Non-Invasive Prediction of Barramundi (Lates calcarifer) Flesh Lightness Using Near-Infrared Spectroscopy

IF 1.9 4区 农林科学 Q2 FISHERIES Aquaculture Research Pub Date : 2024-10-15 DOI:10.1155/2024/1524148
Weiyu Chen, Dean R. Jerry, Ronald D. White, Leo Nankervis
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Abstract

Barramundi (Lates calcarifer) is an important aquaculture species extensively farmed throughout its natural distribution of Australia and Southeast Asia, as well as being increasingly farmed in the Middle East, USA, and Europe. Barramundi has a firm, pink-white flesh; however, fillets from farmed barramundi often exhibit grey colouration. This grey colouration detracts from its market appeal, leading to challenges in consumer acceptance and competitiveness of the product against other white fillet fish. Selective breeding, environmental manipulation, and dietary adjustments are being investigated to reduce grey flesh colouration. Yet, the absence of a rapid, noninvasive approach to predict greyness in flesh means that large numbers of samples cannot be quickly evaluated, and issues cannot be mitigated preharvest and noninvasively to preserve the fish. To address this issue, rapid analysis of flesh greyness was developed using noninvasive near-infrared (NIR) spectroscopy through the fish skin. Thirty fish were purchased from a barramundi farm, filleted, and divided into 3 cm sections, yielding a total of 335 samples from both dorsal and ventral fillet regions. NIR spectral data were obtained from the skin side of all samples, and colouration data were collected from the flesh side of the same samples. Data were randomised into a training set (256 spectra) and a validation set (79 spectra). Predictive models were developed using flesh colour as the training input for skin NIR spectra. The refined partial least squares regression model explained 78% of the variation in the medial flesh colour (R2pe of 0.776, an RMSEP of 2.820, and an RPDpe of 2.122) demonstrating the ability to adequately predict the flesh quality through skin spectra. This highlights the potential of NIR spectroscopy as a dependable, noninvasive tool, enabling the rapid evaluation of large samples and offering the potential to address flesh colouration issues in barramundi preharvest.

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利用近红外光谱对肺鲈鱼(Lates calcarifer)肉质亮度进行非侵入式预测
肺鱼(Lates calcarifer)是一种重要的水产养殖鱼种,在澳大利亚和东南亚的自然分布区被广泛养殖,在中东、美国和欧洲的养殖量也越来越大。肺鱼的肉质坚实,呈粉白色;但养殖肺鱼的鱼片通常呈灰色。这种灰色减弱了巴拉蒙蒂鱼的市场吸引力,导致消费者难以接受,产品竞争力难以与其他白色鱼片相比。目前正在研究通过选择性育种、环境控制和饮食调整来减少灰色肉色。然而,由于缺乏快速、非侵入性的方法来预测鱼肉的灰度,这意味着无法快速评估大量样本,也无法在收获前以非侵入性的方式减轻问题,以保存鱼肉。为了解决这个问题,我们开发了一种通过鱼皮的无创近红外(NIR)光谱快速分析鱼肉灰度的方法。从一个肺鱼养殖场购买了 30 条鱼,将其切片并分成 3 厘米长的部分,从背侧和腹侧鱼片区域共获得 335 个样本。近红外光谱数据来自所有样本的皮面,色度数据来自相同样本的肉面。数据随机分为训练集(256 个光谱)和验证集(79 个光谱)。使用肉色作为皮肤近红外光谱的训练输入,建立了预测模型。改进后的偏最小二乘法回归模型解释了 78% 的中层肉色变化(R2pe 为 0.776,RMSEP 为 2.820,RPDpe 为 2.122),证明了通过皮肤光谱充分预测肉质的能力。这凸显了近红外光谱作为一种可靠、非侵入性工具的潜力,可对大量样本进行快速评估,为解决采捕前肺鱼的肉色问题提供了可能。
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来源期刊
Aquaculture Research
Aquaculture Research 农林科学-渔业
CiteScore
4.60
自引率
5.00%
发文量
464
审稿时长
5.3 months
期刊介绍: International in perspective, Aquaculture Research is published 12 times a year and specifically addresses research and reference needs of all working and studying within the many varied areas of aquaculture. The Journal regularly publishes papers on applied or scientific research relevant to freshwater, brackish, and marine aquaculture. It covers all aquatic organisms, floristic and faunistic, related directly or indirectly to human consumption. The journal also includes review articles, short communications and technical papers. Young scientists are particularly encouraged to submit short communications based on their own research.
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