Research Article
Banana Peels Enhanced with Lactobacillus Acidophilus as Radiotherapy Against Radiation Exposures Hazards
Eman Hamdy Nawar*
,
Wael Abdalla Elhelece
Issue:
Volume 1, Issue 1, December 2025
Pages:
1-13
Received:
28 September 2025
Accepted:
18 October 2025
Published:
3 December 2025
DOI:
10.11648/j.ijmri.20250101.11
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Abstract: Banana peel is a food by product, even it considered a waste and throw away, while it could be used as a food or in some cases as a drug according to its nutritional constituents. In this study we aim to use a mixture of dried banana peel powder (5% or 10%), lacteol forte (Lactobacillus acidophilus) enhanced diet to improve immunological parameters and overcome gamma radiation hazards. Examining effects of the diet enhanced with synbiotic mixtures previously mentioned on nutritional, haematological, liver profile, oxidative stress, immunological parameters as well as Histopathological examination in gamma irradiated male albino rats. 6Gy whole body single dose irradiated rats were randomly distributed into three groups, the first group was left as a positive control (C(+ve)), the second group was fed on a diet supplied with 5% dried banana peel powder and 109 lactobacillus colon forming unit (5% Ban.) group and the third group the diet supplied with 10% dried banana peel powder and 109 lactobacillus colon forming unit (10%Ban.) group the three groups were compared with the normal group (C(-ve) rats in the same conditions without any type of treatment). The results showed that hematopoietic system was damaged due to gamma radiation exposure. Also, Intestine tissue histopathology of the irradiated group (C(+ve)) was partially damaged compared to normal (C(-ve)). Diffuse and deep mucosal necrosis leading to severe loss of villi and crypts with prominent necrosis and depletion of lymphocytes in Payer's patches were obseved. All these effects were treated using the banana peels lactobacillus acidophilus symbiotic mixture and 10% group was the best.
Abstract: Banana peel is a food by product, even it considered a waste and throw away, while it could be used as a food or in some cases as a drug according to its nutritional constituents. In this study we aim to use a mixture of dried banana peel powder (5% or 10%), lacteol forte (Lactobacillus acidophilus) enhanced diet to improve immunological parameters...
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Methodology Article
Geometric Statistical Measures in the Analysis of Skewed and Zero-Valued Data: Implications for Biomedical Research
Issue:
Volume 1, Issue 1, December 2025
Pages:
14-19
Received:
7 September 2025
Accepted:
30 October 2025
Published:
8 December 2025
DOI:
10.11648/j.ijmri.20250101.12
Downloads:
Views:
Abstract: Research in fields such as biomedicine often generates data that do not conform to a normal distribution, exhibiting positive skewness (right skewness), as is characteristic of the log-normal distribution. In these scenarios, the use of the arithmetic mean (AM) and standard deviation (SD) can lead to misinterpretations of central tendency and dispersion, as the AM is sensitive to extreme values and overestimates wide numerical ranges. This paper presents a guide on the use of the Geometric Mean (GM), the Geometric Standard Deviation (GSD), and the Geometric Coefficient of Variation (GCV) as the most appropriate statistical tools for this type of data, as well as for sets with disparate numerical scales. The fundamental practical challenge of zero values, common in biomedical measurements such as viral loads or analyte concentrations, is addressed. A specific methodology for treating data with zeros is detailed and justified, consisting of the addition and subsequent subtraction of a unit to allow the calculation of geometric statistics. Finally, two approaches for calculating the Geometric Coefficient of Variation are analyzed and compared, highlighting its nature as a power basis rather than a simple mathematical ratio, and discussing its comparative utility despite its complex interpretation. The need for a better understanding and application of these metrics to improve the accuracy and reproducibility of data analyses is emphasized.
Abstract: Research in fields such as biomedicine often generates data that do not conform to a normal distribution, exhibiting positive skewness (right skewness), as is characteristic of the log-normal distribution. In these scenarios, the use of the arithmetic mean (AM) and standard deviation (SD) can lead to misinterpretations of central tendency and dispe...
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