Edible bird's nest (EBN) is a functional food renowned for its numerous health benefits. While its nutritional and therapeutic value is well-documented, the metabolites contributing to the bioactivities of EBN remain poorly understood. This study aimed to identify the metabolites present in EBN subjected to different treatments, including double-boiled EBN (EBNdb), EBN hydrolysate (EBNhydro), EBN fermented with Lactobacillus helveticus (EBNLH), Latilactobacillus curvatus (EBNLC), and Latilactobacillus sakei (EBNLS) using liquid chromatography-mass spectrometry (LC-MS) and correlate the identified bioactive metabolites with the bioactivities of EBN. It was found that the fermented EBNs exhibited the highest number of metabolites, with 76 tentatively identified, followed by EBNhydro (45) and EBNdb (37). Citric acid (1.97-4.48 g/kg) was present in all treated EBN samples, while L(+)-lactic acid (3.03-8.07 g/kg) and adipic acid (2.33-3.18 g/kg) were only found in fermented EBNs. Among the treated EBN samples, EBNLC demonstrated the significantly highest (p ≤ 0.05) antioxidative (22.34 ± 0.41 % 1,1-diphenyl-2-picrylhydrazil radical scavenging activity), antihypertensive (5.46 ± 0.26 % angiotensin-converting enzyme inhibitory activity), and antihyperglycemic activities (6.48 ± 0.34 % α-amylase inhibitory activity). A total of 18 metabolites, including citric acid, 4-sphingenin, N-acetylcitrulline, 4-aminophenol, L(+)-lactic acid, 2-oxoadipate, sildenafil, formylglycinamidin-RP, 11β,17α,21-α-5β-pregnane-3,20-dione, 2-ketobutyric acid, homoserine, benzaldehyde, 1-pyrroline4-hydroxy-2-carboxylate, nortriptyline, 1-methylguanine, 3-hydroxy-trimethyllysine, 3-phenylpropionate, and reserphine were predicted as bioactive metabolites using the partial least squares discriminant analysis (PLS-DA). This study provides valuable insights into the metabolites present in EBN and serves as fundamental data for future investigations into the bioactive compounds responsible for its specific health benefits, potentially leading to the development of enhanced EBN-based functional foods.
Fuding white tea, particularly premium silver needle, is a high-value Geographical Indication product increasingly vulnerable to cross-regional mislabeling, substitution, and blending. This study developed a dual-modal ultraviolet-visible diffuse reflectance and near-infrared spectroscopic strategy combined with chemometrics for hierarchical authentication. At the macro-geographical level, optimized UV-Vis and NIR PLS-DA models achieved accuracies of 100% and 97.54%, respectively, and correctly classified external Fujian and Yunnan samples. At the town scale within Fuding city, UV-Vis outperformed NIR in predictive ability (Q2 = 0.70 vs. 0.37), indicating greater sensitivity to subtle local origin variation. Earlier-year Panxi samples were also correctly assigned, suggesting preliminary temporal transferability for town-scale authentication. Colorimetric analysis showed limited visual separability between authentic Fuding and non-Fuding silver needle samples, whereas spectroscopic models correctly identified all blended samples. Variable importance in projection analysis revealed complementary contributions from UV-Vis chromophore-related features and NIR matrix-related information, while low-level UV-Vis-NIR fusion further improved blending detection.