IDENTIFIKASI LIMBAH PALM OIL MILL EFFLUENT (POME) MENGGUNAKAN BIOSENSOR BERBASIS ALGA

Authors

  • Dina Maryani Universitas Riau
  • Lazuardi Umar Universitas Riau

DOI:

https://doi.org/10.22437/jop.v7i1.14387

Keywords:

Biosensor, Palm Oil Mill Effluent, Alga, Oksigen Terlarut

Abstract

Palm Oil Mill Effluent (POME) merupakan limbah minyak kelapa sawit yang memiliki kadar Chemical Oxygen Demand (COD) dan Biochemical Oxygen Demand (BOD) yang tinggi dan sehingga merusak ekosistem periairan serta menurunkan kadar oksigen terlarut (DO). Namun, POME memiliki nutrisi untuk sel alga dalam memproduksi oksigen. Berdasarkan hal tersebut diperlukan identifikasi POME yang jatuh kebadan air berdasarkan fotosintesis Chlorella sp. menggunakan biosensor. Biosensor telah banyak dikembangkan dalam aplikasi bidang lingkungan dengan melihat kadar oksigen terlarut sebagai kualitas perairan. Penelitian ini menggunakan biosensor dengan prinsip sensor amperometris  tipe Biochip-G. Sensor amperometris mengukur perubahan arus dari reaksi reduksi dan oksidasi dan menghasilkan potensial keluaran yang terukur. Potensial keluaran yang terukur merupakan kadar oksigen terlarut dari penambahan POME terhadap Chlorella sp. ketika proses fotosintesis terjadi. Identifikasi POME berdasarkan proses fotosintesis Chlorella sp. menggunakan cahaya artifisial LED Putih 380 nm-780 nm dengan tingkat variasi konsentrasi POME sebanyak 10%, 20%, dan 30%. Berdasarkan pengukuran kadar oksigen terlarut (DO) menghasilkan nilai DO sebesar 174.15%, 154.66%, dan 138.98% serta nilai sensitivitas sebesar 4mV/%POME.

 

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Published

2021-11-02

How to Cite

Maryani, D., & Umar, L. (2021). IDENTIFIKASI LIMBAH PALM OIL MILL EFFLUENT (POME) MENGGUNAKAN BIOSENSOR BERBASIS ALGA. JOURNAL ONLINE OF PHYSICS, 7(1), 1-6. https://doi.org/10.22437/jop.v7i1.14387