Judul: Hidrolisis Karbohidrat Manan (Bungkil Inti Kelapa Sawit) Dengan Enzim Mananase Dari Streptomyses cyaenus Untuk Menghasilkan Oligosakarida
Abstrak: A number of oligosaccharides have been produced from carbohydrates starch using various kinds of enzymes such as amylase and cylodextrin glucosyltranferase. Non-starch carbohydrates such as cellulose and hemicelluloses which are abundant in Indonesia, are very potential to be used for oligosaccharides production. Palm kernel cake (PKC) is one of abundant biomass containing non-starch carbohydrates mannan. Mannan is a potential material source to develop a new type of oligosaccharides. Mannanase is an important enzyme that hydrolizes mannan into oligosaccharides. We screened 500 isolates of pure microbe from Indonesia Culture Collection (InaCC) LIPI and found four potential mannanase-producing isolates (Yopi et al., 2010). In this study, these four potential isolates (10, 17, 20, and 78) were then evaluated for mannanase production and production stability. The highest enzyme activity (0,189 U/mL) was obtained from isolate no 17, Streptomyces cyaenus. This isolate was also stable in the enzyme production. The Streptomyces cyaenus 17 was then used for the production of mannanase enzyme in 100 mL and 2 L scale media. In 100 ml fermentation media (pH 7, agitation 150 rpm), this isolate produced enzyme mannanase with the highest activity (0,702 U/mL) at day 2. In 2L fermentation media (pH 7), the Streptomyces cyaenus 17 isolate was incubated for 4 days (30oC) at three different agitation speed, 150, 200, 250 rpm. The mannanase enzyme activity was increased from day-0 to-2 suggesting the formation of monosaccharides and oligosaccharides and then decreased on day-3 and -4 presumbaly because of some monosaccharides or oligosaccharides had been consumed as a carbon source. The results showed that the highest mannase enzyme activity were obtain at day-2, 1619, 1706, and 1637 U/mL at 150, 200, and 250 rpm respectively. Thin layer chromatography (TLC) analysis of the PKC, locust bean gum (LBG), and porang substrat (each contained 6 ml of 0.5% substrate and 6 mL of rough mannanase enzyme with 1706 U/mL activity and incubated for 24h) showed that manan was hydrolyzed into manotriose, manotetrose, manopentose, manoheksose, mannose,and mannobiose. This results also showed that mannanase enzyme from Streptomyces cyaenus could hydrolyze carbohydrate mannan from PKC, LBG, and porang tuber. However, there was variation in the oligosaccharide types produced as indicated by the value of polymerization degree. Reaction of mannan substrates from PKC and LBG with enzyme mannanase from Streptomyces cyaenus 17 produced mannose, mannobiose, or mannotriose, but not porang tuber. HPLC analysis of the PKC substrat reacted with mannase enzim derived from Streptomyces cyaenus produced oligosaccharide with size from disccharide up to heptasaccharide. The oligosachharide produced was observed at 2, 4, 6, 8, 12 and 24 hours after reaction. Observation on the hydrolized sample of PKC substrate two hours after reaction showed the presence of mannobiose, mannotriose, and mannoheksose, with concentration 530, 290, and 1320 ppm respectively. The concentration of oligosaccharide was increased up to 8 hours after reaction. The highest concentration of oligosaccharide was obtained at 8 hour after reaction which produced mannobiose, mannotriose, and mannoheksose with concentration of 880, 190, and 1850 ppm, respectively. In the last stage of this study the oligosaccharide was produced in a reaction of 1 L of
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Judul: Optimasi produksi enzim mannanase pycnoporus sanguinis
Abstrak: Enzim mananase merupakan salah satu enzim ekstraselular yang dihasilkan oleh beberapa organisme diantaranya Penicillium spp dan Streptomyces sp. Enzim ini menghidrolisis ikatan glikosida pada polimer manan. Mananase dapat digunakan sebagai enzim tambahan selain selulase dalam penguraian polisakarida kayu menjadi heksosa. Selain itu ẞ- mananase juga merupakan enzim yang potensial untuk pengolahan bubur kertas. Dari penelitian sebelumnya telah diketahui bahwa Pycnoporus. sanguinis 24 dan 49, dapat memproduksi mananase pada media cair dengan 1% bungkil kelapa (BK) dalam masa inkubasi 10 hari. Dalam percobaan ini dicari suatu kondisi optimum (konsentrasi bungkil kelapa dan masa inkubasi) agar produksi enzim mananase dari P. sanguinis 24, 48 dan 49 maksimum. Konsentrasi BK yang digunakan adalah 1% dan 3%, dengan periode inkubasi 4, 6, 8, dan 10 hari. Eupenicillium javanicum digunakan sebagai pembanding. Hasil percobaan ini menunjukkan bahwa konsentrasi BK yang optimum adalah 1%. Sedangkan masa inkubasi optimumnya bervariasi, delapan hari untuk P. sanguinis 24 dan sepuluh hari untuk P. sanguinis 48 dan 49. Nilai aktivitas enzim ketiga isolat tersebut pada kondisi optimumnya berbeda tidak nyata. Kadar protein ekstraseluler tertinggi ditunjukkan oleh P. sanguinis 24 dan 49 yang ditumbuhkan pada media dengan konsentrasi 3% BK berturut-turut dengan masa inkubasi delapan hari dan empat hari. Pada konsentrasi 1% BK, kadar protein ekstraseluler pada umumnya berbeda tidak nyata pada semua masa inkubasi kecuali P. sanguinis 24. Pada isolat ini, protein ekstraselular maksimumnya diperoleh pada masa inkubasi 6 hari, kemudian menurun pada masa inkubasi selanjutnya. Aktivitas spesifik tertinggi ditunjukkan oleh E. javanicum pada konsentrasi 3% BK dengan masa inkubasi 10 hari. Nilai aktivitas spesifik dari E. javanicum lebih tinggi dan berbeda sangat nyata dari nilai aktivitas spesifik P. sanguinis. Pada P. sanguinis, aktivitas spesifik tertinggi diperoleh pada konsentrasi 1% BK dengan masa inkubasi optimum bervariasi, delapan hari untuk P. sanguinis 24 dan sepuluh hari untuk P. sanguinis 48 dan 49.
Keyword: Production

Judul: Implementation of Spatio-Temporal Change Query in Relational Database.
Abstrak: Geographic object changes in various views. Object changes are recorded using a model of static storage. No historical connection between old version data and new version data has been built. For that, a storage model of spatio-temporal queries that can analyze spatio-temporal changes has been developed. The object changes the geometry are grouped according to the taxonomy of Spatio-Temporal Pattern Change. This research has been able to apply the query patterns change including born, expand, merge, contract, split, normal and die. This query based on geometric (area) changes. The implementation of spatio-temporal change queries represents an object changes continuously with easy, change detection is done by comparing two versions of data. Keyword: spatio-temporal change query, spatio-temporal change pattern.
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