التفاصيل البيبلوغرافية
| العنوان: |
Development array sensor for detecting Robusta coffee aroma. |
| المؤلفون: |
Zulfikar, Siswoyo, Mulyono, Tri, Asnawati, Sudarko, Anjarwati, Liana, Fitriana, Elza Dania, Faradina, Dwi, Fajerin, Meidy Intania |
| المصدر: |
AIP Conference Proceedings; 2023, Vol. 2818 Issue 1, p1-11, 11p |
| مصطلحات موضوعية: |
COFFEE flavor & odor, SENSOR arrays, COFFEE plantations, FOOD aroma, PRINCIPAL components analysis, GAS detectors, COFFEE brewing, WATER vapor |
| مصطلحات جغرافية: |
PAPUA (Indonesia) |
| مستخلص: |
The detection of coffee aroma is a chemical analysis technique in a complex sample and becomes an interesting challenge. Sensor arrays are an option for detecting complex volatile compounds, with a systematic detection principle, where each response characteristic individually contributes to the overall performance of the detection system. In this research, sensor arrays are designed, optimized and evaluated for their performance, and become the basis for their use and application. Robusta coffee from several plantations in East Java was selected as a sample for identification and classification based on coffee aroma. The results showed that the gas sensors type MQ2, MQ3, MQ6, MQ7, MQ8, MQ9, MQ135 and MQ136, were feasible to use according to the repetition of water vapor and coffee vapor measurements with RSD<5%. The sensor arrays exhibit the ability to classify by various approaches such as Principal Component Analysis, Confusion Matrix and Neural Networks. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
Complementary Index |
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