Physicochemical mechanisms of FT-NIRS age prediction in fish otoliths
| Autor: | Michelle S. Passerotti, Marcel J. M. Reichert, Bailey A. Robertory, Zachary Marsh, Morgan Stefik, Joseph M. Quattro |
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| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | Marine and Freshwater Research. 73:846-865 |
| ISSN: | 1448-6059 1323-1650 |
| DOI: | 10.1071/mf21341 |
| Popis: | Context Fourier transform near-infrared spectroscopy (FT-NIRS) is of interest to fisheries managers for rapid age prediction in fish otoliths, yet the underlying prediction mechanism is unknown. Aims To better understand drivers of FT-NIRS age prediction, we evaluated FT-NIRS spectra and age prediction models for otoliths of red snapper, Lutjanus campechanus, related to otolith structure, mass, and constituents (calcium carbonate (CaCO3) and protein). Methods Spectra were collected from a set of whole otoliths (n = 84, 0–28 years) and again sequentially after grinding to powder and subsampling a fixed mass of each ground otolith. Protein content was also measured (n = 26) and related to spectra. Key results Age prediction was diminished in ground and fixed-mass otolith models, but remained within 2 years of traditional ages. Protein content (0.43–0.92% weight) increased significantly with age, implying a concomitant decrease in CaCO3 content. FT-NIRS models predicted protein content to within 0.04%, but protein variability hindered modelling. Spectral characteristics of both CaCO3 and protein are evident in otolith spectra and are implicated in age-prediction models. Conclusions Changes in otolith composition, mass, and structure underlie FT-NIRS age prediction, but compositional changes inform the majority of age prediction. Implications These results provide a foundation for understanding FT-NIRS age prediction. |
| Databáze: | OpenAIRE |
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