proline and Phenolic Content as Markers of Botanical Origin, Using Multivariate Analysis

Characterization of Chinese Unifloral Honeys Based on Proline and Phenolic Content as Markers of Botanical Origin, Using Multivariate Analysis

Characterization of Sicilian Honeys Pollen Profiles Using a Commercial E-Tongue and Melissopalynological Analysis for Rapid Screening: A Pilot Study

Free amino acids profile of Polish and Slovak honeys based on LC–MS/MS method without the prior derivatisation

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