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Record W7071251447

Surveillance of Heavy Metals Using Atomic Absorption Spectroscopy in the Lagoon La Escondida in Reynosa City, Mexico

2006· article· en· W7071251447 on OpenAlexaboutno aff

Bibliographic record

VenueOpenSIUC (Southern Illinois University Carbondale) · 2006
Typearticle
Languageen
FieldEnvironmental Science
TopicHeavy metals in environment
Canadian institutionsnot available
Fundersnot available
KeywordsLimitingNucleofectionFilter (signal processing)Liquation
DOInot available

Abstract

fetched live from OpenAlex

The concentration of heavy metals such: Arsenic (As), Lead (Pb), Cadmium (Cd), Mercury (Hg) and Chromium (Cr) was determined in water and sludge of the lagoon La Escondida in Reynosa city on the northeastern part of Mexico by the border with USA. The detection limits by Atomic Absorption Spectroscopy (DL, μg mL-1 ) were 0.05 for As; 0.10 for Pb; 0.10 for Cd; 0.05 for Hg; and 0.30 for Cr in water. The detection limits (DL, μg g-1 ) were 1.0 for As; 10.0 for Pb; 2.0 for Cd; 0.02 for Hg; and 6.0 for Cr in sludge. The objective of this work was to know the levels of these contaminants in this lagoon, since it is surrounded by a highly populated area of the city, besides it is considered as a natural protected resource, in which migratory birds coming from Canada and North America in the winter stop, rest and nest for some time. Nine samples of water and seven samples of sludge from different points, evenly distributed at the lagoon were taken and analyzed; the sampling places were chose according to the currents, influents and effluents of this body of water. The levels of these contaminates were found to be under the detection limits, except for mercury in a single sampling place, which come to be 0.23 μg mL-1 in a sludge sample. This is indicative of water contamination for heavy metals which requires further studies to establish the source and impact of this contamination.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.108
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.011
GPT teacher head0.216
Teacher spread0.204 · 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; a candidate call from one teacher head, not a consensus.

Study designObservational
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

Citations0
Published2006
Admission routes1
Has abstractyes

Explore more

Same venueOpenSIUC (Southern Illinois University Carbondale)Same topicHeavy metals in environmentFrench-language works237,207