Effect of solutes and matrix structure on water mobility in glycerol-agar-water gel systems: a nuclear magnetic resonance approach.

J Agric Food Chem

CSIRO Food and Nutritional Sciences, North Ryde, NSW 2113, Australia.

Published: April 2011

Nuclear magnetic resonance spectroscopy (NMR) has been widely used to determine water molecular mobility in food systems. This study aimed to examine the effects of matrix structure and solutes on the dynamics of water molecules in model mixed systems, glycerol-agar-water gels, using low- and high-resolution NMR. Simple models to explain water relaxation rates and self-diffusion coefficients in mixed systems were developed using the experimental values obtained for the individual binary systems (glycerol-water solutions and agar-water gels). The spin-lattice relaxation of mixed systems was influenced by interactions of both glycerol and agar with water, while the spin-spin relaxation of mixed systems was dominated by the interaction of agar with water. Water diffusion was influenced by not only molecular interactions between all components but also the gel matrix structure. These models are able to differentiate the effect of solutes from that of matrix structure on water molecular dynamics.

Download full-text PDF

Source
http://dx.doi.org/10.1021/jf104856xDOI Listing

Publication Analysis

Top Keywords

matrix structure
16
mixed systems
16
solutes matrix
8
water
8
structure water
8
nuclear magnetic
8
magnetic resonance
8
water molecular
8
relaxation mixed
8
agar water
8

Similar Publications

Structural design usually adopts uniform temperature action. However, during the actual construction of the structure, the temperature field acting on the structure is inhomogeneous. Therefore, the simulation of the construction of statically indeterminate steel structures considering only the uniform temperature field cannot truly reflect the temperature action after structural molding and the evolution of the stress performance of the temporary stress system of structural construction.

View Article and Find Full Text PDF

Stochastic Filtering of the Attitude Quaternion.

Sensors (Basel)

December 2024

Mechanical Engineering Department, Ben-Gurion University of the Negev, Beer Sheva 84105, Israel.

Several stochastic H∞ filters for estimating the attitude of a rigid body from line-of-sight measurements and rate gyro readings are developed. The measurements are corrupted by white noise with unknown variances. Our approach consists of estimating the quaternion while attenuating the transmission gain from the unknown variances and initial errors to the current estimation error.

View Article and Find Full Text PDF

Although approaches for the online surface detection of automotive pipelines exist, low defect area rates, small-sample and long-tailed data, and the difficulty of detection due to the variable morphology of defects are three major problems faced when using such methods. In order to solve these problems, this study combines traditional visual detection methods and deep neural network technology to propose a transfer learning multi-channel fusion decision network without significantly increasing the number of network layers or the structural complexity. Each channel of the network is designed according to the characteristics of different types of defects.

View Article and Find Full Text PDF

Diabetes is a growing global health crisis that requires effective therapeutic strategies to optimize treatment outcomes. This study aims to address this challenge by developing and characterizing extended-release polymeric matrix tablets containing metformin hydrochloride (M-HCl), a first-line treatment for type 2 diabetes, and honokiol (HNK), a bioactive compound with potential therapeutic benefits. The objective is to enhance glycemic control and overall therapeutic outcomes through an innovative dual-drug delivery system.

View Article and Find Full Text PDF

Advances in Research of Hydrogel Microneedle-Based Delivery Systems for Disease Treatment.

Pharmaceutics

December 2024

National Engineering Research Center for Biomaterials, College of Biomedical Engineering, Sichuan University, Chengdu 610065, China.

Microneedles (MNs), composed of multiple micron-scale needle-like structures attached to a base, offer a minimally invasive approach for transdermal drug delivery by penetrating the stratum corneum and delivering therapeutic agents directly to the epidermis or dermis. Hydrogel microneedles (HMNs) stand out among various MN types due to their excellent biocompatibility, high drug-loading capacity, and tunable drug-release properties. This review systematically examines the matrix materials and fabrication methods of HMN systems, highlighting advancements in natural and synthetic polymers, and explores their applications in treating conditions such as wound healing, hair loss, cardiovascular diseases, and cancer.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!