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All Journal International Journal of Electrical and Computer Engineering Squalen Bulletin of Marine and Fisheries Postharvest and Biotechnology
Islam, Md. Reazul
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Computer Science & IT Electrical & Electronics Engineering Environmental Science Immunology & microbiology

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Effect of Sodium Alginate Coating Incorporated with Epigallocatechin Gallate and Peanut Oil on Refrigerated Hilsa (Tenualosa ilisha) Chunk Hossain, Onamika; Faridullah, Md.; Islam, Md. Reazul
Squalen, Buletin Pascapanen dan Bioteknologi Kelautan dan Perikanan Vol 20, No 3 (2025): December 2025
Publisher : :Agency for Marine and Fisheries Research and Human Resources, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15578/squalen.1093

Abstract

Hilsa, the national fish of Bangladesh, is highly perishable despite its high nutritional value. Low-temperature preservation, salting, and synthetic preservatives are used to extend the shelf life of hilsa. Nowadays, researchers are searching for safer alternatives. Edible coatings are a safe and effective method for extending the shelf life of fish. This research aims to assess the efficacy of a sodium alginate-based edible coating enriched with the antioxidant and antimicrobial agent epigallocatechin gallate (EGCG) and peanut oil for preserving the quality and extending the shelf life of refrigerated hilsa fish chunks (HFC). In the experiment, HFC samples were divided into four treatment groups: T1 (sodium alginate, 2%), T2 (sodium alginate 2% with peanut oil 1%), T3 (sodium alginate 2%, peanut oi 1%, and EGCG 0.2%), and a control group (CON) treated with distilled water. Samples were stored at 4±1 °C and evaluated over 12 days for biochemical parameters, including pH, total volatile base nitrogen (TVB-N), thiobarbituric acid reactive substances (TBARS), and microbial counts on tryptic soy agar (TSA) and violet-red bile agar (VRB). Initial pH values (5.73±0.03 to 5.74±0.04) were not significantly different (p0.05), but T3 exhibited a significant increase by day 12 (6.54±0.04, p0.05). TVB-N levels showed that T3 remained within acceptable limits until day 9, while CON and T1 exceeded spoilage limits by day 6. TBARS values surpassed the oxidative rancidity threshold of 2 mg MDA/kg by day 6 in CON and day 9 in T1 and T2, while T3 remained acceptable until day 9. Sensory evaluation indicated that T3 maintained its quality longer than the other treatments. These findings suggest that sodium alginate coatings with EGCG and peanut oil effectively extend the shelf life of refrigerated HFC, offering a sustainable alternative to synthetic preservatives.
The ethics of AI technology in academic work: assessing the line between assistance and plagiarism Patwary, Md. Owafeeuzzaman; Islam, Md. Reazul; Islam, Abtahi; Khan, Nur-e Sarjina; Al–Jubair, Md. Abdullah; Hossen, Md. Jakir; Mridha, M. F.
International Journal of Electrical and Computer Engineering (IJECE) Vol 16, No 2: April 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v16i2.pp924-944

Abstract

The integration of artificial intelligence (AI) into academia has transformed educational practices and enhanced personalized learning and problem-solving capabilities. However, this raises significant ethical concerns regarding the balance between legitimate assistance and plagiarism. This study investigated public perceptions of AI in academic settings, focusing on its impact on effectiveness, dependency, and ethical considerations of AI use. A survey of 498 respondents from various educational roles was conducted, and the data were analyzed using SPSS for descriptive statistics, chi-square tests, and regression analyses. The results identified a significant correlation between people’s educational roles and their interaction with AI tools (χ2(6) = 16.488, p = 0.036), reflecting the diverse patterns of interaction within the academic community. More frequent use of AI was linked to less dependency (β = −0.298, p < 0.001), contradicting the widespread belief of over-reliance on AI. Age and educational role had limited explanatory value in perception of AI dependency issues (R2 = 0.033). The findings indicate a strong correlation between AI usage frequency and dependency levels, with increased exposure to AI fostering a more critical approach rather than a dependent one. Concerns regarding the unethical use of AI, inaccuracies in AI-generated content, and the need for clear institutional policies were also highlighted. This study underscores the importance of responsible AI integration, advocating for ethical frameworks and educational interventions to ensure that AI enhances learning without compromising academic integrity.
Co-Authors Al–Jubair, Md. Abdullah Faridullah, Md. Hossain, Onamika Hossen, Md. Jakir Islam, Abtahi Khan, Nur-e Sarjina Mridha, M. F. Patwary, Md. Owafeeuzzaman