Author(s):
Agung Sosiawan, Ali Rohman, Norhidayu Muhamad Zain
Email(s):
agung-s@fkg.unair.ac.id
DOI:
10.5958/0974-360X.2020.00196.1 
Address:
Agung Sosiawan1,2,3, Ali Rohman4, Norhidayu Muhamad Zain5
1Halal Products Service and Research Center, Universitas Airlangga, Surabaya, Indonesia.
2Department of Dental Public Health, Faculty of Dental Medicine, Universitas Airlangga, Surabaya, Indonesia.
3Department of Odontology Forensic, Faculty of Dental Medicine, Universitas Airlangga, Surabaya, Indonesia.
4Faculty of Science and Technology, Universitas Airlangga, Indonesia.
5Halal Study Center, Universiti Teknologi Malaysia, Malaysia.
*Corresponding Author
Published In:
Volume - 13,
Issue - 3,
Year - 2020
ABSTRACT:
N'Background: Indonesia, home to the largest Muslim population in the world, is a major potential market for halal products, yet one which is subject to frequent adulteration of imported food items. The application of halal forensic scientific methods to detect adulteration is essential in determining the halal quality of food content. Purpose: The purpose of this study was to evaluate the DNA content of molecular-based food products presumed to having been mixed in order to determine their halal quality. Materials and Methods: The research was descriptional in character using the D-Loop region for the primary design relating to six species, namely Gallus gallus (chicken), Sus sacrofa (pork), Boss Taurus (bovine), Capra hircus (goat), Equus caballus (horse), Rattus novergicus (rat) and the optimization of the cytochrom b primer as a comparative control of primary D-Loop success. Result: The study showed that the D-loop region can potentially be employed for investigative purposes within the halal forensic field as the primary cytochrom b mitochondrial DNA used for comparison. Conclusion: Primer that designed from displacement loop region and cytochrome b in mitochondria from six species can be used for determination in halal forensic as sensitive DNA amplification using PCR.'
Cite this article:
Agung Sosiawan, Ali Rohman, Norhidayu Muhamad Zain. The use of Displacement Loop mtDNA in Halal Forensic Investigation in Indonesia. Research J. Pharm. and Tech 2020; 13(3):1069-1073. doi: 10.5958/0974-360X.2020.00196.1
Cite(Electronic):
Agung Sosiawan, Ali Rohman, Norhidayu Muhamad Zain. The use of Displacement Loop mtDNA in Halal Forensic Investigation in Indonesia. Research J. Pharm. and Tech 2020; 13(3):1069-1073. doi: 10.5958/0974-360X.2020.00196.1 Available on: https://rjptonline.org/AbstractView.aspx?PID=2020-13-3-1
REFERENCES:
1.
Ali M.E. U.
Mustafa Hashim, S, Che Man Y.B, Dhahi Th.S, Kashif M, Kamal Uddin Md, Abd Hamid
S.B. Analysis of pork adulteration in commercial meatballs targeting
porcine-speci fic mitochondrial cytochrome b gene by TaqMan probe real-time
polymerase chain reaction. Meat Science 2012; 91: 454– 459
2.
Rahman Mahfujur
Md, Ali Eaqub Md, Abd Hamid Sharifah Bee, Bhassu Subha &
Mustafa Shuhaimi, Al Amin
Md., Abdur Razzak Md. 2. Lab-on-a-Chip PCR-RFLP Assay for the Detection of Canine
DNA in Burger Formulations. Food Anal. Methods 2015; 8:1598–1606.
3.
Mutalib Sahilah Abd., Wan Nazri Wan Sakeenah, Shahimi Safiyyah, Yaakob Norhayati,
Abdullah Sani Norrakiah, Abdullah Aminah, Babji Abdul Salam and Ghani Maaruf
Abd,. Comparison Between Pork And Wild Boar Meat (Sus Scrofa) By Polymerase
Chain Reaction-Restriction Fragment Length Polymorphism (Pcr-Rflp). Sains
Malaysiana 2012; 41(2): 199–204
4.
Jeanette, T. ,2013. “Chinese police seize more than 20,000 kg of fake
beef”. Available via http://my.news.yahoo.
com/blogs/what-is-buzzing/chinese-police-seize-more-20-000kg-
fake-beef-035448883.html Accessed 14 Sep 2018
5.
Ulca P, Balta H,
Cagin I, Senyuva HZ. Meat species identification and Halal authentication using
PCR analysis of raw and cooked traditional Turkish foods. Meat Sci; 2013 94(3):
280–284.
6.
Hsieh YHP, Woodward BB, Ho SH. Detection of species substitutioln in raw
and cooked meats using immunoassays” J Food Prot 1995; 58(5):555–559
7.
Alikord Mahsa,
Momtaz Hassan, Keramat Javad, Kadivar Mahdi, Rad Homayouni Aziz. Species
identification and animal authentication in meat products: a review. Food
Measure 2017; 30: 89-93
8.
Lim, A. C. And Wong, C.M.V.L, 2013. “Development of Techniques Based
On Polymerase Chain Reaction- Restriction Fragment Length Polymorphism
(PCR-RFLP) For Meat Identification (Halal & Non-Halal)” University Malaysia
Sabah (Ums) Funding Under The Fundamental Research Grant (Research Grant No.:
B-0901-13-Pr/U023).
9.
Asma Al-Tamimi,
Yaquob Ashhab, 2012. “Identification of Meat Species And Meat Products By A
Multiplex PCR Method”. Biotechnology Research Center, Palestine Polytechnic
University, Hebron, Palestine
10. Alaraidh Ibrahim Abdullah, 2008. “Improved DNA Extraction Method For Porcine
Contaminants, Detection In Imported Meat To The Saudi Market”. Saudi Journal Of
Biological Sciences;15 (2): 225-229
11. Untergasser A, Cutcutache I, Koressaar T, Ye J,
Faircloth BC, Remm M and Rozen SG. Primer 3--new capabilities and interfaces.
Nucleic Acids Res 2012; 40(15): e115
12. Ye J, Coulouris G, Zaretskaya I, Cutcutache I, Rozen
S, Madden T. Primer-BLAST: A tool to design target-specific primers for
polymerase chain reaction. BMC Bioinformatics 2012; 13:134
13. Doosti A, Ghasemi PD, Rahimi A, Molecular Assay to
fraud identification of meat products” J Food Science Technology 2014;
51(1):148-152
14. Norrakiah, A.S., Shahrul Azim, M.G., Sahilah, A.M. and
Abdul Salam, B. Halal analysis of raw materials, ingredients and finished
bakery products using PCR and gene chip southern-hybridization for detection of
porcine DNA. International Food Research Journal 2015; 22(5): 1883-1887
15. Sosiawan Agung, Raharjo
Dadik, Nuraini Indah, Kartikasari Nadia, Nugraha Patera Alexander and Dimas
Muhammad Aditya Ari. Detection of short tandem repeats at 5 loci and amelogenin
with cell-free fetal DNA as a specimen in the development of prenatal
paternity diagnostic tests” Egyptian Journal of Forensic Sciences
2018; 8: 15.
16. Chaobo, X., Feng, G.., Pingya,
W., Jin, Z. and Yuanyuan, L. Development and utility of a tri-primer PCR for
simultaneous detection of cattle, sheep and pig in meat products.
International Food Research Journal 2017; 24(1): 159-163.