Shi Yinyan, Wang Xiaochan, Borhan Md Saidul, Young Jennifer, Newman David, Berg Eric, Sun Xin
Department of Agricultural and Biosystems Engineering, North Dakota State University, Fargo, ND 58102, USA.
College of Engineering, Nanjing Agricultural University, Nanjing 210031, China.
Food Sci Anim Resour. 2021 Jul;41(4):563-588. doi: 10.5851/kosfa.2021.e25. Epub 2021 Jul 1.
Increasing meat demand in terms of both quality and quantity in conjunction with feeding a growing population has resulted in regulatory agencies imposing stringent guidelines on meat quality and safety. Objective and accurate rapid non-destructive detection methods and evaluation techniques based on artificial intelligence have become the research hotspot in recent years and have been widely applied in the meat industry. Therefore, this review surveyed the key technologies of non-destructive detection for meat quality, mainly including ultrasonic technology, machine (computer) vision technology, near-infrared spectroscopy technology, hyperspectral technology, Raman spectra technology, and electronic nose/tongue. The technical characteristics and evaluation methods were compared and analyzed; the practical applications of non-destructive detection technologies in meat quality assessment were explored; and the current challenges and future research directions were discussed. The literature presented in this review clearly demonstrate that previous research on non-destructive technologies are of great significance to ensure consumers' urgent demand for high-quality meat by promoting automatic, real-time inspection and quality control in meat production. In the near future, with ever-growing application requirements and research developments, it is a trend to integrate such systems to provide effective solutions for various grain quality evaluation applications.
肉类在质量和数量方面需求的不断增加，再加上要养活不断增长的人口，导致监管机构对肉类质量和安全实施了严格的指导方针。基于人工智能的客观、准确的快速无损检测方法和评估技术已成为近年来的研究热点，并在肉类行业中得到广泛应用。因此，本综述调查了肉类质量无损检测的关键技术，主要包括超声技术、机器（计算机）视觉技术、近红外光谱技术、高光谱技术、拉曼光谱技术以及电子鼻/舌。对这些技术的特点和评估方法进行了比较和分析；探讨了无损检测技术在肉类质量评估中的实际应用；并讨论了当前面临的挑战和未来的研究方向。本综述中呈现的文献清楚地表明，以往对无损技术的研究对于通过促进肉类生产中的自动、实时检测和质量控制来满足消费者对高品质肉类的迫切需求具有重要意义。在不久的将来，随着应用需求和研究的不断发展，整合此类系统以为各种谷物质量评估应用提供有效解决方案将成为一种趋势。
