Hyperspectral fluorescence imaging using violet LEDs as excitation sources for fecal matter contaminate identification on spinach leaves

Food safety in the production of fresh produce for human consumption is a worldwide issue and needs to be addressed to decrease foodborne illnesses and resulting costs. Hyperspectral fluorescence imaging coupled with multivariate image analysis techniques for detection of fecal contaminates on spinach leaves (Spinacia oleracea) was evaluated. Violet fluorescence excitation was provided at 405 nm and light emission was recorded from 464 to 800 nm. Partial least square discriminant analysis and wavelength ratio methods were compared for detection accuracy for fecal contamination. Fluorescence emission profiles of spinach leaves were monitored over a 27 days storage period; peak emission blue-shifts were observed over the storage period accompanying a color change from green to green–yellow–brown hue. The PLSDA model developed correctly detected fecal contamination on 100 % of relatively fresh green spinach leaves used in this investigation, which also had soil contamination. The PLSDA model had 19 % false positives for non-fresh post storage leaves. A wavelength ratio technique using four wavebands (680, 688, 703 and 723 nm) was successful in identifying 100 % of fecal contaminates on both fresh and non-fresh leaves. An on-line fluorescence imaging inspection system for fecal contaminant detection has potential to allow fresh produce producers to reduce foodborne illnesses and prevent against the associated economic losses.     

Differentiation of apple juice samples on the basis of heat treatment and variety using chemometric analysis of MIR and NIR data

The potential of mid-infrared (MIR) and near-infrared (NIR) spectroscopy for their ability to differentiate between apple juice samples on the basis of apple variety and applied heat-treatment was evaluated. The heat-treatment involved exposure of juice samples (15 ml) for 30 s in a 900 W microwave oven and the apple varieties used to produce the juice samples were Bramley, Elstar, Golden Delicious and Jonagold. The chemometric procedures applied to the MIR and NIR data were partial least squares regression (PLS1 for differentiation on the basis of heat-treatment, PLS2 for varietal differentiation) and linear discriminant analysis (LDA) applied to principal component (PC) scores. PLS1 and PLS2 gave the highest level of correct classification of the apple juice samples according to heat-treatment (77.2% for both MIR and NIR data) and variety (78.3–100% for MIR data; 82.4–100% for NIR data), respectively.     

Preliminary Evidence Supporting the Ability of Hermatypic Corals to Affect Adversely Larvae and Early Settlement Stages of Hard Coral Competitors

Crude, aqueous extracts of five species of hermatypic coral from three scleractinian families were assayed for bioactivity against the early life stages of scleractinian corals. At concentrations between 62.5 and 250 μg/ml, extracts of all species were lethal to at least three of the five species of coral planulae larvae tested. To test for behavioral changes, extracts from four species were tested on planulae of the scleractinian Pocillopora damicornis. All four caused immediate but reversible behavioral aberrations in the larvae at concentrations as low as 7.8 μg/ml. To determine the effects on newly settled corals, postmetamorphosis juveniles (spat) of P. damicornis were exposed to extracts from four hermatypic species. They were either killed or suffered a reduction in growth rates. If released under natural conditions, substances with lethal or sublethal activities against the early life stages of other scleractinians could allow hermatypic corals to influence patterns of scleractinian recruitment, thus playing a role in ordering coral communities.