Author:
Fatmawati Nabila Lathifah,Abduh Setya Budi Muhammad,Al-Baarri Ahmad Ni'matullah
Abstract
Botanical beverages are made from plant extracts that can be packaged to extend their shelf-life. The shelf-life of foods and beverages can be estimated by mathematical modelling, usually by employing linear equation model. To accurately estimate the shelf-life, it is necessary to determine the indicators. This study aimed to determine the shelf-life indicators of a botanical beverage made from red ginger and garlic which were prepared under boiling condition and packaged in glass bottles at hot condition. The product was stored at 27, 33, and 40°C and their quality attributes comprising sensory, visual consistency, viscosity, pH, and total microbe were observed weekly. The data obtained were mathematically modeled using linear equations to determine the order of the reaction (n) and the rate constant (k) of the change in quality attributes. The coefficient of determination (R2) for the equation of change in quality attributes at 27, 33, and 40°C were 0.19, 0.21, 0.62; 0.10, 0.01, 0.01; 0.02, 0.19, 0.89 respectively for viscosity, pH, and total microbe. The total microbe is the most appropriate quality indicator for estimating shelf-life of this botanical beverage.
Reference33 articles.
1. Abduh SBM, Setiani BE. 2015. The reduction of aerobic bacterial counts of bovine milk as influenced by heat-treatments at pasteurisation temperatures. Proc Food Sci 3: 465–472. DOI: 10.1016/j.profoo.2015.01.051.
2. [BPOM] Badan Pengawas Obat dan Makanan. 2019. Peraturan Kepala Badan Pengawas Obat dan Makanan Nomor 34 Tahun 2019 Kategori Pangan. Badan Pengawas Obat dan Makanan, Jakarta.
3. Calligaris S, Manzocco L, Anese M, Nicoli MC. 2016. Shelf-life assessment of food undergoing oxidation–A review. Crit Rev Food Sci Nutr 56(11): 1903–1912. DOI: 10.1080/10408398.2013.807222.
4. Demšar J, Curk T, Erjavec A, Gorup Č, Hočevar T, Milutinovič M, Možina M, Polajnar M, Toplak M, Starič A, et al. 2013. Orange: Data mining toolbox in python. J Mach Learn Res 14(1): 2349–2353.
5. Devirizanty D, Nurmalawati S, Hartanto C. 2021. Perbandingan unjuk kinerja berbagai tipe pH meter digital di laboratorium kimia. J Pengelolaan Laboratorium Sains dan Teknologi 1(1): 1–9. DOI: 10.33369/labsaintek.v1i1.15460.