SUPERVIVENCIA DE Bacillus cereus LSPQ 2872 Y Escherichia coli O157:H7 BAJO RADIACIÓN GAMMA MODELADA CON ENTROPÍA DE TSALLIS

The objective was to model the survival of Bacillus cereus LSPQ 2872 and Escherichia coli O157:H7 exposed to gamma radiation, using Tsallis entropy and the Monte Carlo simulation method. Monte Carlo simulations were performed with a noise level of 0.05 to assess the sensitivity of the Tsallis entropy-based models (dose-proportional effect, linear-quadratic dose-effect relationship, and Sotolongo et al.). Random values were generated for the parameters (α, β, γ, D0, and D10) of the gamma irradiation effect. The dose-proportional effect, linear-quadratic dose-effect relationship, and Sotolongo et al. models showed a good fit to the survival data of Bacillus cereus and Escherichia coli exposed to radiation. For Bacillus cereus, the dose-proportional effect and linear-quadratic dose-effect models showed similar lethal doses (0.935 and 0.844 kGy), while the Sotolongo et al. model showed a lower lethal dose (0.406 kGy), indicating greater radiation efficacy. In Escherichia coli, the dose-proportional effect and linear-quadratic dose-effect models also showed similar lethal doses (0.716 and 0.745 kGy), and the Sotolongo et al. model showed a lower lethal dose (0.319 kGy), indicating greater efficacy. Tsallis entropy-based models are suitable for describing membrane behavior and biochemical changes in bacteria exposed to gamma radiation.

Authors

Publication Details

Journal
Magazine Portal Bibliotech Digital (Universidad Nacional de Colombia)
Published
2026-01-20
Primary Topic
Effects of Radiation Exposure
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

SUPERVIVENCIA DE Bacillus cereus LSPQ 2872 Y Escherichia coli O157:H7 BAJO RADIACIÓN GAMMA MODELADA CON ENTROPÍA DE TSALLIS

Danny G. Apaza, Mayomi Mestas, Arnold J. Quispe
Magazine Portal Bibliotech Digital (Universidad Nacional de Colombia)
Effects of Radiation Exposure
article

SUPERVIVENCIA DE Bacillus cereus LSPQ 2872 Y Escherichia coli O157:H7 BAJO RADIACIÓN GAMMA MODELADA CON ENTROPÍA DE TSALLIS

Danny G. Apaza, Mayomi Mestas, Arnold J. Quispe
article en

Abstract

The objective was to model the survival of Bacillus cereus LSPQ 2872 and Escherichia coli O157:H7 exposed to gamma radiation, using Tsallis entropy and the Monte Carlo simulation method. Monte Carlo simulations were performed with a noise level of 0.05 to assess the sensitivity of the Tsallis entropy-based models (dose-proportional effect, linear-quadratic dose-effect relationship, and Sotolongo et al.). Random values were generated for the parameters (α, β, γ, D0, and D10) of the gamma irradiation effect. The dose-proportional effect, linear-quadratic dose-effect relationship, and Sotolongo et al. models showed a good fit to the survival data of Bacillus cereus and Escherichia coli exposed to radiation. For Bacillus cereus, the dose-proportional effect and linear-quadratic dose-effect models showed similar lethal doses (0.935 and 0.844 kGy), while the Sotolongo et al. model showed a lower lethal dose (0.406 kGy), indicating greater radiation efficacy. In Escherichia coli, the dose-proportional effect and linear-quadratic dose-effect models also showed similar lethal doses (0.716 and 0.745 kGy), and the Sotolongo et al. model showed a lower lethal dose (0.319 kGy), indicating greater efficacy. Tsallis entropy-based models are suitable for describing membrane behavior and biochemical changes in bacteria exposed to gamma radiation.

Magazine Portal Bibliotech Digital (Universidad Nacional de Colombia)
Openalex Percentile: Top 38%
Effects of Radiation Exposure
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.