Ecological attributes of foodborne infections

Skandamis, Panagiotis; Nychas, George‐John E.

doi:10.4161/viru.2.6.18664

Cited by 1 publication

(1 citation statement)

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“…Vegetables are highly contaminated by nature due either to agronomic systems employed in their production (e.g., irrigation with contaminated water, organic fertilizers such as manure, etc.) or during processing, handling and marketing, (Francis et al, 2012;Skandamis & Nychas, 2011). Nonetheless, consumers demand fresh produce commodities, which should be not only perfectly safe for human consumption, but visually attractive as well.…”

Section: Introductionmentioning

confidence: 99%

A unified spectra analysis workflow for the assessment of microbial contamination of ready-to-eat green salads: Comparative study and application of non-invasive sensors

Tsakanikas

Fengou

Manthou

et al. 2018

Computers and Electronics in Agriculture

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2The present study provides a comparative assessment of non-invasive sensors as means of estimating the microbial contamination and "time-on-shelf" (i.e. storage time) of leafy green vegetables, using a novel unified spectra analysis workflow. Two types of fresh readyto-eat green salads were used in the context of this study for the purpose of evaluating the efficiency and practical application of the presented workflow: rocket and baby spinach salads. The employed analysis workflow consisted of robust data normalization, powerful feature selection based on random forests regression, and selection of the number of partial least squares regression coefficients in the training process by estimating the "kneepoint" on the explained variance plot. Training processes were based on microbiological and spectral data derived during storage of green salad samples at isothermal conditions (4, 8 and 12°C), whereas testing was performed on data during storage under dynamic temperature conditions (simulating real-life temperature fluctuations in the food supply chain). Since an increasing interest in the use of non-invasive sensors in food quality assessment has been made evident in recent years, the unified spectra analysis workflow described herein, by being based on the creation/usage of limited sized featured sets, could be very useful in food-specific low-cost sensor development.

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Section: Introductionmentioning

confidence: 99%