利用计算机视觉系统和人工智能预测新鲜牛肉中肌红蛋白的氧化还原形式

IF 4.9 2区化学 Q1 CHEMISTRY, ANALYTICAL

Microchemical Journal Pub Date : 2024-09-07 DOI:10.1016/j.microc.2024.111588

Lethícia O. Bueno, Cecília A.S. Silva, Robledo A. Torres Filho, Alcinéia L.S. Ramos, Danton D. Ferreira, Eduardo M. Ramos

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引用次数: 0

摘要

为了开发一套计算机视觉系统（CVS）来确定牛肉表面肌红蛋白的氧化还原形式，我们记录了脱氧肌红蛋白（DMb）、氧肌红蛋白（OMb）和高铁血红蛋白（MMb）参考样品的反射光谱，并用数码相机（CVScam）和手机相机（CVScel）拍摄了牛肉表面的图像来训练算法。此外，还记录了开花和展示储存期间肉色的变化。CVScam 的 k 倍准确率（90.98 %）高于 CVScel 的 k 倍准确率（86.53 %），OMb（r = 0.77 和 0.71）、DMb（r = 0.84 和 0.71）和 MMb（r = 0.87 和 0.88）与色度计有显著相关性。与比色计相比，CVS 的 MMb 值较低，OMb 值较高，但其氧化还原形式行为更符合预期的表面化学变化。构建的 CVS 作为预测牛肉表面肌红蛋白氧化还原形式的有用而准确的工具，表现出令人满意的性能。

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Myoglobin redox form prediction in fresh beef using computer vision systems and artificial intelligence

To development a computer vision system (CVS) to determine the myoglobin redox forms on beef surfaces, the reflectance spectra of reference samples of deoxymyoglobin (DMb), oxymyoglobin (OMb), and metmyoglobin (MMb) were recorded, and the surface images captured by a digital camera (CVScam) and a cell phone camera (CVScel) to train the algorithm. Meat color changes during blooming and display storage were also recorded. Higher k-fold accuracy was observed for CVScam (90.98 %) than for CVScel (86.53 %), with significantly correlation with colorimeter for OMb (r = 0.77 and 0.71), DMb (r = 0.84 and 0.71), and MMb (r = 0.87 and 0.88). The CVS MMb was lower and the OMb was higher than colorimeter, but the redox form behaviors were more consistent with the expected chemical changes on the surface. The constructed CVS showed satisfactory performance as a useful and accurate tool for predicting the myoglobin redox forms on the beef surface.

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来源期刊

Microchemical Journal 化学-分析化学

CiteScore

8.70

自引率

8.30%

发文量

1131

审稿时长

1.9 months

期刊介绍： The Microchemical Journal is a peer reviewed journal devoted to all aspects and phases of analytical chemistry and chemical analysis. The Microchemical Journal publishes articles which are at the forefront of modern analytical chemistry and cover innovations in the techniques to the finest possible limits. This includes fundamental aspects, instrumentation, new developments, innovative and novel methods and applications including environmental and clinical field. Traditional classical analytical methods such as spectrophotometry and titrimetry as well as established instrumentation methods such as flame and graphite furnace atomic absorption spectrometry, gas chromatography, and modified glassy or carbon electrode electrochemical methods will be considered, provided they show significant improvements and novelty compared to the established methods.