An asymmetric high serial rate TDM-PON with single carrier 25 Gb/s upstream and 50 Gb/s downstream

We report a 2:1 rate asymmetric high serial rate time division multiplexing passive optical network (TDM-PON) with single carrier 25 Gb/s upstream and 50 Gb/s downstream. In the upstream, we present a first 25 Gb/s three-level modulated burst-mode receiver employing a 1/4-rate linear burst-mode avalanch photodiode transimpedance amplifier and a custom decoder IC. We successfully demonstrated burst-mode sensitivity of -20.4 dBm with 18 dB dynamic burst-to-burst for 25 Gb/s upstream links. In another direction, a downstream in upper O-band is proposed and demonstrated with three-level duo-binary modulation at 50 Gb/s in real time. The upstream and downstream transmission experiments show that the proposed asymmetric 50 G/25 G high serial rate TDM-PON can support >= 32 users while covering more than 20 km reach

Raman spectroscopy coupled to blind source separation methods for deformulation of surfactant mixtures

Raman spectroscopy coupled to blind source separation methods for deformulation of surfactant mixtures. Euroanalysis 18

Interest of blind source separation methods for surfactant mixture deformulation

Interest of blind source separation methods for surfactant mixture deformulation. Chimiométrie 16

A 40-Gb/s transimpedance amplifier for optical links

This letter presents a low-power transimpedance amplifier (TIA), supporting both 25 and 40-Gb/s communication. It exhibits an optical modulation amplitude sensitivity of -10.6 dBm at 25 Gb/s and -6.4 dBm at 40 Gb/s using a photodiode with a responsivity of 0.55 A/W. The TIA consumes 158 mW from a 2.5 V supply and was manufactured in a 0.13-mu m SiGe BiCMOS process. Compared with the state of the art, the presented TIA exhibits a similar sensitivity (at both 25 and 40 Gb/s), while exhibiting a low power consumption for the 40-Gb/s operation

Early detection of ureteropelvic junction obstruction in neonates with prenatal diagnosis of renal pelvis dilatation using 1H NMR urinary metabolomics

International audienceAbstract Renal pelvis dilatation (RPD) is diagnosed in utero on prenatal ultrasonography (US) and can resolve spontaneously. However, isolated RPD can also reflect ureteropelvic junction obstruction (UPJO), which requires surgical treatment to prevent progressive renal deterioration. The diagnosis of UPJO can only be confirmed after birth with repeat US and renal isotope studies. 1 H Nuclear Magnetic Resonance spectroscopy (NMR) was performed on urine of newborns with prenatally diagnosed unilateral RPD and healthy controls to identify specific urinary biomarkers for UPJO. The original combination of EigenMS normalization and sparse partial-least-squares discriminant analysis improved selectivity and sensitivity. In total, 140 urine samples from newborns were processed and 100 metabolites were identified. Correlation network identified discriminant metabolites in lower concentrations in UPJO patients. Two main metabolic pathways appeared to be impaired in patients with UPJO i.e. amino acid and betaine metabolism. In this prospective study, metabolic profiling of urine samples by NMR clearly distinguishes patients who required surgery for UPJO from patients with transient dilatations and controls. This study will pave the way for the use of metabolomics for the diagnosis of prenatal hydronephrosis in clinical routine

Raman spectroscopy coupled to blind source separation methods for deformulation of surfactant mixtures

Raman spectroscopy coupled to blind source separation methods for deformulation of surfactant mixtures. Euroanalysis 18

Characterization of surfactant complex mixtures using Raman spectroscopy and signal extraction methods: application to laundry detergent deformulation

International audienceThis paper presents the analysis of surfactants in complex mixtures using Raman spectroscopy combined with signal extraction (SE) methods. Surfactants are the most important component in laundry detergents. Both their identification and quantification are required for quality control and regulation purposes. Several synthetic mixtures of four surfactants contained in an Ecolabel laundry detergent were prepared and analyzed by Raman spectroscopy. SE methods, Independent Component Analysis and Multivariate Curve Resolution, were then applied to spectral data for surfactant identification and quantification. The influence of several pre-processing treatments (normalization, baseline correction, scatter correction and smoothing) on SE performances were evaluated by experimental design. By using optimal pre-processing strategy, SE methods allowed satisfactorily both identifying and quantifying the four surfactants. When applied to the pre-processed Raman spectrum of the Ecolabel laundry detergent sample, SE models remained robust enough to predict the surfactant concentrations with sufficient precision for deformulation purpose. Comparatively, a supervised modeling technique (PLS regression) was very efficient to quantify the four surfactants in synthetic mixtures but appeared less effective than SE methods when applied to the Raman spectrum of the detergent sample. PLS seemed too sensitive to the other components contained in the laundry detergent while SE methods were more robust. The results obtained demonstrated the interest of SE methods in the context of deformulation