Biokonsentrasi Faktor Logam Berat Timbal (Pb) Dalam Kandungan Ikan di Daerah Pantai Tegal Katilayu Cilacap, Jawa Tengah
Bibliographic record
Abstract
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.041 | 0.018 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".