Preparation and application of holocellulose, cellulose nanofibers, and silver-loaded cellulose nanofibers from passion fruit peel

Chen, Qiaoling; Ke, Guizhu; Hu, Yonghua; Peng, Fei; Wu, Jingxian

doi:10.1007/s10570-022-05025-3

Cited by 5 publications

(2 citation statements)

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“…This shows that the model is responsive to pectin’s unique wavelengths, making it suitable for hardness modeling. Previous research has found large amounts of cellulose in passion fruit peel, which can be extracted and used to make nanofiber materials [ 23 ]. According to research, the area of about 7142 cm −1 may be ascribed to cellulose hydrogen bonds and O-H stretching, and chosen bands occur in this region in Figure 6 [ 24 ].…”

Section: Resultsmentioning

confidence: 99%

Nondestructive Determination of Epicarp Hardness of Passion Fruit Using Near-Infrared Spectroscopy during Storage

Wang,

Fu,

et al. 2024

Foods

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The hardness of passion fruit is a critical feature to consider when determining maturity during post-harvest storage. The capacity of near-infrared diffuse reflectance spectroscopy (NIRS) for non-destructive detection of outer and inner hardness of passion fruit epicarp was investigated in this work. The passion fruits’ spectra were obtained using a near-infrared spectrometer with a wavelength range of 10,000–4000 cm−1. The hardness of passion fruit’s outer epicarp (F1) and inner epicarp (F2) was then measured using a texture analyzer. Moving average (MA) and mean-centering (MC) techniques were used to preprocess the collected spectral data. Competitive adaptive reweighted sampling (CARS), successive projection algorithm (SPA), and uninformative variable elimination (UVE) were used to pick feature wavelengths. Grid-search-optimized random forest (Grids-RF) models and genetic-algorithm-optimized support vector regression (GA-SVR) models were created as part of the modeling process. After MC preprocessing and CARS selection, MC-CARS-Grids-RF model with 7 feature wavelengths had the greatest prediction ability for F1. The mean square error of prediction set (RMSEP) was 0.166 gN. Similarly, following MA preprocessing, the MA-Grids-RF model displayed the greatest predictive performance for F2, with an RMSEP of 0.101 gN. When compared to models produced using the original spectra, the R2P for models formed after preprocessing and wavelength selection improved. The findings showed that near-infrared spectroscopy may predict the hardness of passion fruit epicarp, which can be used to identify quality during post-harvest storage.

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Section: Resultsmentioning

confidence: 99%

Nondestructive Determination of Epicarp Hardness of Passion Fruit Using Near-Infrared Spectroscopy during Storage

Wang,

Fu,

et al. 2024

Foods

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“…The maximum oxidation degree of cellulose reached 62.57% (7.78 mmol g −1 ), meaning that 62 out of 100 cellulose monomers could be oxidized, resulting in the production of 124 aldehyde groups. This is much higher than the highest oxidation degree of 4.694 mmol g −1 obtained by Chen using ZnCl 2 to catalyze the preparation of DAC, 42 which provides more reaction opportunities for L-glu grafting and other functional molecules. The amino acid determination results indicated that 1 g of cellulose hydrogel could be grafted with 62.2 mg of L-glu.…”

Section: Synthesis and Characterization Of Hydrogelsmentioning

confidence: 85%

Development of a Multifunctional Composite Hydrogel for Enhanced Wound Healing: Hemostasis, Sterilization, and Long-Term Moisturizing Properties

Dong,

Sun,

et al. 2024

ACS Appl. Mater. Interfaces

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Meeting the diverse requirements of effective wound repair while surpassing the single-function limitations of traditional wound dressings is a significant challenge. In this study, we successfully synthesized an inclusion complex of 2-hydroxypropyl-βcyclodextrin (HP-β-CD) and iodine using the saturated aqueous solution method. Additionally, dialdehyde cellulose (DAC) was extracted from fat-free cotton through oxidation. To enhance wound healing, L-glutamine (L-glu) was utilized as a functional molecule, resulting in composite hydrogels with hemostatic, sterilizing, and wound-healing-promoting properties that were achieved by adsorbing the resulting inclusion complex. Through TG and SEM analysis, we confirmed that iodine was effectively accommodated by cyclodextrin and was uniformly attached to the hydrogel. The hydrogel exhibits exceptional long-term moisturizing and bactericidal properties, while also demonstrating excellent swelling, oxygen permeability, hemolytic, and mechanical properties, fully satisfying the requirements of wound treatment. External coagulation tests revealed that the hydrogel can rapidly coagulate 4.5 times its own weight of blood. Moreover, in a full-thickness scald mouse model, the hydrogel effectively promotes wound healing. The development of this multifunctional composite hydrogel presents a novel approach to advance wound dressing research, holding substantial potential for practical applications.

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Development of cellulose-based self-healing hydrogel smart packaging for fish preservation and freshness indication

Wang,

Ma,

Wang

et al. 2024

Carbohydrate Polymers

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Preparation and application of holocellulose, cellulose nanofibers, and silver-loaded cellulose nanofibers from passion fruit peel

Cited by 5 publications

References 50 publications

Nondestructive Determination of Epicarp Hardness of Passion Fruit Using Near-Infrared Spectroscopy during Storage

Nondestructive Determination of Epicarp Hardness of Passion Fruit Using Near-Infrared Spectroscopy during Storage

Development of a Multifunctional Composite Hydrogel for Enhanced Wound Healing: Hemostasis, Sterilization, and Long-Term Moisturizing Properties

Development of cellulose-based self-healing hydrogel smart packaging for fish preservation and freshness indication

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