Journal SINTA 1
Penilaian Risiko Semikuantitatif Logam Berat pada Ikan Salmon di Jabodetabek: Semi-Quantitative Risk Assessment of Heavy Metals in Salmon Distributed in Jabodetabek
Jurnal Pengolahan Hasil Perikanan Indonesia · Vol. 25 No. 2 (2022) · pp. 244–252
- ISSN
- 2354-886X, 2303-2111
- Published
- 2022-08-08
- Publisher
- Department of Aquatic Product Technology IPB University in collaboration with Masyarakat Pengolahan Hasil Perikanan Indonesia (MPHPI)
- Language
- ind
Abstract
Indonesian
Impor ikan salmon terus meningkat, sedangkan di beberapa perairan negara asal ikan salmon terdapat indikasi potensi bahaya pencemaran logam berat. Fenomena ini meningkatkan kesadaran tentang keamanan pangan konsumsi ikan salmon, oleh karena itu penilaian risiko sangat penting untuk dilakukan. Tujuan dari penelitian ini adalah untuk menentukan kandungan Hg, Pb, dan Cd pada daging ikan salmon serta mengkaji risiko logam berat pada konsumsi ikan salmon di wilayah Jabodetabek. Ikan salmon sebanyak 132 ekor diambil secara acak dari Pelabuhan Tanjung Priok, analisis logam berat menggunakan instrumen Flameless Inductively Coupled Plasma Mass Spectrometry, penilaian resiko berdasarkan metode United States Environmental Protection Agency dan risk ranger berdasarkan Ross dan Sumner, didukung oleh literature study dan kuesioner. Kandungan logam berat Hg, Pb, dan Cd pada ikan salmon yang terdeteksi masing-masing sebesar 0,0646±0,0056, 0,00505±0,0446, dan 0,0119±0,0006 ppm menunjukkan masih berada di bawah ambang batas yang ditetapkan oleh Badan Pengawas Obat dan Makanan Republik Indonesia (0,5; 0,2; dan 0,1 ppm). Hasil penilaian risiko semi-kuantitatif untuk Hg, Pb, dan Cd adalah 0,0567; 0,0013; dan 0,0010 (kurang dari 1) yang menyiratkan bahwa konsumsi ikan salmon tidak memiliki potensi risiko bahaya. Bagaimanapun logam berat terakumulasi dalam tubuh manusia, oleh karena itu analisis konsumsi makanan perlu dilakukan. Risk ranger menunjukkan bahwa estimasi peringkat risiko logam berat berada pada kategori sedang. Berdasarkan hasil penelitian, dapat disimpulkan bahwa salmon yang diimpor dan dikonsumsi oleh warga Jabodetabek masih relatif aman.
English
Salmon imports continue to rise, while there were indications in some waters of the salmon's origin country that is a potential danger of heavy metals contamination. This phenomenon raises awareness regarding the food safety of salmon consumption, therefore a risk assessment is crucial to be conducted. The purposes of this study were to determine the content of Hg, Pb, and Cd in salmon meat and to assess the risk of heavy metals in salmon consumption in Jabodetabek area. Salmon fish, 132 in total was randomly taken from Tanjung Priok Port, the heavy metal analysis used the Flameless Inductively Coupled Plasma Mass Spectrometry instrument, risk assessment based on the United States Environmental Protection Agency method and risk ranger based on Ross and Sumner, supported by systematic literature review and questionnaires. The heavy metals Hg, Pb, and Cd in salmon were detected at 0.0646±0.0056, 0.0505±0.0446, and 0.0119±0.0006 ppm, respectively, indicating that there were still below the thresholds set by Food and Drug Supervisory Agency of the Republic of Indonesia (0.5;0.2;and 0.1 ppm). The results of the semi-quantitative risk assessment for Hg, Pb, and Cd were 0.0567, 0.0013, and 0.0010 (less than 1) implying that salmon consumption have no a potential risk of hazard. However heavy metals are accumulated in human body, hence, the diet consumption analysis needed to be performed. The risk ranger showed that the estimated risk ranking of heavy metals was in the medium category. Based on the results, it can be concluded that imported and consumed salmon by Jabodetabek residents was still relatively safe.
Keywords
Collaboration network of the authors
40 authors · 166 co-authorship links · 7 across different organisations · showing the 40 most connected
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- IPB University
- Bandung Institute of Technology
- Universitas Sulawesi Tenggara
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Kustiariyah Tarman | IPB University | 16 |
| Bambang Riyanto | Bandung Institute of Technology | 12 |
| Tati Nurhayati | Affiliation unknown | 7 |
| Joko Santoso | Affiliation unknown | 6 |
| Safrina Dyah Hardiningtyas | IPB University | 6 |
| Uju Uju | Affiliation unknown | 5 |
| Desniar Desniar | Affiliation unknown | 5 |
| Wahyu Ramadhan | Affiliation unknown | 5 |
| MEGA SAFITHRI | Affiliation unknown | 4 |
| Bustami Ibrahim | Affiliation unknown | 4 |
| Sugeng Heri Suseno | IPB University | 4 |
| Fahri Sinulingga | Affiliation unknown | 3 |
| . Uju | Affiliation unknown | 3 |
| Joko Santoso | IPB University | 2 |
| Farel Widiarsyah | IPB University | 2 |
| Silva Fauziah | Affiliation unknown | 2 |
| Nurjanah | Affiliation unknown | 2 |
| Desniar | Affiliation unknown | 2 |
| Woro Hastuti Satyantini | Affiliation unknown | 2 |
| dita aguistina barus | Affiliation unknown | 2 |
| Mala Nurilmala | Affiliation unknown | 2 |
| Apon Zaenal Mustopa | Affiliation unknown | 2 |
| Meydia Meydia | Affiliation unknown | 2 |
| Cahyuning Isnaini | IPB University | 2 |
| Zacky Arivaie Santosa | IPB University | 2 |
| Ella Salamah | Affiliation unknown | 2 |
| Tri Wahyuningsih | Affiliation unknown | 1 |
| Devi Faustine | Affiliation unknown | 1 |
| Deny Tri Prastyo | Affiliation unknown | 1 |
| Hari Cahyono | Affiliation unknown | 1 |
| Wa Ode Nur Asma La Dia Nur | Affiliation unknown | 1 |
| Rizfi Faris Pari | Affiliation unknown | 1 |
| Khusnul Aini | Affiliation unknown | 1 |
| Aula Sakinah | Affiliation unknown | 1 |
| Nurmaida Nurmaida | Universitas Sulawesi Tenggara | 1 |
| Rahmadiana Utami | Affiliation unknown | 1 |
| Ike Marta Fransiska | Affiliation unknown | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.