Evidence map›Paper›PMID 42040398›Full record

ArticleACS omega2026

Statistical Investigation and Optimization of Starch Cinnamylation: A Design of Experiment Approach.

Luca Leuzzi, Laura Cipolla

Abstract read
In one paragraph

Article in ACS omega, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Luca LeuzziDepartment of Biotechnology and Biosciences, University of Milano-Bicocca, Piazza della Scienza 2 20126, Milan,Italy.ORCID https://orcid.org/0009-0008-9706-8226
Laura CipollaDepartment of Biotechnology and Biosciences, University of Milano-Bicocca, Piazza della Scienza 2 20126, Milan,Italy.ORCID https://orcid.org/0000-0003-2678-8329

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The investigation and optimization of the cinnamylated starch degree of substitution (DS) in basic media were carried out using a statistical approach based on the design of experiment (DoE) approach. An initial screening phase, conducted through a full factorial design, highlighted the following as the most critical parameters affecting the DS: (i) the base amount, (ii) the nature of the alkyl halide, (iii) the addition mode to the reaction mixture, and (iv) the equivalents used. The efficacy of different bases promoting the alkylation reaction was also studied, comparing sodium hydroxide, sodium alkoxides, and the dimsyl ion. Overall, the screening phase identified cinnamyl chloride and a sodium hydroxide DMSO dispersion as the optimal starting points for the optimization phase. The resulting model proved to be a robust tool for identifying optimal reaction conditions to achieve a high DS. The DoE statistical studies provided valuable insights into the mechanistic aspects and the complexity of the reaction system, extending beyond starch functionalization. These findings represent a significant advancement in the synthesis of starch-based materials, particularly for applications in the development of UV radiation-sensitive compounds, since they hold considerable potential across various industrial sectors.

Identifiers

PMID42040398
PMCPMC13103797

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.