Color and textural quality of packaged wild rocket measured by multispectral imaging

Volatile organic compounds as markers of quality changes during the storage of wild rocket

“…The hue values of the leaves in the present study were 111.9°for young and 114.2°for old leaves and thus above the 110°level, which is associated with high sensory greenness (Løkke, Seefeldt, Skov, & Edelenbos, 2013).…”

Feasibility in multispectral imaging for predicting the content of bioactive compounds in intact tomato fruit

“…More importantly, this technique has the great potential to measure the multiple components at the same time for quality assurance. Recently, this technology has been applied as a powerful process analytical tool for rapid, non-destructive inspection of internal and external attributes in various fruits and vegetables such as apple (Lu, 2004;Lunadei, Galleguillos, Diezma, Lleo, & Ruiz-Garcia, 2011;Peng & Lu, 2006, peach (Lleó, Barreiro, Ruiz-Altisent, & Herrero, 2009), fresh-cut spinach leaves (Lunadei et al, 2012), packaged wild rocket (Løkke, Seefeldt, Skov, & Edelenbos, 2013), and strawberry (Liu et al, 2014). In regards of tomato fruit, multispectral imaging was originally applied to prediction of unripe tomatoes and an accuracy of over 85% was achieved (Hahn, 2002).…”

Discrimination of Kernel Quality Characteristics for Sunflower Seeds Based on Multispectral Imaging Approach

“…It was originally developed for space-based imaging system which may not only capture light from visual range wavelengths, but also capture light from wavelengths beyond the visible light range, such as near-infrared (NIR), allowing the extraction of additional information that the human eye fails to capture (Lleó et al 2009). Moreover, the background of the sample can be subtracted before data analysis leading to only relevant information for further data treatment (Løkke et al 2013). Compared with conventional analytical methods, multispectral imaging technology is of great significance for rapid, chemical-free, and nondestructive analyses of samples, and estimating more than one attribute at the same time (Malik et al 2001).…”

“…Compared with conventional analytical methods, multispectral imaging technology is of great significance for rapid, chemical-free, and nondestructive analyses of samples, and estimating more than one attribute at the same time (Malik et al 2001). In recent years, multispectral imaging technology has been widely applied in fishes (Dissing et al 2011), meats (Yang et al 2005;Daugaard et al 2010;Ma et al 2014), fruits (El Masry et al 2007;Lunadei et al 2011), vegetables (Lunadei et al 2012;Løkke et al 2013;Liu et al 2014a), rice (Liu et al 2014b), etc. For sunflower seeds, however, there have been few reports on the use of multispectral imaging technology for kernel quality characteristics estimation.…”