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Temperature Effects on Growth and Culture Stability of Chlorella sp. in Laboratory Cultivation Anggraini, Winda Trisna; Santoso, Ruth Suci Wadini; Saputri, Wulandari Prasetya; Prakoso, Nurcahyo Iman; Utami, Maisari; Sasongko, Setyo Yanus; Purwiandono, Gani
INDONESIAN JOURNAL OF CHEMICAL RESEARCH Vol. 11 No. 1 (2026): Volume 11, ISSUE 1, 2026
Publisher : Chemistry Department, Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/ijcr.vol11.iss1.art5

Abstract

The growth behavior of chlorella sp. was evaluated under different temperature conditions to examine how thermal variation influences microalgal biomass production and culture dynamics. Cultivation experiments were conducted at 28, 35, and 40°C under continuous illumination with aeration. Biomass accumulation was monitored through optical density measurements at 680 nm, while physicochemical parameters including pH and total dissolved solids (TDS) were recorded throughout cultivation. Stable biomass accumulation was observed at 28°C, whereas growth became less consistent at 35°C and declined at 40°C, indicating increasing thermal stress at higher temperatures. Variations in pH and TDS during cultivation supported the observed temperature-dependent metabolic response. The analytical workflow used to monitor microalgal growth was further evaluated using the AGREE metric based on the principles of Green Analytical Chemistry. The estimated AGREE score of approximately 0.76 indicates a moderately green analytical procedure. The results highlight the importance of temperature control in maintaining stable microalgal cultivation and demonstrate the potential of integrating environmental performance assessment into microalgal growth studies.
MOLECULAR DOCKING AND IN SILICO ANALYSIS OF PSIDIUM GUAJAVA L. LEAF METABOLITES AGAINST PfDHFR AND PfLDH: UNVEILING NEW ANTIMALARIAL CANDIDATES Nurcahyo Iman Prakoso; Apriyadi Pramana; Alyaa Natta Cherry Waluyo; Gani Purwiandono; Pinus Jumaryatno; Atina Ahdika
Walisongo Journal of Chemistry Vol. 9 No. 1 (2026): Walisongo Journal of Chemistry
Publisher : Department of Chemistry Faculty of Science and Technology UIN Walisongo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/wjc.v9i1.31732

Abstract

Resistance of Plasmodium falciparum to conventional antimalarial drugs has created an urgent need for new drug candidates. In this study, six bioactive compounds identified from guava (Psidium guajava L.) leaves, namely quercetin, guaijaverin, 3-tert-butyl-4-methoxyphenol, petasitolone, hyptatic acid, and stigmastane-3,6-dione, were evaluated as potential inhibitors of PfDHFR and PfLDH using in silico approaches, including target identification and validation, molecular docking, binding pocket analysis, and ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) prediction. Both enzymes were highly expressed during the ring stage, essential, non-redundant, and selective toward human homologs, supporting their suitability as antimalarial targets. Molecular docking against PfDHFR revealed that stigmastane-3,6-dione exhibited the strongest binding affinity (−10.4 kcal/mol), followed by guaijaverin (−9.6 kcal/mol) and quercetin (−8.7 kcal/mol), with stable interactions involving key active-site residues. Against PfLDH, quercetin and hyptatic acid showed the best binding affinity (−8.0 kcal/mol), followed by guaijaverin and stigmastane-3,6-dione (−7.7 kcal/mol). However, binding pocket analysis showed that only quercetin, guaijaverin, and petasitolone properly occupied the active binding pocket, whereas hyptatic acid and stigmastane-3,6-dione interacted outside the catalytic site. These findings indicate that quercetin, guaijaverin, and petasitolone may act through competitive inhibition. Molecular dynamics simulation (20 ns) was subsequently performed on selected protein–ligand complexes, in which quercetin and stigmastane-3,6-dione were selected as representative top ligands, while chloroquine was included as a positive control. RMSD, RMSF, and ligand movement analyses demonstrated that quercetin exhibited greater stability in PfLDH than chloroquine. Overall, this study identifies quercetin, guaijaverin, petasitolone, and stigmastane-3,6-dione as promising antimalarial candidates, supported by ADMET predictions showing favorable pharmacokinetic properties and providing a strong rationale for further in vitro and in vivo evaluation.
Mn2+ Assisted Catalytic Hydrolysis of Water Hyacinth Cellulose under Mild Conditions Prasetya Saputri, Wulandari; Suci Wadini Santoso, Ruth; Trisna Anggraini, Winda; Iman Prakoso, Nurcahyo; Utami, Maisari; Yanus Sasongko, Setyo; Purwiandono, Gani
EKSAKTA: Journal of Sciences and Data Analysis VOLUME 7, ISSUE 2, October 2026
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/EKSAKTA.vol7.iss2.art1

Abstract

Cellulose isolated from water hyacinth was hydrolyzed using organic and biomimetic acid catalysts under controlled thermal and solvent conditions. Piperazine dihydrogen sulfate showed higher hydrolysis efficiency compared to glutamic and maleic acids. The presence of Mn2+ further enhanced depolymerization, increasing cellulose conversion from 35.35% to 41.40% in aqueous medium and up to 49.48% in a water-acetonitrile system at 85°C. Despite increased depolymerization, glucose yield remained below 16%, with a maximum value of 15.26% obtained in the Mn2+-assisted aqueous system. The discrepancy between overall hydrolysis and glucose formation indicates the presence of soluble intermediates or secondary transformation during heating. The reaction pathway is consistent with proton-assisted glycosidic bond cleavage enhanced by metal coordination. Greenness assessment using the AGREE metric yielded an overall score of 0.56, indicating moderate environmental performance primarily limited by batch configuration and energy demand.
The Quality of Sub-Bituminous Coal in East Kalimantan using Proximate Analysis and Parametric Statistical Testing under ASTM D388 Purwiandono, Gani; Reskita Haryono, Madha
INDONESIAN JOURNAL OF CHEMICAL RESEARCH Vol. 11 No. 2 (2026): Volume 11, ISSUE 2, 2026
Publisher : Chemistry Department, Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/ijcr.vol11.iss2.art4

Abstract

Coal remains a major fossil fuel in the industrial and power-generation sectors, which makes rigorous quality assessment essential to determining its suitability for use. Prior studies on sub-bituminous coal quality have typically reported mean values of proximate and sulfur parameters without testing statistically which parameter drives quality differences among samples. This study evaluated 20 coal samples from a mining area in Kutai Barat Regency, East Kalimantan, Indonesia, through proximate analysis, total sulfur determination, and calorific value measurement under ASTM standards (D3173-17a, D3174-12, D3175-20, D4239, and D5865), coupled with normality testing and one-way ANOVA to assess the statistical significance of variation among coal sub-ranks. Mean values were 13.44% moisture, 15.24% ash, 40.21% volatile matter, 40.89% fixed carbon, 0.379% total sulfur, and 5,517.20 kcal/kg calorific value; all six parameters followed a normal distribution (p 0.05, Kolmogorov-Smirnov and Shapiro-Wilk). One-way ANOVA across the three sub-rank groups (Sub-bituminous A, B, and C) showed that moisture, volatile matter, fixed carbon, total sulfur, and calorific value did not differ significantly (p 0.05), whereas ash content did (p 0.033; F 4.194), identifying ash content as the single dominant driver of sub-rank variation within this mining area. Under ASTM D388, every sample fell within the Sub-bituminous rank (30% Class A, 60% Class B, 10% Class C), with low sulfur content (1%) favorable for environmental performance, although combustion efficiency is constrained by a comparatively high ash content. These findings support pairing ASTM-standard laboratory testing with variance-based statistical evaluation to map quality drivers at the scale of mine operations.