Classification of Spanish unifloral honeys by discriminant analysis of electrical conductivity, color, water content, sugars, and pH

To ascertain the most discriminant variables for seven types of Spanish commercial unifloral honeys, stepwise discriminant analysis was performed. Fifteen parameters [pH; water content; electrical conductivity; x, y, and L, chromatic coordinates from the CIE-1931 (xyL) color space; fructose; glucose; sucrose; maltose; isomaltose; maltulose; kojibiose; and the fructose/glucose and glucose/water ratios] were considered. The studied honey types were rosemary, citrus, lavender, sunflower, eucalyptus, heather, and forest. The most discriminant variables, as selected by the multivariate program, were electrical conductivity, color (x, y, L), water content, fructose, and sucrose. All sunflower, eucalyptus, and honeydew honey samples and >90% of the samples from the remaining honey types were correctly classified by using the classification functions devised by the program. The overall proportion of accurately arranged samples was 95.7%. Results were validated by the "jackknifed" procedure and showed that electrical conductivity, color, water content, fructose, and sucrose are highly useful parameters to classify unifloral honeys, although microscopical analysis of honey sediment remains the fundamental tool

On-line database of voltammetric data of immobilized particles for identifying pigments and minerals in archaeometry, conservation and restoration (ELCHER database)

[EN] A web-based database of voltammograms is presented for characterizing artists' pigments and corrosion products of ceramic, stone and metal objects by means of the voltammetry of immobilized particles methodology. Description of the website and the database is provided. Voltammograms are, in most cases, accompanied by scanning electron microphotographs, X-ray spectra, infrared spectra acquired in attenuated total reflectance Fourier transform infrared spectroscopy mode (ATR-FTIR) and diffuse reflectance spectra in the UV-Vis-region. For illustrating the usefulness of the database two case studies involving identification of pigments and a case study describing deterioration of an archaeological metallic object are presented. (C) 2016 Elsevier B.V. All rights reserved.Research was conducted within the "Grupo de analisis cientifico de bienes culturales y patrimoniales y estudios de ciencia de la conservacion" Microcluster of the University of Valencia Excellence Campus. Financial support is gratefully acknowledged from the MINECO Projects CTQ2014-53736-C3-1-P and CTQ2014-53736-C3-2-P which are also supported with ERDF funds. The authors would like to thank to Gonzalo Girones Sarrio manager of GongDisseny Co. by the technical support for building the site structure and the structure of the database, Archbishop of Valencia, Dr. Ignacio Bosch Reig and Dr. Pilar Roig Picazo directors of the intervention project in the Basilica de la Virgen de los Desamparados de Valencia, the conservator Estrella Arcos Von Haartman (Quibla Restaura Company) and City Council Town of Malaga, the Museum of Archaeology of Xativa, its director Angel Velasco and the conservators Isabel Martinez Lazaro and Betlem Martinez for facilitating access to samples as well as Manuel Planes Insausti and Dr Jose Luis Moya Lopez technical supervisors of the Electron Microscopy Service of the Universitat Politecnica de Valencia where were carried out SEM-EDX analyses.Domenech-Carbo, A.; Domenech Carbo, MT.; Valle-Algarra, FM.; Gimeno-Adelantado, J.; Osete Cortina, L.; Bosch-Reig, F. (2016). On-line database of voltammetric data of immobilized particles for identifying pigments and minerals in archaeometry, conservation and restoration (ELCHER database). Analytica Chimica Acta. 927:1-12. https://doi.org/10.1016/j.aca.2016.04.052S11292

ANÁLISIS QUÍMICO INSTRUMENTAL ULTRAVIOLETA-VISIBLE E INFRARROJO APLICADO AL PATRIMONIO CULTURAL. UN ENFOQUE PRÁCTICO

Esta publicación surge como consecuencia del interés en proporcionar una herramienta práctica, tanto a estudiantes como profesionales, conservadores restauradores del Patrimonio cultural, para que sea utilizada en la identificación de los componentes constituyentes de las obras de arte mediante las técnicas instrumentales de Espectrofotometría UV Vis y Espectrometría FTIR. Para ello, se han desglosado los contenidos en tres unidades. En la primera unidad se presenta a grandes rasgos la clasificación de las distintas técnicas analíticas en función de la región del espectro electromagnético en la que absorben o emiten las muestras orgánicas o inorgánicas, indicando la información que proporcionan, � Las dos unidades siguientes, se focalizan en la descripción de las técnicas instrumentales de Espectrofotometría UV Vis y Espectrometría FTIR. Se describe el fundamento teórico, el equipamiento, y se facilitan unas tablas de asignación de bandas de los distintos enlaces químicos de los compuestos. Finalmente, se presentan algunos espectros de materiales que de manera habitual integran las obras de arte.Bosch Reig, F.; Yusa Marco, DJ. (2015). ANÁLISIS QUÍMICO INSTRUMENTAL ULTRAVIOLETA-VISIBLE E INFRARROJO APLICADO AL PATRIMONIO CULTURAL. UN ENFOQUE PRÁCTICO. Editorial Universitat Politècnica de València. http://hdl.handle.net/10251/67082EDITORIA

ATR-FTIR and XRD quantification of solid mixtures using the asymptotic constant ratio (ACR) methods. Application to geological samples of sodium and potassium feldspars

Two asymptotic constant ratio methods applied to the quantification of individual components of solid samples using attenuated total reflectance-Fourier transform infrared spectroscopy (ATR-FTIR) and X-ray diffraction (XRD) are described. The methods involve the measurement of the peak current/peak areas of selected signals (diffraction peaks in XRD and absorption bands in ATR-FTIR) relative to the signal of standard added in constant proportion to the sample and the sample enriched with the analyte following the usual standard additions methodology. The proposed method compensates the absorption effects appearing in XRD and the presence of overlapping absorption bands of interferents by means of an asymptotic representation thus avoiding the need of the knowledge of the absorption parameters of the matrix and analytes. The method was tested for mixtures of different metal oxides and sodium and potassium feldspars with satisfactory result

The Combined Immunohistochemical Expression of GLI1 and BCOR in Synovial Sarcomas for the Identification of Three Risk Groups and Their Prognostic Outcomes: A Study of 52 Patients

Synovial sarcoma (SS) is a rare soft-tissue tumor characterized by a monomorphic blue spindle cell histology and variable epithelial differentiation. Morphologically, SSs may be confused with other sarcomas. Systemic treatment is more effective for patients with high-risk SSs, patients with advanced disease, and younger patients. However, further studies are required to find new prognostic biomarkers. Herein, we describe the morphological, molecular, and clinical findings, using a wide immunohistochemical panel, of a series of SS cases. We studied 52 cases confirmed as SSs by morphological diagnosis and/or molecular studies. Clinical data (gender, age, tumor size, tumor location, resection margins, adjuvant treatment, recurrences, metastasis, and survival) were also retrieved for each patient. All the available H&E slides were examined by four pathologists. Three tissue microarrays (TMAs) were constructed for each of the tumors, and a wide immunohistochemical panel was performed. For time-to-event variables, survival analysis was performed using Kaplan–Meier curves and log-rank testing, or Cox regression. Statistical significance was considered at p < 0.05. The mean age of our patients was 40.33, and the median was 40.5 years. We found a predominance of males versus females (1.7:1). The most frequent morphological subtype was monophasic. TRPS1, SS18-SSX, and SSX-C-terminus were positive in 96% of cases. GLI1 expression was strong in six and focal (cytoplasmic) in twenty patients. Moreover, BCOR was expressed in more than half of SSs. Positive expression of both proteins, BCOR and GLI1, was correlated with a worse prognosis. Multivariate analysis was also performed, but only BCOR expression appeared to be significant. The combination of GLI1 and BCOR antibodies can be used to group SSs into three risk groups (low, intermediate, and high risk). We hypothesize that these findings could identify which patients would benefit from receiving adjuvant treatment and which would not. Moreover, these markers could represent therapeutic targets in advanced stages. However, further, larger series of SSs and molecular studies are necessary to corroborate our present findings

The Combined Immunohistochemical Expression of GLI1 and BCOR in Synovial Sarcomas for the Identification of Three Risk Groups and Their Prognostic Outcomes: A Study of 52 Patients

Author Contributions: F.G., E.M.-C., I.M. and A.L.-B.: research design, performance, literature search, and manuscript writing. R.L.-R. and J.A.L.-G.: statistical analysis and manuscript writing. L.A.R.-M. and M.E.: technical support and manuscript writing. F.G., E.M.-C., S.N. and E.M.-A.: search conduction of clinical reports and manuscript writing. All authors have read and agreed to the published version of the manuscript.Synovial sarcoma (SS) is a rare soft-tissue tumor characterized by a monomorphic blue spindle cell histology and variable epithelial differentiation. Morphologically, SSs may be confused with other sarcomas. Systemic treatment is more effective for patients with high-risk SSs, patients with advanced disease, and younger patients. However, further studies are required to find new prognostic biomarkers. Herein, we describe the morphological, molecular, and clinical findings, using a wide immunohistochemical panel, of a series of SS cases. We studied 52 cases confirmed as SSs by morphological diagnosis and/or molecular studies. Clinical data (gender, age, tumor size, tumor location, resection margins, adjuvant treatment, recurrences, metastasis, and survival) were also retrieved for each patient. All the available H&E slides were examined by four pathologists. Three tissue microarrays (TMAs) were constructed for each of the tumors, and a wide immunohistochemical panel was performed. For time-to-event variables, survival analysis was performed using Kaplan–Meier curves and log-rank testing, or Cox regression. Statistical significance was considered at p < 0.05. The mean age of our patients was 40.33, and the median was 40.5 years. We found a predominance of males versus females (1.7:1). The most frequent morphological subtype was monophasic. TRPS1, SS18-SSX, and SSX-C-terminus were positive in 96% of cases. GLI1 expression was strong in six and focal (cytoplasmic) in twenty patients. Moreover, BCOR was expressed in more than half of SSs. Positive expression of both proteins, BCOR and GLI1, was correlated with a worse prognosis. Multivariate analysis was also performed, but only BCOR expression appeared to be significant. The combination of GLI1 and BCOR antibodies can be used to group SSs into three risk groups (low, intermediate, and high risk). We hypothesize that these findings could identify which patients would benefit from receiving adjuvant treatment and which would not. Moreover, these markers could represent therapeutic targets in advanced stages. However, further, larger series of SSs and molecular studies are necessary to corroborate our present findings.Medicin