شماره ركورد كنفرانس :
4862
عنوان مقاله :
Spectroscopy and Spectral Imaging Techniques for Non-destructive Food Microbial Assessment
عنوان به زبان ديگر :
Spectroscopy and Spectral Imaging Techniques for Non-destructive Food Microbial Assessment
پديدآورندگان :
Rahi Sahar rahi.s@ut.ac.ir Sahar Rahi, Department of Agricultural Machinery Engineering, University of Tehran, Tehran, Iran; , Mobli Hossein hmobli@ut.ac.ir Hossein Mobli, Department of Agricultural Machinery Engineering, University of Tehran, Tehran, Iran; , Jamshidi Bahareh b.jamshidi@areo.ir Bahareh Jamshidi, Agricultural Engineering Research Institute, Agricultural Research Education and Extension Organization (AREEO), Karaj, Iran;
كليدواژه :
Near infrared (NIR) spectroscopy , Hyperspectral Imaging , Multispectral Imaging , Raman spectroscopy , Microbial assessment.
عنوان كنفرانس :
پنجمين كنفرانس بين المللي آزمون هاي غير مخرب ايران
چكيده فارسي :
Most contamination in agricultural and food products is caused by undesirable microorganisms which are available in food. Microbial evaluation plays a very important role in food quality assessment. Typical methods to detect microbial loads are time-consuming, tedious, labor-intensive and destructive. Recently, a few techniques like Near infrared (NIR) spectroscopy and Raman spectroscopy has been with advantages of being rapid, non-destructive and efficient to assessment microbial contamination. Moreover, hyperspectral imaging (HSI) and multispectral imaging (MSI), the technologies that simultaneously provide spectral and spatial information of foodstuffs, are now widely applied. In this paper, we describe recent progresses and applications of these optical techniques are described as efficient tools in replacing traditional technologies for detecting spoilage microorganisms in various raw and processed food products. It would be expected that efficient spectroscopy and Microbial evaluation spectral imaging systems would likely be developed and applied for online microbial evaluation in agricultural and food industry.