A Comparative Analysis of Hungarian Robinia and Milkweed Honeys Based on Their Chemical and Physical Characteristics

Kasper-Szél, Zs.; Amtmann, Mária; Takáts, Annamária; Kardos-Neumann, Á.

doi:10.1556/aalim.32.2003.4.7

Cited by 7 publications

(6 citation statements)

References 5 publications

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“…Our results of pH and electrical conductivity were similar to the results of Chinese researchers [ 27 ] in the case of the bastard indigo honeys. Another Hungarian study on milkweed honeys found that the milkweed samples were more acidic than acacia honeys, as it was also proven by our study [ 28 ]. Chestnut honeys showed lower electrical conductivity in average than in the aforementioned European honey study, and in the case of some honey samples the values were below the limit of the European legislation (0.8 mS/cm).…”

Section: Resultssupporting

confidence: 87%

Origin Identification of Hungarian Honey Using Melissopalynology, Physicochemical Analysis, and Near Infrared Spectroscopy

et al. 2021

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The objective of the study was to check the authenticity of Hungarian honey using physicochemical analysis, near infrared spectroscopy, and melissopalynology. In the study, 87 samples from different botanical origins such as acacia, bastard indigo, rape, sunflower, linden, honeydew, milkweed, and sweet chestnut were collected. The samples were analyzed by physicochemical methods (pH, electrical conductivity, and moisture), melissopalynology (300 pollen grains counted), and near infrared spectroscopy (NIRS:740–1700 nm). During the evaluation of the data PCA-LDA models were built for the classification of different botanical and geographical origins, using the methods separately, and in combination (low-level data fusion). PC number optimization and external validation were applied for all the models. Botanical origin classification models were >90% and >55% accurate in the case of the pollen and NIR methods. Improved results were obtained with the combination of the physicochemical, melissopalynology, and NIRS techniques, which provided >99% and >81% accuracy for botanical and geographical origin classification models, respectively. The combination of these methods could be a promising tool for origin identification of honey.

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Section: Resultssupporting

confidence: 87%

Origin Identification of Hungarian Honey Using Melissopalynology, Physicochemical Analysis, and Near Infrared Spectroscopy

et al. 2021

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“…It has a special aromatic, pleasant scent that is kept by the honey for months. Its color was reported very similar to the pale, yellowish green color of robinia honey [ 26 ], while in a comparative study of milkweed and robinia honeys, milkweed honey proved to be of darker color [ 27 ]. Accordingly, in our study, the color of milkweed honey was darker and located between the light beige phacelia and the light amber linden honeys [ 22 ].…”

Section: Resultsmentioning

confidence: 99%

Quality Assessment of Goldenrod, Milkweed and Multifloral Honeys Based on Botanical Origin, Antioxidant Capacity and Mineral Content

Kocsis

Bodó

Kőszegi

et al. 2022

IJMS

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The goal of the study was to evaluate the pollen spectrum, antioxidant capacity and mineral content of four Hungarian honey types, using multivariate statistical analysis. The light colored honeys were represented by milkweed honey and a multifloral (MF) honey with dominant pollen frequency of linden (MF-Tilia); the darker ones were goldenrod honey and a multifloral honey with Lamiaceae pollen majority (MF-Lamiaceae). The pollen spectrum of the samples was established with melissopalynological analysis. The absorbance of the honeys positively correlated with the antioxidant capacity determined with three of the used methods (TRC, TEAC, DPPH), but not with ORAC. The latter method correlated negatively also with other antioxidant methods and with most of the mineral values. MF-Tilia had high ORAC value, K and Na content. The MF-Lamiaceae had the highest K, Mg, P, S, Cu and Zn content, the last five elements showing strict correlation with the TRC method. The darker goldenrod honey had higher SET values and total mineral content, than the milkweed honey. The above character-sets facilitate identification of each honey type and serve as indicators of variety. The antioxidant levels and mineral content of honeys allowed their clear separation by principal component analysis (PCA).

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“…It is also used for erosion control, amelioration and reclamation of disturbed sites, and as a shade or nurse tree (e.g. Göhre, 1952; Kasper-Szel et al, 2003; Keresztezi, 1988; Papanastasis et al, 1998; Rahmonov, 2009; Rédei et al, 2008; Yüksek, 2012). Historically, it served as a source of timber e.g.…”

Section: Economic Benefitsmentioning

confidence: 99%

“…Pale yellow to greenish yellow Robinia honey is fruity and fragrant and remains uncrystallised for 3–4 years due to high fructose content (Farkas and Zajácz, 2007; Keresztesi, 1977). Its chemical composition is described by Kasper-Szel et al (2003) and Lukasiewicz et al (2015). The capacity to generate honey changes with the tree age, with maximum in 15 years with 418 kg ha/year in Hungary, in Poland with 100 kg ha/year (Csiha, 2013; Keresztesi, 1988; Wojda et al, 2015).…”

Section: Economic Benefitsmentioning

confidence: 99%

Black locust (Robinia pseudoacacia) beloved and despised: A story of an invasive tree in Central Europe

Vítková

Müllerová

Sádlo

et al. 2017

Forest Ecology and Management

296

237

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Robinia pseudoacacia, invaded many countries a long time ago and is now a common part of the Central European landscape. Positive economic but negative environmental impacts of Robinia result in conflicts of interest between nature conservation, forestry, urban landscaping, beekeepers and the public when defining management priorities. Because current legislation will determine the future distribution of Robinia in the landscape, a comprehensive view of this species is necessary. Although this species is well studied, most of the scientific papers deal with the economic aspects. Other information is published in local journals or reports. Therefore we reviewed the ecological and socio-economic impact of Robinia placing particular emphasis on the species’ history, vegetation ecology, invasiveness and management. In Central Europe, Robinia is limited climatically by late spring frost combined with a short vegetation period, soil hypoxia, shade and frequent major disturbances. The long historical tradition of using Robinia for afforestation has resulted in its popularity as a widespread forest tree and it being an important part of the economy in some countries. The main reasons are its fast growth, valuable and resistant wood, suitability for amelioration, reclamation of disturbed sites and erosion control, honey-making and recently dendromass production. On the other hand, a side-effect of planting this nitrogen-fixing pioneer tree, very tolerant of the nature of the substrate, is its propagation and spread, which pose a problem for nature conservation. Robinia is considered invasive, threatening especially dry and semi-dry grasslands, some of the most species-rich and endangered types of habitat in the region, causing extinction of many endangered light-demanding plants and invertebrates due to changes in light regime, microclimate and soil conditions. Other often invaded habitats include open dry forests and shrubland, alluvial habitats, agrarian landscapes, urban and industrial environments and disturbed sites, e.g. post-fire sites, forest clearings or degraded forestry plantations. Without forestry, black locust abundance would decrease during succession in forests with highly competitive and shade tolerant trees and in mature forests it occurs only as admixture of climax trees. The limited pool of native woody species, lack of serious natural enemies and a dense cover of grasses and sedges can suppress forest succession and favour the development of Robinia monodominant stands over 70 years old. A stratified approach, which combines both tolerance in some areas and strict eradication at valuable sites, provides the best option for achieving a sustainable coexistence of Robinia with people and nature.

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A Comparative Analysis of Hungarian Robinia and Milkweed Honeys Based on Their Chemical and Physical Characteristics

Cited by 7 publications

References 5 publications

Origin Identification of Hungarian Honey Using Melissopalynology, Physicochemical Analysis, and Near Infrared Spectroscopy

Origin Identification of Hungarian Honey Using Melissopalynology, Physicochemical Analysis, and Near Infrared Spectroscopy

Quality Assessment of Goldenrod, Milkweed and Multifloral Honeys Based on Botanical Origin, Antioxidant Capacity and Mineral Content

Black locust (Robinia pseudoacacia) beloved and despised: A story of an invasive tree in Central Europe

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