Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 659

The DOI matches its Crossref record.

Removal of Antibiotics from Surface and Distilled Water in Conventional Water Treatment Processes

Adams, C., Wang, Y., Loftin, K., Meyer, M.·2002·Journal of Environmental Engineering
DOI 10.1061/(asce)0733-9372(2002)128:3(253

Abstract

Conventional drinking water treatment processes were evaluated under typical water treatment plant conditions to determine their effectiveness in the removal of seven common antibiotics: carbadox, sulfachlorpyridazine, sulfadimethoxine, sulfamerazine, sulfamethazine, sulfathiazole, and trimethoprim. Experiments were conducted using synthetic solutions prepared by spiking both distilled/deionized water and Missouri River water with the studied compounds. Sorption on Calgon WPH powdered activated carbon, reverse osmosis, and oxidation with chlorine and ozone under typical plant conditions were all shown to be effective in removing the studied antibiotics. Conversely, coagulation/flocculation/sedimentation with alum and iron salts, excess lime/soda ash softening, ultraviolet irradiation at disinfection dosages, and ion exchange were all relatively ineffective methods of antibiotic removal. This study shows that the studied antibiotics could be effectively removed using processes already in use in many water treatment plants. Additional work is needed on by-product formation and the removal of other classes of antibiotics.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1061/(asce)0733-9372(2002)128:3(253)

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 659

Metadata

Authors
Adams, C., Wang, Y., Loftin, K., & Meyer, M.
Venue
Journal of Environmental Engineering
Published
2002-03
Volume
128
Issue
3
Pages
253-260
ISSN
  • 0733-9372 (ISSN-L)
  • 1943-7870
DOI
10.1061/(asce)0733-9372(2002)128:3(253
OpenAlex
W2112629990
Cited by
659
References
0
FWCI
10.20
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Removal of Antibiotics from Surface and Distilled Water in Conventional Water Treatment Processes. https://app.cochat.ai/papers/10.1061/(asce)0733-9372(2002)128:3(253
The paper
Adams, C., Wang, Y., Loftin, K., & Meyer, M. (2002). Removal of Antibiotics from Surface and Distilled Water in Conventional Water Treatment Processes. Journal of Environmental Engineering. https://doi.org/10.1061/(asce)0733-9372(2002)128%3A3(253

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.