POLA PROSES AGREGASI SEL DALAM DARAH-EDTA DENGAN METODE SPEKTROFOTOMETRI PADA PENDERITA KANKER

KUNCORO ASIH NUGROHO, Prof. Dr. Kamsul Abraha, Dr. Ngadikun, M. Biomed.

2018 | Disertasi | S3 Ilmu Fisika

Tujuan penelitian ini adalah 1) mengetahui perbedaan pola proses agregasi sel darah sebagian besar hidup pada subjek normal, penderita kanker kolorektal, dan penderita kanker Ovarium, 2) menjelaskan pola proses agregasi eritrosit dengan persamaan energi Gibbs, Nernst, potensial zeta, dan gaya Coulomb. Pola proses agregasi sel darah dideteksi menggunakan spektrofotometer dengan panjang gelombang (lamda) = 560 nm. Volume darah yang digunakan sebanyak 550 cc. Laptop dikoneksikan dengan spektrofotometer untuk merekam data. Analisis data pola absorbansi menggunakan pendekatan deterministik dan pendekatan stokastik diperoleh tiga parameter deterministik dan tiga parameter stokastik dari masing-masing subjek penelitian. Pola grafik diperoleh dengan normalisasi data. Hasil analisis uji One-Way ANOVA dan uji Kruskal-Wallis diperoleh hasil Phitung untuk masing-masing parameter (d1, d2, d3, s1, s2, s3) dari ketiga kelompok penelitian berturut-turut adalah 0,250; 0,170; 0,622; 0,40; 0,847; 0,677. Hasil Phitung ini dibandingkan dengan taraf signifikansi alfa= 0,05. Berdasarkan hasil analisis pola agregasi bahwa: pertama, berdasar parameter d1, d2, d3, s1, s2, s3 tidak ada perbedaan dari ketiga kelompok subjek penelitian. Berturut-turut persamaan gafik normalisasi data pola proses agregasi untuk subjek normal, kanker ovarium, kanker kolorektal dari analisis dengan pendekatan determisistik y = -3.10 pangkat -21 x pangkat 6 + 2.10 pangkat -17 x pangkat 5 - 4.10 pangkat -14 x pangkat 4 + 3.10 pangkat -11 x pangkat 3 - 5.10 pangkat -9 x pangkat 2 - 9.10 pangkat -7 x + 1; y = 2.10pangkat -20 x pangkat 6 - 8.10 pangkat -17 x pangkat 5 + 1.10 pangkat -13 x pangkat 4 - 4.10 pangkat -11 x pangkat 3 - 2.10 pangkat -8 x pangkat 2 + 1.10 pangkat -6 x + 1.0001; y = -2.10pangkat -20 x pangkat 6 + 1.10 pangkat -16 x pangkat 5 - 1.10 pangkat -13 x pangkat 4 - 6.10 pangkat -11 x pangkat 3 + 1.10 pangkat -7 x pangkat 2 - 2.10 pangkat -5 x + 1.0004. Pola grafik dari analisis stokastik adalah y = 3.10 pangkat -18 x pangkat 6 - 1.10 pangkat -14 x pangkat 5 + 2.10 pangkat -11 x pangkat 4 - 10 pangkat -8 x pangkat 3 + 2.10 pangkat -6 x pangkat 2 - 0.0016 x + 1.0024; y = 8.10 pangkat -18 x pangkat 6 - 3.10 pangkat -14 x pangkat 5 + 3.10 pangkat -11 x pangkat 4 -1.10 pangkat -8 x 3 + 9.10 pangkat -8 x pangkat 2 - 0.0011 x + 1.002; y = 6.10 pangkat -18 x pangkat 6 - 1.10 pangkat -14 x pangkat 5 + 5.10 pangkat -12 x pangkat 4 + 3.10 pangkat -9 x pangkat 3 - 3.10pangkat -6 x pangkat 2 - 0.0012 x + 0.9959. Kedua, pola proses agregasi eritrosit hidup tidak dapat dijelaskan dengan tepat menggunakan persamaan energi Gibbs, Nernst, potensial zeta, gaya Coulomb.

The purposes of the research are 1) to describe the difference of aggregation pattern of living cells in normal subjects, colorectal cancer patients, and ovarian cancer patients, and 2) to explain the patterns of erythrocyte aggregation process with the equation of Gibbs energy, Nernst, zeta potential, and Coulomb style A Spectrophotometer with the wavelength of (lamda) = 560 nm was installed to detect the patterns of blood cell aggregation process. The spectrophotometer rays were passed at the underside of a cuvette with 550 cc of the blood inside. A laptop was connected to the spectrophotometer to record the data. Deterministic and stochastic approaches to analyze the erythrocyte absorbance patterns found three deterministic parameters and three stochastic parameters from every group of participants. Data normalization was applied to draw the graphic patters. One-Way ANOVA and Kruskal-Wallis tests resulted in the Pvalues of 0,250; 0,170; 0,622; 0,40; 0,847; 0,677 from each parameter (d1, d2, d3, s1, s2, s3) with the significance number (alfa) of 0,05. The analysis of the aggregation patterns shows that: first, based on parameters d1, d2, d3, s1, s2, s3, there is no difference between the three groups of participants. Graph equations of data normalizations of the patterns of the aggregation process for healthy subjects, ovarian cancer subjects, and colorectal cancer subjects from the deterministic analysis are: y = -3.10 to the power of -21 x to the power of 6 + 2.10 to the power of -17 x to the power of 5 - 4.10 to the power of -14 x to the power of 4 + 3.10 to the power of -11 x to the power of 3 - 5.10 to the power of-9 x to the power of 2 - 9.10 to the power of -7 x + 1; y = 2.10 to the power of -20 x to the power of 6 - 8.10 to the power of -17 x to the power of 5 + 1.10 to the power of -13 x to the power of 4 - 4.10 to the power of -11 x to the power of 3 - 2.10 to the power of -8 x to the power of 2 + 1.10 to the power of -6 x + 1.0001; y = -2.10 to the power of -20 x to the power of 6 + 1.10 to the power of -16 x to the power of 5 - 1.10 to the power of -13 x to the power of 4 - 6.10 to the power of -11 x to the power of 3 + 1.10 to the power of -7 x to the power of 2 - 2.10 to the power of -5 x + 1.0004 consecutively. Based on the stochastic analysis, the equations are y = 3.10 to the power of -18 x to the power of 6 - 1.10 to the power of -14 x to the power of 5 + 2.10 to the power of -11 x to the power of 4 - 10 to the power of -8 x to the power of 3 + 2.10 to the power of -6 x to the power of 2 - 0.0016 x + 1.0024; y = 8.10 to the power of -18 x to the power of 6 - 3.10 to the power of -14 x to the power of 5 + 3.10 to the power of -11 x to the power of 4 -1.10 to the power of -8 x 3 + 9.10 to the power of -8 x to the power of2 - 0.0011 x + 1.002; y = 6.10 to the power of -18 x to the power of 6 - 1.10 to the power of -14 x to the power of 5 + 5.10 to the power of -12 x to the power of 4 + 3.10 to the power of -9 x to the power of 3 - 3.10 to the power of -6 x to the power of 2 - 0.0012 x + 0.9959 consecutively for healthy subjects, ovarian cancer subjects, and colorectal cancer subjects. Second, the pattern of erythrocyte aggregation process cannot be accurately explained by using the equation of Gibbs energy, Nernst, zeta potential, and Coulomb style.

Kata Kunci : erythrocyte, aggregation, absorbance, spectrophotometer