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FAOJLTY OF MATHEMATICS AND NATURAL SCIENCES,
BOGOR AGRICULTURAL UNIVERSITY
lPB
Internaoonal
Convention
Center
15 -1i'November 2011
Published
By
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ISBN : 978-979-95093-9-0
'PRO·CEEDI NGS
ISS 2013
International Seminar on Sciences 2013
"Perspectives on Innovative Sciences"
Bogar 15-17 November 2013
4P:B International Convention Center
Published by
Copyright© 2014
Faculty of Mathematics and Natural Sciences, Bogor Agricultural University
Proceedings of International Seminar on Sciences 2013 "Perspectives on Innovative Sciences"
Bog or 15-17 November 2013.
Published by: FMIPA-IPB, Jalan Meranti Kampus IPB Dramaga, Bogor 16680
Telp/Fax:
PRUQセXVRUTXQOXVRUWPX@http://finipa.ipb.ac.id
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395 pages
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Board of Editors
PROCEEDINGS
INTERNATIONAL SEMINAR ON SCIENCES 2013
Chief Editor:
Endar
H.
NugrahaniManaging Editor:
lndahwati Nisa RC!chmania
Managing Team:
Wisnu Ananta Kusuma Ali Kusnanto
International Scientific Committee:
Manabu D. Yamanaka (Kobe University, Japan)
Kanaya (Nara Institute of Science and Technology, NAIST, Japan) Ken Tanaka (Toyama University, Japan)
Daniel Oosgood (Columbia University, USA)
Emmanuel Paradis (lnstitut de Recherche pour le Developpement, IRD, France) Rizaldi Boer (Begor Agricultural University, Indonesia)
Antonius Suwanto (Begor Agricultural University, Indonesia)
National Reviewer:
Kiagus Dahlan Tania June Sri Sugiarti Miftahudin Anja Meryandini
lmas Sukaesih Sitanggang
Farit Mochamad Afendi Paian Sianturi
Husin Alatas Heru Sukoco
,•.
t-FOREWORD
The International Seminar on Sciences 2013, which had the main theme "Perspectives on Innovative Sciences", was organized on November 15th -1th, 2013 by the Faculty of Mathematics and Natural Sciences, Bogor Agricultural University. This event aimed at sharing knowledge and expertise, as well as building network and collaborations among scientists from various institutions at national and international level.
Scientific presentations in this seminar consisted of a keynote speech, some invited speeches, and about 120 contributions of oral and poster presentations. Among the contributions, 66 full papers have been submitted and reviewed to be published in this proceeding. These papers were clustered in four groups according to our themes:
A. Sustainability and Science Based Agriculture
B. Science of Complexity
<:.Mathematics, Statistics and Computer Science
D. Biosciences and Bioresources
In this occasion, we would like to express our thanks and gratitude to our distinguished keynote and invited speakers: Minister of Science and Technology, Prof. Manabu D. Yamanaka (Kobe University, Ja pan), Prof. Kanaya (Nara Institute of Science and Technology, NAIST, Japan), Prof. Ken Tanaka (Toyama University, Japan), Emmanuel Paradis, PhD. (lnstitut de Recherche pour le Developpement, IRD, France), Prof. Dr .. Ir. Rizaldi Boer, MS (Bogor Agricultural University), and Prof. Dr. Ir. Antonius Suwanto, M.Sc. (Bogor Agricultural University).
We would like also to extend our thanks and appreciation to all participants and referees for the wonderful cooperation, the great coordination, and the fascinating efforts. Appreciation and special thanks are addressed to our colleagues and staffs who help in editing process. Finally, we acknowledge and express our thanks to all friends, colleagues, and staffs of the Faculty of
Mathematics and Natural Sciences IPB for their help and support.
Bogor, March
2014
The Organizing Committee
International Seminar on Sciences 2013
,' ' '·
Board of Editors
Foreword
Table of Content
Table of Content
Page
111
IV
v
A. Sustainability and Science Based Agriculture
2
3
4
5
6
7
8
9
Development of a natural rubber dryer Based on multi energy resources (biomass, solar and wind)
Didin Suwardin, Afrizal Vachlepi, Mili Pubaya, Sherly Hanifarianty
Characterization ofHDTMABr-modified Natural Zeolite and its Budi Riza Putra, Latifah K
Application in Cr(VI) Adsorption Darusman, Eti Rohaeti
Potency of Andrographis paniculata, Tinospora crispa, and Wulan Tri Wahyuni, Latifah K
Combjnation Extract as Darusman, Rona Jutama
.a-GJucosidase Inhibitor and Chromatographic Fingerprint Profile of the Extracts
Utilization of Frond Palrri Oil as Second Generation Bioethanol Deliana Dahnum, Dyah Styarini,
Production using Alkaline Pretreatment and Separated Hydrolysis Sudiyarmanto, Muryanto,
and Fermentation Method Haznan Abimanyu
Pretreatment of Grass Biomass with Biological Process for Efficient Hydrolysis
)
Alkaloid Compounds from Oil-Free Mahogany Seed (Swietenia macrophylla, King) and Hypoglycemia Effect of Mahogany Seed on The Rat (Rattus nov.ergicus)
Utilization OfVetiver Roots Waste Product as Strong, Low Density, and Eco Friendly Material Pot
Green Products from Wastewater of Tempe Industry
Saccharification of Oil Palm Empty Fruit Bunch After Alkaline Pretreatment Followed by Electron Beam Irradiation for Ethanol Production
Desy Kurniawati, Muhamad Natsir, Rahmi Febrialis and Prima Endang Susilowati
Sri Mursiti, Sabirin Matsjeh, Jumina, and Mustofa
Galuh Suprobo, Tatang
Gunawan, Cynthia Andriani, Rio Candra Islami
Susanti Pudji Hastuti, Yofi Brarnantya Adi, Bary Fratama, Samuel Arunglabi,
Dewi KAK Hastuti, and Santoso Sastrodiharjo
Muryanto, Eka Triwahyuni, Yanni Sudiyani
3
7
17
21
27
31
43
47
55
10 Isolation and Screening ofEndophytic Bacteria from Bark ofRaru Wasinton Simanjuntak, Heri 61
Plant (Tarrietia ribiginosa) and Their Potential for Bioetahnol Satria, and Nurul Utami
The Effect of Hypertension Herbs Formula to The Kidney Agus Triyono, Saryanto 67
Functions
12 The Use of Activated Carbon from Bintaro Fruit-Shell (Cerbera Anni Wulanawati, Kamella 71
manghas) as an Adsorbent to Increase Water Quality Gustina and Djeni Hendra
13 Analysis of Active Compounds from Mangosteen Rind (Garcinia Fachrurrazie, Harry Noviardi 77
mangostana L.) by Binding Affinity to The Androgen Receptor as
Anti-Prostate Cancer Drug Candidates
v v
14 Antioxidant Activity from Formula of Jati Belanda (Guazuma Syaefudin, Sulistiyani, Ed:c 81 (
ulmifolia Lamie), Jambu Biji (Psidium guajava Linn.), and Salam Djauhari Purwakusumah
'----'
(Eugenia polyantha Wight.) Leaves Extract
----·-15 Diversity of Bacterial Mercury Reductase Resistance (merA) from Prima Endang Susilowati, Sapto 87
Bombana Gold Mine Raharjo, Rachmawati Rusdin,
Muzuni
16 Brake Fem{Pteris vittata) as a Prospective Heavy Metal Mochamad Taufiq Ridwan, Rike 91
Accumulator: Utilization Potentials of Harvested Biomass and Tri Kumala Dewi and Agung
Heavy Metal Hasan Lukman
.
17 Protein Content Enhancement of Spirulina pl<:tensis by Irving Noor Arifin, lin 99
Phosphorus Limitation and Nitrogen Addition in Beef Cattle S'upartinah Noer and Asri Peni
Wastewater Medium Wulandari
18 Development immobilized enzyme of white-rot fungus for Ajeng Arum Sari and Samo 103
decolorization ofRBBR Tachibana
19 Simple and Rapid Screening Method for Early Identification of Sintho Wahyuning Ardie, Nurul 109
Salt Tolerant Foxtail Millet (Setaria italica L. Beauv) Khumaida, and Amin Nur
'
20 Synthesis of Silver Nanoparticles by Using Extracellular Suryani, Ridho Pratama, Dimas 113
Metabolites ofLactobacillus delbrueckii subsp. bulgaricus Andrianto /
B.
Science of Complexity
11921 Regional Heat Capacity Changes due to Changes of Land Cover Winda Aryani, ldung Risdiyanto 121
Composition Using Landsat-5 TM Data
22 Microbial Cellulolytic Isolation and Identification from Durian Hapsoh, Gusmawartati dan 129
Leather Waste . Ujang AI Husnah
23 Predicting Water Surplus and Water Deficit in the Paddy Rice Johanis H . Panelewen, Johannes 135
Production Center in North Sulawesi Using the Water Balance E. X. Rogi and Wiske
Model Rotinsulu3
24 Prediction of Dustfall Generation in Ambient Air over an AriefSilbdo Yuwono, Lia 143
Inceptisol Soil Area Amaliah
" • \
25
Carboxymethylation ofMicrofibrillated Cellulose to Improve Fitri Adilla, Lisman 149Thermal and Mechanical Properties of Poly lactic Acid Composites Suryanegara, Suminar S. Achmadi
26 Esterification ofMicrofibrillated Cellulose with Various Ajeng Mawangi, Lisman 155
Anhydrides to Improve Thermal and Mechanical Properties of Suryanegara, Suminar S.
Polylactic Acid Composite Achmadi
27 Thermal and Mechanical Properties Improvement of Poly lactic Resty Dwi Andinie, Lisman 161
Acid-Nanocellulose Composites by Acetylation Suryanegara, Suminar S.
Achmadi
C. Mathematics, Statistics and Computer Science
16728 The comparison spatial distribution observed, estimatated using Rado Y endra, Ari Pani Desvina, 169
Neyman-Scott Rectangular Pulse Method (NSRP), and simulation Abdul Aziz Jemain for mean of one-hour rain and probability of24-hour rain
29 :Qptimal VARlnjectien -Based on Neural Network Current State Dimas Fajar Uman P, Ontoseno 175
:Estimator for 2-0kV Surabaya Electrical Distribution System Penangsang, Adi Soeprijanto
30 Fire-Fighting Robot Navigation System Using Wall Following Karlisa Priandana, Erwin M Y 181
Algorithm and Fuzzy Logic Chriswantoro, Mushthofa
31 Analysis and Solving of Outliers in Longitudinal Data Viarti Eminita, Indahwati, 187
Anang Kurnia
32 Implementation of Flowers and Ornamental Plants Landscape Meuthia Rachmaniah and 193
Information System using Cloud Computing Technology Iswarawati
33 Cluster Information of Non-sampled Area in Small Arca Rahma Anisa, Anang Kurnia, 199
Estimation with Non-normally Distributed Area Random Effects Indahwati
and Auxiliary Variables
34 Study of Overdispersion for Poisson and Zero-Inflated Poisson Lili Puspita Rahayu, Kusman 203
Regression on Some Characteristics of the Data Sadik, Indahwati
35 The Effect of Two-Way and Three-Way Interaction of Perceived Erui.y Kristiani, Ujang 209
Rewards on the Relationship Quality Sumarwan, Lilik Noor Yulianti
& Asep Saefuddin
36 Implementation oflnverse Kinematics for the Coordination Wulandari, Karlisa Priandana, 213
Control of Six Legged Robot Agus Buono
37 Detection of C Code Plagiarism by Using K-Means Ahmad Ridha, Abi Panca 219
Gumilang
38
Temporal Entity Tagging for Indonesian Documents Ahmad Ridha, Agus Simamora 22339
Multidimensional Poverty Measurement Usir.g Counting Indah Soraya, Irwan Susanto, 2294
5
·6
n
18
19
50
51
52
53
54
Minimizing
Linear
Optimization Model of Basic ReproductionNumber in a Fixed Number of Vaccination Coverage using Interior Point Method Approach
D. Chaerani, A. Anisah, N . Anggriani, Firdaniza
235
Expert System for Plant Growth using Hormones and Exogenous Yaasiinta Cariens, Karlina Nisa 241
· Factors based on Fuzzy Approach
The Effect of Divergent Branches on GPU-Based Parallel Program Hendra Rahmawan, Yudi Satria 247
Performance Gondokaryono
Ensemble of Extreme Estimates Based on Modified Aji Hamim Wigena, Anik 253
Champernowne and Generalized Pareto Distributions Djuraidah, Muhammad Hafid
Genetic Algorithms Application for Case Study of Septian Rahardiantoro, Bagus 259
Multi-Criteria Decision Analysis (MCDA) Sartono, Totong Martono
on the Data Contained Missing Value
An Implementation ofParallel AES Algorithm Aditya Erlangga, Endang 265
for Data Encryption with GPU Purnama Giri, Karlisa Priandana
Constructing Orthogonal Fractional Factorial Split-Plot Designs Bagus Sartono, Y enni Angraini, 269
by Selecting a Subdesign Dependently to Another Subdesign Indahwati
Spatial Clustering of Hotspots using DBSCAN and ST-DBSCAN Utsri Yustina Purwanto, Baba 275
Barus,and Hari Agung Adrianto
Gap between the セッキ・イ@ and Upper Bounds for the Iteration Bib Paruhum Silalahi 281
Complexity oflnterior-Point Methods
Black Approximation To Determine Value Of Call Option On Jacob Stevy Seleky, Endar H. 287
Stock In Indonesian Stock Exchange Nugrahani, I Gusti Putu Pumaba
Analysis of Portfolio Optimization With and Without Shortselling Kaleem Saleem, Abdul Kohar 291
Basd on Diagonal Model: Evidence from Indonesian Stock Market Irwanto, Endar Hasafah Nugrahani
Community Network Framework as a Support of Successful Rina Trisminingsih, Christine 299
Agricultural Community Suryadi, Husni S. Sastramihardja
THE TRANSMISSION MODEL OF DENGUE FEVER Paian Sianturi, Ali Kusnanto, 305
DISEASE: A COMPUTER SIMULATION MODEL Fahren Bukhari
Improving the Independence of the Components of a Hari Wijayanto, Bagus Sartono, 311
Decomposition in Time Series Data Casia Nursyifa
Modeling and Empirical Mapping of Vehicular Traffic System: Endar H. Nugrahani, Hadi 322
Case Study of Jabodetabek Region Sumarno, Ali Kusnanto
. "
·.
55
56 57 58 59 60 61 62 63 64 65D. Biosciences and Bioresources
A QuEChERS Based Method for The Determination of Pesticide Residues in Indonesian Green Coffee Beans Using Liquid Chromatography Tandem Mass Spectrometry
Design and Implementation of Roaster Control System Using Image Processing
Genetic Variation ofDGATllEael Gene of Holstein Friesian in National Dairy Cattle Stations
The Potency of Dahlia Tubers as Prebiotic for Functional Food
Harmoko, Rahmana Emran Kartasasmita, and Astika Tresnawati
Mohamad Agung Prawira Negara, Satryo Budi Utomo, Sumardi
Santiananda A. Asmarasari
Ainia Herminiati, Sri Pudjiraharti, Budi Setiawan
DNA identification using Markov Chain as feature extraction and Toto Haryanto, Habib Rijzaani,
Probabilistic Neural Network as classifier . Muhammad Luthfi Fajar
Multiple Sequence Alignment with Star Method in Graphical Processing Unit using CUDA
Abalone (Haliotis asinina) Wound Detection System Using Histogram and Morphology
Local Alignment of DNA Sequence Using Smith-Waterman Algorithm
Muhammad Adi Puspo Sujiwo, Wisnu Ananta Kusuma
Noer Fitria Putra Setyono, Aziz Kustiyo, Dwi Eny Djoko Setyono
Fariz Ashar Himawan, Wisnu Ananta Kusuma
Agronomic performance and yield potential of 18 com varieties in Anggi Nindita, Willy Bayuardi
Indonesia Suwamo, Surjono Hadi Sutjahjo,
Perdinan
Characteristic and Phisychochemical Properties of Sweet Potatoes Ai Mahmudatussa'adah (lpomoea batatas L)
Determination of Harvesting Time of Three Peanut Varieties Based on Heat Unit Accumulation
Heni Pumamawati, Yoga Setiawan Santoso, Yudiwanti Wahyu
66 Respon of Celery (Apium graveolens) Leaves Yield to Plant
Population and Seed Number Per Planting Hole
Karo, B, Marpaung, A. E., Tarigan, R., Barus, S. and Khaririyatun, N.
67 Bioethanol Production from Sugarcane Bagasses by Acid
Hydrolysis and Fermentation with Candida tropicalis
1,
Inda Setyawati , Laksmi Amba.rsari, Waras nオイ」ィセャゥウL@
,, Popi Asri Kumiatin, Puspa Julistia Puspita 323
325
·333 339 345 351 359 365 371 377 381 387 391 Oセ@/
39768 Toxic Compounds ofDichloromethane Extract ofMakasar Fruits Gustini Syahbirin, Rina Fazilatur 401
(Bruceajavanica) based on Artemia salina Leach Analysis Rahmi, Purwantiningsih Sugita
'
.,,
SYNTHESIS OF SILVER NANOPARTICLES BY USING
EXTRACELLULAR METABOLITES OF
Lactobacillus
delbrueckii
subsp.
bulgaricus
Suryani
1,Ridho Pratama
2,Dimas Andrianto
3•.2.Jl Department of Biochemistry, Faculty of Mathematics and Natural Sciences Bogor Agricultural University, Indonesia
JI. Agatis, Kampus IPB Darmaga 16680, Bogor E-mail: ani3110@yahoo.com
Abstract
The silver nanopartic/es were used for many applications such as antifungal, anti bacterial, nanosensors, and food wrappers. Synthesis of silver nanopartic/es using microbes as well as metabolites have been developed with
consideration of the hazardous waste free environment. The aim of this research was to synthesize silver
nanopartic/es by オウゥセァ@ extracellular metabolites of L. delbrueckii subsp. bulgaricus. The synthesis silver
nanopartic/es was carried out by reacting the extracellular metabolites of L. delbrueckii subsp. bulgaricus with
silver nitrate (AgNOJ) solution. Reduction of Ag+ ions occurred by interaction of the extracellular enzyme that
produced by L. delbrueckii subsp. bulgaricus. The silver nanoparticles was detected by UV-Vis
spectrophotometer based on speci.fi.c absorption spectrum at the 400 nm wavelength. The result of Fourier Transform Infrared (FTJR) analysis showed that organic component played an important role in the silver nanoparticles formation. The enzyme was estimated as the organic component in the extracellular metabolites of
L. delbrueckii subsp. bulgaricus and had a role in the formation of silver nanoparticles. Furthermore, particles
size analysis conformed that average size of formed silver nanoparticles was 2. 7 nm and considered as silver
nanoparticles.
Keywords: AgN03, extracellular metabolites, Lactobacillus delbrueckii subsp. bulgaricus, synthesis of silver
nanoparticle
I.
INTRODUCTIONSilver nanoparticles have been used in various fields
such as antifungal (Vivek et al 2011), antibacterial
(Prasad et al 2011), nanosensor, pesticides, cleaners
for water and soil, food wrappers (Bouwmeester, 2007), also can reduce infections after surgery
(Kalishwaralal et al 2009).
. セゥャカ・イ@ nanoparticles can be synthesized by
··· physically, chemically, and biologically (Kumar
.
ZM セ セqーIN@·
Synthesis of silver nanoparticles byセG| イNセyNsゥセャャケ@ and chemically have disadvantages for its
·.-. _ility and aggregation (Kaliswaralal et al 2010) ,. poUute the environment. Synthesis of silver . . articles biologically is one of the alternative to \ke silver nanoparticles that more safe to the '· runent. Silver nanoparticles can be obtained :reduction of silver ions by microorganisms
セウ@ bacteria, yeast, or fungi (Tolaymat et al
, セ@ - Synthesis of nanoparticles using
:raanisms are less expensive, non-toxic, high "vity, and easily adapted to the ambient
temperature and pressure (Reyes 2009). Therefore, silver nanoparticles have great potential to be developed in the future.
Synthesis of silver nanoparticles using the fungus
has also been reported by Sadowski et al (2008)
from Aspergillus niger as an agent biosynthesis.
Kumar & Mamidyala (2011) states that the
metabolites of Pseudomonas aeruginosa can be used
for extracellular biosynthesis of silver nanoparticles .
L. delbrueckii is a Gram positive, facultative
anaerobic, homofermentative, rod-shaped, not
sporulating, Synthesis of nanoparticles of this bacterium needs to be studied .
This aim of this research was to synthesis of silver '
nanoparticles by using extracellular metabolites of L .
delbrueckii subsp.bulgaricus. The result of this
research 」。ョセ ーイッカゥ、・@ scientific information on the
biosynthesis of silver nanoparticles by reaction of
extracellular metabolites that safe for the
environment and can be applied in the field of medical and industries.
II. Methodology
a. Determination of Growth Curve
Lactobaci/lus delbrueckii subsp. bulgaricus was
refreshed on MRS medium and incubated at 42°C
for 16 hours at shaker incubator (120 rpm). The growth curve was determined by calculating the
optical density (OD) of Lactobacillus delbrueckii
subsp. bulgaricus after incubated at 0, 4, 8, 16, 32;
and 64 hours and measured the absorbance at 620 nm wavelength.
b. Synthesis of Silver Nanoparticles (Saravanan
et al 2011)
The bacteria were incubated at 42 ° C with agitation speed 150 rpm for 24 hours. Cells biomass and medium were separated by centrifugation (16000 g, 10 min). The 100 mL of supernatant culture were
mix:ed with 0.017 grams AgN03 and incubated in
dark chamber at room temperature. Mixture was allowed to stand for 30 minutes until the color changed. from clear to brown as an indicator of the
reaction between the supernatant and AgN03
c:
Analysis of Silver Nanoparticles With UV-Vis· ' '" ··Spectrophotometer (Saravanan et al 2011)
Supernatant (reacted with AgN03) was taken 2 mL
for analysis by UV-Vis spectrophotometer and scanning at 200-800 nm wavelength. The formed peak will be analyzed for indication of silver · nanoparticles.
d. FfIR Analysis for Silver Nanoparticles (Kumar & Mamidyala, 2011)
Potassium bromideJKBr powder (200 mg) was made into tablets. The supernatant was dripped into potassium bromide tablet and then measured at wavelength 400-4000 cm·•. The results of frequency . spectrum measurement will further analyzed using correlation to determine the chemical bonds in organic compounds contained in the sample.
e. Analysis of of Silver nanoparticles Size by
Particles Size Analysis/PSA (Kim et al. 2006)
The refractive index and viscosity of solution that contained silver nanoparticles were analyzed first and then PSA. The average size of the silver nanoparticles were known by compared with size distribution of silver nanoparticles.
ID. RESULTS AND DISCUSSIONS
Growth curves of Lactobacillus delbrueckii subsp.
bulgaricus and AgN03 Treatment results
Biosynthesis of silver--nanoparti-cles"""'Were""""started
subsp. bulgaricus grown at 40-43°C as
optitn.ii·;,_
エ・ュー・セエオイ・N@
The culture of L.、・ャ「イオ・セォゥゥ@
セセ
ォR@
?ul?ancus were grown on セ@ medium. ᄋセィゥエA H セ@
md1cated the changes of medium from clear: , ·, '
cloudy that caused by accumulation ofbiomas,s
」[|セ ZN[@
'. ;.
The aim of growth curves making is to detenni11e
optimum growth conditions of L. delbrueckii
Sl)bsp
bulgaricus. Observation was done for 64 hours 。エセ@
2, 4, 8, 16, 32, 48, 64 hours after incubation (Figure
I). The L. delbrueckii subsp. bulgaricus
was
stillclear after 2 hours incubation as considered lag
phase i.e the phase of bacterial adaptation to
the
growth medium. Cell biomass increased only
slightly during this phase that caused slightly changed culture density. The log phase (exponential) started after 8 hours up to 16 hours incubation which indicated the optical density or turbidity value
increased and reached 1,754 (Figure 1). In this phase
L. delbrueckii subsp. bulgaricus have been able to
adapt to the medium and population growth increased exponentially (Black 2008). Furthermore,
the stages of growth deceleration occurs after 16
hours incubation time. In this phase, changes of
nutrition and environmental caused limitation of
bacterial growth.
2
l
1.8
-l
l
1.6
i
1.4
i
<!) !
セQNR@
1
-e
1 Mセ@o
I
セPNX@
1
0.6 l
i
0.4 .,
I
0.2 セ@
0
セ A lM MセM
MMセM
M MMNMMMセ
N@
0 20 40
hours 60 80
Figure l. The turbidity growth curve of
Lactobacil/us delbrueckii subsp. bu/garicus
before after
Figure 2. Reaction with AgN03 before addition of
I •
.
...
· garvesting of L. delbrueckii subsp. bulgaricus for
. bjosynthesis of silver nanoparticles were carried out : ' after 24 hours incubation time when reached
. >statisioner phase. At the statisioner phase L.
· delbrueckii subsp. bulgaricus produced organic
compounds such as primary metabolites and secondary metabolites more than at the exponential pbaSe (Kunaepah, 2008). The next stage was
separation of cell biomass of L. delbrueckii subsp.
bulgaricus with growth medium containing
compounds the metabolites. Supernatant that
containing metabolites of L. de/brueckii subsp.
bulgaricus then added with AgN03 (0.017 g/100
mL).
There was color changes from clearto
dark brown and became turbid after incubation for 30 minutes (Figure 2). Reaction of reduction directly observed by color changes of the solution (Kumar 2011). The color changes occurred due to thereaction between organic compounds that
acclJJllulate in the bacterial growth medium
contained AgN03 that indicated bioreduction. Then,
UV - vis analysis was conducted to confirm whether
the compound formed silver nanoparticles.
Biosynthesis of Silver Nanoparticles by
Lactobaci/lus delbrueckii subsp. bulgaricus
UV-Vis Spectrophotometer Analysis Result The objectives for confirmation bioreduction of
AgN03 compound into silver nanoparticles was to
ensure that the color changes was biochemical reaction that indicates . the formation of silver nanoparticles. Indication of nanoparticles formation was known from peak absorption at 370-500 nm
wavelength (Solomon et al., 2007). In this research,
the formation of absorption peak was at 400 nm wavelength (Figure 3).
セ@
QJ UI c"'
t:E
"' c
ft!
セ@
ᄋセᄋセmM MM
[image:13.599.33.295.29.790.2] [image:13.599.315.567.40.667.2]·---;;:;;;----Wavelength
Figure 3. Absorption spectrum of silver
nanoparticles by L. delbrueckii subsp. bulgaricus
The absorption peak at 400 run wavelength indicated that there had been formation of silver nanoparticles
using extracellular metabolites L. delbrueckii subsp.
bu/garicus. According to Solomon et al. (2007),
absorption of silver formed at range 370-500 nm
wavelength. Analysis of UV Vis
spectrophotometer (Figure 3) provided information
the amount of nanoparticles formed. The higher
absorbance values can be assumed that the number of nanoparticles formed. Absorption peaks were very high that reached maximum absorbance value
was 4 that indicated formation of silver
nanoparticles in the solution .
Absorption spectrum was very important indicator to determine the formation of silver nanoparticles in the bioreduction of silver (Ag) ions. Visual observation of the color changes was not enough to prove whether or not the silver nanoparticles formation.
FfIR Analysis Result for the detection of Functional Groups in Formation of Silver N anoparticles
FTIR analysis results indicated that there were several strong absorption peaks, i.e at wavelengths
of 3432, 1642.1401, 1124 cm·1• The peak indicated
the bond contained in organic compounds in solution
of silver nanoparticles (Figure 4 ). Organic
compounds released by L. delbrueckii subsp.
bulgaricus had an important role in the bioreduction
of silver nitrate compounds. Spectrum with a
wavelength of 3432 cm·1 showed the content of
organic .compounds with the N-H bond of amines and amides compounds with moderate intensity.
Shaligram et al. (2009) stated that presence of amine
group indicated presence of proteins in biosynthesis of silver nanoparticles, because this compound was a peptide bond that linked amino acids to fonn proteins. FTIR analysis results indicated that there was an organic compound that played an important role during formation of silver nanoparticles
セMセ@
.セ
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,
f'-t
r
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セ@
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I
V
c
I
c
g
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c
ft! 0
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Ill
i n セョ@
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セセセ@L M MᄋMLNNMMMᄋセセN@ ----r--- MMMセMェ@
J;IJ()
=
ZiOll=
•500 \00& SI}Wavelength
Figure 4. Spectrum of FTIR in silver nano particles solution
These compounds セ。、@ role in reducing and wrap
silver nanoparticles to form stable and homogen sizes of nanoparticles. Protcin-suspected as one of organic component that had role in the formation of silver nanoparticles. Further analysis is needed to
determine specific protein or other organic
compounds that play a role in formation of silver nanoparticles. Reactions that occurred in formation of silver nanoparticles are oxidation and reduction that there was electron transfer between oxidation and reduction agent. The silver (Ag) ions was positively charged ions if reacted with organic compounds that produced by metabolic processes of bacteria will release electrons. This condition will
change silver (Ag} ions turn into Ag0• The enzyme
binded to the nitrate compounds from silver nitrate
(AgN03) and using nitrate as substrate. The enzyme
was nitrate reductase that played a role in the reduction of nitrate became nitrite.
The Size of Silver Nanoparticles by PSA
Analysis of the nanoparticles size was performed by
using PSA (Particle Size Analysis). PSA was
considered more accurate than Scanning Electron
Microscope (SEM). Transmission Electron
Microscope (TEM) and Scanning Force Microscope .(SFM), especially for samples in the order of nanometer and submicron which usually have a high agglomeration tendency (Lidiniyah 2011 ). PSA measurement result in the form of distribution can be used to determine the overall particle size. Measurements were performed at 25°C using refractive index l.3390 and viscosity samples were . 2.1700 cp. Value of refractive index and viscosity
will improve the accuracy of PSA measurement.
Based on the PSA analysis, it was known that average size of silver nanoparticles was 2.7 nm and PI (Polydispersity Index) was 0.351. PI value describes of the width of the size distribution of
particles. If PI value less than 0.3, it indicated that
particle size distribution is narrow and more homogeneous particle size, whereas PI values greater than 0.3, it indicated wide distribution and particle size tended more varied (Figure 5). The silver nanoparticles had PI value 0.351 that indicated
silver nanoparticles had homogen particles size. It
was proven that the metabolites of L. delbrueckii
subsp. bulgaricus had ability to synthesis of silver
nanoparticles when reacted with AgN03.
35
l!
,'
- r : -·· ' .· ·, .... 30
-tr--- ---
+-"#- セ Z セセセNNNNNLセセセセセKMセセセセ@
セ@ 25
t---:-t-·---セ@
20_;L___
·---L-·---·----·
:J :t '
z
.,_.._ _ _
セ@
セ@
lti
c
s +
-0 .!.,_
-- -- -- · ----
---·-·-IV. CONCLUSIONS
Metabolites of Lactobacillus delbrueckii
SUbsp _
bulgaricus had ability to synthesize of
sil ·
nanoparticles when reacted with AgN03• . ; ; .
absorption peak of silver nanoparticles occurred ·
400 nm wavelength. The organic molecules
had
atrole in formation of silver nanoparticles by reducj '
AgN03 into silver nanoparticles. The size of
silvng
nano particles was 2. 7 nm. er
ACKNOWLEDGEMENT
We would like to thank for Directorate of General Higher Education Indonesia (DIKTn that provided this funding research (in 2012).
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