Physicochemical characteristic of corn starch nanoparticles obtained by acid hydrolysis method

Native corn starch often lacks the stability and functionality needed for modern formulations. Here, commercial corn starch was acid-hydrolyzed using 2.2 N HCl at 35 °C for 120 h to generate nano-enabled starch (CSNPs) and to probe how selective chain removal alters structure–property relationships. Relative to the untreated control (CS-Control), the hydrolyzed material showed consistently lower in amylose (14.78 → 13.61%), swelling power (17.86 → 16.58%), solubility (19.95 → 14.69%), moisture (10.95 → 8.91%), and protein/fat contents. These shifts indicate preferential cleavage of amorphous, less ordered regions, enabling residual chains to repack via stronger hydrogen bonding. FTIR spectra retained the characteristic starch bands without evidence of new chemistry; a slightly more bonded O–H region and a sharper 1150– 900 cm-1 fingerprint supported increased order and reduced amorphous content. Morphology evolved from smooth granules to etched, rounded particles with surface debris (SEM), while TEM revealed tens-to- hundreds-of-nanometers fragments that readily aggregate—consistent with DLS detecting sub-micron to micron-scale populations. Overall, acid hydrolysis yielded a more ordered, nano-enabled starch while highlighting an important practical point: nanoparticles are created, but without an added dispersion step they remain partially aggregated. These insights can guide post-processing (when discrete nanoscale behavior is required.

Authors

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2026-02-26
DOI
https://doi.org/10.1051/bioconf/202622401003/pdf
Primary Topic
Food composition and properties
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Physicochemical characteristic of corn starch nanoparticles obtained by acid hydrolysis method

Nanang Masruchin, Bambang Admadi Harsojuwono, Ardhinata Antares, Ni Luh Yulianti et al.
Springer Link (Chiba Institute of Technology)
Food composition and properties
article

Physicochemical characteristic of corn starch nanoparticles obtained by acid hydrolysis method

Nanang Masruchin, Bambang Admadi Harsojuwono, Ardhinata Antares, Ni Luh Yulianti, Mohamad Nurul Azman Mohammad Taib, Luh Putu Wrasiati, I Wayan Arnata, I Wayan Rai Widarta
article en

Abstract

Native corn starch often lacks the stability and functionality needed for modern formulations. Here, commercial corn starch was acid-hydrolyzed using 2.2 N HCl at 35 °C for 120 h to generate nano-enabled starch (CSNPs) and to probe how selective chain removal alters structure–property relationships. Relative to the untreated control (CS-Control), the hydrolyzed material showed consistently lower in amylose (14.78 → 13.61%), swelling power (17.86 → 16.58%), solubility (19.95 → 14.69%), moisture (10.95 → 8.91%), and protein/fat contents. These shifts indicate preferential cleavage of amorphous, less ordered regions, enabling residual chains to repack via stronger hydrogen bonding. FTIR spectra retained the characteristic starch bands without evidence of new chemistry; a slightly more bonded O–H region and a sharper 1150– 900 cm-1 fingerprint supported increased order and reduced amorphous content. Morphology evolved from smooth granules to etched, rounded particles with surface debris (SEM), while TEM revealed tens-to- hundreds-of-nanometers fragments that readily aggregate—consistent with DLS detecting sub-micron to micron-scale populations. Overall, acid hydrolysis yielded a more ordered, nano-enabled starch while highlighting an important practical point: nanoparticles are created, but without an added dispersion step they remain partially aggregated. These insights can guide post-processing (when discrete nanoscale behavior is required.

Springer Link (Chiba Institute of Technology)
Openalex Percentile: Top 36%
Food composition and properties
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.