Supplementary Files
Keywords
Spektrofotometer UV-Vis
Spektrofotometer Nanodrop
How to Cite
Abstract
DNA quality test is one of the basic techniques in Molecular Biology which aims to determine the presence or absence of protein and RNA contamination. DNA quantity test can be done using a spectrophotometer. Spectrophotometer is a tool used to measure the concentration of a compound based on its ability to absorb light. The purpose of this study was to determine differences in DNA purity as measured by UV-Vis Spectrophotometer and Nanodrop Spectrophotometer. The method used in this research is descriptive exploratory with purposive sampling technique. The number of samples used is 15 samples. The results of this study are that there are differences in the concentration and purity of DNA from quantitative tests with UV-Vis spectrophotometers and Nanodrops obtained based on statistical tests using the T Dependent Test. The result of this research is that in measuring DNA purity there is a difference in DNA purity because the results of Sig (2-Tailed) use 0.001 or below 0.05 (Ha is accepted). And based on statistical tests on DNA concentration measurements, it is known that there are differences in DNA concentrations.
References
Harahap, A. S. (2017). Uji Kualitas dan Kuantitas DNA Beberapa Populasi Pohon Kapur Sumatera. Journal of Animal Science and Argonomy Panca Budi, 2(2), 1 – 6. http://jurnal.pancabudi.ac.id/index.php/jasapadi/article/view/96/80
Sinaga, E. (2010). Biologi Molekuler Ekspresi Gen. Fakultas Biologi Universitas Nasional. Diakses dari http://repository.unas.ac.id/1546/1/Lamp.%20A33-Diktat-Biomol-Regulasi%20Ekspresi%20gen.pdf
Warono, D. & Syamsudin. (2013). Unjuk Kerja Spektrofotometer untuk Analisa Zat Aktif Ketoprotein. Konversi, 2(2), 57 – 65.
Tasma, I. M., Satyawan, D., & Rijzaani, H. (2016). Pembentukan Pustaka Genom, Resekuensing, dan Identifikasi SNP Berdasarkan Sekuen Genom Total Genotipe Kedelai Indonesia. Jurnal AgroBiogen, 11(1), 7. https://doi.org/10.21082/jbio.v11n1.2015.p7-16
Perwitasari, D. A., Faridah, I. N., Dania, H., Irham, L. M., Salsabila, F. V., & Maliza, R. (2020). Genotype of Potassium Inwardly Rectifying Channel, Subfamily J, Member 11 (KCNJ 11) Gene and Glycaemia Control in Diabetic Patients: A Narrative Review. Systematic Reviews in Pharmacy, 11(9), 627–631. https://doi.org/10.31838/srp.2020.9.92
Mimbacas, A., García, L., Zorrilla, P., Acosta, M., Airaudo, C., Ferrero, R., Pena, A., Simonelli, B., Soto, E., Vitarella, G., Fernandez, J., & Javiel, G. (2009). Genotype and phenotype correlations in diabetic patients in Uruguay. Genetics and Molecular Research, 8(4), 1352–1358.
Koopaee, H. K., & Koshkoiyeh, A. E. (2014). SNPs genotyping technologies and their applications in farm animals breeding Programs: Review. Brazilian Archives of Biology and Technology, 57(1), 87–95. https://doi.org/10.1590/S1516-89132014000100013
J. R. Beveridge and E. M. Riseman, "How easy is matching 2D line models using local search?" IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 19, pp. 564-579, June 1997.
Dorado, G., Besnard, G., Unver, T., & Hernández, P. (2019). Polymerase Chain Reaction (PCR). Encyclopedia of Biomedical Engineering, 1–3(6), 473–492. https://doi.org/10.1016/B978-0-12-801238-3.08997-2 L. Liu and H. Miao, "A specification based approach to testing polymorphic attributes," in Formal Methods and Software Engineering: Proc.of the 6th Int. Conf. on Formal Engineering Methods, ICFEM 2004, Seattle, WA, USA, November 8-12, 2004, J. Davies, W. Schulte, M. Barnett, Eds. Berlin: Springer, 2004. pp. 306-19.
J. Lach, "SBFS: Steganography based file system," in Proc. of the 2008 1st Int. Conf. on Information Technology, IT 2008, 19-21 May 2008, Gdansk, Poland [Online]. Available: IEEE Xplore, http://www.ieee.org. [Accessed: 10 Sept. 2010].
Aminah, A., Ramadini, R., & Naid, T. (2019). Analisis Cemaran DNA Tikus pada Bakso Daging Sapi yang Beredar di Makassar dengan Metode Polymerase Chain Reaction (PCR). Jurnal Farmasi Galenika (Galenika Journal of Pharmacy) (e-Journal), 5(1), 93–100. https://doi.org/10.22487/j24428744.2019.v5.i1.12036
Abrar, S., Muhammad, K., Zaman, H., Khan, S., Nouroz, F., & Bibi, N. (2017). Molecular genetic analysis of Type II diabetes associated m.3243A>G mitochondrial DNA mutation in a Pakistani family. Egyptian Journal of Medical Human Genetics, 18(3), 305–308. https://doi.org/10.1016/j.ejmhg.2016.12.001
This work is licensed under a Creative Commons Attribution 4.0 International License.