近红外光谱法在塞内加尔鳎（Solea senegalensis）脂肪酸分析中的应用

IF 4.3 2区化学 Q1 SPECTROSCOPY

Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy Pub Date : 2025-03-13 DOI:10.1016/j.saa.2025.126042

Víctor M. Fernández-Cabanás , Ismael Hachero Cruzado

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引用次数: 0

摘要

本研究评估了近红外光谱（NIRS）作为估算塞内加尔鳎（Solea senegalensis）脂肪酸谱的一种快速、经济的技术的潜力。传统上，水产产品的脂质分析依赖于气相色谱（GC），这是一种高度准确但耗时、昂贵且复杂的方法，需要大量的样品制备。相比之下，近红外光谱为预测化学成分提供了一种非侵入性、快速和准确的替代方法。虽然近红外光谱在脂肪鱼类的脂质分析方面取得了成功，但由于脂质浓度低和光谱信号重叠，将其应用于瘦肉鱼类，如塞内加尔比目鱼，面临着挑战。在本研究中，塞内加尔比目鱼饲喂不同海洋蛋白质和脂肪含量的试验饲料。使用气相色谱和近红外光谱分析75个组织样品的脂质谱，脂肪酸含量表示为总脂肪酸的百分比（% TFA）和每毫克干组织的微克脂肪酸（µg FA/mg干组织）。使用修正偏最小二乘回归（MPLSR）进行校正，并使用校正统计量评估预测精度。结果表明，膳食脂肪对塞内加尔鳎的脂肪酸组成有显著影响，这与先前对海鱼的研究结果一致。当脂肪酸含量以µg FA/mg干组织表示时，NIRS校准最准确，比% TFA给出更好的预测。该方法对塞内加尔鳎主要脂肪酸油酸的校正效果最佳，R2cv为0.83，标准偏差/交叉验证误差（RPD）为2.44。脂肪酸组预测单不饱和脂肪酸（MUFA）比其他组更准确，R2cv为0.85，RPD为2.60。这些结果表明，近红外光谱（NIRS）作为塞内加尔比目鱼中脂肪酸分析的一种快速和经济有效的方法，特别是用于估计单不饱和脂肪酸和多不饱和脂肪酸（MUFA和PUFA）的潜力。然而，提高近红外光谱预测模型的准确性和鲁棒性还需要进一步的研究。扩大校准数据集，使其包括饮食、季节和培养条件的更大变化，将提高该方法的可靠性，使其得到更广泛的应用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Evaluating near-infrared spectroscopy as a rapid and cost-effective method for fatty acid profiling in Senegalese sole (Solea senegalensis)

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Evaluating near-infrared spectroscopy as a rapid and cost-effective method for fatty acid profiling in Senegalese sole (Solea senegalensis)

This study evaluates the potential of near-infrared spectroscopy (NIRS) as a rapid and cost-effective technique for estimating the fatty acid profile of Senegalese sole (Solea senegalensis).

Traditionally, lipid profiling in aquaculture products has relied on gas chromatography (GC), a highly accurate but time-consuming, costly and complex method requiring extensive sample preparation. In contrast, NIRS offers a non-invasive, rapid and accurate alternative for predicting chemical composition. While NIRS has shown success in lipid profiling for fatty fish species, its application to lean fish, such as Senegalese sole, presents challenges due to low lipid concentrations and overlapping spectral signals.

In this study, Senegalese sole were fed experimental diets varying in marine protein and lipid content. Lipid profiles of 75 tissue samples were analysed using both GC and NIRS, with fatty acid content expressed as percentage of total fatty acids (% TFA) and as µg fatty acid per mg dry tissue (µg FA/mg dry tissue). Calibrations were developed using Modified Partial Least Squares Regression (MPLSR) and the prediction accuracy was assessed using calibration statistics.

The results showed that dietary lipids significantly influenced the fatty acid composition of Senegalese sole, consistent with previous findings for marine fish. NIRS calibrations were most accurate when fatty acid content was expressed as µg FA/mg dry tissue, giving better predictions than % TFA. The best calibrations were obtained for oleic acid, the dominant fatty acid in Senegalese sole, with an R²cv of 0.83 and a ratio of standard deviation/cross validation error (RPD) of 2.44. Fatty acid group predictions were more accurate for monounsaturated fatty acids (MUFA) than for the other groups, with an R²cv of 0.85 and an RPD of 2.60.

These results demonstrate the potential of NIRS as a rapid and cost-effective method for fatty acid profiling in Senegalese sole, particularly for the estimation of mono- and polyunsaturated fatty acids (MUFA and PUFA). However, further research is needed to improve the accuracy and robustness of NIRS prediction models. Expanding the calibration dataset to include greater variability in diet, season and cultivation conditions will improve the reliability of the method for wider applications.

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来源期刊

Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 物理-光谱学

CiteScore

8.40

自引率

11.40%

发文量

1364

审稿时长

40 days

期刊介绍： Spectrochimica Acta, Part A: Molecular and Biomolecular Spectroscopy (SAA) is an interdisciplinary journal which spans from basic to applied aspects of optical spectroscopy in chemistry, medicine, biology, and materials science. The journal publishes original scientific papers that feature high-quality spectroscopic data and analysis. From the broad range of optical spectroscopies, the emphasis is on electronic, vibrational or rotational spectra of molecules, rather than on spectroscopy based on magnetic moments. Criteria for publication in SAA are novelty, uniqueness, and outstanding quality. Routine applications of spectroscopic techniques and computational methods are not appropriate. Topics of particular interest of Spectrochimica Acta Part A include, but are not limited to: Spectroscopy and dynamics of bioanalytical, biomedical, environmental, and atmospheric sciences, Novel experimental techniques or instrumentation for molecular spectroscopy, Novel theoretical and computational methods, Novel applications in photochemistry and photobiology, Novel interpretational approaches as well as advances in data analysis based on electronic or vibrational spectroscopy.