Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 203

The DOI matches its Crossref record.

Stability of Monoterpenes Encapsulated in Gum Arabic by Spray-Drying

Bertolini, A. C., Siani, A. C., Grosso, C. R. F.·2001·Journal of Agricultural and Food Chemistry

Abstract

Microencapsulation using spray-drying was tested with gum arabic and monoterpenes as wall and core materials, respectively. Citral, linalool, beta-myrcene, limonene, and beta-pinene were used at concentrations of 10, 20, and 30% with respect to the wall material. The greatest percentages of retention occurred at a concentration of 10%. Linalool and citral presented the greatest losses with increase in concentration. The hydrocarbons used were the most retained. Of the hydrocarbons, beta-pinene was better retained in the capsules than limonene, and beta-myrcene was the least retained of all. The capsules presented similar external morphologies, with no apparent cracks or porosity and an average size varying between 15.7 and 23.2 microm. The stability of the capsules to temperature was monitored for 33 days. The degradation products of the monoterpenes were evaluated. The results indicated a greater stability of the capsules containing beta-pinene and citral than of those containing linalool and beta-myrcene presenting the lowest retentions.

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 · 10.1021/jf000436y

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 203

Metadata

Authors
Bertolini, A. C., Siani, A. C., & Grosso, C. R. F.
Venue
Journal of Agricultural and Food Chemistry
Published
2001-01-09
Volume
49
Issue
2
Pages
780-785
ISSN
  • 0021-8561 (ISSN-L)
  • 1520-5118
OpenAlex
W2033276319
Cited by
203
References
0
FWCI
2.89
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: Stability of Monoterpenes Encapsulated in Gum Arabic by Spray-Drying. https://app.cochat.ai/papers/10.1021/jf000436y
The paper
Bertolini, A. C., Siani, A. C., & Grosso, C. R. F. (2001). Stability of Monoterpenes Encapsulated in Gum Arabic by Spray-Drying. Journal of Agricultural and Food Chemistry. https://doi.org/10.1021/jf000436y

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.