We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
Karakterisasi Mikroplastik Dari Sedimen Padang Lamun, Pulau Panjang, Jepara, Dengan Ft-ir Infra Red
Summary
Researchers identified microplastics in seagrass bed sediments at Panjang Island, Indonesia, using infrared spectroscopy to characterize the types present. The study confirms that microplastic pollution has reached this coastal ecosystem, which provides important habitat for marine life.
Ekosistem lamun Pulau Panjang memiliki fungsi ekologis bagi biota sekitarnya. Mikroplastik dapat tersimpan di sedimen untuk jangka waktu yang lama karena sifatnya yang sulit terurai. Penelitian ini bertujuan untuk mengetahui keberadaan mikroplastik pada sedimen lamun di Pulau Panjang. Penelitian ini dilaksanakan pada bulan Mei 2019 di Pulau Panjang, Jepara. Metode yang digunakan dalam penelitian ini adalah metode survei. Teknik pengambilan sampel menggunakan metode random sampling, dibagi menjadi 2 jenis sampel yaitu 7 sampel inti dan 3 sampel tambahan (untuk uji FT-IR). Analisis dilakukan untuk mengetahui keterkaitan antara jumlah mikroplastik yang didapatkan dengan kerapatan lamun. Berdasarkan hasil penelitian, dapat disimpulkan bahwa jumlah total mikroplastik yang didapatkan sebanyak 93 partikel dengan bentuk fragmen, film, fiber, dan pelet. Jumlah tertinggi terdapat pada titik 7 dengan jumlah 19 partikel. Bentuk mikroplastik dominan yang ditemukan yaitu fragmen sebanyak 51 partikel (54,83%), kemudian bentuk lain seperti fiber 34 partikel (36,56%) dan film sebanyak 8 partikel (8,6%). Jenis lamun yang ditemukan yaitu Cymodocea rotundata, Cymodocea serrulata, dan Enhalus acoroides. Kerapatan lamun di Pulau Panjang titik 1-7 tergolong tinggi, kecuali pada titik 5 yang memiliki kerapatan lamun sedang. Analisa statistika yang dilakukan yaitu uji One Way ANOVA dengan nilai signifikansi 0,008 (
Sign in to start a discussion.
More Papers Like This
Analisis Mikroplastik Pada Air Dan Sedimen Di Pantai Teluk Lampung Dengan Metode Ft-Ir (Fourier Transform Infrared)
Microplastics were analyzed in water and sediment samples from a beach in Lampung Bay, Indonesia, using Fourier Transform Infrared spectroscopy for polymer identification. Multiple polymer types were detected, with polyethylene and polypropylene among the most common. The study documents microplastic pollution in an Indonesian coastal area and establishes baseline data for future monitoring.
Microplastic Analysis at Sea Water and Sediment in the Mahitam Island Lampung Bay using FT-IR
A study at Mahitam Island in Lampung Bay, Indonesia, identified microplastics in both seawater and sediment samples using Fourier-transform infrared spectroscopy. Fibers and fragments were the most common types found, indicating that plastic pollution has reached this coastal area.
Analysis of Microplastic at Sea Water and Sediment in the Pasaran Island Bay Using FT-IR
Researchers analysed microplastic particle counts, morphologies, and polymer types in seawater and sediment samples collected from four stations around Pasaran Island Bay using FT-IR spectroscopy. Extraction protocols used 70% ethanol, hydrogen peroxide, and sodium chloride for seawater samples and FeSO4, NaCl, and H2O2 for sediments, characterising the nature and extent of microplastic pollution at this Indonesian marine site.
The applicability of reflectance micro-Fourier-transform infrared spectroscopy for the detection of synthetic microplastics in marine sediments
Researchers developed and validated an optimized micro-FT-IR spectroscopy protocol for detecting microplastics in coastal marine sediments, providing a detailed operating procedure. The standardized method improves detection reliability and enables comparison of results across laboratories studying sediment microplastic contamination.
Plastic debris in the Mediterranean Sea: Types, occurrence and distribution along Adriatic shorelines
Researchers investigated plastic debris in sediments from five beaches on the Northern Adriatic coast, finding a mean density of 12.1 items per kg dry weight and characterising debris types using FT-IR spectroscopy in the first such assessment for this region.