Please use this identifier to cite or link to this item: https://repository.unej.ac.id/xmlui/handle/123456789/123536
Title: DESAIN SENSOR ARRAY BERBASIS KOMPOSIT POLIMER KONDUKTIF (PANi-H2SO4, PPy-H2SO4, PANi-PPy, PANi-GO, PPy-GO, PANi-PPy-GO, PVAc-GO, DAN PAA-GO) UNTUK MEMBEDAKAN AROMA KOPI ROBUSTA
Authors: AZZAHRAH, Mashita
Keywords: Conductive Polymers
Array Sensors
Coffee
Response Patterns
Issue Date: 23-Oct-2023
Publisher: Fakultas Matematika dan Ilmu Pengetahuan Alam
Abstract: Conductive polymers are polymers that can conduct electricity due to the presence of conjugated double bonds in the polymer chains. The use of conductive polymer composites as gas sensors has been proven to be able to detect the aroma of coffee. Different conductive polymer-based sensors are assembled into array sensors to distinguish the aroma of coffee from different plantations, namely the Gumitir, Sidomulyo, Garahan and Ledokombo coffee plantations. The sensors have been made by mixing the polymer with dopant and other supporting materials and then coating it on the surface of the electrode. The sensors used are PANi-H2SO4, PPy-H2SO4, PANi-PPy, PANi-GO, PPy-GO, PANi-PPy-GO, PVAc-GO, and PAA- GO sensors arranged in a planar model to form a array sensors and then used to measure coffee vapor. The results obtained are in the form of response patterns that are different and unique to the coffee of each plantation. The PCA results obtained also showed that the response of coffee from the 4 different plantations could be well clustered with a total PC1 and PC2 reaching 80.92%. These results indicate that the sensor array can distinguish the aroma of coffee from different plantations. The sensors in the sensor array show good repeatability as indicated by the RSD value below 5%. The response time for each sensor varies, but overall the response time is fast, which is under 50 seconds. Each sensor in the sensor array has good performance for 3 weeks of use but continues to decrease in performance until the 4th week shows the RSD value has exceeded 5%.
URI: https://repository.unej.ac.id/xmlui/handle/123456789/123536
Appears in Collections:UT-Faculty of Mathematics and Natural Sciences

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