Authors:A. Vaskó, P. Siró, I. László, Sz. Szatmári, L. Molnár, Béla Fülesdi, and Cs. Molnár
spectroscopy as an index of brain and tissue oxygenation. Br. J. Anaesth. 103 (Suppl. 1.), i3–i13 (2009)
Near-infraredspectroscopy as an index of brain and tissue oxygenation
Br. J. Anaesth.
Authors:C. Bolduan, J. Montes, B. Dhillon, V. Mirdita, and A. Melchinger
Ear rots of maize caused by
spp. reduce grain yield and produce mycotoxins, which are harmful to humans and animals. To breed maize cultivars resistant to
spp., reliable large-scale phenotyping is essential. Our objectives were to (i) examine the precision of the ELISA method for determination of important mycotoxins, namely deoxynivalenol (DON) and fumonisins (FUM), (ii) evaluate the potential of near-infrared reflectance spectroscopy (NIRS) to estimate concentrations of DON and FUM in grain produced in inoculated maize plants, and (iii) compare the efficiency of ELISA, NIRS, and visual rating of disease severity for estimation of mycotoxin concentrations. Insignificant variation was observed between duplicate evaluations of DON and FUM by ELISA, showing the high repeatability of this method. DON and FUM determinations by ELISA were more closely correlated with mycotoxin concentrations predicted through NIRS than with visual rating of disease severity. For the prediction of DON, NIRS had very high magnitude of the coefficients of determination of calibration and cross validation (R
= 0.90–0.88). Thus, NIRS has a promising potential to predict DON concentration in grain samples of inoculated maize genotypes evaluated in resistance breeding programs.
Authors:Marina Vranić, Mladen Knežević, Zsolt Seregély, Krešimir Bošnjak, Josip Leto, and Goran Perčulija
Blanco, M., Coello, J., Iturriaga, H., Maspoch, S., Gonzalez, R. (1998) Determination of water in lubricating oils by mid- and near-infraredspectroscopy. Microchim. Acta 128: 235.
Determination of water in lubricating oils by
Authors:Zsanett Bodor, Fanni Adrienn Koncz, Mahmoud Said Rashed, Timea Kaszab, Zoltan Gillay, Csilla Benedek, and Zoltan Kovacs
People have recently started to pay more attention to the healthier lifestyle, which also includes the consumption of more natural and less processed food products. Honey as one of the most often used natural sweeteners has also been reconsidered and more commonly used. However, honey has also been the target of food adulteration due to its emerging use and relatively high price. Therefore, there is an increasing need to develop rapid evaluation methods for the identification of honey from different sources. Experiments have been performed with 79 authentic honey samples of different floral and geographical origins, mainly from Hungary. The standard analytical parameters used to characterize the nutritional values of honey such as antioxidant capacity, polyphenol content, ash content, pH, conductivity have been determined. The samples were also analyzed with a benchtop near infrared (NIR) spectrometer to record their NIR spectra. The data acquired with NIR spectroscopy measurements were evaluated with various univariate and multivariate statistical methods. Results gained with a limited sample set show that NIR spectroscopy might be useful for the identification of floral and geographical origin of honey samples. Further experiments are proposed to build a robust database, which could support the use of NIR spectroscopy as a quick alternative for honey authentication.
Authors:N. Hoeller, N. Baik-Schneditz, B. Schwaberger, L. Mileder, B. Urlesberger, and G. Pichler
Introduction Near-infraredspectroscopy (NIRS) measurements of cerebral and peripheral tissue oxygenation in critically ill neonates for detection of early stages of shock are of increasing clinical interest. Early cardio-circulatory signs of
intramuscular metabolic stress during exercise [ 10–13 ]. Near-infraredspectroscopy (NIRS) allows for non-invasive evaluation of the oxygenation level (a dynamic balance between oxygen supply and utilization) within the localized region of a specific muscle by