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Profile of metals Fe in lay ecosystem using ICP-OES in Donggala District, Indonesia

Research on the profile of Fe in the seagrass ecosystem has been carried out. Analysis of seawater, sediment, seagrass samples from the association of mangroves, mangroves-coral reefs and coral reefs taken in the waters of Donggala Regency was carried out using the ICP-OES method (Inductively Coupled Plasma-Opticaly Emission Spectrometry). | Profile of metals Fe in lay ecosystem using ICP-OES in Donggala District Indonesia Current Chemistry Letters 9 2020 113 120 Contents lists available at GrowingScience Current Chemistry Letters homepage www.GrowingScience.com Profile of metals Fe in lay ecosystem using ICP-OES in Donggala District Indonesia Tahrila Paulina Tabab Nursiah La Nafieb and Alfian Noorb a Chemistry Department Tadulako University Soekarno-Hatta Street KM. 9 Tondo Mantikulore Palu Indonesia b Chemistry Department Hasanuddin University Perintis Kemerdekaan Street Km 10 Tamalanrea Makassar 90245 Indonesia CHRONICLE ABSTRACT Article history Research on the profile of Fe in the seagrass ecosystem has been carried out. Analysis of Received August 4 2019 seawater sediment seagrass samples from the association of mangroves mangroves-coral Received in revised form reefs and coral reefs taken in the waters of Donggala Regency was carried out using the ICP- October 30 2019 OES method Inductively Coupled Plasma-Opticaly Emission Spectrometry . It turns out that Accepted November 9 2019 seagrasses associated with mangroves have higher iron concentration in their ecosystem both Available online in waters sediments and in seagrass plants and will be lower in association with mangroves November 9 2019 and their association with coral reefs. Likewise the status of seagrass has a higher Keywords concentration of Fe than infertile status or poor status. The results become some reference to Seagrass Association show that seagrass plants can be bio-indicators of marine waters fertility. Fe ICP-OES Ecosystem 2020 Growing Science Ltd. All rights reserved. 1. Introduction During this time heavy metal content data in waters often does not reflect the actual level of pollution and danger in living things therefore monitoring the level of heavy metal pollution in the waters needs to be supported by monitoring of organisms life and sediment. Monitoring on living organisms known as bioindicators namely the use of .