Mejias-Brizuela, N. Y.; Olivares-Pérez, A.; Páez-Trujillo, G.; Fuentes-Tapia, I.
An artificial green colorant, composed by erioglaucine (Blue 1) and tartrazine (Yellow 5), was employed in a sugar matrix to improve the material sensibility and to make a comparative analysis of the diffraction efficiency parameter, for holograms replications, the holographic pattern was obtained by a computer and recorded in sugar films and in modified sugar (sugar-colorant). Conventional lithography and UV radiation were used. The results show that the behavior diffraction efficiency of the sugar-colorant films is slightly larger than in the sugar matrix under the same recording conditions.
Grande-Grande, A.; Mejias-Brizuela, N. Y.; Olivares-Pérez, A.; Paez-Trujillo, G.; Fuentes-Tapia, I.
We present a comparative analysis between the diffraction gratings efficiencies recorded on films corn honey and corn honey whit ereoglaucine dye (Blue Â® No. 1). For recording the diffraction gratings in the films using the technique of lithography pattern obtained by computer and exposure of the samples to ultraviolet radiation. Although the main reason of the addition of dye to the honey was the one of increasing its diffraction efficiency, the experimental results demonstrated that the gratings recorded in honey had bigger diffraction efficiency than those recorded in honey with dye.
Staiger, Felicia A.; Peterson, Joshua P.; Campbell, Dean J.
Erioglaucine dye (FD&C Blue #1) can be used instead of methylene blue in the classic "blue-bottle" demonstration. Food items containing FD&C Blue #1 and reducing species such as sugars can therefore be used at the heart of this demonstration, which simply requires the addition of strong base such as sodium hydroxide lye.
Samarov, Daniel V.; Clarke, Matthew; Lee, Ji Yoon; Allen, David; Litorja, Maritoni; Hwang, Jeeseong
As hyperspectral imaging (HSI) sees increased implementation into the biological and medical elds it becomes increasingly important that the algorithms being used to analyze the corresponding output be validated. While certainly important under any circumstance, as this technology begins to see a transition from benchtop to bedside ensuring that the measurements being given to medical professionals are accurate and reproducible is critical. In order to address these issues work has been done in generating a collection of datasets which could act as a test bed for algorithms validation. Using a microarray spot printer a collection of three food color dyes, acid red 1 (AR), brilliant blue R (BBR) and erioglaucine (EG) are mixed together at dierent concentrations in varying proportions at dierent locations on a microarray chip. With the concentration and mixture proportions known at each location, using HSI an algorithm should in principle, based on estimates of abundances, be able to determine the concentrations and proportions of each dye at each location on the chip. These types of data are particularly important in the context of medical measurements as the resulting estimated abundances will be used to make critical decisions which can have a serious impact on an individual's health. In this paper we present a novel algorithm for processing and analyzing HSI data based on the LASSO algorithm (similar to "basis pursuit"). The LASSO is a statistical method for simultaneously performing model estimation and variable selection. In the context of estimating abundances in an HSI scene these so called "sparse" representations provided by the LASSO are appropriate as not every pixel will be expected to contain every endmember. The algorithm we present takes the general framework of the LASSO algorithm a step further and incorporates the rich spatial information which is available in HSI to further improve the estimates of abundance. We show our algorithm's improvement
Zhu, Wenda; Koziel, Jacek A; Cai, Lingshuang; Brehm-Stecher, Byron F; Ozsoy, H Duygu; van Leeuwen, J Hans
Commercial manufacture of fruit leathers (FL) usually results in a portion of the product that is out of specification. The disposition of this material poses special challenges in the food industry. Because the material remains edible and contains valuable ingredients (fruit pulp, sugars, acidulates, etc.), an ideal solution would be to recover this material for product rework. A key practical obstacle to such recovery is that compositing of differently colored wastes results in an unsalable gray product. Therefore, a safe and scalable method for decolorization of FL prior to product rework is needed. This research introduces a novel approach utilizing ozonation for color removal. To explore the use of ozonation as a decolorization step, we first applied it to simple solutions of the commonly used food colorants 2-naphthalenesulfonic acid (Red 40), tartrazine (Yellow 5), and erioglaucine (Blue 1). Decolorization was measured by UV/vis spectrometry at visible wavelengths and with a Hunter colorimeter. Volatile and semivolatile byproducts from ozone-based colorant decomposition were identified and quantified with solid phase microextraction coupled with gas chromatography-mass spectrometry (SPME-GC-MS). Removal of Yellow 5, Red 40 and Blue 1 of about 65%, 80%, and 90%, respectively, was accomplished with 70 g of ozone applied per 1 kg of redissolved and resuspended FL. Carbonyl compounds were identified as major byproducts from ozone-induced decomposition of the food colorants. A conservative risk assessment based on quantification results and published toxicity information of potentially toxic byproducts, determined that ozone-based decolorization of FL before recycling is acceptable from a safety standpoint. A preliminary cost estimate based on recycling of 1000 tons of FL annually suggests a potential of $275,000 annual profit from this practice at one production facility alone.