Enhanced Raman Detection System based on a Hollow-core Fiber Probe design

This paper focus on an enhanced Raman-based detection probe and its performance evaluated. The probe employs a hollow-core fiber design to allow liquid micro-sample to be analyzed. The hollow-core fiber is used both to transmit the light signal used to excite the sample and to collect the Raman scattering signal received from the micro-sample under analysis. In order to maximize the performance of the system, various parameters have been studied experimentally, including the diameter and the height of the liquid sample in the probe. The aim has been optimizing both as a means to enhance the Raman scattering signal received from the liquid sample. As a result, a Raman-based detection probe using a reflector approach was developed and evaluated. This design enabling a greater area for interaction with the sample to be formed and to concentrate the excitation light into it. This then increases the efficiency of the light-liquid interaction and improves the collection efficiently of the forward Raman scattering light signal. With the use of this design, the detected Raman scattering signal was increased by a factor of 103~104 over what otherwise would be achieved. A key feature is that with the use of a hollow-core fiber to collect the liquid sample, only a very small volume is needed, making this well suited to practical applications where limited amounts of material are available e.g. biofluids or high value liquids. The system designed and evaluated thus provides the basis of an effective all-fiber Raman-based detection system, capable of being incorporated into portable analysis equipment for rapid detection and in-the-field use

Recent Progress in Optical Sensors for Biomedical Diagnostics

In recent years, several types of optical sensors have been probed for their aptitude in healthcare biosensing, making their applications in biomedical diagnostics a rapidly evolving subject. Optical sensors show versatility amongst different receptor types and even permit the integration of different detection mechanisms. Such conjugated sensing platforms facilitate the exploitation of their neoteric synergistic characteristics for sensor fabrication. This paper covers nearly 250 research articles since 2016 representing the emerging interest in rapid, reproducible and ultrasensitive assays in clinical analysis. Therefore, we present an elaborate review of biomedical diagnostics with the help of optical sensors working on varied principles such as surface plasmon resonance, localised surface plasmon resonance, evanescent wave fluorescence, bioluminescence and several others. These sensors are capable of investigating toxins, proteins, pathogens, disease biomarkers and whole cells in varied sensing media ranging from water to buffer to more complex environments such as serum, blood or urine. Hence, the recent trends discussed in this review hold enormous potential for the widespread use of optical sensors in early-stage disease prediction and point-of-care testing devices.DFG, 428780268, Biomimetische Rezeptoren auf NanoMIP-Basis zur Virenerkennung und -entfernung mittels integrierter Ansätz

Torque measurement in real time during mixing and kneading of bread dough with high content of resistant maize starch and enzymes

In this work, a methodology to measure torque during dough mixing in large scale was developed and the baking performance of bread dough formulated with resistant starch (RS) and enzymes was evaluated. Dough was formulated with 12.5 g/100 g of RS and 4 mg/100 g of a mixture of enzymes, glucose-oxidase (Gox), tranglutaminase (TG) and xylanase (HE) in proportions according to a three-component mixture design of experiments. Dough was mixed in a large-scale dynamic rheometer measuring instant torque and speed in real time through a personal computer (PC) interface. Maximum torque during mixing and parameters of the dough development curves obtained from rheofermentometer were fit to mathematical models within 95 % of confidence. Gox and TG showed positive effects on the maximum height of dough, while HE showed a negative one. Also, it was found that Gox and TG in the presence of HE could be important for reducing dough weakening.Fil: Altuna, Luz. Universidade de Sao Paulo; BrasilFil: Romano, Roberto C. O.. Universidade de Sao Paulo; BrasilFil: Pileggi, Rafael G.. Universidade de Sao Paulo; BrasilFil: Ribotta, Pablo Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Ciencia y Tecnología de Alimentos Córdoba. Universidad Nacional de Córdoba. Facultad de Ciencias Químicas. Instituto de Ciencia y Tecnología de Alimentos Córdoba; ArgentinaFil: Tadini, Carmen C.. Universidade de Sao Paulo; Brasi

Glucose sensor based on the LUQUEN-principle

A new type of glucose sensor based on luminescence quenching (LUQUEN) is proposed. In this LUQUEN principle the concentration induced quenching is enlarged by radiationless (excited-state) energy transfer within the luminescent material. We describe the integrated optical detection part and the chemo-optical interface, in which the concentration induced optical changes are based on the binding of glucose. Some experiments on the internal energy transfer are reported, and the results are discussed

Modulation of PGC-1α activity as a treatment for metabolic and muscle-related diseases

Physical inactivity is a predisposing factor for various disease states including obesity, cardiovascular disease, as well as for certain types of cancer. Regular endurance exercise mediates several beneficial effects such as increased energy expenditure and improved skeletal muscle function, and has been suggested as a therapeutic strategy for both metabolic and muscle‐related disorders. "Exercise mimetic" is a collective term for compounds that can pharmacologically activate pathways which are normally induced during skeletal muscle contraction, and that could be used in the treatment of metabolic or muscle related diseases. Two such experimental "exercise mimetics" are AICAR and resveratrol, which have both been extensively studied in the context of metabolic dysfunction and muscle wasting in rodent disease models. These compounds have been postulated to activate AMP‐activated protein kinase (AMPK) and sirtuin 1 (SIRT1), respectively, in skeletal muscle, and to increase the activation of the peroxisome proliferator‐activated receptor γ coactivator 1α (PGC‐1α). PGC‐1α can mediate several metabolic and functional adaptations in skeletal muscle in response to physical exercise and is therefore an interesting target for the development of new "exercise mimetic" drugs