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Record W4400828504 · doi:10.24252/higiene.v10i1.44341

Biokonsentrasi Faktor Logam Berat Timbal (Pb) Dalam Kandungan Ikan di Daerah Pantai Tegal Katilayu Cilacap, Jawa Tengah

2024· article· en· W4400828504 on OpenAlexaff
Nurlinda Ayu, Oto Prasadi, Ilma Fadlilah

Bibliographic record

VenueHigiene: Jurnal Kesehatan Lingkungan · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine and Coastal Ecosystems
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsPhysicsChemistryNuclear chemistry

Abstract

fetched live from OpenAlex

Around 143,000 people die every year in developing countries due to exposure to the heavy metal lead (Pb). This, combined with increased heavy metal pollution as a result of increasing industry. Lead can enter the bodies of living creatures through food, drink, air, or through the skin. Fossil fuels, cats, pesticides, soil, toys, car batteries and other sources produce lead. Iron (Fe), Manganese (Mn), Zinc (Zn), Cadmium (Cd), Chromium (Cr), Copper (Cu), Lead (Pb), Nickel (Ni), and Mercury (Hg) are pollutant elements heavy metals originating from industry. These heavy metals can be harmful to human health depending on which part of the body they are most bound to. To determine the bioconcentration factor (BCF) of the heavy metal lead (Pb) in the consumption of fish originating from fishing grounds in Tegal Katilayu Cilacap sea waters. Analysis of lead (Pb) levels in sea water and the bodies of tuna, mackerel and tuna was carried out using the Atomic Absorption Spectrophotometry (AAS) instrument at the Jendral Soedirman University Laboratory. Meanwhile, sea air pH measurements were carried out directly while still at the Tegalkatilayu Cilacap waters. The sea air pH obtained was still neutral, namely 7.43 and was still in the range (6.5 -8.0). Based on the results of heavy metal tests using Atomic Absorption Spectrophotometry (AAS) of Tegalkatilayu sea air, a concentration of 0.236 ppm was obtained, which has passed the maximum quality standard of 0.05 ppm. Meanwhile, test results for the heavy metal lead (Pb) in the body of tuna were 2,291 ppm, tuna 2,892 ppm, and mackerel 0,716 ppm. The degree of acidity (pH) in Tegalkatilayu waters is still within the range (6.5 – 8.0), namely an average pH of 7.34. The lead (Pb) content in sea water was found to be an average of 0.236 ppm, according to the Decree of the Minister of Environment of the Republic of Indonesia No. 51 of 2004 concerning sea water quality standards for port waters has exceeded the maximum limit of 0.05 ppm. Meanwhile, the lead (Pb) content in the body of tuna is 2.291 ppm, tuna is 2.892 ppm, and mackerel is 0.716 ppm. This has resulted in marine air pollution and accumulation of the heavy metal lead (Pb) in fish bodies. The bioconcentration of heavy metal factors contained in the fish's body was found to be <100, which is still in the low category. There needs to be regular monitoring regarding the maximum fish consumption limit for humans per week which has accumulated heavy metals based on body weight, age and gender. Thus, it can reduce the accumulation of the heavy metal lead (Pb) in the human body. Keywords: pH of sea water, bioconcentration of heavy metal factors.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.738
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.224
Teacher spread0.216 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2024
Admission routes1
Has abstractyes

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