Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 512

The DOI matches its Crossref record.

Microwave and ultrasonic processing: Now a realistic option for industry

Open access
Leonelli, Cristina, Mason, Timothy J.·2010·Chemical Engineering and Processing: Process Intensification

Abstract

Environmentally friendlier preparations of chemical compounds and organic or inorganic materials are generally accompanied by the concept of saving resources by optimizing reaction conditions and/or introducing new process technologies. The use of ionic liquids and a solvent-free approach are among these technologies, but in terms of the minimisation of energy and optimization of reaction control both microwave and ultrasound irradiation have now proved to be real options. This review starts from the basic considerations on the separate interaction of microwaves and ultrasound with matter and goes on to explore some laboratory and industrial applications of each type of activation. It is also possible to enhance the effects of high frequency electromagnetic fields, typical of microwaves, or the cavitational energy associated with sonochemistry by combining them with other extreme conditions such as plasmas, high pressure and UV. Finally the simultaneous use of microwaves and ultrasound in a single reactor is described. This novel mixing of technologies has been implemented in order to combine the effects of enhanced energy with improved matter transportation.

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 · 10.1016/j.cep.2010.05.006

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 512

Metadata

Authors
Leonelli, C., & Mason, T. J.
Venue
Chemical Engineering and Processing: Process Intensification
Publisher
Elsevier BV
Published
2010-09
Volume
49
Issue
9
Pages
885-900
ISSN
0255-2701 (ISSN-L)
OpenAlex
W2001410680
Cited by
512
References
0
FWCI
14.21
Type
journal article
Language
en
Open access
green

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: Microwave and ultrasonic processing: Now a realistic option for industry. https://app.cochat.ai/papers/10.1016/j.cep.2010.05.006
The paper
Leonelli, C., & Mason, T. J. (2010). Microwave and ultrasonic processing: Now a realistic option for industry. Chemical Engineering and Processing: Process Intensification. https://doi.org/10.1016/j.cep.2010.05.006

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.