اصالتسنجی و تشخیص تقلب مواد غذایی بر اساس تکنیکهای انگشتنگاری و ابزارهای شیمیسنجی (مقاله مروری)
الموضوعات :
احسان سرلکی
1
,
محمد ابونجمی
2
1 - دانشجوی دکتری مهندسی مکانیک بیوسیستم، گروه مهندسی فنی کشاورزی، پردیس ابوریحان، دانشگاه تهران
2 - دانشیار، گروه مهندسی فنی کشاورزی، پردیس ابوریحان، دانشگاه تهران
تاريخ الإرسال : 28 الأحد , رمضان, 1440
تاريخ التأكيد : 13 السبت , صفر, 1441
تاريخ الإصدار : 25 الجمعة , ربيع الأول, 1441
الکلمات المفتاحية:
تقلب,
روشهای تحلیلی,
اصالتسنجی,
شیمیسنجی,
اثرانگشت مواد غذایی,
ملخص المقالة :
اصالتسنجی یک مسئله مهم در کنترل کیفیت، بهداشت و ایمنی مواد غذایی است. شناسایی و تعیین تقلب در مواد غذایی بهمنظور بررسی اجزای آنها، کیفیت و صحت و اطمینان از ایمنی ماده غذایی و رضایت مصرفکنندگان نیاز به توسعه روشهای تحلیلی نوین و مؤثر دارد. فنون انگشتنگاری شامل انگشتنگاری کروماتوگرافی، انگشتنگاری الکتروفورز، انگشتنگاری طیفسنجی و انگشتنگاری حسگرهای الکترونیکی هستند. در حال حاضر از میان این فنون، روشهای کروماتوگرافی مایع (LC)، کروماتوگرافی گازی (GC)، طیفسنجیهای مادون قرمز نزدیک (NIR) و مادون قرمز متوسط (MIR)، رامان (Raman)، تصویربرداری ابر طیفی (HSI) و رزونانس مغناطیسی هسته (NMR) بهعنوان ابزارهای تحلیلی مرسوم موجود هستند و برای جلوگیری از تقلب مواد غذایی بهکار گرفته میشوند. فنون NIR، MIR و Raman و همچنین فنون انگشتنگاری حسگر-مبنا (بینی الکترونیکی (E-Nose)، زبان الکترونیکی (E-Tongue) و چشم الکترونیکی (E-Eye))، دارای مزایای بسیار مهمی از قبیل آنالیز سریع، پیشرفته و غیر-مخرب با هزینههای پایین هستند. انگشتنگاری مواد غذایی در ترکیب با ابزارهای شیمیسنجی یک تکنیک ارزشمند برای تشخیص تقلب و کنترل مواد غذایی بهشمار میآید. در این مقاله مروری، انواع فنون انگشتنگاری مورداستفاده در شناسایی و تشخیص تقلب برای آنالیز اثرانگشت مواد غذایی موردبررسی قرار گرفته است و بر مزایا و معایب هر یک از فنون پرداخته شده و یافتههای مقالات اخیر برای این فنون در حوزه اصالتسنجی مواد غذایی مورد بحث قرار گرفته است.
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· Aboonajmi, M., Jahangiri, M. and Hassan‐Beygi, S.R. (2015). A Review on Application of Acoustic Analysis in Quality Evaluation of Agro‐food Products. Journal of food processing and preservation, 39 (6): 3175-3188.
· Aboonajmi, M. and Najafabadi, T.A. (2014). Prediction of poultry egg freshness using Vis-NIR spectroscopy with maximum likelihood method, International journal of food properties, 17(10): 2166-2176.
· Aboonajmi, M., Saberi, A., Najafabadi, T.A. and Kondo, N. (2016). Quality assessment of poultry egg based on visible–near infrared spectroscopy and radial basis function networks, International journal of food properties, 19(5): 1163-1172.
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