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Unraveling the Physiological Mechanisms and Bioaccumulation Efficacy of Lemna perpusilla for Heavy Metal Phytoremediation in Yogyakarta River Wastewater Avianto, Yovi; Riyadi, Fajar; Hasibuan, Selvianyi Br; Nababan, Jeremia Gustian
Jurnal Biologi Tropis Vol. 25 No. 4b (2025): Special Issue
Publisher : Biology Education Study Program, Faculty of Teacher Training and Education, University of Mataram, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbt.v25i4b.10387

Abstract

Heavy metal pollution in Yogyakarta's rivers, caused by textile industries, sand mining, and domestic waste, poses significant environmental and health risks. While conventional water treatment methods face limitations, phytoremediation using Lemna offers a sustainable solution due to its ability to absorb heavy metals efficiently. This study assessed the impact of varying Lemna biomass (control, 20 g, 30 g, 40 g, 50 g per container) on reducing As, Cd, Cr, and Pb in textile, sand mining, and domestic wastewater over three weeks. Heavy metal concentrations were measured using an Atomic Absorption Spectrophotometer (AAS), and Lemna’s growth rates were analyzed using ANOVA followed by Tukey’s HSD. Results showed that Lemna perpusilla effectively adsorbs As, Cd, Cr, and Pb from domestic, sand mining, and batik textile wastewater, with higher biomass leading to improved removal efficiencies. Maximum heavy metal adsorption was observed in batik textile wastewater, achieving over 70% removal for all metals, while domestic and sand mining wastewater showed variable adsorption rates depending on the metal and Lemna biomass. Optimal biomass for growth and adsorption varied: 30 g for domestic, 50 g for sand mining, and 40 g for batik textile wastewater.
Evaluating the Efficiency of Lemna perpussilla in Removing Heavy Metals from River Wastewater in Yogyakarta Riyadi, Fajar; Hasibuan, Selviany Br; Nababan, Jeremia Gusti; Avianto, Yovi
Biota Vol 18 No 1 (2025)
Publisher : Universitas Islam Negeri Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Heavy metal pollution in Yogyakarta's rivers, caused by textile industries, sand mining, and domestic waste, poses significant environmental and health risks. While conventional water treatment methods face limitations, phytoremediation using Lemna offers a sustainable solution due to its ability to absorb heavy metals efficiently. This study assessed the impact of varying Lemna biomass (control, 20 g, 30 g, 40 g, 50 g per container) on reducing As, Cd, Cr, and Pb in textile, sand mining, and domestic wastewater over three weeks. Heavy metal concentrations were measured using an Atomic Absorption Spectrophotometer (AAS), and Lemna’s growth rates were analyzed using ANOVA followed by Tukey’s HSD. Results showed that Lemna perpusilla effectively adsorbs As, Cd, Cr, and Pb from domestic, sand mining, and batik textile wastewater, with higher biomass leading to improved removal efficiencies. Maximum heavy metal adsorption was observed in batik textile wastewater, achieving over 70% removal for all metals, while domestic and sand mining wastewater showed variable adsorption rates depending on the metal and Lemna biomass. Optimal biomass for growth and adsorption varied: 30 g for domestic, 50 g for sand mining, and 40 g for batik textile wastewater.
Photoperiod Extension Enhances Lettuce Performance Across LED Spectra in an Indoor Vertical Farming Setup Riyadi, Fajar; Ully, Parwati Wiwin Dyah; Avianto, Yovi
Jurnal Biologi Tropis Vol. 26 No. 2 (2026): April - Juni
Publisher : Biology Education Study Program, Faculty of Teacher Training and Education, University of Mataram, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbt.v26i2.11752

Abstract

Artificial lighting is a key factor in indoor vertical farming because light spectrum and photoperiod strongly regulate plant growth, biomass accumulation, and pigment formation. Lettuce is highly responsive to light manipulation, making it an important model crop for evaluating lighting strategies that can improve productivity and quality under controlled environments. This study evaluated the effects of LED light color and photoperiod on the growth, yield, and pigment content of lettuce (Lactuca sativa L.) cultivated in an indoor vertical farming system in Yogyakarta, Indonesia (November 2025 – January 2026). A 3 × 3 factorial experiment arranged in a nested design was conducted with three light colors (white, blue, and green) and three photoperiods (8, 12, and 16 h). Data were analyzed using ANOVA (α = 0.05), followed by Tukey's HSD when significant differences were detected. Growth and yield were assessed using stem diameter, plant height, number of leaves, leaf area, root length, fresh weight, and dry weight, while physiological responses were evaluated using chlorophyll a, chlorophyll b, and total chlorophyll. Significant light color × photoperiod interactions were observed for stem diameter, root length, fresh and dry weight, and chlorophyll contents. Overall, white light produced superior lettuce performance compared with blue and green light, particularly under a 16-h photoperiod. The combination of white light and a 16-h photoperiod resulted in the highest biomass accumulation and pigment content, indicating that optimizing both light spectrum and photoperiod is critical to improve lettuce productivity and quality in indoor vertical farming.