| Literature DB >> 32327800 |
Maria Brígida Dos Santos Scholz1,2, Alécio Quinhone Júnior3, Bruna Haas Delamuta3, Jessika Marie Nakamura3, Marianne Cristina Baudraz3, Mônica Oliveira Reis3, Talita Kato3, Mayka Reghiany Pedrão3, Lucia Felicidade Dias3, Dalton Tadeu Reynaud Dos Santos4, Cintia Sorane Good Kitzberger1, Fabrício Pires Bianchini5.
Abstract
Honey from different botanical sources presents a great variability in chemical composition, physical properties, and sensorial attributes. The association between honey qualities and its geographical origin allows the recognition of honey, and beekeepers are economically benefited. The objective of this study was to evaluate the physicochemical characteristics of honey produced in Ortigueira, Brazil and to compare it with the honey produced in the neighboring localities for the request of geographical indication certification. In the 112 honey samples collected between 2010 and 2013 from Ortigueira and the neighboring localities, moisture acidity, pH, hydroxymethyl furfural (HMF), diastase activity (DA), sugars, proline (Pro), electrical conductivity (EC), color absorbance at 635 nm (C635), and Cielab color parameters were evaluated. HMF, reducing sugars (RS), total sugars (TS), proline, and color parameters (L*, a* and b*) were significantly different in Ortigueira 2010 honey seasons. Principal component analysis separated assapeixe (Vernonia sp) and capixingui (Croton floribundus) honeys from wild honeys (polyfloral). In addition, HMF, RS, L*, and lactonic acidity values promoted the separation between assapeixe and capixingui honeys. Ortigueira honey differs significantly from honeys from neighboring locality in pH, proline, HMF, DA, EC, RS, sucrose, TS, free and total acidity, and color parameters (C635, L*, a*, b*). The multivariate analysis applied to variables was efficient to discriminate honeys from different botanical sources and different locals, and is recommended for studies on the geographical indication of honey. © Association of Food Scientists & Technologists (India) 2020.Entities:
Keywords: Apis mellifera; Color; Geographical indication; Luminosity; Multivariate analysis
Year: 2020 PMID: 32327800 PMCID: PMC7171034 DOI: 10.1007/s13197-019-04225-3
Source DB: PubMed Journal: J Food Sci Technol ISSN: 0022-1155 Impact factor: 2.701