Classification of stingless bee honey based on species, dehumidification process and geographical origins using physicochemical and ATR-FTIR chemometric approach

2021 ◽  
Vol 104 ◽  
pp. 104126
Author(s):  
Nur Faezah Ismail ◽  
M. Maulidiani ◽  
Syafizal Omar ◽  
Muhammad Faiz Zulkifli ◽  
Mohd Naim Fadhli Mohd Radzi ◽  
...  
2011 ◽  
Vol 127 (1) ◽  
pp. 296-302 ◽  
Author(s):  
Jasna Bertoncelj ◽  
Tomaž Polak ◽  
Urška Kropf ◽  
Mojca Korošec ◽  
Terezija Golob

Food Control ◽  
2017 ◽  
Vol 78 ◽  
pp. 383-392 ◽  
Author(s):  
Mônia Stremel Azevedo ◽  
Siluana Katia Tischer Seraglio ◽  
Gabriela Rocha ◽  
Claudia Berenice Balderas ◽  
Marcel Piovezan ◽  
...  

2016 ◽  
Vol 40 (3) ◽  
pp. 2514-2520 ◽  
Author(s):  
Thiago Matheus Guimarães Selva ◽  
Thiago Regis Longo Cesar da Paixão

Electrochemical sensor for the classification of carbamate pesticides.


2019 ◽  
Vol 13 (1) ◽  
pp. 97-107 ◽  
Author(s):  
Tatiane Francielli Vieira ◽  
Gustavo Yasuo Figueiredo Makimori ◽  
Maria Brígida dos Santos Scholz ◽  
Acácio Antonio Ferreira Zielinski ◽  
Evandro Bona

2021 ◽  
Vol 157 (4) ◽  
pp. 273-281
Author(s):  
Michael S. Engel

The infrageneric classification of the stingless bee genus Melipona Illiger (Apinae: Meliponini) has historically consisted of four subgenera. Here a slightly expanded subgeneric system is presented in the context of a key to subgenera, with two new subgenera established: Meliponotes subgen. n. and Mouremelia subgen. n.


2019 ◽  
Vol 70 (11) ◽  
pp. 3761-3768
Author(s):  
Roxana Elena Ionete ◽  
Diana Ionela Stegarus ◽  
Elisabeta Irina Geana ◽  
Oana Romina Botoran ◽  
Claudia Sandru ◽  
...  

There is a growing trend in food industry in combining safety and quality attributes of products with their distinct regional identity. In this study we used data on several elements (Cd, Cu, Cr, Zn, Pb and Ni) and phenolic compounds (gallic acid, syringic acid, p-coumaric acid, (+)-catechin, (-)-epicatechin, trans-resveratrol, rutin, quercetin and vanillin) as complementary markers in the attempt to characterise and differentiate wines from three wine-growing areas (Murfatlar, Recas and Jidvei) of Romania, according to their geographical and varietal origin. Wines from south-eastern region (Murfatlar) were characterized by their lower content in Cu, Cr and Ni, compared with wines from western (Recas) and central (Jidvei) region, while the content of phenolic compounds in the wine samples showed a visible variation, depending both of the grape variety and geographical origin. The statistical processing tools applied to our results allowed robust di�erentiation between regions, wine varieties, and vintage year. The phenolic compounds (gallic acid, (+)-catechin, (-)-epicatechin, rutin, quercetin and resveratrol) showed the best correlations for the varietal discrimination of wines. Using discriminant analysis, a correct classification of the wines by variety was achieved in proportion of 88.89% (based only by phenolic compounds) and 92.59 % (based both on phenolic compounds and metals), revealing that the content of Cu, Cr and Ni is significant for discrimination. Moreover, a 100% successful classification of wines by region of origin was accomplished.


2017 ◽  
Vol 9 (44) ◽  
pp. 6267-6272 ◽  
Author(s):  
Keshav Kumar

Graph theory is introduced as a novel chemometric approach for classifying the samples in an unsupervised manner.


Author(s):  
Muhammad Taufiq Atsifa Razali ◽  
Zaim Akmal Zainal ◽  
Maulidiani Maulidiani ◽  
Khozirah Shaari ◽  
Zulkifli Zambri ◽  
...  

Background: The official standard for quality control of honey is currently based on physicochemical properties. However, this method is time-consuming, cost intensive, and do 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 NMR-LCMS-based metabolomics approach. Methods: 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. Results: 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) identified via 1H NMR data and the diagnostic ions of UHPLC-QTOF MS were characterized as the discriminant metabolites or putative chemical markers. Conclusion: It could be suggested that the quality of honey in terms of originality and purity can be rapidly determined using classification technique by bee species origins via 1H NMR- and UHPLC-QTOF MS-based metabolomics approach.


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