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Indonesian Journal of Life Sciences LPPM - Indonesia International Institute for Life Sciences (i3L) Jl. Pulomas Barat Kav. 88, Jakarta Timur, 13210 Indonesia
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INDONESIA
Indonesian Journal of Life Sciences
Published by Indonesia International Institute for Life Sciences
ISSN : -     EISSN : 26560682     DOI : http://doi.org/10.54250/ijls
Core Subject : Health, Science, Agriculture, Engineering,
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Medicine & Pharmacology
The Indonesian Journal of Life Sciences (IJLS) is a journal published by Indonesia International Institute for Life Sciences Press (i3L Press). IJLS is a scientific journal contains original research articles, review articles, and short communication covering all aspects in life sciences. This journal provides immediate open access to its content on the principle that making research freely available to the public to support a greater global exchange of knowledge. Readers can view abstracts and download full-text articles (PDF) free at any cost. All manuscripts submitted to the Indonesian Journal of Life Sciences will be screened for plagiarism and blind peer-reviewed to present valuable and authentic findings in life sciences. Authors with original, clearly analyzed, and logically interpreted research result in the scope of food innovation and nutrition, bio-products and services for sustainable society, information technology in life sciences, as well as health and well-being are very welcome to submit their articles. Every article issued to the editorial of the Indonesian Journal of Life Sciences is free of charge including the cost of repairing the article. IJLS is published bianually on March and September. Manuscripts are accepted on a continuous basis and the submisison is opened through the year.
Arjuna Subject : Imunologi dan Mikrobiologi (semua kategori) - Mikrobiologi dan Bioteknologi Terapan
Articles 8 Documents
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Search results for , issue "2023: IJLS Vol 05 No .02" : 8 Documents clear
The Potential Use of Algae as Biosorbents for Mercury Removal in the Indonesian Water Bodies Josefano, Richelle Bertly; Belva, Felicia Lael; Yoel, Abigail; Rahardja, Richelle Tirta; Dharmawan, Nethania Angeline; Tjandra, Noah William; Bani, Mario Donald
Indonesian Journal of Life Sciences 2023: IJLS Vol 05 No .02
Publisher : Indonesia International Institute for Life Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54250/ijls.v5i02.164

Abstract

Contamination of mercury in the water body in Indonesia has become a big concern for many people due to the harmful effects of this heavy metal when it enters the body. Mercury contamination may cause neurological disorders that lead to loss of senses, and damage the brain, the central nervous system, the kidney, and can lead to birth defects. Human activities, such as Coal-Fired Power Plants (CFFPs) and Artisanal and Small-Scale Gold Mining (ASGM) as well as other mining activities, are among the biggest contributors of mercury emissions in Indonesia’s water body. Biosorbents such as fungi, bacteria and algae can be utilized to alleviate this problem, with algae being the most reliable biosorbent due to its abundance in Indonesia, low cost manufacturing, and high metal ion binding capacity. There are three varieties of algae that can be used as a mercury biosorbent: green algae (Chlorophyta), red algae (Rhodophyta), and brown algae (Phaeophyta). Different studies have shown that the most compatible mercury biosorbent is green algae due to its highest mercury absorption capacity. However, there are limited studies about the use of algae in Indonesia as mercury biosorbent.
Molecular Biomarkers and Pathophysiology Specific to Bipolar Disorder Salim, Megan Angelita; Abriana, Felicia Michelle; Tirta, Matthew Aurelius; Sanny, Sanny; Kristiani, Lidya
Indonesian Journal of Life Sciences 2023: IJLS Vol 05 No .02
Publisher : Indonesia International Institute for Life Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54250/ijls.v5i02.173

Abstract

Bipolar disorder (BD) is an episodic neuropsychiatric disorder with fluctuations between manic and depressive phases according to their types (BDI/BDII/cyclothymic), contributing to the decreased quality of life due to the impairment of cognitive abilities. Early detection is needed for proper treatment, however, the gold standard Structured Clinical Interview for DSM-IV results in misdiagnosis due to its inability to distinguish BD from other neuropsychiatric disorders. Therefore, diagnosis through molecular biomarkers can be performed to accurately distinguish BD from other neuropsychiatric disorders. This review aims to elaborate the evidence of molecular biomarkers in BD patients from recent studies, which may be fundamental in clinical practices for accurate diagnosis. Proteomic studies provide evidence for the differentially expressed proteins, namely brain-derived neurotrophic factors, which can differentiate BD from major depressive disorder and schizophrenia. Moreover, genetic alterations from genomic and transcriptomic studies found that CACNA1C, ANK3, FADS2, and other genes may predispose an individual to BD. Some of these genes are closely related to BD pathophysiology occurrence, including impaired oxidative phosphorylation, imbalance in calcium homeostasis, and neuroinflammation, all of which arise due to mitochondrial dysfunction. These pathophysiology can be alleviated by proper administration of mood stabilizers, antipsychotics, and anticonvulsants, but novel treatments targeting specific pathophysiology and biomarkers of BD are required for better treatment effectiveness. Keywords: Bipolar disorder; mania/depression; molecular biomarker; mitochondrial dysfunction; pharmacotherapies
Identification, Extraction, Phytochemical Screening and Study of Antimicrobial Activities of Native Papuan Tree Bark Extract: Dysoxylum Alliaceum and Aglaia sp. Hadrian, Edwin; Raharja, Gabriella Lysette; Anvolia, Kelly; Insani, Rayyane Mazaya Syifa
Indonesian Journal of Life Sciences 2023: IJLS Vol 05 No .02
Publisher : Indonesia International Institute for Life Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54250/ijls.v5i02.174

Abstract

Indonesia has one of the most diverse groups of ethnicities and high levels of biodiversity. Accordingly, this leads to a great wealth of ethnobotanical knowledge, where different ethnic groups develop their own methods for utilizing local plants. In Sorong, West Papua, locals often used tree barks for medication, two of which are known locally as Kayu Bawang (KB) and Kayu Teh (KT). KB and KT were morphologically identified in this study and their tree barks were extracted. Crude extracts of the tree barks were obtained via maceration using different solvents (hexane, chloroform, ethyl acetate, acetone, and methanol) with a ratio of 1:15 (w/v). Later, the extract was screened for phytochemicals (alkaloids, tannins, phlobatannins, saponins, terpenoids, flavonoids, and cardiac glycosides) followed by an assessment of antimicrobial properties. KB and KT were identified as Dysoxylum alliaceum and Aglaia sp. using the leaves, tree barks, and roots. The extraction yields of KT were highest in methanol (11.4%), while KB showed the highest yield in chloroform (1.83%). KT extracts were shown to contain all seven phytochemicals, while KB extracts lacked in tannins and flavonoids. Antimicrobial activity against E. coli and S. aureus was exhibited by 5% of KB ethyl acetate extract. These findings confirm the potential for KB and KT tree bark applications as functional food in the food industry.
Development of Long QT Syndrome Detection Using SciPy Himawan, Moses; Sadrawi, Muammar
Indonesian Journal of Life Sciences 2023: IJLS Vol 05 No .02
Publisher : Indonesia International Institute for Life Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54250/ijls.v5i02.178

Abstract

Long QT syndrome (LQTS) is a type of arrhythmia that manifests itself as the elongation of the QT interval. LQTS is caused due to different disorders in the sodium and potassium channels which results in reduced activity of the cardiac muscle. To diagnose LQTS, an algorithm is used to detect the elongated QT interval through detection of the peaks using Python. The current build of the algorithm is able to detect different ECG graphs for their QT interval with relative accuracy however is not capable of detecting the different components if the graph has too much noise or if they have irregular wavelengths due to other cardiovascular disease (CVD).
Effects of SARS CoV-2 mRNA Vaccines on Graves' Disease Febriana, Gabriella Gita
Indonesian Journal of Life Sciences 2023: IJLS Vol 05 No .02
Publisher : Indonesia International Institute for Life Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54250/ijls.v5i02.180

Abstract

The development of SARS CoV-2 mRNA vaccines has been claimed as a breakthrough in the medical research field. Moreover, these vaccines have been proven to reduce SARS CoV-2 transmission. However, the administration of these vaccines also found to interfere with thyroid functions in some individuals, which include newly onset Graves’ disease in immunocompromised people and worsening condition in Graves’ disease patients. This article reviews cases on Graves’ disease following the administration of first and second dose of SARS CoV-2 mRNA vaccines between the year 2021 and 2022. Furthermore, the possible mechanisms of Graves’ disease development following mRNA vaccines administration are being discussed in this review article.
Comparative Study of K-Mean, K-Medoid and Hierarchical Clustering using Data of Tuberculosis Indicators in Indonesia Pradana Ratnasari, Nanda Rizqia
Indonesian Journal of Life Sciences 2023: IJLS Vol 05 No .02
Publisher : Indonesia International Institute for Life Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54250/ijls.v5i02.181

Abstract

Cluster analysis is an important topic and analysis in which the ultimate goal is to classify data into several groups based on similar basic. The most applied cluster methods or algorithms are k-means, k-medoids and hierarchical clustering methods. Therefore, this study aimed to compare methods in cluster analysis employing healthcare data on attributes related to TB. The best method will be assigned based on the level of accuracy for each algorithm and the number of clusters. There were four main steps in the clustering analysis used in this study, which were feature selection, clustering algorithm, cluster validation and interpretation. The clustering algorithm used are k-means, k-medoids and hierarchical clustering, with cluster sizes of 2, 3 and 4. The result showed that k-medoids have a higher accuracy than other clustering algorithms or methods. This study explained that compared to k-means and hierarchical clustering, k-medoid had the highest accuracy for both training and testing data. K-medoid was better than the other two algorithms as it was more robust to noise and outliers which were found in the datasets. This outcome was consistent with the training and testing datasets. In terms of the number of clusters, the two-cluster model was better than the three-cluster or the four-cluster model as this model could classify the groups vividly. The results were consistent in k-mean, k-medoid and hierarchical clustering methods, with the smallest sum of squares value of 24.7% for the k-mean. The smallest diameters and the average dissimilarities of k-medoid models were found in group 1. This result explained that group 1, in all algorithms, was more compact and more similar than other groups.
Process Modeling and Techno-Economic Analysis of Xylitol Production from Oil Palm Empty Fruit Bunch (OPEFB) using SuperPro Designer® Salam, Wildan Qoharisma; Pramanda, Ihsan Tria; Harjanto, Fariz Hutama Putra; Rukmana, Jaka
Indonesian Journal of Life Sciences 2023: IJLS Vol 05 No .02
Publisher : Indonesia International Institute for Life Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54250/ijls.v5i02.183

Abstract

The utilization of OPEFB as a biomass waste from the crude palm oil industry offers a potential avenue for producing xylitol through biotechnological processes. The production of xylitol involves a series of steps, including hydrolysis, fermentation, and purification. Xylitol, a sugar alcohol used as a food sweetener, is obtained in crystalline form. However, the fermentation process generates impurities that need to be separated to achieve a high purity level of xylitol. To address this, a combined approach of membrane distillation and cooling batch crystallization was employed in this study. The feasibility of establishing a xylitol production plant was assessed through simulation and techno-economic analysis using SuperPro Designer software version 12. The plant was designed to produce 3.00 MT/batch of xylitol as the primary product, requiring 20 MT/batch of OPEFB. Each batch operation lasted for seven days, with a batch cycle occurring every three days. The simulation was evaluated based on the annual operating cost (AOC). The project incurred a total investment of $2.00 MM, with an annual operating cost of $3.78 MM, and generated yearly revenues of $6.84 MM. The economic analysis revealed that the plant was economically viable, with a payback period of 11 months, a gross margin of 44.71%, and an internal rate of return (IRR) of 62.26%.
Assessing the Influence of Butter-Substitution with Margarine in Sorbitol and Sucrose Cereal Bar Base: Taste, Texture, and Aroma Evaluation by Consumer Preference Angrainy, Hanny; Chandra, Thalia; Anjali, Cailin; Utama, Nicholas Kevin
Indonesian Journal of Life Sciences 2023: IJLS Vol 05 No .02
Publisher : Indonesia International Institute for Life Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54250/ijls.v5i02.188

Abstract

A B S T R A C T Taste, texture, and aroma are fundamental sensory properties in influencing consumer liking of cereal bars. The majority of consumers ranked ‘taste’ as the most important characteristic influencing their purchase intent, followed by textural and aroma features which define the product quality and acceptability. Butter is a major component in cereal bars, and plays an important role in its sensorial properties, however butter is expensive and not vegan friendly. Margarine is often used to substitute butter due to the cost and increasing trend of plant-based. This research aimed to study the effect of butter substitution with margarine in sorbitol and sucrose cereal bar towards consumer preference on taste, texture, and aroma. Four types of samples: sucrose-butter, sucrose-margarine, sorbitol-butter, and sorbitol-margarine were examined using triangle and 9-scale hedonic tests among 50 panelists. Results of this study showed that the substitution of butter with margarine in sucrose cereal bars were found to have a significant difference on various attributes, including firmness, chewiness, taste, and aroma. Furthermore, for the ranking test, the most preferred samples were butter-sorbitol and margarine-sucrose cereal bar base with similar proportion, which is 38% of participants. While the least favorite sample was butter-sucrose with 64% of panelists choosing the samples. This indicates that different combination ingredients can provide high consumer product acceptance for a cereal bar and can be used to develop a butter substitute cereal bar product desirable for the consumer market.

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