Design and Optimization of AgNP‐Reinforced Nanocomposite Biopolymer Films for Intelligent Detection of TVB‐N in Seafood Quality Assessment

ABSTRACT This study aimed to develop, optimize, and characterize intelligent indicator films based on starch and carboxymethyl cellulose incorporated with silver nanoparticles and red cabbage anthocyanin for monitoring seafood freshness. Response surface methodology identified that formulation with 1.35 mg of AgNP and 30% RCE achieved the optimal balance of mechanical, barrier, and antioxidant properties, as determined through significant (p ≤ 0.0001) linear, quadratic, and two‐factor interactions with a high model fit ( R 2 = 0.98–0.99). The optimum formulation predicted by desirability analysis revealed that incorporating 1.35 mg of AgNP enhanced tensile strength (TS) by 23.31% while reducing elongation at break and water vapor permeability (WVP) by 25.21% and 18%, respectively. Conversely, the addition of 30% RCE increased total phenolic content (TPC) by 14.60 mg GAE/g and antioxidant activity by 65%, though it reduced transparency by 27% and increased water solubility by 33%. Films containing AgNP showed a 30% slower degradation rate. These intelligent films were successfully used to monitor seafood spoilage, with visible color changes corresponding to freshness based on total volatile basic nitrogen (TVB‐N) concentrations and pH levels. The findings highlight the potential of AgNP and RCE‐based biopolymer films to extend the shelf life of perishable foods while providing real‐time indicators of spoilage.

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Publication Details

Journal
Starch - Stärke
Published
2026-05-01
DOI
https://doi.org/10.1002/star.70220
Primary Topic
Nanocomposite Films for Food Packaging
Type
article
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article

Design and Optimization of AgNP‐Reinforced Nanocomposite Biopolymer Films for Intelligent Detection of TVB‐N in Seafood Quality Assessment

Tahira Mohsin Ali, Shaikh Mohiuddin, Hafiza Mehwish Iqbal, Saqib Arif et al.
Starch - Stärke
Nanocomposite Films for Food Packaging
article

Design and Optimization of AgNP‐Reinforced Nanocomposite Biopolymer Films for Intelligent Detection of TVB‐N in Seafood Quality Assessment

Tahira Mohsin Ali, Shaikh Mohiuddin, Hafiza Mehwish Iqbal, Saqib Arif, A. M. Khan, Qurrat‐ul‐Ain Akbar, Salman Khurshid, Nimra Arshad, Khalid Ahmed, Saba Iqbal, Jawairia Azeem
article en

Abstract

ABSTRACT This study aimed to develop, optimize, and characterize intelligent indicator films based on starch and carboxymethyl cellulose incorporated with silver nanoparticles and red cabbage anthocyanin for monitoring seafood freshness. Response surface methodology identified that formulation with 1.35 mg of AgNP and 30% RCE achieved the optimal balance of mechanical, barrier, and antioxidant properties, as determined through significant (p ≤ 0.0001) linear, quadratic, and two‐factor interactions with a high model fit ( R 2 = 0.98–0.99). The optimum formulation predicted by desirability analysis revealed that incorporating 1.35 mg of AgNP enhanced tensile strength (TS) by 23.31% while reducing elongation at break and water vapor permeability (WVP) by 25.21% and 18%, respectively. Conversely, the addition of 30% RCE increased total phenolic content (TPC) by 14.60 mg GAE/g and antioxidant activity by 65%, though it reduced transparency by 27% and increased water solubility by 33%. Films containing AgNP showed a 30% slower degradation rate. These intelligent films were successfully used to monitor seafood spoilage, with visible color changes corresponding to freshness based on total volatile basic nitrogen (TVB‐N) concentrations and pH levels. The findings highlight the potential of AgNP and RCE‐based biopolymer films to extend the shelf life of perishable foods while providing real‐time indicators of spoilage.

Starch - StärkeVol. 78(5)
NED University of Engineering and Technology (PK), University of Karachi (PK), Pakistan Agricultural Research Council (PK), International Center for Chemical and Biological Sciences (PK)
Life below water
Openalex Percentile: Top 10%
Nanocomposite Films for Food Packaging
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