نوع مقاله : مقاله مروری
نویسندگان
1 دانشگاه تبریز
2 دانشگاه بناب
چکیده
گوشت منبع تغذیه مهمی است و نقش مهمی در رژیم غذایی انسان دارد و عدم نظارت بر کیفیت و سلامت گوشت می تواند منجر به فسادپذیری بالا و تهدیدی برای سلامتی انسان شود. تعیین سلامت گوشت از طریق روش های شیمیایی پرهزینه و زمان بر است، بدون اینکه امکان نظارت در زمان واقعی وجود داشته باشد.بنابراین، ارزیابی گوشت توسط تکنیک های طیفی مانند تصویربرداری طیفی و طیف‌سنجی را میتوان به عنوان ابزارهای مفید و جایگزین در نظر گرفت و این استراتژی ها اخیراً دستخوش پیشرفت های سریع شده اند و توجه عمومی را به خود جلب کرده اند. بنابراین، هدف مقاله مروری حاضر ارائه مروری بر آخرین پیشرفت‌ها در روش‌های طیفی برای ارزیابی ایمنی گوشت چرخ کرده است. اصول اولیه کار، فرآیند تجزیه و تحلیل و کاربردهای این روش‌ها در بازرسی گوشت برای این تکنیک ها شرح داده شده است. در ادامه، جدیدترین پیشرفت‌های کاربرد هوش مصنوعی همراه با تکنیک‌های ذکر شده نیز مورد بحث و بررسی قرار گرفت.
کلیدواژه‌ها
موضوعات
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
- M. Khojasteh Najand 2
1 university of Tabriz
2 University of Bonab
چکیده [English]
Meat is a significant source of nutrition and has an important role in the human diet, and lack of monitoring of the quality and safety of meat can result in it being highly perishable and 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 considers spectral techniques such as spectroscopic and spectral imaging, 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 present 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.
Meat is a significant source of nutrition and has an important role in the human diet, and lack of monitoring of the quality and safety of meat can result in it being highly perishable and 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 considers spectral techniques such as spectroscopic and spectral imaging, 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 present 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.
Meat is a significant source of nutrition and has an important role in the human diet, and lack of monitoring of the quality and safety of meat can result in it being highly perishable and 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 considers spectral techniques such as spectroscopic and spectral imaging, 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 present 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
- NIR spectroscopy
- spectral imaging
- minced meat
)
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