Analisis Kandungan Logam Berat Tembaga (Cu) pada Kepiting Bakau (Scylla sp.) di Sungai Wonorejo, Surabaya <br><i>[Analysis of Heavy Metal Copper (Cu) Content on Mud Crab (Scylla sp.) at Wonorejo River, Surabaya]<i>

Abstract

AbstrakPerairan Wonorejo merupakan salah satu daerah penghasil kepiting bakau di Surabaya. Namun perairan ini berpotensi mengalami pencemaran logam berat akibat aktivitas yang ada di daratan. Tembaga (Cu) merupakan salah satu jenis logam berat yang mencemari perairan Wonorejo dan jika dalam jumlah besar menyebabkan kerusakan hati organisme. Penelitian ini bertujuan untuk mengetahui konsentrasi logam berat tembaga pada kepiting bakau dan mengetahui keamanan pangan hasil tangkapan kepiting bakau di Sungai Wonorejo. Penelitian ini dilaksanakan pada bulan April 2018 dengan pengambilan sampel di tiga stasiun dengan waktu setiap minggu selama tiga kali. Analisis logam berat tembaga (Cu) pada kepiting bakau (Scylla sp.), air dan sedimen dilakukan di Laboratorium Gizi Fakultas Kesehatan Masyarakat Universitas Airlangga. Metode penelitian menggunakan metode observasi yang dilakukan di perairan dan tambak di Wonorejo Surabaya. Sampel daging kepiting bakau, air dan sedimen diuji menggunakan alat Atomic Absoption Spectrophotometry (AAS). Hasil kandungan kadar logam berat tembaga (Cu) pada kepiting bakau di Sungai Wonorejo pada stasiun 1 dan 2 yaitu 0,008 mg/kg dan pada stasiun 3 yaitu 0,002 mg/kg dimana nilai kadar ini masih berada di bawah ambang batas baku mutu logam berat Cu pada kepiting yaitu 20 mg/kg.AbstractWonorejo river as one area in Surabaya that has produce mud crab and potentially has heavy metal pollution caused by human activities. Copper (Cu) is on the heavy metals that pollute in the waters Wonorejo. Copper in large quantities can damage the liver. This research was conducted in April 2018 samples taken at three stations. Analysis of heavy metals copper (Cu) in samples of water, sediment, and meat of mud crab (Scylla sp.) is done in Laboratory Nutrition Department of Public Health, Universitas Airlangga. Other research methods of observation methods conducted in coastal areas and pond.Wonorejo Surabaya. Heavy metal testing of copper in samples of water, sediment, and meat of mud crab use Absorption Atomic Spectrophotometry (AAS). Results Cu content of heavy metal levels in the meat of mud crab in the Wonorejo river for site 1 and 2 was 0,008 mg/kg and for site 3 was 0,002 mg/kg. This shows the copper content in the meat of mud crab is under the allowable quality standards for copper of 20 mg/kg.

Stability Analysis of Prey-Predator Model Migration with Holling Type-III Response Function in The Presence of Competition and Toxicity

“…Author [2] stated that several heavy metals with varying levels of toxicity including Hg, Cd, Zn, Pb, Cr, Ni contaminate aquatic animals and humans. In the paper [3] it is stated that heavy metals in the Wonorejo River are thought to have a negative impact on crabs and aquatic biota because they can inhibit growth and even cause death.…”

“…E3S Web of Conferences 483, 03003 (2024) ISST 2023 https://doi.org/10.1051/e3sconf/202448303003Equilibrium points 𝑇 1 dan 𝑇 2 is the equilibrium point saddle unstable while the eigenvalues and the stability of the equilibrium point 𝑇 3 are described below. The associated Jacobian matrix at this equilibrium point is given by: equation associated with the Jacobian matrix that is: 𝑓(𝜆) = 𝜆3 + 1.391 𝜆 2 + 0.858 𝜆 + 0.313. With coefficient 𝐴 1 = 1.391, 𝐴 2 = 0.858, 𝐴 3 = 0.313, value 𝐴 1 𝐴 2 − 𝐴 3 > 0 Routh-Hurwitz stability criteria are met.…”

“…𝐴 1 𝑦11 + 𝐴 2 𝑦 10 + 𝐴 3 𝑦9 + 𝐴 4 𝑦 8 + 𝐴 5 𝑦 7 + 𝐴 6 𝑦 6 + 𝐴 7 𝑦5 + 𝐴 8 𝑦 4 + 𝐴 8 𝑦 3 𝑅 1 (𝑘 + 𝑆 1 )4 − 5𝑆𝑢(𝑘 + 𝑆 1 ) 4 𝜎 1 + 4𝑆𝑣 2 (𝑘 + 𝑆 1 ) 3 𝜎 2 + 2𝑣(𝑘 + 𝑆 1 ) 4 𝜎 1 𝜎 2 , 𝐴 4 = 2𝑅𝑣 3 (𝑘 + 𝑆 1 ) 3 𝑐 1 − 4𝑆𝑐𝛾𝑣 2 (𝑘 + 𝑆 1 ) 3 − 8𝑆𝑗𝑣 2 (𝑘 + 𝑆 1 ) 3 𝑐 1 + 6𝑆𝑢𝑣 3 (𝑘 + 𝑆 1 ) 2 𝑐 1 −8𝑆𝑣 2 𝑅 1 (𝑘 + 𝑆 1 ) 3 𝑐 1 − 2𝑐𝛾𝑣(𝑘 + 𝑆 1 ) 4 𝜎 1 − 4𝑗𝑣(𝑘 + 𝑆 1 ) 4 𝑐 1 𝜎 1 + 6𝑢𝑣 2 (𝑘 + 𝑆 1 ) 3 𝑐 𝜎 1 −2𝑣 4 (𝑘 + 𝑆 1 ) 2 𝑐 1 𝜎 2 − 4𝑣𝑅 1 (𝑘 + 𝑆 1 ) 4 𝑐 1 𝜎 1 + 10𝑅𝑆 2 𝑣(𝑘 + 𝑆 1 ) 3 + 5𝑅𝑆(𝑘 + 𝑆 1 ) 4 𝜎 1 −20𝑗𝑆 3 (𝑘 + 𝑆 1 ) 3 + 10𝑆 3 𝑢𝑣(𝑘 + 𝑆 1 ) 2 − 20𝑆 3 𝑅 1 (𝑘 + 𝑆 1 ) 3 + 10𝑆 2 𝑢(𝑘 + 𝑆 1 ) 3 𝜎 1 𝑘 + 𝑆 1 ) 3 𝑐 1 𝜎 1 + 6𝑆 2 𝑐𝛾𝑣 2 (𝑘 + 𝑆 1 ) 2 + 12𝑗𝑆 2 𝑣 2 (𝑘 + 𝑆 1 ) 2 𝑐 1 −6𝑢𝑆 2 𝑣 3 (𝑘 + 𝑆 1 )𝑐 1 + 12𝑆 2 𝑣 2 𝑅 1 (𝑘 + 𝑆 1 ) 2 𝑐 1 + 8𝑆𝑐𝛾𝑣(𝑘 + 𝑆 1 ) 3 𝜎 1 +16𝑆𝑗𝑣(𝑘 + 𝑆 1 )3 𝑐 1 𝜎 1 − 18𝑆𝑢𝑣 2 (𝑘 + 𝑆 1 ) 2 𝑐 1 𝜎 1 + 4𝑆𝑣 4 (𝑘 + 𝑆 1 )𝑐 1 𝜎 2…”