Near-infrared spectroscopy method for rapid proximate quantitative analysis of nutrient composition in Pacific oyster Crassostrea gigas
Glycogen, amino acids, fatty acids, and other nutrient components affect the flavor and nutritional quality of oysters. Methods based on near-infrared reflectance spectroscopy (NIRS) were developed to rapidly and proximately determine the nutrient content of the Pacific oyster Crassostrea gigas. Sam...
Published in: | Journal of Oceanology and Limnology |
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ftchinacasciocas:oai:ir.qdio.ac.cn:337002/179991 2023-05-15T15:57:50+02:00 Near-infrared spectroscopy method for rapid proximate quantitative analysis of nutrient composition in Pacific oyster Crassostrea gigas Li, Zhe Qi, Haigang Yu, Ying Liu, Cong Cong, Rihao Li, Li Zhang, Guofan 2022-10-20 http://ir.qdio.ac.cn/handle/337002/179991 https://doi.org/10.1007/s00343-022-1347-3 英语 eng SCIENCE PRESS JOURNAL OF OCEANOLOGY AND LIMNOLOGY http://ir.qdio.ac.cn/handle/337002/179991 doi:10.1007/s00343-022-1347-3 Pacific oyster Crassostrea gigas near-infrared reflectance spectroscopy (NIRS) nutrient composition rapid determination Marine & Freshwater Biology Oceanography Limnology REFLECTANCE SPECTROSCOPY BAND ASSIGNMENTS QUALITY PRODUCTS CALIBRATION GLYCOGEN SPECTRA PROTEIN NIRS 期刊论文 2022 ftchinacasciocas https://doi.org/10.1007/s00343-022-1347-3 2022-12-14T16:02:19Z Glycogen, amino acids, fatty acids, and other nutrient components affect the flavor and nutritional quality of oysters. Methods based on near-infrared reflectance spectroscopy (NIRS) were developed to rapidly and proximately determine the nutrient content of the Pacific oyster Crassostrea gigas. Samples of C. gigas from 19 costal sites were freeze-dried, ground, and scanned for spectral data collection using a Fourier transform NIR spectrometer (Thermo Fisher Scientific). NIRS models of glycogen and other nutrients were established using partial least squares, multiplication scattering correction, first-order derivation, and Norris smoothing. The R-C values of the glycogen, fatty acids, amino acids, and taurine NIRS models were 0.967 8, 0.931 2, 0.913 2, and 0.892 8, respectively, and the residual prediction deviation (RPD) values of these components were 3.15, 2.16, 3.11, and 1.59, respectively, indicating a high correlation between the predicted and observed values, and that the models can be used in practice. The models were used to evaluate the nutrient compositions of 1 278 oyster samples. Glycogen content was found to be positively correlated with fatty acids and negatively correlated with amino acids. The glycogen, amino acid, and taurine levels of C. gigas cultured in the subtidal and intertidal zones were also significantly different. This study suggests that C. gigas NIRS models can be a cost-effective alternative to traditional methods for the rapid and proximate analysis of various slaughter traits and may also contribute to future genetic and breeding-related studies in Pacific oysters. Report Crassostrea gigas Pacific oyster Institute of Oceanology, Chinese Academy of Sciences: IOCAS-IR Pacific Slaughter ENVELOPE(-85.633,-85.633,-78.617,-78.617) Journal of Oceanology and Limnology |
institution |
Open Polar |
collection |
Institute of Oceanology, Chinese Academy of Sciences: IOCAS-IR |
op_collection_id |
ftchinacasciocas |
language |
English |
topic |
Pacific oyster Crassostrea gigas near-infrared reflectance spectroscopy (NIRS) nutrient composition rapid determination Marine & Freshwater Biology Oceanography Limnology REFLECTANCE SPECTROSCOPY BAND ASSIGNMENTS QUALITY PRODUCTS CALIBRATION GLYCOGEN SPECTRA PROTEIN NIRS |
spellingShingle |
Pacific oyster Crassostrea gigas near-infrared reflectance spectroscopy (NIRS) nutrient composition rapid determination Marine & Freshwater Biology Oceanography Limnology REFLECTANCE SPECTROSCOPY BAND ASSIGNMENTS QUALITY PRODUCTS CALIBRATION GLYCOGEN SPECTRA PROTEIN NIRS Li, Zhe Qi, Haigang Yu, Ying Liu, Cong Cong, Rihao Li, Li Zhang, Guofan Near-infrared spectroscopy method for rapid proximate quantitative analysis of nutrient composition in Pacific oyster Crassostrea gigas |
topic_facet |
Pacific oyster Crassostrea gigas near-infrared reflectance spectroscopy (NIRS) nutrient composition rapid determination Marine & Freshwater Biology Oceanography Limnology REFLECTANCE SPECTROSCOPY BAND ASSIGNMENTS QUALITY PRODUCTS CALIBRATION GLYCOGEN SPECTRA PROTEIN NIRS |
description |
Glycogen, amino acids, fatty acids, and other nutrient components affect the flavor and nutritional quality of oysters. Methods based on near-infrared reflectance spectroscopy (NIRS) were developed to rapidly and proximately determine the nutrient content of the Pacific oyster Crassostrea gigas. Samples of C. gigas from 19 costal sites were freeze-dried, ground, and scanned for spectral data collection using a Fourier transform NIR spectrometer (Thermo Fisher Scientific). NIRS models of glycogen and other nutrients were established using partial least squares, multiplication scattering correction, first-order derivation, and Norris smoothing. The R-C values of the glycogen, fatty acids, amino acids, and taurine NIRS models were 0.967 8, 0.931 2, 0.913 2, and 0.892 8, respectively, and the residual prediction deviation (RPD) values of these components were 3.15, 2.16, 3.11, and 1.59, respectively, indicating a high correlation between the predicted and observed values, and that the models can be used in practice. The models were used to evaluate the nutrient compositions of 1 278 oyster samples. Glycogen content was found to be positively correlated with fatty acids and negatively correlated with amino acids. The glycogen, amino acid, and taurine levels of C. gigas cultured in the subtidal and intertidal zones were also significantly different. This study suggests that C. gigas NIRS models can be a cost-effective alternative to traditional methods for the rapid and proximate analysis of various slaughter traits and may also contribute to future genetic and breeding-related studies in Pacific oysters. |
format |
Report |
author |
Li, Zhe Qi, Haigang Yu, Ying Liu, Cong Cong, Rihao Li, Li Zhang, Guofan |
author_facet |
Li, Zhe Qi, Haigang Yu, Ying Liu, Cong Cong, Rihao Li, Li Zhang, Guofan |
author_sort |
Li, Zhe |
title |
Near-infrared spectroscopy method for rapid proximate quantitative analysis of nutrient composition in Pacific oyster Crassostrea gigas |
title_short |
Near-infrared spectroscopy method for rapid proximate quantitative analysis of nutrient composition in Pacific oyster Crassostrea gigas |
title_full |
Near-infrared spectroscopy method for rapid proximate quantitative analysis of nutrient composition in Pacific oyster Crassostrea gigas |
title_fullStr |
Near-infrared spectroscopy method for rapid proximate quantitative analysis of nutrient composition in Pacific oyster Crassostrea gigas |
title_full_unstemmed |
Near-infrared spectroscopy method for rapid proximate quantitative analysis of nutrient composition in Pacific oyster Crassostrea gigas |
title_sort |
near-infrared spectroscopy method for rapid proximate quantitative analysis of nutrient composition in pacific oyster crassostrea gigas |
publisher |
SCIENCE PRESS |
publishDate |
2022 |
url |
http://ir.qdio.ac.cn/handle/337002/179991 https://doi.org/10.1007/s00343-022-1347-3 |
long_lat |
ENVELOPE(-85.633,-85.633,-78.617,-78.617) |
geographic |
Pacific Slaughter |
geographic_facet |
Pacific Slaughter |
genre |
Crassostrea gigas Pacific oyster |
genre_facet |
Crassostrea gigas Pacific oyster |
op_relation |
JOURNAL OF OCEANOLOGY AND LIMNOLOGY http://ir.qdio.ac.cn/handle/337002/179991 doi:10.1007/s00343-022-1347-3 |
op_doi |
https://doi.org/10.1007/s00343-022-1347-3 |
container_title |
Journal of Oceanology and Limnology |
_version_ |
1766393539345776640 |