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PENGARUH KONSENTRASI NATRIUM ALGINAT DAN JENIS BAL TERHADAP VIABILITAS SEL ENKAPSULASI PROBIOTIK BAL Muchsiri, Mukhtarudin; Hamzah, Basuni; Wijaya, Agus; Pambayun, Rindit
Agrin Vol 19, No 2 (2015): Agrin
Publisher : Jenderal Soedirman University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.agrin.2015.19.2.243

Abstract

Tujuan penelitian ini untuk menguji pengaruh konsentrasi natrium alginat dan jenis BAL terhadap viabilitassel enkapsulasi probiotik BAL. Penyiapan enkapsulasi probiotik BAL menggunakan Rancangan Acak Kelompok(RAK) faktorial, konsentrasi natrium alginat terdiri 1% (A1), 2% (A2) dan 3% (A3). Jenis BAL terdiri B1=Lactobacillus bulgaricus, dan B2= Streptococus thermopylus dengan tiga ulangan. Parameter yang diamati terdiriviabilitas sel BAL, jumlah enkapsul, massa enkapsul, bentuk dan ukuran enkapsul. Hasil penelitian menunjukkanbahwa konsentrasi natrium alginat (w/v), jenis BAL, dan kelompok mempengaruhi nilai viabilitas sel BALdigambarkan dengan persamaan Y = 10,753-0,235X1-1,1007X2+0,085X3+E. Rata-rata viabilitas tertinggi log 9,67CFU/mL pada A3B1 (alginat 3% dan L. bulgaricus) dan terendah pada A1B2 (alginat 1% dan S. thermophylus) log8,82 CFU/mL. Konsentrasi natrium alginat (w/v) dan jenis BAL mempengaruhi jumlah enkapsul digambarkandengan persamaan Y = 363,665-3,233X1+5,667X2+E. Rata-rata jumlah enkapsul tertinggi pada A3B1 (alginat 3%dan L. bulgaricus) 375,33 enkapsul, dan terendah pada A1B2 (alginat 1% dan S. thermopylus) sebesar 360,67enkapsul. Konsentrasi natrium alginat (w/v) dan jenis BAL mempengaruhi massa enkapsul digambarkan denganpersamaan Y = 10,052-0,413X1+1,103X2+E. Rata-rata massa enkapsul tertinggi pada A2B1 (alginat 2% dan L.bulgaricus) 12,659 gram, dan terendah pada A1B2 (alginat 1% dan S. thermopylus) sebesar 9,778 gram. Ukurandiameter panjang enkapsul yang terpendek 7,5mm pada A3B2 (alginat 3% dan S. thermopylus) dan terpanjang10mm pada A2B2 (alginat 2% dan S. thermopylus). Sedangkan diameter melintang berkisar 1,0 mm.Kata kunci: enkapsulasi probiotik, BAL, viabilitas selABSTRACTThe aim of this study were to examine the effect of sodium alginate concentration and types of LAB on cellsviability of LAB probiotic encapsulation. Preparation of LAB probiotic encapsulation using the randomized blockdesign (RBD) factorial, sodium alginate concentration (w/v) comprises 1% (A1), 2% (A2) and 3% (A3). The typesof LAB comprises Lactobacilus bulgaricus (B1), and Streptococous thermopylus (B2) with three replications. Theobserved parameters consisted of cells viability, number, mass, type and size of bead from probioticsencapsulation. The result showed that sodium alginate concentration (w/v) and types of LAB, block effect on cellsviability by the regression equation Y = 10,753-0,235X1-1,1007X2+0,085X3+E. The highest average viability log9.67 CFU/mL on A3B1 (alginate 3% and L. bulgaricus) and the lowest in the A1B2 (alginate 1% and S.thermophylus) log 8.82 CFU / mL. The sodium alginate concentration (w/v) and types of LAB effect on the amountof probiotics encapsulation expressed by the regression equation Y = 363,665-3,233X1+5,667X2+E. The highestaverage number of bead in A3B1 (alginate 3% and L. bulgaricus) 375.33 bead, and the lowest in A1B2 (alginate1% and S. thermopylus) amounted to 360.67 bead. The sodium alginate concentration (w/v) and types of LABeffect on mass of bead represented by the regression equation Y = 10,052-0,413X1+1,103X2+E. The highestaverage mass of bead in A2B1 (alginate 2% and L. bulgaricus) 12.659 grams, and the lowest in A1B2 (alginate 1%and S. thermopylus) amounted of 9.778 grams. While the size of the probiotics encapsulation diameter range fromthe shortest length of 7.5 mm in A3B2 (concentration of 3% sodium alginate and S. thermopylus) and 10 mm inthe longest A2B2 (concentration of 2% sodium alginate and S. thermopylus), with a diameter ranging from 1.0 mmKey words: Probiotics encapsulation, LAB, cells viability
Facilitation Of Distribution Permits, Packaging And Fresh Food Sensors Towards Improving Product Safety In Lahat Regency Lucyana, Lucyana; Muchsiri, Mukhtarudin; Alhanannasir, Alhanannasir; Syah Putra, Nico
Biotik Vol 13 No 2 (2025): JURNAL BIOTIK
Publisher : Universitas Islam Negeri Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/biotik.v13i2.29117

Abstract

This study examines the impact of facilitation of fresh food distribution permit management including facilitation of distribution permit management procedures and packaging facilitation (type of packaging and packaging label) on improving product safety in Lahat Regency. This research method uses surveys and data analysis from fresh food producers, regulators, and consumers in Lahat Regency. Data were collected through questionnaires to understand the distribution permit process, perceptions of product safety, and the impact of the facilitation carried out. This study also uses a hedonic test to determine the quality of fresh plant-based food including assessments of color, texture, aroma and a Likert test including assessments of uniformity of size, packaging and overall appearance as well as conducting chemical contamination tests in the form of pesticide residue tests and physical contamination tests on PSAT PDUK UMKM samples for rice, coffee beans and pepper spices to determine the safety of fresh plant-based food. The results of facilitating distribution permits, packaging and fresh food sensory towards improving product safety in Lahat Regency for fresh food MSMEs have been running better than in previous years. This can be seen from the increase in the processing of PSAT-PDUK distribution permits in the period from March to July 2024 as many as 15 (fifteen) PSAT-PDUK distribution permit numbers that have been issued from 2 (two) PSAT PDUK distribution permit numbers issued by the Lahat Regency Food Security Service from 2022 to 2023, so that it can be interpreted that business actors really need special assistance from officers who understand the distribution permit processing process and an effective and efficient assistance approach model.