Pattern recognition based on fuzzy observations for spectroscopic quality control and chromatographic fingerprinting

1986 ◽  
Vol 184 ◽  
pp. 21-31 ◽  
Author(s):  
Matthias Otto ◽  
Hans Bandemer
2012 ◽  
Vol 2012 ◽  
pp. 1-9 ◽  
Author(s):  
Łukasz Cieśla

Biological chromatographic fingerprinting is a relatively new concept in the quality control of herbal samples. Originally it has been developed with the application of HPLC, and recently herbal samples' biological profiles have been obtained by means of thin-layer chromatography (TLC). This paper summarizes the application of liquid chromatographic techniques for the purpose of biological fingerprint analysis (BFA) of complex herbal samples. In case of biological TLC fingerprint, which is a relatively novel solution, perspectives of its further development are outlined in more detail. Apart from already published data, some novel results are also shown and briefly discussed. The paper aims at drawing scientists' attention to the unique solutions offered by biological fingerprint construction.


2018 ◽  
pp. 1788-1801
Author(s):  
Rahul Bhaskar ◽  
Au Vo

Jack Grealish is an aspiring entrepreneur. During his undergraduate in UCLA, he worked in his father's business, which focused on selling specialized foods. He became fascinated with the food industry and find out more what it entails. His investigation has unveiled the landscape of the food industry. Furthermore, he discovered that the hazard analysis and critical control points (HACCP) system implemented in the food industry was rather disjointed and could benefit from automation. He conducted a preliminary research about current HACCP development and determine to plunge ahead. Jack ponders about the possibility of integrating different pattern recognition methodologies in HACCP processes to improve the effectiveness of overall quality control at his company.


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