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

مجله پژوهشهای علوم و صنایع غذایی ایران

مقاله 6، دوره 20، شماره 6 - شماره پیاپی 90، بهمن و اسفند 1403، صفحه 201-224   

نوع مقاله: مقاله مروری لاتین

شناسه دیجیتال (DOI): 10.22067/ifstrj.2024.88158.1335

نویسندگان

امیر کاظمی^{* 1}؛ اصغر محمودی¹؛ مصطفی خجسته نژند²

¹گروه مهندسی بیوسیستم، دانشگاه تبریز، تبریز، ایران

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

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

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