Identifikasi Patogen Vibrio Alginolyticus dalam Udang dengan Metode Spektroskopi Fluoresens

Avifa, Venny Nur (2023) Identifikasi Patogen Vibrio Alginolyticus dalam Udang dengan Metode Spektroskopi Fluoresens. Masters thesis, Institut Teknologi Sepuluh Nopember.

Text 6004211007-Master_Tesis.pdf - Accepted Version Restricted to Repository staff only until 1 April 2025. Download (4MB) | Request a copy

Abstract

Vibrio alginolyticus merupakan bakteri patogen yang banyak ditemukan di lingkungan perairan terutama budidaya perikanan. Bakteri ini dapat membawa gen toksin yang menyebabkan vibriosis, sehingga mengancam budidaya udang dan kesehatan masyarakat. Vibrio alginolyticus merupakan bakteri target analisis dan Vibrio parahaemolyticus, Bacillus subtilis, Bacillus licheniformis, Serratia marcescens sebagai bakteri interferens. Kisaran spektrum emisi fluoresensi dianalisa pada range 200 – 700 nm dan eksitasi 200 – 500 nm dengan interval 0,5 pada spektroskopi fluoresensi LS55 PerkinElmer. Panjang gelombang eksitasi (λex) dan emisi (λem) optimal ditentukan dengan synchronous scan. Nilai λex maksimum V. alginolyticus berada pada 279 nm dan λem pada 349 nm (λem = λex + ∆λ). Uji kuantitatif dilakukan pada bakteri V. alginolyticus dari sampel bakteri kultivasi dan real sampel benur udang. Nilai LoD untuk bakteri kultivasi berada pada 27317,4 (A1), 13008,29 (B1), 91058 (Body gerus B4) CFU/mL dan bakteri real sampel benur udang berada pada 50,6172 koloni. Bakteri V. Alginolyticus dianalisa pemisahan klasifikasinya dengan bakteri lain, real sampel positif V. alginolyticus, dan blanko real sampel dengan Principal Component Analysis (PCA). Hasil menunjukkan bahwa bakteri V. alginolyticusterpisah dengan baik dari bakteri interferens dan sampel blanko, namun berdekatan daerahnya dengan real sampel positif V. alginolyticus. Pada penelitian ini menunjukkan bahwa metode analisa spektroskopi fluoresens relatif lebih cepat, murah, dan membutuhkan persiapan sampel minimal dibandingkan dengan metode standar
======================================================================================================================================
Vibrio alginolyticus is a pathogenic bacterium that is commonly found in aquatic environments, especially aquaculture. This bacterium can carry a toxin gene that causes vibriosis, thus threatening shrimp farming and public health. Vibrio alginolyticus was the target bacteria for analysis and Vibrio parahaemolyticus, Bacillus subtilis, Bacillus licheniformis, Serratia marcescens were interfering bacteria. The range of fluorescence emission spectra was analyzed in the range 200 – 700 nm and excitation 200 – 500 nm with an interval of 0.5 on PerkinElmer LS55 fluorescence spectroscopy. The optimal excitation (λex) and emission (λem) wavelengths were determined by synchronous scan. The maximum λex values of V. alginolyticus were at 279 nm and λem at 349 nm (λem = λex + ∆λ). Quantitative tests were carried out on V. alginolyticus bacteria from cultivation bacteria samples and real shrimp fry samples. LoD values for cultivating bacteria were 27317.4 (A1), 13008.29 (B1), 91058 (Body gerus B4) CFU/mL and real bacteria samples of shrimp fry were at 50.6172 colonies. V. alginolyticus bacteria were analyzed for separation of classification from other bacteria, positive real samples of V. alginolyticus, and real sample blanks by Principal Component Analysis (PCA). The results showed that V. alginolyticus bacteria were well separated from the interfering bacteria and blank samples, but adjacent to the real V. alginolyticus positive samples. This study shows that the fluorescence spectroscopic analysis method is relatively faster, inexpensive, and requires minimal sample preparation compared to the standard method

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	Spektroskopi fluoresens, Synchronous scan, Bakteri patogen, Principal component analysis, Vibrio alginolyticus. Fluorescence spectroscopy, Synchronous scan, bacterial pathogen, Principal component analysis, Vibrio alginolyticus
Subjects:	Q Science > QD Chemistry > QD117.S64 Spectrophotometry
Divisions:	Faculty of Science and Data Analytics (SCIENTICS) > Chemistry > 47101-(S2) Master Thesis
Depositing User:	Venny Nur Avifa
Date Deposited:	13 Feb 2023 03:34
Last Modified:	13 Feb 2023 03:34
URI:	http://repository.its.ac.id/id/eprint/96578

Actions (login required)

View Item