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Chemical Heterogeneity Assessment of Authentic Edible Bird's Nests Using Multimodal FTIR Spectroscopy: A Foundation
Dung Manh Ho1, Agnieszka M Banas2, Krzysztof Banas2
1Center for Nuclear Technologies (CNT-VINATOM), 217 Nguyen Trai Street, Cau Ong Lanh Ward, Ho Chi Minh City 71014, Vietnam.
Authentic Edible Bird's Nest (EBN) shows significant natural chemical variation, challenging quality control. Understanding this heterogeneity is key to developing reliable methods for detecting adulteration.
Area of Science:
- Food Science
- Analytical Chemistry
- Biochemistry
Background:
- Edible Bird's Nest (EBN) is a valuable food product susceptible to economic adulteration.
- Effective quality assurance for EBN is hindered by a lack of understanding of its natural chemical variability.
- Factors like origin, bird species, and processing influence EBN's chemical composition, complicating standardization.
Purpose of the Study:
- To characterize the microscale chemical heterogeneity within authentic A. fuciphagus Edible Bird's Nest.
- To provide an existence proof of natural chemical variation in a defined cohort of EBN.
- To establish a baseline for authentic EBN to aid in developing advanced authentication methods.
Main Methods:
- Utilized multi-modal Fourier Transform Infrared (FTIR) spectroscopy, including transmission, macro-attenuated total reflectance (ATR), and micro-ATR chemical imaging.
- Analyzed a diverse set of validated, authentic EBN samples.
- Employed unsupervised Principal Component Analysis (PCA) to explore spectral data structure and identify chemical variations.
Main Results:
- Revealed significant and previously unquantified spectral heterogeneity in authentic EBN, particularly in protein and glycoprotein regions.
- Demonstrated that the chemical signatures of authentic EBN exist on a broad, multi-dimensional continuum, not a single uniform profile.
- Highlighted that this natural variability can lead to misclassification by conventional quality control methods relying on simplistic standards.
Conclusions:
- The inherent chemical variability of authentic EBN poses a challenge for traditional quality control and adulteration detection.
- Established a robust chemical baseline for authentic EBN, accounting for natural variations.
- This foundational data is crucial for developing next-generation authentication models capable of differentiating natural variance from adulteration.
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