Strong Fluorescent Smart Organogel as a Dual Sensing Material for Volatile Acid and Organic Amine Vapors

2015 ◽  
Vol 21 (48) ◽  
pp. 17508-17515 ◽  
Author(s):  
Pengchong Xue ◽  
Boqi Yao ◽  
Panpan Wang ◽  
Peng Gong ◽  
Zhenqi Zhang ◽  
...  
Keyword(s):  
Volatile Acid ◽  
Organic Amine ◽  
Sensing Material ◽  
Dual Sensing

Novel difluoroboron complexes of curcumin analogues as “dual-dual” sensing materials for volatile acid and amine vapors

2020 ◽  
Vol 179 ◽  
pp. 108406 ◽  
Author(s):  
Ziyong Li ◽  
Yufei Song ◽  
Zhiqiang Lu ◽  
Zixu Li ◽  
Rong Li ◽  
...  
Keyword(s):  
Volatile Acid ◽  
Curcumin Analogues ◽  
Dual Sensing

Continuous multi-channel sensing of volatile acid and organic amine gases using a fluorescent self-assembly system

2019 ◽  
Vol 7 (1) ◽  
pp. 133-142 ◽  
Author(s):  
Xinhua Cao ◽  
Qianqian Ding ◽  
Yiran Li ◽  
Aiping Gao ◽  
Xueping Chang
Keyword(s):  
Self Assembly ◽  
Assembly System ◽  
Volatile Acid ◽  
Organic Amine ◽  
Channel Sensing ◽  
System P

A new gelator was designed and synthesized which could detect volatile acid and organic amine in multi-channel.

A dual response organogel system based on an iridium complex and a Eu(iii) hybrid for volatile acid and organic amine vapors

Soft Matter ◽  
2017 ◽  
Vol 13 (20) ◽  
pp. 3802-3811 ◽  
Author(s):  
Xinhua Cao ◽  
Na Zhao ◽  
Guodong Zou ◽  
Aiping Gao ◽  
Qianqian Ding ◽  
...  
Keyword(s):  
Iridium Complex ◽  
Volatile Acid ◽  
Organic Amine ◽  
Dual Response

A supramolecular self-assembly material based on a quinoline derivative and its sensitive response toward volatile acid and organic amine vapors

2018 ◽  
Vol 42 (8) ◽  
pp. 6305-6314 ◽  
Author(s):  
Xinhua Cao ◽  
Qianqian Ding ◽  
Aiping Gao ◽  
Yiran Li ◽  
Xueping Chang ◽  
...  
Keyword(s):  
Self Assembly ◽  
Quinoline Derivative ◽  
Volatile Acid ◽  
Organic Amine

A new gelator 1, containing a quinoline group, was designed, synthesized, and fully characterized.

Stabilization of Organic Carbon and Nitrogen in Consolidating Benthal Deposits

1985 ◽  
Vol 17 (6-7) ◽  
pp. 929-940 ◽  
Author(s):  
C. W. Bryant ◽  
L. G. Rich
Keyword(s):  
Organic Carbon ◽  
Model Verification ◽  
Volatile Acid ◽  
Free Energies ◽  
Organic Loading ◽  
Carbon And Nitrogen ◽  
Loading Rates ◽  
Degradation Reactions ◽  
The Individual ◽  
Organic Deposits

The objective of this research was to develop and validate a predictive model of the benthal stabilization of organic carbon and nitrogen in deposits of waste activated sludge solids formed at the bottom of an aerated water column, under conditions of continual deposition. A benthal model was developed from a one-dimensional, generalized transport equation and a set of first-order biological reactions. For model verification, depth profiles of the major interstitial carbon and nitrogen components were measured from a set of deposits formed in the laboratory at 20°C and a controlled loading rate. The observed sequence of volatile acid utilization in each benthal deposit was that which would be predicted by the Gibbs free energies of the individual degradation reactions and would be controlled by the reduction in interstitial hydrogen partial pressure with time. Biodegradable solids were solubilized rapidly during the first three weeks of benthal retention, but subsequent solubilization occurred much more slowly. The benthal simulation effectively predicted the dynamics of consolidating, organic deposits. Simulation of organic loading rates up to 250 g BVSS/(m2 day) indicated that the stabilization capacity of benthal deposits was far above the range of organic loading rates currently used in lagoon design.

A Mathematical Model for the Anaerobic Digestion Process Applied to a Mixture of Night Soil and Septic Tank Sludge

1986 ◽  
Vol 18 (7-8) ◽  
pp. 239-248 ◽  
Author(s):  
Sung Ryong Ha ◽  
Dwang Ho Lee ◽  
Sang Eun Lee
Keyword(s):  
Mathematical Model ◽  
Anaerobic Digestion ◽  
Biomass Concentration ◽  
Gas Production ◽  
Septic Tank ◽  
Volatile Acid ◽  
Hydraulic Residence Time ◽  
Anaerobic Digestion Process ◽  
Digestion Process ◽  
Proposed Model

Laboratory scale experiments were conducted to develop a mathematical model for the anaerobic digestion of a mixture of night soil and septic tank sludge. The optimum mixing ratio by volume between night soil and septic tank sludge was found to be 7:3. Due to the high solids content in the influent waste, mixed-liquor volatile suspended solids (MLVSS) was not considered to be a proper parameter for biomass concentration, therefore, the active biomass concentration was estimated based on deoxyribonucleic acid (DNA) concentration in the reactor. The weight ratio between acidogenic bacteria and methanogenic bacteria in the mixed culture of a well-operated anaerobic digester was approximately 3:2. The proposed model indicates that the amount of volatile acid produced and the gas production rate can be expressed as a function of hydraulic residence time (HRT). The kinetic constants of the two phases of the anaerobic digestion process were determined, and a computer was used to simulate results using the proposed model for the various operating parameters, such as BOD5 and volatile acid concentrations in effluent, biomass concentrations and gas production rates. These were consistent with the experimental data.

scholarly journals Optimization of a Low-Power Chemoresistive Gas Sensor: Predictive Thermal Modelling and Mechanical Failure Analysis

Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 783 ◽  
Author(s):  
Andrea Gaiardo ◽  
David Novel ◽  
Elia Scattolo ◽  
Michele Crivellari ◽  
Antonino Picciotto ◽  
...  
Keyword(s):  
Low Power ◽  
Failure Analysis ◽  
Gas Sensors ◽  
High Performance ◽  
Gas Sensing ◽  
Mechanical Failure ◽  
Sensing Applications ◽  
Theoretical Approaches ◽  
Sensing Material ◽  
Silicon Bulk

The substrate plays a key role in chemoresistive gas sensors. It acts as mechanical support for the sensing material, hosts the heating element and, also, aids the sensing material in signal transduction. In recent years, a significant improvement in the substrate production process has been achieved, thanks to the advances in micro- and nanofabrication for micro-electro-mechanical system (MEMS) technologies. In addition, the use of innovative materials and smaller low-power consumption silicon microheaters led to the development of high-performance gas sensors. Various heater layouts were investigated to optimize the temperature distribution on the membrane, and a suspended membrane configuration was exploited to avoid heat loss by conduction through the silicon bulk. However, there is a lack of comprehensive studies focused on predictive models for the optimization of the thermal and mechanical properties of a microheater. In this work, three microheater layouts in three membrane sizes were developed using the microfabrication process. The performance of these devices was evaluated to predict their thermal and mechanical behaviors by using both experimental and theoretical approaches. Finally, a statistical method was employed to cross-correlate the thermal predictive model and the mechanical failure analysis, aiming at microheater design optimization for gas-sensing applications.

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