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Sifat Fisikokimia Oleoresin Fuli Pala Hasil Ekstraksi Berbantu Ultrasonik Pada Metode Pengeringan yang Berbeda Aryanis Mutia Zahra; I Wayan Budiastra; Sugiyono S; Sutrisno Suro Mardjan
Warta Industri Hasil Pertanian Vol 36, No 1 (2019)
Publisher : Balai Besar Industri Agro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (632.369 KB) | DOI: 10.32765/warta ihp.v36i1.4722

Abstract

Ekstraksi berbantu ultrasonik (Ultrasound Assisted Extraction, UAE) dapat meningkatkan rendemen, kualitas dan fungsionalitas ekstrak serta mempersingkat waktu ekstraksi. Fuli memiliki lebih banyak senyawa aromatik yang dapat dipertahankan dalam berbagai proses pengolahan daripada biji pala. Pengeringan menjadi proses penting yang mempengaruhi kualitas fuli pala sebagai bahan baku oleoresin. Penelitian ini membandingkan rendemen, sifat fisik dan komposisi senyawa kimia oleoresin fuli pala hasil UAE pada metode pengeringan yang berbeda. Fuli pala dikeringkan dengan dua metode pengeringan (penjemuran dan pengasapan), digiling menjadi bubuk berukuran 60 mesh. UAE diaplikasikan pada bubuk fuli pala dalam etanol (1:4 b:v) pada frekuensi 20 kHz, daya 700 W, amplitudo 90%, suhu maksimum 50oC dan waktu ekstraksi 45 menit. MaserasiĀ  selama 7 jam pada suhu ruang dilakukan sebagai perlakuan kontrol. Sifat fisik (bobot jenis, indeks bias, nilai a*, kroma dan hue) oleoresin fuli pala hasil UAE berbeda nyata antara pengasapan dan penjemuran. Sifat fisik (bobot jenis, indeks bias, nilai L, nilai a*, nilai b*, kroma dan hue) oleoresin juga berbeda nyata antara hasil ekstraksi berbantu ultrasonik dan maserasi. Pengasapan menghasilkan rendemen, sisa penguapan dan total senyawa utama oleoresin fuli pala hasil ekstraksi berbantu ultrasonik (19,78%, 24,36%, dan 63,37%) lebih tinggi dari penjemuran (15,80%, 23,05%, dan 53,91%) serta maserasi (14,49%, 22,07%, dan 54,31%).
Fruit Quality Evaluation in The Maturation Process of Blueberries Using Image Processing Aryanis Mutia Zahra; Tadashi Chosa; Seishu Tojo
Indonesian Food and Nutrition Progress Vol 18, No 2 (2021)
Publisher : Indonesian Association of Food Technologists

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ifnp.63897

Abstract

Blueberries' quality does not change uniformly during ripeness. Blueberries should be harvested fully ripened at the post-climacteric stage with an excellent indicator including consistent color, taste, and ease of removal from plantĀ as excellent indicators. Therefore, the blueberries are not harvested until it has the desired blue color. The reliance on human perception on the fruit's taste and appearance might cause inconsistency and inaccurate judgment of the fruit maturation. This study aimed to develop an image processing algorithm capable of classifying blueberry maturity stages. The Bluecrop Northern highbush blueberry was harvested at five different stages of maturity based on visual grading of the fruit color (green, green-red, red, red-blue, and blue) from various fruit positions on the tree. Image processing with discriminant analysis accurately classified maturity stages at 98.3% accuracy. The image quality attributes of blueberries changed significantly at different maturity stages. Overall, most image quality attributes correlated strongly with well-performed blueberry physicochemical properties. This study showed that image processing during the blueberry maturation process could be a reliable and comprehensible method for estimating changes in color, shape, weight, and ultimately changes in specific physicochemical properties. This study also provided a practical evaluation of the maturity stages and physicochemical properties, which were predicted using image processing.