Seasonal heavy metals accumulation in the soft tissue of &lt;i&gt;Anadara granosa&lt;/i&gt; mollusc form Tanjung Balai, Indonesia

Januar, Hedi Indra; Dwiyitno, Dwiyitno; Hidayah, Izhamil; Hermana, Irma

doi:10.3934/environsci.2019.5.356

Cited by 14 publications

(7 citation statements)

References 32 publications

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“…There are many scientific studies proving the efficiency of linear methods for heavy metal-sensing and interdependency determination [ 50 , 51 , 52 , 53 , 54 ]. Thus, some authors used various analytical methods in their study [ 50 ], including stepwise multi-linear regression and partial least squares regression to model metal content level in soil and vegetation.…”

Section: Resultsmentioning

confidence: 99%

“…Some researches [ 54 ] use linear stepwise regression models for investigating a problem of food safety determined by the bivalve mollusks of Anadara granosa , as dangerous metals in the environment may accumulate in their soft tissue. His research aimed to analyze the seasonal pattern (Indonesian east, intermediate, and west monsoon season) of heavy metals (Cr, Co, As, Cd, Hg, and Pb) accumulation factor in the soft tissue.…”

Section: Resultsmentioning

confidence: 99%

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A Machine Learning Approach in Analyzing Bioaccumulation of Heavy Metals in Turbot Tissues

Petrea

Costache²,

Moga

et al. 2020

Molecules

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Metals are considered to be one of the most hazardous substances due to their potential for accumulation, magnification, persistence, and wide distribution in water, sediments, and aquatic organisms. Demersal fish species, such as turbot (Psetta maxima maeotica), are accepted by the scientific communities as suitable bioindicators of heavy metal pollution in the aquatic environment. The present study uses a machine learning approach, which is based on multiple linear and non-linear models, in order to effectively estimate the concentrations of heavy metals in both turbot muscle and liver tissues. For multiple linear regression (MLR) models, the stepwise method was used, while non-linear models were developed by applying random forest (RF) algorithm. The models were based on data that were provided from scientific literature, attributed to 11 heavy metals (As, Ca, Cd, Cu, Fe, K, Mg, Mn, Na, Ni, Zn) from both muscle and liver tissues of turbot exemplars. Significant MLR models were recorded for Ca, Fe, Mg, and Na in muscle tissue and K, Cu, Zn, and Na in turbot liver tissue. The non-linear tree-based RF prediction models (over 70% prediction accuracy) were identified for As, Cd, Cu, K, Mg, and Zn in muscle tissue and As, Ca, Cd, Mg, and Fe in turbot liver tissue. Both machine learning MLR and non-linear tree-based RF prediction models were identified to be suitable for predicting the heavy metal concentration from both turbot muscle and liver tissues. The models can be used for improving the knowledge and economic efficiency of linked heavy metals food safety and environment pollution studies.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

A Machine Learning Approach in Analyzing Bioaccumulation of Heavy Metals in Turbot Tissues

Petrea

Costache²,

Moga

et al. 2020

Molecules

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“…Lebih lanjut nilai BCF didapat dari perbandingan antara konsentrasi polutan pada lapisan tubuh organisme dan konsentrasi bahan kimia pada lingkungan tempat tereksposnya organisme tersebut. Faktor biokonsentrasi pada kerang hijau dianalisis dengan menghitung rasio antara kandungan logam berat pada daging kerang hijau terhadap kandungan logam berat terlarut pada air laut (bio water accumulation factor) dan logam berat terendapkan pada sedimen (bio sediment accumulation factor) di lokasi penelitian (Januar et al, 2019). Faktor biokonsentrasi dapat diketahui menggunakan rumus sebagai berikut (EPA 2003 Berdasarkan nilai BCF tersebut, organisme perairan diklasifikasikan menjadi 3 kelompok (Dallinger, 1993).…”

Section: Faktor Biokonsentrasiunclassified

Amankah Mengkonsumsi Kerang Hijau Perna viridis L nnaeus, 1758 (Bivalvia: Mytilidae) yang ditangkap di Perairan Morosari Demak?

2021

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Kerang hijau (Perna viridis) merupakan komoditas perikanan yang sering dikonsumsi sebagai bahan pangan. Sampel yang diambil berasal dari perairan Morosari Demak pada bulan Juni, Juli dan Agustus 2020. Tujuan dari penelitian ini untuk menduga kandungan logam berat Pb dan Cu yang terdapat pada air, sedimen dan kerang hijau serta menentukan batas toleransi untuk mengkonsumsi kerang hijau yang mengandung logam berat. Penelitian ini bertujuan juga untuk menentukan Faktor biokonsentrasi (BCF) yang merupakan nilai akumulasi bahan kimia (polutan) dalam tubuh kerang. Penelitian ini menggunakan metode deskriptif, sedangkan metode penentuan lokasi menggunakan metode purposive sampling. Materi yang digunakan dalam penelitian ini adalah sampel kerang hijau, air dan sedimen. Parameter lingkungan seperti suhu, salinitas, oksigen terlarut, kecerahan, pH diukur secara in situ. Hasil penelitian menunjukkan nilai kandungan logam berat dalam daging kerang hijau berkisar 0,140-0,617 mg/kg (Pb) dan 0,035-0,851 mg/kg (Cu). Kandungan Pb dan Cu pada kerang hijau di semua stasiun dan bulan pengambilan sampel masih berada di bawah ambang batas yang ditetapkan oleh Badan Standardisasi Nasional (2009) untuk logam berat Pb sebesar 1,5 mg/kg dan FAO (1972) untuk logam berat Cu sebesar 1 mg/kg. Kemampuan kerang hijau dalam mengakumulasi logam berat Pb dan Cu pada setiap bulan bervariasi, sebagian besar memiliki kemampuan akumulasi organisme rendah dengan nilai FBK < 1, sebagian memiliki kemampuan akumulasi organisme sedang dengan nilai FBK >1 dan ≤2 dan beberapa memiliki kemampuan akumulasi organisme tinggi dengan nlai FBK >2. Analisis batas aman konsumsi kerang hijau yang tercemar logam berat pada lokasi penilitian menunjukan kerang hijau masih aman dikonsumsi hingga 2,43 kg/minggu pada orang dewasa dengan berat badan rata-rata 60 kg Green mussels, Perna viridis is a fishery commodity that is often consumed as a food. The purpose of this study is to evaluate the concentration of pb and cu heavy metals contained in water, sediment and green mussels. The sample was collected in Morosari coastal waters Demak in June, July and August 2020 and determine the tolerance limit for consuming green mussels containing heavy metals. This research aims to determine the bioconcentration factor (BCF) which is the value of accumulation of chemicals (pollutants) in the body of shellfish. Samples of green mussels were taken from three stations which are ponds of green mussels belonging to Morosari fishermen. This study uses descriptive method, while location determination method using purposive sampling method. The materials used in this study were samples of green mussels, water and sediment. Environmental parameters such as temperature, salinity, dissolved oxygen, brightness, pH are measured in situ. The results showed the value of heavy metals in green shellfish ranging from 0.140-0.617 mg/kg (Pb) and 0.035-0.851 mg/kg (Cu). The content of Pb and Cu in green mussels in all stations and months of sampling is still below the threshold set by the National Standardization Body (2009) for pb heavy metals of 1.5 mg/kg and FAO (1972) for Cu heavy metals of 1 mg/kg. The ability of green shells in accumulating heavy metals Pb and Cu on a monthly vary, most have low organism accumulation ability with BCF value < 1, some have the ability to accumulate medium organisms with BCF values >1 and ≤2 and some have high organism accumulation ability with BCF >2. Analysis of the safe limit of consumption of green mussels contaminated with heavy metals at the research site showed green mussels were still safe to consume up to 2.43 kg/week in adults with an average body weight of 60 kg.

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“…Bioaccumulation Factor (BAF) pada kerang hijau dianalisis dengan menghitung rasio antara kandungan logam berat pada daging kerang hijau terhadap kandungan logam berat terlarut pada air laut (bio water accumulation factor), dan logam berat terendapkan pada sedimen (bio sediment accumulation factor) pada lokasi budidaya (Januar, Dwiyitno, Hidayah, & Hermana, 2019;Ziyaadini, Yousefiyanpour, Ghasemzadeh, & Zahedi, 2016;Szefer et al, 1999). Berdasarkan nilai bio sediment accumulation factor (BSAF), organisme perairan diklasifikasikan menjadi 3 kelompok (Dallinger, 1993), yaitu :…”

Section: Penentuan Faktor Bioakumulasi Dan Batasan Aman (Safety Levelunclassified

Kontaminasi Logam Berat (HG, PB, dan CD) dan Batas Aman Konsumsi Kerang Hijau (Perna virdis) dari Perairan Teluk Jakarta di Musim Penghujan

Barokah

Dwiyitno

Nugroho

2019

JPBKP

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ABSTRAKCemaran logam berat dapat terakumulasi pada air laut, sedimen dan biota laut yang hidup di dalamnya. Biota laut seperti kerang hijau (Perna viridis) yang tercemar logam berat melebihi ambang batas yang diijinkan akan membahayakan kesehatan apabila dikonsumsi oleh manusia. Penelitian ini bertujuan untuk mengetahui kandungan logam berat pada air, sedimen dan kerang hijau (P. viridis) di Teluk Jakarta. Pengambilan sampel dilakukan pada tiga sentra lokasi budidaya kerang hijau di Teluk Jakarta yaitu Cilincing, Kalibaru dan Kamal Muara pada musim penghujan bulan Oktober 2016. Hasil penelitian menunjukkan kandungan logam berat pada air laut di lokasi Cilincing, yaitu Pb 0,368 mg/L; Cd 0,007 mg/L; dan Hg 0,072 mg/L dan di lokasi Kalibaru, yaitu Pb 0,422 mg/L; Cd 0,005 mg/L; dan Hg 0,045 mg/L, sudah melebihi ambang batas yang ditetapkan oleh Kepmen LH No.51/2004. Kandungan Hg pada sedimen perairan di lokasi Cilincing (0,85 mg/kg), Kalibaru (0,77 mg/kg) dan Kamal Muara (0,86 mg/kg) sudah melebihi ambang batas yang ditetapkan oleh W AC 173-204-320. Namun demikian, kandungan Hg, Cd dan Pb pada kerang hijau budidaya di semua lokasi pengambilan sampel masih berada di bawah ambang batas yang ditetapkan oleh Peraturan Kepala BPOM No 8 Tahun 2018. Analisis batas aman konsumsi kerang hijau yang tercemar logam berat yang dilakukan pada penelitian ini menunjukkan bahwa kerang hijau baik di lokasi Cilincing, Kalibaru dan Kamal Muara masih aman dikonsumsi hingga 1 kg/minggu pada orang dewasa dengan berat badan rata-rata 60 kg. KATA KUNCI : batas aman konsumsi, logam berat, Perna viridis, Teluk Jakarta ABSTRACT Contamination of heavy metals can be accumulated in marine water, sediment and organisms.Marine organisms such as green mussels (Perna viridis) that were contaminated by heavy metals could be harmful to human health. This research aimed to determine heavy metals concentration in marine water, sediment and green mussels (P. viridis) at Jakarta Bay. Sampling was conducted at three aquaculture stations i.e. Cilincing, Kalibaru and Kamal Muara in rainy season in October 2016. The study showed that concentrations of Pb, Cd and Hg in marine water from Cilincing (0.368 mg/L of Pb; 0.007 mg/L of Cd; and 0.072 mg/L of Hg) and Kalibaru (0.422 mg/L of Pb; 0.005 mg/L of Cd; and 0.045 mg/L of Hg) were exceeded the standard quality criteria as regulated by Decree of the Minister of Environment No. 51/2004. The concentration of Hg in marine sediment from all of the sampling stations, i.e. Cilincing (0.85 mg/kg), Kalibaru (0.77 mg/kg) and Kamal Muara (0.86 mg/kg) have exceeded the safety limit as regulated by . However, the concentration of Hg, Cd and Pb in green mussels (P. viridis) from all of the sampling stations were still below the safety level set by the Regulation of Director Indonesia National Agency of Drug and Food Control No. 5, 2018. The tolerable weekly intake consumption that was calculated in this study showed that green mussels from Cilincing, Kalibaru and Kamal Muara aquaculture areas can be consumed up to 1 kg/week f...

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Seasonal heavy metals accumulation in the soft tissue of <i>Anadara granosa</i> mollusc form Tanjung Balai, Indonesia

Cited by 14 publications

References 32 publications

A Machine Learning Approach in Analyzing Bioaccumulation of Heavy Metals in Turbot Tissues

A Machine Learning Approach in Analyzing Bioaccumulation of Heavy Metals in Turbot Tissues

Amankah Mengkonsumsi Kerang Hijau Perna viridis L nnaeus, 1758 (Bivalvia: Mytilidae) yang ditangkap di Perairan Morosari Demak?

Kontaminasi Logam Berat (HG, PB, dan CD) dan Batas Aman Konsumsi Kerang Hijau (Perna virdis) dari Perairan Teluk Jakarta di Musim Penghujan

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