دورية أكاديمية
Development of A Resistive Sensor Array Based on Graphene and Conducting Polymer Composites for Coffee Aroma Classification
العنوان: | Development of A Resistive Sensor Array Based on Graphene and Conducting Polymer Composites for Coffee Aroma Classification |
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المؤلفون: | Mulyono Tri, Siswoyo Asnawati, Lestari Puji Bunga, Zulfikar, Mufliha Yeni Maulidah |
المصدر: | E3S Web of Conferences, Vol 481, p 06012 (2024) |
بيانات النشر: | EDP Sciences, 2024. |
سنة النشر: | 2024 |
المجموعة: | LCC:Environmental sciences |
مصطلحات موضوعية: | Environmental sciences, GE1-350 |
الوصف: | This work aims to create a resistive sensor array for categorizing coffee from various plantations. A mixture of graphene oxide and a conductive polymer is used to create the sensor array. Eight types of sensors were made by dripping various mixtures of graphene oxide, polypyrrole, polyaniline, and poly acetate materials on the interdigitated electrode. Coffee fragrance gas was used for the sensor array test. The surface of the sensor array receives the scent gas created by the brewing of coffee grinds. Each sensor’s response profile is recorded. Each coffee sample has a distinct sensor response profile for simple separation with a distinct pattern. PCA analysis was used to examine sensor responses in order to find classification patterns of coffee samples from diverse plantations that were separated by brewing category. Sensor response data underwent PCA analysis, yielding scores of 54.74% PC1 and 26.17% PC2. These findings suggest that graphene-based and conducting polymer sensor array have a good potential for quick differentiation of different coffee varieties. |
نوع الوثيقة: | article |
وصف الملف: | electronic resource |
اللغة: | English French |
تدمد: | 2267-1242 |
Relation: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/11/e3sconf_icschem2024_06012.pdf; https://doaj.org/toc/2267-1242 |
DOI: | 10.1051/e3sconf/202448106012 |
URL الوصول: | https://doaj.org/article/f97cd134afd845fc97b52bce56c14068 |
رقم الأكسشن: | edsdoj.f97cd134afd845fc97b52bce56c14068 |
قاعدة البيانات: | Directory of Open Access Journals |
تدمد: | 22671242 |
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DOI: | 10.1051/e3sconf/202448106012 |