Characterization of Total-Phosphorus (TP) Pretreatment Microfluidic Chip Based on a Thermally Enhanced Photocatalyst for Portable Analysis of Eutrophication

To minimize conventional total-phosphorus (TP) analysis systems, TP pretreatment microfluidic chip is proposed and characterized in this paper. Phosphorus (P) is one of the most important elements in ecosystem but it causes the eutrophication due to its overdose. TP analysis systems are increasingly receiving attention as a means to prevent eutrophication. Even though conventional TP analysis systems have high accuracy and sensitivity, they are not frequently utilized outside the laboratory because of their bulky size, complicated pretreatment processes, long response times, and high cost. Thus, there is a growing need to develop portable TP analysis systems. The microfluidic chip in this study is proposed with the aim of simplifying and minimizing TP analysis by replacing the conventional pretreatment process with a new method employing a thermally enhanced photocatalytic reaction that can be applied directly to a microfluidic chip of small size. The fabricated TP pretreatment microfluidic chip with thermally enhanced photocatalyst (TiO2) was optimized compared to the conventional pretreatment equipment (autoclave). The optimum pretreatment conditions using the proposed chip were pretreatment time of 10 min and temperature of 75 °C. The optimized pretreatment process using the proposed microfluidic chip showed similar performance to the conventional pretreatment method, even with shorter pretreatment time. The shorter pretreatment time and small size are advantages that enable the TP analysis system to be minimized. Therefore, the proposed TP pretreatment microfluidic chip based on thermally enhanced photocatalytic reaction in this study will be utilized to develop a portable TP analysis system.

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INFORMATION ANALYSIS SYSTEM PROVIDING HIGH-ACCURACY FORECASTING OF ORGANIC SOLVENTS FLAMMABILITY IN CHROMATOGRAPHY AND INDUSTRIAL USE

Fire and Emergencies prevention elimination ◽

10.25257/fe.2016.4.65-70 ◽

2016 ◽

Vol 4 ◽

pp. 65-70

Author(s):

Andrei Plaksitsky ◽

◽

Andrei Isaev ◽

Andrei Kalach ◽

◽

...

Keyword(s):

Organic Solvents ◽

High Accuracy ◽

Information Analysis ◽

Industrial Use ◽

Analysis System

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PMD Characterization of a Dispersion Managed Link up to the Second-order with High Accuracy

Optical and Quantum Electronics ◽

10.1007/s11082-006-0001-1 ◽

2006 ◽

Vol 38 (7) ◽

pp. 575-582

Author(s):

O. M. Diaz ◽

J. Prat ◽

I. Tafur Monroy ◽

H. de Waardt

Keyword(s):

High Accuracy ◽

Second Order

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Synthesis and Characterization of Foamed Cassava Starch Material

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.262.405 ◽

2012 ◽

Vol 262 ◽

pp. 405-409

Author(s):

Yang Liu ◽

Shan Shan Li ◽

Xin Yan Yang ◽

Chong Xing Huang

Keyword(s):

Reaction Time ◽

Cassava Starch ◽

Synthesis And Characterization ◽

Compression Stress ◽

Static Compression ◽

Foaming Agent ◽

New Type ◽

Analysis System ◽

Central Composite

A new-type foam composites were fabricated by baking method from a mixture of cassava starch. A central composite design was constructed using the software Statistics Analysis System 9.0 to evaluate the static compression stress of foamed material. The optimum dosages of adhesive, foaming agent, catalyst were 2.0g, 6.0g, 2.4g, respectively; reaction temperature 65°C; reaction time 16 hour.

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High-accuracy individual identification using a “thin slice” of the functional connectome

Network Neuroscience ◽

10.1162/netn_a_00068 ◽

2019 ◽

Vol 3 (2) ◽

pp. 363-383 ◽

Cited By ~ 12

Author(s):

Lisa Byrge ◽

Daniel P. Kennedy

Keyword(s):

High Accuracy ◽

Individual Identification ◽

Brain Functioning ◽

Replication Sample ◽

Thin Slice ◽

Functional Connections ◽

Random Samples ◽

Human Connectome Project ◽

Independent Replication

Connectome fingerprinting—a method that uses many thousands of functional connections in aggregate to identify individuals—holds promise for individualized neuroimaging. A better characterization of the features underlying successful fingerprinting performance—how many and which functional connections are necessary and/or sufficient for high accuracy—will further inform our understanding of uniqueness in brain functioning. Thus, here we examine the limits of high-accuracy individual identification from functional connectomes. Using ∼3,300 scans from the Human Connectome Project in a split-half design and an independent replication sample, we find that a remarkably small “thin slice” of the connectome—as few as 40 out of 64,620 functional connections—was sufficient to uniquely identify individuals. Yet, we find that no specific connections or even specific networks were necessary for identification, as even small random samples of the connectome were sufficient. These results have important conceptual and practical implications for the manifestation and detection of uniqueness in the brain.

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A study on alkali pretreatment conditions of sorghum stem for maximum sugar recovery using statistical approach

Chemical Industry and Chemical Engineering Quarterly ◽

10.2298/ciceq120826008n ◽

2014 ◽

Vol 20 (2) ◽

pp. 261-271 ◽

Cited By ~ 6

Author(s):

Maryam Nikzad ◽

Kamyar Movagharnejad ◽

Farid Talebnia ◽

Ghasem Najafpour ◽

Farahi Hosein

Keyword(s):

Sorghum Bicolor ◽

Alternative Energy ◽

Solid Loading ◽

Bioethanol Production ◽

Alkali Pretreatment ◽

Model Predictions ◽

Pretreatment Time ◽

Pretreatment Conditions ◽

Energy Production System ◽

Central Composite

Bioethanol production from lignocellulosic biomass provides an alternative energy-production system. Sorghum bicolor stem is a cheap agro-waste for bioethanol production. In this study, response surface methodology (RSM) was used to optimize alkali pretreatment conditions for sorghum bicolor stem with respect to substrate concentration, NaOH concentration and pretreatment time based on a central composite rotary design. The main goal was to achieve the highest glucose and xylose yields after enzymatic hydrolysis. Under optimum conditions of pretreatment i.e. time 60.4 min, solid loading 4.2%, and NaOH concentration 1.7%, yields of 98.94% g glucose/g cellulose and 65.14% g xylose/g hemicelluloses were obtained. The results of a confirmation experiment under the optimal conditions agreed well with model predictions. Pretreatment of sorghum bicolor stem at the optimum condition increased the glucose and xylose yields by 7.14 and 3.02 fold, respectively. Alkali pretreatment showed to be a great choice for the pretreatment of sorghum bicolor stem.

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Utilisation d'une ligne de microphotodiodes en spectroscopie dispersive : application à la détection du NO2

Canadian Journal of Physics ◽

10.1139/p83-040 ◽

1983 ◽

Vol 61 (2) ◽

pp. 301-304 ◽

Cited By ~ 3

Author(s):

Jacques Bures ◽

François Leonard ◽

Jean-Pierre Monchalin

Keyword(s):

Absorption Spectrum ◽

Systematic Errors ◽

Sufficient Information ◽

Atmospheric Pollutant ◽

Spatial Frequencies ◽

Low Pass ◽

On Line ◽

Photodiode Array ◽

Analysis System

A self-scanned photodiode array has been used as a multiplex sensor for laboratory detection and measurement, by dispersive spectroscopy, of trace quantities of the atmospheric pollutant NO2. The on-line data acquisition and numerical analysis system allows in particular to eliminate some systematic errors and drifts (Taylor filtering) and the noise associated with high spatial frequencies (low-pass filtering). We have then been able to show that an absorption spectrum, corresponding to low absorber concentrations, has a sufficient information content for the characterization of the pollutant and the measurement of its concentration (ppm m), even when noise and drifts are present. The proposed system can be favorably compared to the ones, based on a single photoelectric detector, which are commercially used.

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