Optimization of zein electrospun nanofibers for nisin delivery: A promising bacteriocin template for active packaging applications

This study aimed to evaluate how electrospinning parameters influence zein mean fiber diameter (MFD) and functionality with nisin incorporation, using Face Centered Composite Design (FCCD) and Response Surface Methodology (RSM) to assess four independent variables at three levels: zein concentration ( 225–265 g/L), applied voltage (10–30 kV), flow rate (1.0–4.0 mL/h), and tip-to-collector distance (10–20 cm). Model significance, accuracy, and predictive capability were confirmed by ANOVA, R 2 , adjusted R 2 , and predicted R 2 . Nisin-loaded fibers were also analyzed for tensile properties, hydrophobicity, and bioactivity. Zein concentration had the strongest effect on MFD (P < 0.0001), while voltage, flow rate, and tip-to-collector distance also showed significant influences (P < 0.05). Optimal conditions were 236 g/L zein, 10.1 kV voltage, 1.66 mL/h flow rate, and 19.88 cm tip-to-collector distance. Nisin release was slower at pH 6.3 than 3.8. Zein nanofibers containing 10 g nisin per kg zein showed antimicrobial activity against L. monocytogenes (12.22 mm inhibition zone) and 38.2% DPPH radical scavenging. Overall, electrospun zein fibers showed antimicrobial, antioxidant, and sustained-release properties for active food packaging. • Zein concentration was the main factor affecting nanofiber diameter. • Nisin-loaded fibers showed antimicrobial and antioxidant functions. • Sustained release and biodegradability support food packaging use.

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Publication Details

Journal
LWT
Published
2026-01-07
DOI
https://doi.org/10.1016/j.lwt.2026.119007
Primary Topic
Electrospun Nanofibers in Biomedical Applications
Type
article
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article

Optimization of zein electrospun nanofibers for nisin delivery: A promising bacteriocin template for active packaging applications

Behrouz Ghorani, Javad Aliakbarlu, Abdollah Jamshidi, Jebrail Movaffagh et al.
LWT
Electrospun Nanofibers in Biomedical Applications
article

Optimization of zein electrospun nanofibers for nisin delivery: A promising bacteriocin template for active packaging applications

Behrouz Ghorani, Javad Aliakbarlu, Abdollah Jamshidi, Jebrail Movaffagh, Behrooz Fathi, Mohieddin Kazemi
article en

Abstract

This study aimed to evaluate how electrospinning parameters influence zein mean fiber diameter (MFD) and functionality with nisin incorporation, using Face Centered Composite Design (FCCD) and Response Surface Methodology (RSM) to assess four independent variables at three levels: zein concentration ( 225–265 g/L), applied voltage (10–30 kV), flow rate (1.0–4.0 mL/h), and tip-to-collector distance (10–20 cm). Model significance, accuracy, and predictive capability were confirmed by ANOVA, R 2 , adjusted R 2 , and predicted R 2 . Nisin-loaded fibers were also analyzed for tensile properties, hydrophobicity, and bioactivity. Zein concentration had the strongest effect on MFD (P < 0.0001), while voltage, flow rate, and tip-to-collector distance also showed significant influences (P < 0.05). Optimal conditions were 236 g/L zein, 10.1 kV voltage, 1.66 mL/h flow rate, and 19.88 cm tip-to-collector distance. Nisin release was slower at pH 6.3 than 3.8. Zein nanofibers containing 10 g nisin per kg zein showed antimicrobial activity against L. monocytogenes (12.22 mm inhibition zone) and 38.2% DPPH radical scavenging. Overall, electrospun zein fibers showed antimicrobial, antioxidant, and sustained-release properties for active food packaging. • Zein concentration was the main factor affecting nanofiber diameter. • Nisin-loaded fibers showed antimicrobial and antioxidant functions. • Sustained release and biodegradability support food packaging use.

LWTVol. 241
Mashhad University of Medical Sciences (IR), Urmia University (IR), Ferdowsi University of Mashhad (IR)
Openalex Percentile: Top 95%
Electrospun Nanofibers in Biomedical Applications
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Optimization of zein electrospun nanofibers for nisin delivery: A promising bacteriocin template for active packaging applications — Behrouz Ghorani, Javad Aliakbarlu, et al. · LWT (2026) | TGRS Research Map | TGRS