Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 254

The DOI matches its Crossref record.

Predicting Compost Stability

Hue, N.V., Liu, J.·1995·Compost Science & Utilization

Abstract

Sixteen composts consisting of 14 commercial samples, one immature yard waste compost and one raw material of mostly grass clippings were evaluated for their stability. In a three-day incubation test, the commercial composts yielded from 9 to 99 mg CO2/kg/ hr, with a mean CO2 production rate of 61 mg CO2/kg/hr. By contrast, the immature compost produced 684 mg CO2/kg/hr and the raw material, 1,433. The low CO2 production rates of the commercial composts along with dark brown color and lack of unpleasant odors in moist conditions indicated that these composts were indeed stable. We devised a quick chemical test to predict compost stability. Several compost properties were measured: (i) total (C, N and C:N), (ii) water-soluble (C, N and C:N), (iii) NaOH-soluble C, humic and fulvic acids, and optical absorbances at 465 nm (E4) and 665 nm (E6) of the NaOH-soluble fractions. Water-soluble fraction, particularly water-soluble C and the C:N ratio, best separated stable from unfinished composts. However, water-soluble organic N in some stable composts was less than 0.01 g/kg, making measurement difficult. Thus, alternatively a ratio of water-soluble C:total organic N ≤0.70, based on Mean (0.32) + 2*SD (0.19), is suggested as a predictor of compost stability. Also, compost stability can be predicted by NaOH-soluble C:water-soluble C ≥6.0, but not by (humic acid:fulvic acid) or (E4:E6) of any NaOH-soluble fractions.

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 · 10.1080/1065657x.1995.10701777

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 254

Metadata

Authors
Hue, N. V., & Liu, J.
Venue
Compost Science & Utilization
Published
1995-03
Volume
3
Issue
2
Pages
8-15
ISSN
  • 1065-657X (ISSN-L)
  • 2326-2397
OpenAlex
W2127365339
Cited by
254
References
0
FWCI
5.80
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: Predicting Compost Stability. https://app.cochat.ai/papers/10.1080/1065657x.1995.10701777
The paper
Hue, N. V., & Liu, J. (1995). Predicting Compost Stability. Compost Science & Utilization. https://doi.org/10.1080/1065657x.1995.10701777

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.