2018
DOI: 10.1016/j.foodres.2018.03.078
|View full text |Cite
|
Sign up to set email alerts
|

Characterization of edible bird's nest of different production, species and geographical origins using nutritional composition, physicochemical properties and antioxidant activities

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

3
46
1
3

Year Published

2018
2018
2024
2024

Publication Types

Select...
5
2

Relationship

1
6

Authors

Journals

citations
Cited by 57 publications
(53 citation statements)
references
References 43 publications
3
46
1
3
Order By: Relevance
“…However, EBN coP also contained N-acetylneuraminic acid, which was about half that of EBN clean , indicating that the co-products that were usually discarded also contained considerable high amounts of N-acetylneuraminic acid. The N-acetylneuraminic acid was reported to be about 72-136 g kg −1 in EBN by Quek et al, 23 signifying that the EBN under study has high N-acetylneuraminic acid content.…”
Section: Discussionmentioning
confidence: 84%
See 1 more Smart Citation
“…However, EBN coP also contained N-acetylneuraminic acid, which was about half that of EBN clean , indicating that the co-products that were usually discarded also contained considerable high amounts of N-acetylneuraminic acid. The N-acetylneuraminic acid was reported to be about 72-136 g kg −1 in EBN by Quek et al, 23 signifying that the EBN under study has high N-acetylneuraminic acid content.…”
Section: Discussionmentioning
confidence: 84%
“…However, the hue values of the sample were from 83.89°± 0.19°to 89.44°± 0.56°, implying that the samples appeared to be a warmer yellow colour according to the colour wheel indication of hue angle (H°). Similarly, Quek et al 23 reported that the hue angle of EBN samples collected from Malaysia was 77.05°to 87.79°, which implied that EBN could be characterized to be pale to deep yellowish. The hue value for both EBN clean and EBNh clean was significantly higher (P ≤ 0.05) than that of EBN coP.…”
Section: Soluble Protein Contentmentioning
confidence: 89%
“…et al, 2020). Recent studies have found that EBN can potentiate mitogenic responses, increase the lifespan, protect neurons, promote bone mineralization, increase bone density, inhibit influenza virus, enhance the antioxidant capacity, alleviate inflammation, promote B cell proliferation and activation and reduce intestinal immune injury (Roh et al, 2012;Yew et al, 2014;Hu et al, 2016;Zhao et al, 2016;Quek et al, 2018;Hou et al, 2019). Moreover, EBN restores the immune system in the context of infection by influencing viruses through regulation of pro-inflammatory cytokines, such as IL-6 and TNF-α, and cytokines with regulatory properties, such as IL-10 and CCL2, which are also involved in the progression of UC (Haghani et al, 2016;Lee et al, 2018).…”
Section: Discussionmentioning
confidence: 99%
“…[1] Recently, the classification and identification of specific compounds in food have also led to the identification of its origin and authentication studies. [2][3][4][5] Knowing the origin of food is important for quality control, food traceability. It ensures consumer protection and fair competition in the food industry against fraudulent substitution and adulteration practices.…”
Section: Introductionmentioning
confidence: 99%
“…Physicochemical, proximate, elemental, fatty acids, triacylglycerol, sialic acid, saccharides, peptides, and amino acids have been used previously to classify EBN following its colorations, regions, production sites, and harvesting seasons, [16][17][18][19][20][21] but no report on EBN species origin except for recent study by Quek et al [4] For a holistic representation of the characteristics and properties of EBN, various important parameters and properties of EBN including the physicochemical properties, proximate content, antioxidant activities, elemental compounds, amino acids, nitrite, nitrate, and sialic acid often result in a very large sampling size, a very large dataset which is challenging for analysis and interpretation. The conventional univariate data analysis is inadequate in handling large dataset with highly complex food composition.…”
Section: Introductionmentioning
confidence: 99%