Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 270

The DOI matches its Crossref record.

A nitric acid plant tissue digest method for use with inductively coupled plasma spectrometry

Havlin, John L., Soltanpour, P. N.·1980·Communications in Soil Science and Plant Analysis

Abstract

A wet digestion method for plant tissue analysis for use with Inductively Coupled Plasma ‐ Atomic Emission Spectrometry has been developed. This procedure uses only nitric acid and eliminates the use of perchloric acid and subsequently eliminates the danger of HClO4. explosions, and the problem of KClO4 precipitation. Analysis of National Bureau of Standards plant materials ‐ orchard, tomato, and spinach leaves ‐ digested with nitric‐perchloric acid or nitric acid compared very well with the NBS certified values. The analytical results for eight other plant species were comparable for the two methods of digestion. A summary of the recommended procedure for use with ICP is given below: 1. Weigh 0.5 to 1.0 g of plant tissue into a 50 ml Taylor tube.2. Add 10 ml conc, nitric acid. Let stand overnight.3. Heat samples at 125° C for 4 hours. Let cool.4. Dilute to 12.5 ml with conc, nitric acid. Dilute to 50 ml with distilled water. Mix and let amorphous silica settle.5. Aspirate directly into plasma for ICP analysis of P, K, Cu, Mg, Na, Fe, Zn, Ca, Mn.

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 · 10.1080/00103628009367096

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 270

Metadata

Authors
Havlin, J. L., & Soltanpour, P. N.
Venue
Communications in Soil Science and Plant Analysis
Published
1980-01
Volume
11
Issue
10
Pages
969-980
ISSN
  • 0010-3624 (ISSN-L)
  • 1532-2416
OpenAlex
W1981072040
Cited by
270
References
0
FWCI
2.20
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: A nitric acid plant tissue digest method for use with inductively coupled plasma spectrometry. https://app.cochat.ai/papers/10.1080/00103628009367096
The paper
Havlin, J. L., & Soltanpour, P. N. (1980). A nitric acid plant tissue digest method for use with inductively coupled plasma spectrometry. Communications in Soil Science and Plant Analysis. https://doi.org/10.1080/00103628009367096

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.