Aplicabilidad de equipos portátiles de espectroscopía NIR para la estimación en parcela de azúcares en uva

En este artículo se presentan las posibilidades de implementacion de equipos espectroscópicos no destructivos para el seguimiento de la uva en parcela. Se incluyen los principales resultados obtenidos durante 2 campañas de investigación

One dimensional exciton luminescence induced by extended defects in nonpolar (Al,Ga)N/GaN quantum wells

In this study, we present the optical properties of nonpolar GaN/(Al,Ga)N single quantum wells (QWs) grown on either a- or m-plane GaN templates for Al contents set below 15%. In order to reduce the density of extended defects, the templates have been processed using the epitaxial lateral overgrowth technique. As expected for polarization-free heterostructures, the larger the QW width for a given Al content, the narrower the QW emission line. In structures with an Al content set to 5 or 10%, we also observe emission from excitons bound to the intersection of I1-type basal plane stacking faults (BSFs) with the QW. Similarly to what is seen in bulk material, the temperature dependence of BSF-bound QW exciton luminescence reveals intra-BSF localization. A qualitative model evidences the large spatial extension of the wavefunction of these BSF-bound QW excitons, making them extremely sensitive to potential fluctuations located in and away from BSF. Finally, polarization-dependent measurements show a strong emission anisotropy for BSF-bound QW excitons, which is related to their one-dimensional character and that confirms that the intersection between a BSF and a GaN/(Al,Ga)N QW can be described as a quantum wire.

A portable NIR device for the optical supervision of milk coagulation process

The coagulation of milk is the fundamental process in cheese-making, based on a gel formation as consequence of physicochemical changes taking place in the casein micelles, the monitoring the whole process of milk curd formation is a constant preoccupation for dairy researchers and cheese companies (Lagaude et al., 2004). In addition to advances in composition-based applications of near infrared spectroscopy (NIRS), innovative uses of this technology are pursuing dynamic applications that show promise, especially in regard to tracking a sample in situ during food processing (Bock and Connelly, 2008). In this way the literature describes cheese making process applications of NIRS for curd cutting time determination, which conclude that NIRS would be a suitable method of monitoring milk coagulation, as shown i.e. the works published by Fagan et al. (Fagan et al., 2008; Fagan et al., 2007), based in the use of the commercial CoAguLite probe (with a LED at 880nm and a photodetector for light reflectance detection).

Luminescence from two-dimensional electron gases in InAlN/GaN heterostructures with different In content

The luminescence properties of InxAl1−xN/GaN heterostructures are investigated systematically as a function of the In content (x = 0.067 − 0.208). The recombination between electrons confined in the two-dimensional electron gas and free holes in the GaN template is identified and analyzed. We find a systematic shift of the recombination with increasing In content from about 80 meV to only few meV below the GaN exciton emission. These results are compared with model calculations and can be attributed to the changing band profile and originating from the polarization gradient between InAlN and GaN.

High efficient luminescence in type-II GaAsSb-capped InAs quantum dots upon annealing

The photoluminescence efficiency of GaAsSb-capped InAs/GaAs type II quantum dots (QDs) can be greatly enhanced by rapid thermal annealing while preserving long radiative lifetimes which are ∼20 times larger than in standard GaAs-capped InAs/GaAs QDs. Despite the reduced electron-hole wavefunction overlap, the type-II samples are more efficient than the type-I counterparts in terms of luminescence, showing a great potential for device applications. Strain-driven In-Ga intermixing during annealing is found to modify the QD shape and composition, while As-Sb exchange is inhibited, allowing to keep the type-II structure. Sb is only redistributed within the capping layer giving rise to a more homogeneous composition.

Non-Destructive Identification of Woolly Peaches combining Mechanical Impact Response and NIR Spectroscopy.

Woolliness (mealiness in other fruits) is a negative attribute of peach sensory texture that is a physiological disorder associated with inadequate cold storage. It is characterised by lack of crispness and juiciness without variation in the tissue water content (Harker and Hallet, 1992). Many attempts have been made to develop destructive instrumental procedures to detect mealiness and woolliness. Non-destructive procedures attempted include using nuclear magnetic resonance (Sonego et al., 1995). However, this technique has economical limitations and is not practical at present. Non-destructive impact tests and NIR are non-destructive techniques which have been used to assess internal characteristics of fruits (Chen and Sun, 1991). The objective of this study was to develop a novel non-destructive procedure to identify woolly peaches by combining impact and NIR approaches.

Effects of internal luminescence and internal optics on V-oc and J(sc) of III-V solar cells

For solar cells dominated by radiative recombination, the performance can be significantly enhanced by improving the internal optics. Internally radiated photons can be directly emitted from the cell, but if confined by good internal reflectors at the front and back of the cell they can also be re-absorbed with a significant probability. This so-called photon recycling leads to an increase in the equilibrium minority carrier concentration and therefore the open-circuit voltage, Voc. In multijunction cells, the internal luminescence from a particular junction can also be coupled into a lower bandgap junction where it generates photocurrent in addition to the externally generated photocurrent, and affects the overall performance of the tandem. We demonstrate and discuss the implications of a detailed model that we have developed for real, non-idealized solar cells that calculates the external luminescent efficiency, accounting for wavelength-dependent optical properties in each layer, parasitic optical and electrical losses, multiple reflections within the cell and isotropic internal emission. The calculation leads to Voc, and we show data on high quality GaAs cells that agree with the trends in the model as the optics are systematically varied. For multijunction cells the calculation also leads to the luminescent coupling efficiency, and we show data on GaInP/GaAs tandems where the trends also agree as the coupling is systematically varied. In both cases, the effects of the optics are most prominent in cells with good material quality. The model is applicable to any solar cell for which the optical properties of each layer are well-characterized, and can be used to explore a wide phase space of design for single junction and multijunction solar cells.

Detección de azúcares en vinos y mostos mediante espectrofotometría en NIR.

En el proceso de vinificación un aspecto de vital importancia es el control periódico de la concentración de azúcares durante la etapa de fermentación del mosto. Los métodos tradicionales de análisis en laboratorio, si bien son suficientemente precisos, conllevan un importante gasto de material y tiempo, y sólo proporcionan medidas discretas a lo largo del proceso de fermentación. En investigaciones recientes se ha aplicado el NIR espectrofotometría en el infrarrojo cercano a la predicción de los azúcares en distintos productos agrícolas (Bellón, V. l993, en manzanas; Barreiro. P. 1996, en tomates. El objetivo de este trabajo fue el desarrollo de un modelo de estimación del contenido de azúcares disueltos en el mosto, y el establecimiento de un sistema de predicción de la evolución de la fermentación. Mediante un espectrofotómetro con detector en el área del infrarrojo cercano (NIR) y un la medida de la transmisión de luz conducida por fibras ópticas, se adquirieron los datos espectrales de los mostos y vinos en fermentación controlada. Análisis matemáticos y estadísticos posteriores (transformación de los espectros, análisis de componentes principales y regresiones multilineales condujeron al establecimiento del modelo de estimación de los azúcares (con precisión de ±2,5 g/1). Los modelos desarrollados permiten la implantación de un sistema de toma de datos continuo en las cubas de fermentación de una bodega, para el control sistemático en tiempo real del proceso de elaboración del vino.

Experimental and modeling analysis of internal luminescence in III-V solar cells

In high quality solar cells, the internal luminescence can be harnessed to enhance the overall performance. Internal confinement of the photons can lead to an increased open-circuit voltage and short-circuit current. Alternatively, in multijunction solar cells the photons can be coupled from a higher bandgap junction to a lower bandgap junction for enhanced performance. We model the solar cell as an optical cavity and compare calculated performance characteristics with measurements. We also describe how very high luminescent coupling alleviates the need for top-cell thinning to achieve current-matching.

Surface-Assisted Luminescence: The PL Yellow Band and the EL of n-GaN Devices

Although everybody should know thatmeasurements are never performed directly onmaterials but on devices, this is not generally true. Devices are physical systems able to exchange energy and thus subject to the laws of physics, which determine the information they provide. Hence, we should not overlook device effects in measurements as we do by assuming naively that photoluminescence (PL) is bulk emission free fromsurface effects. By replacing this unjustified assumption with a propermodel forGaN surface devices, their yellow band PL becomes surface-assisted luminescence that allows for the prediction of the weak electroluminescence recently observed in n-GaN devices when holes are brought to their surfaces.

Detection of peanut traces in wheat flour through NIR hyperspectral imaging spectroscopy

- NIR Hyperspectral images (1000-2200 nm) allowed the detection of peanut traces down to adulteration percentages 0.01 % - Determination coefficient of R2= 0.946 was found for the quantification of peanut adulteration from 10% to 0.1%. - The obtained results shows the feasibility of using HSI systems for the detection of peanut traces in conjuction with chemical procedures, such as RT-PCR and ELISA to facilitate quality control surveyance on food product processing lines.

Empleo de la espectroscopia VIS NIR para la identificación de trazas de cacahuete en productos alimentarios en polvo

En el mundo existen ciertos grupos de población que muestran una hipersensibilidad a determinados alimentos, y cuya ingestión accidental desencadena, una respuesta del tipo “shock” anafiláctico. Esto ha obligado a las empresas alimentarias a estudiar de forma exhaustiva la gestión del riesgo de todos sus productos. El cacahuete es uno de los principales alérgenos en la industria. La espectroscopia NIR se ha utilizado recientemente para analizar la cantidad total de aceite y ácido grasos en cacahuete intacto (Sudaram y colaboradores, 2012). El objetivo de este trabajo es estudiar métodos no destructivos basados en espectroscopia para la detección de trazas de cacahuete en alimentos en polvo, como complemento al método genético reacción en cadena de la polimerasa en tiempo real (Real Time -PCR) desarrollado por el grupo de investigación TRADETBIO de la UCM, en el marco de colaboración en el Campus de Excelencia Internacional Moncloa. Los materiales utilizados fueron cacahuetes de cinco variedades de origen geográfico distinto y sometidas a diferentes tratamientos, proporcionadas por el Instituto de Materiales de Referencia CE, así como leche en polvo, cacao, harina de trigo, y cacahuete de diferentes marcas comerciales. Para todos ellos, se adquirieron dos series de espectros: en el infrarrojo cercano NIR (896-1686 nm), y los extraídos de imágenes hiperespectrales HIS (400-1000nm). La espectroscopia VIS se mostró sensible a las diferencias en el cacahuete en cuanto a su origen y/o tratamiento, ya que inducen cambios en el color, siendo inviable la separación entre los cacahuetes blanqueados, la leche y la harina en esta región espectral. Las principales diferencias entre los cacahuetes y el resto de ingredientes alimentarios se han encontrado en el rango NIR, específicamente en las longitudes de onda de (1207-1210 nm), relacionadas con una región de absorción de los lípidos. El infrarrojo permite 100% de segregación de cualquier tipo de cacahuete respecto al resto de los ingredientes alimentarios. La espectroscopia NIR combinada con las técnicas de imagen (hiperespectral o multiespectral) podría por tanto, ser aplicado para detectar trazas de cacahuetes en alimentos en polvo, no influyendo su origen y/o tratamiento, ya que es capaz de separar cualquier cacahuete del resto de los ingredientes alimentarios. Este método podría ser una técnica de cribado previo al método PCR de elevado coste.

Elimination of variability sources in NIR spectra for the determination of fat content in olive fruits

Models for prediction of oil content as percentage of dried weight in olive fruits were comput- ed through PLS regression on NIR spectra. Spectral preprocessing was carried out by apply- ing multiplicative signal correction (MSC), Sa vitzky–Golay algorithm, standard normal variate correction (SNV), and detrending (D) to NIR spectra. MSC was the preprocessing technique showing the best performance. Further reduction of variability was performed by applying the Wold method of orthogonal signal correction (OSC). The calibration model achieved a R 2 of 0.93, a SEPc of 1.42, and a RPD of 3.8. The R 2 obtained with the validation set remained 0.93, and the SEPc was 1.41.

VIS/NIR spectral signature for the identification of peanut contamination of powder foods

Visible-near infrared reflectance spectra are proposed for the characterization of IRMM 481 peanuts variety in comparison to powder food materials: wheat flour, milk and cocoa. Multidimensional analysis of reflectance spectra of powder samples shows a specific NIR band centred at 1200 nm that identifies peanut compared to the rest of food ingredients, regardless compaction level and temperature. Spectral range of 400-1000 nm is not robust for identification of blanched peanut. The visible range has shown to be reliable for the identification of pre-treatment and processing of unknown commercial peanut samples. A spectral index is proposed based on the combination of three wavelengths around 1200 nm that is 100% robust against pre-treatment (raw or blanched) and roasting (various temperatures and treatment duration).

Application of Independent Components Analysis with the JADE algorithm and NIR hyperspectral imaging for revealing food adulteration

In recent years, Independent Components Analysis (ICA) has proven itself to be a powerful signal-processing technique for solving the Blind-Source Separation (BSS) problems in different scientific domains. In the present work, an application of ICA for processing NIR hyperspectral images to detect traces of peanut in wheat flour is presented. Processing was performed without a priori knowledge of the chemical composition of the two food materials. The aim was to extract the source signals of the different chemical components from the initial data set and to use them in order to determine the distribution of peanut traces in the hyperspectral images. To determine the optimal number of independent component to be extracted, the Random ICA by blocks method was used. This method is based on the repeated calculation of several models using an increasing number of independent components after randomly segmenting the matrix data into two blocks and then calculating the correlations between the signals extracted from the two blocks. The extracted ICA signals were interpreted and their ability to classify peanut and wheat flour was studied. Finally, all the extracted ICs were used to construct a single synthetic signal that could be used directly with the hyperspectral images to enhance the contrast between the peanut and the wheat flours in a real multi-use industrial environment. Furthermore, feature extraction methods (connected components labelling algorithm followed by flood fill method to extract object contours) were applied in order to target the spatial location of the presence of peanut traces. A good visualization of the distributions of peanut traces was thus obtained