Food Bioscience, Journal Year: 2024, Volume and Issue: unknown, P. 105611 - 105611
Published: Dec. 1, 2024
Language: Английский
Food Bioscience, Journal Year: 2024, Volume and Issue: unknown, P. 105611 - 105611
Published: Dec. 1, 2024
Language: Английский
Food Hydrocolloids, Journal Year: 2024, Volume and Issue: 158, P. 110605 - 110605
Published: Sept. 3, 2024
Language: Английский
Citations
11Carbohydrate Polymers, Journal Year: 2024, Volume and Issue: 345, P. 122572 - 122572
Published: Aug. 3, 2024
Language: Английский
Citations
8Food Hydrocolloids, Journal Year: 2024, Volume and Issue: unknown, P. 110696 - 110696
Published: Oct. 1, 2024
Language: Английский
Citations
8International Journal of Biological Macromolecules, Journal Year: 2025, Volume and Issue: unknown, P. 140375 - 140375
Published: Jan. 1, 2025
Language: Английский
Citations
1International Journal of Biological Macromolecules, Journal Year: 2024, Volume and Issue: unknown, P. 136907 - 136907
Published: Oct. 1, 2024
Language: Английский
Citations
5Carbohydrate Polymer Technologies and Applications, Journal Year: 2024, Volume and Issue: 7, P. 100486 - 100486
Published: March 15, 2024
In the current work, encapsulation of Lactobacillus reuteri (LR) by double-layer extrusion was investigated. The microencapsulated (bead) wall prepared with sodium alginate and tomato seed mucilage (TSM) in different concentrations (0.2, 0.4, 0.6, 0.8%) as a first second layer, respectively. efficiency (EE), survival at 72°C, cold storage were assessed beads. viscosity, acidity, pH, survivability LR simulated gastrointestinal condition (GI), time measured ketchup sauce. results showed that EE 91.54% for 0.8% sample. heat stress conditions, MLR higher rate (52.8%) than FLR (not detected after 4 min). Following 28th day storage, sample (54.08%) remained (42.37%). sauce, rates 57.37 51.61% FLR, GI simulating condition, final samples 54.93% 48.26%, had more significant value viscosity (72864 mPa·s−1), acidity (4 g.100g−1) but pH equal among samples. Therefore, applying TSM can protect from harsh environmental conditions
Language: Английский
Citations
4Advances in food and nutrition research, Journal Year: 2024, Volume and Issue: unknown, P. 215 - 259
Published: Jan. 1, 2024
Language: Английский
Citations
4ACS Nano, Journal Year: 2024, Volume and Issue: unknown
Published: Sept. 16, 2024
Increasing accumulation of nanoplastics across ecosystems poses a significant threat to both terrestrial and aquatic life. Surface-enhanced Raman scattering (SERS) is an emerging technique used for detection. However, the identification classification using SERS faces challenges regarding sensitivity accuracy as are sparsely dispersed in environment. Metal-phenolic networks (MPNs) have potential rapidly concentrate separate various types sizes nanoplastics. combined with machine learning may improve prediction accuracy. Herein, we report integration MPNs-mediated separation learning-aided methods accurate high-precision quantification nanoplastics, which tailored include complete region characteristic peaks diverse contrast traditional manual analysis spectra on singular peak. Our customized system (e.g., outlier detection, classification, quantification) allows detectable (accuracy 81.84%), > 97%), sensitive (polystyrene (PS), poly(methyl methacrylate) (PMMA), polyethylene (PE), poly(lactic acid) (PLA)) down ultralow concentrations (0.1 ppm) well 92%) nanoplastic mixtures at subppm level. The effectiveness this approach substantiated by its ability discern between different detect samples natural water systems.
Language: Английский
Citations
4International Journal of Biological Macromolecules, Journal Year: 2025, Volume and Issue: unknown, P. 140446 - 140446
Published: Jan. 1, 2025
Language: Английский
Citations
0Journal of Agricultural and Food Chemistry, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 2, 2025
Microplastics have emerged as significant pollutants in terrestrial and marine ecosystems, with their accumulation posing a threat to human health through biomagnification along the food chain. Developing rapid, on-site, sensitive method for detecting microplastics agri-food environmental systems is important assessing minimizing potential risks. In this study, we developed novel surface-enhanced Raman spectroscopy (SERS) technique ultrasensitive detection of microplastics. Our innovative incorporated Zr4+-assisted SERS label strategies, utilizing rhodamine B reporter improve analysis. By approaches, can achieve qualitative quantification 10 μm polystyrene (PSMPs) at concentrations low 0.1 ppm limit 1 ppb. Furthermore, approach allows real-world scenarios, recovery rates exceeding 90% microplastic ranging from 5 30 tap water systems. When integrated portable spectrometer, showcases accurate, has great analyzing various types
Language: Английский
Citations
0