Geographical origin identification of pure Sri Lanka tea infusions with electronic nose, electronic tongue and sensory profile analysis

2010 ◽  
Vol 24 (3-4) ◽  
pp. 121-130 ◽  
Author(s):  
Zoltán Kovács ◽  
István Dalmadi ◽  
Larina Lukács ◽  
László Sipos ◽  
Katalin Szántai-Kőhegyi ◽  
...  
Keyword(s):  
Sri Lanka ◽  
Electronic Nose ◽  
Geographical Origin ◽  
Profile Analysis ◽  
Electronic Tongue ◽  
Sensory Profile ◽  
Tea Infusions ◽  
Origin Identification

scholarly journals Sensory and Physicochemical Evaluation of Acacia and Linden Honey Adulterated with Sugar Syrup

Sensors ◽  
2020 ◽  
Vol 20 (17) ◽  
pp. 4845
Author(s):  
Zsanett Bodor ◽  
Zoltan Kovacs ◽  
Mahmoud Said Rashed ◽  
Zoltán Kókai ◽  
István Dalmadi ◽  
...  
Keyword(s):  
European Union ◽  
Physicochemical Properties ◽  
Profile Analysis ◽  
Electronic Tongue ◽  
Medical Product ◽  
Sensory Profile ◽  
High Price ◽  
Sugar Syrup ◽  
Physicochemical Evaluation

Honey is produced by honeybees and is used as a food and medical product. Adulteration of honey has been a problem for several years now because of the relatively high price of honey on the market according to its valuable composition. The aim of our study is to determine the physicochemical properties of authentic Hungarian linden and acacia honeys (pure samples or manipulated ones blended with sugar syrup) as well as commercially available blends of European Union (EU) non-European Union (non-EU) honeys. Authentic linden and acacia were blended with sugar syrup at 10%, 20% and 50% concentration levels, and physicochemical properties were determined according to the methods of the International Honey Commission. Our objectives also included testing of the performance of electronic sensory techniques (electronic tongue (ET) and electronic nose (EN)) in the detection of adulteration, and the results are compared to the sensory profile analysis. The results provide good average recognition and prediction abilities for the classification of adulterated and authentic honeys (>90% for ET and higher than >80 for EN). Misclassifications were found only in the case of honey with 10% added sugar syrup. The methods were also able to reveal adulteration of independently predicted samples.

NMR-based quantitative component analysis and geographical origin identification of China’s sweet orange

Food Control ◽  
2021 ◽  
pp. 108292
Author(s):  
Haifeng Lin ◽  
Chenxi He ◽  
Huili Liu ◽  
Guiping Shen ◽  
Feng Xia ◽  
...  
Keyword(s):  
Geographical Origin ◽  
Sweet Orange ◽  
Component Analysis ◽  
Origin Identification
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