Linganisha mbinu
Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| Pua la umeme (e-nose)× | Kromatografia ya Gesi-Olfactometry× | |
|---|---|---|
| Nyanja | Sayansi ya Chakula | Sayansi ya Chakula |
| Familia | Process / pipeline | Process / pipeline |
| Mwaka wa asili≠ | 1982 | 1997 |
| Mwanzilishi≠ | Krishna Persaud | Terry Acree |
| Aina≠ | Chemical Sensing Device | Sensory-Instrumental Coupling |
| Chanzo asilia≠ | Persaud, K., & Dodd, G. (1982). Analysis of discrimination mechanisms in the mammalian olfactory system using a model nose. Nature, 299(5881), 352-355. DOI ↗ | Acree, T. E. (1997). GC/Olfactometry. Analytical Chemistry, 69(5), 170A-175A. link ↗ |
| Majina mbadala≠ | e-Nose, artificial olfaction | GC-O |
| Zinazohusiana | 3 | 3 |
| Muhtasari≠ | An electronic nose (e-nose) is an instrumental analytical device that mimics the mammalian olfactory system to detect and identify volatile organic compounds (odors) in food products. Developed by Persaud and Dodd in 1982, e-noses use arrays of non-selective chemical sensors combined with pattern recognition algorithms to create electronic signatures of food aromas, enabling objective, rapid quality assessment and shelf-life prediction. | Gas Chromatography-Olfactometry (GC-O) combines the separation power of gas chromatography with human olfactory perception to identify which volatile compounds in a food sample contribute to its aroma. Developed by Acree and colleagues in the 1990s, GC-O allows researchers to bypass the human nose's inability to consciously identify which of many simultaneous odors they are perceiving, replacing the 'olfactory bulb' with a trained human panelist. |
| ScholarGateSeti ya data ↗ |
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