تشخیص تقلب گوشت چرخ‌کرده با تکنیک‌های طیفی و هوش مصنوعی (2024-2020)

نوع مقاله : مقاله مروری انگلیسی

نویسندگان

امیر کاظمی ¹

اصغر محمودی ¹

مصطفی خجسته‌نژند ²

¹ گروه مهندسی بیوسیستم، دانشگاه تبریز، تبریز، ایران

² گروه مهندسی مکانیک، دانشکده فنی و مهندسی، دانشگاه بناب، بناب، ایران

https://doi.org/10.22067/ifstrj.2024.88158.1335

چکیده

گوشت منبع مهمی از مواد مغذی مهم است و نقش حیاتی در رژیم غذایی انسان دارد. عدم نظارت بر کیفیت و ایمنی گوشت می‌تواند منجر به تهدید سلامتی شود. بررسی ایمنی گوشت با روش‌های شیمیایی پرهزینه و زمان‌بر است، بدون اینکه امکان نظارت به‌صورت زمان واقعی وجود داشته باشد. بنابراین، امروزه ارزیابی کیفیت گوشت با استفاده از تکنیک‌های طیفی مانند تصویربرداری طیفی و طیف‌سنجی، روش‌هایی امیدوارکننده محسوب می‌شوند و این تکنیک‌ها اخیراً دستخوش پیشرفت‌های سریعی شده و توجه عمومی را به خود جلب کرده است. بنابراین، هدف مقاله مروری حاضر ارائه مروری بر آخرین پیشرفت‌ها در روش‌های طیفی برای ارزیابی ایمنی گوشت چرخ‌شده است. اصول اولیه کار، فرآیند تحلیل و کاربردهای این تکنیک‌ها شرح داده شده است. محققان با بررسی امکان استفاده عملی از فناوری‌های تشخیص طیفی در ارزیابی ایمنی گوشت، چالش‌های موجود و چشم‌انداز تحقیقاتی آتی را مورد بحث قرار دادند. در ادامه، جدیدترین پیشرفت‌ها در کاربرد هوش مصنوعی همراه با تکنیک‌های ذکر شده نیز مورد بحث قرار گرفت.

کلیدواژه‌ها

تقلب

تصویربرداری طیفی

طیف‌سنجی NIR

گوشت چرخ‌کرده

یادگیری ماشین

موضوعات

• شیمی مواد غذایی

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عنوان مقاله English

Detection of Adulteration of Ground Meat by Spectral-based Techniques and Artificial Intelligence (2020-2024)

نویسندگان English

Amir Kazemi ¹

Asghar Mahmoudi ¹

Mostafa Khojasteh Najand ²

¹ Department of Biosystems Engineering, University of Tabriz, Tabriz, Iran

² Department of Mechanical Engineering, University of Bonab, Bonab, Iran

چکیده English

Meat is a significant source of important nutrients and has a vital role in the human diet. Lack of monitoring of the quality and safety of meat can result in posing health threats. Determining safety through chemical methods is costly and time-consuming, without the ability to monitor in real-time. Therefore, nowadays assessing the quality of meat by applying spectral techniques such as spectroscopic and spectral imaging, considered as promising tools and these strategies have recently undergone swift advancements and garnered heightened public attention. Therefore, the purpose of the present review paper is to give an overview of the latest advancements in spectral methods for assessing ground meat safety. The basic working principles, fundamental settings, analysis process, and applications of these techniques are described. By investigating the practical utilization possibilities of spectral detection technologies in the evaluation of meat safety, researchers discussed the present challenges and upcoming research prospects. Furthermore, the newest advances in the application of artificial intelligence accompanied by the mentioned techniques were also discussed.

کلیدواژه‌ها English

Adulteration

Machine learning

Minced meat

NIR spectroscopy

Spectral imaging

©2025 The author(s). This is an open access article distributed under Creative Commons Attribution 4.0 International License (CC BY 4.0).

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