Determination of water content in municipal sludge by multiple headspace extraction gas chromatography

A critical review of in-situ moisture distribution detection and characterization techniques utilizing deep dewatering for organic waste

Deep dewatering is crucial for effectively reducing the volume of organic waste and facilitating its downstream transportation and disposal. An in-depth understanding of the occurrence states, composition, and morphological characteristics of moisture in organic waste is the basis for optimizing the dewatering process, improving dewatering efficiency, and reducing energy consumption. Given the common problems of time-consuming, low sensitivity, and poor parallelism of traditional methods, this work reviews the advanced in-situ analysis methods for moisture distribution of organic waste. The Raman microscopy imaging technique is highlighted to provide a new approach for visualizing the spatial distribution of moisture with different binding strengths in solid flocs. Various physical, chemical, and biological characteristics and characterization methods of organic waste related to deep dewatering are introduced, and they are correlated with conditioning methods. Almost all conditioning will cause changes in the physical characteristics of organic waste, while the improvement of dewatering performance is actually caused by changes in the chemical composition and biological characteristics of the matrix, and these characteristics are intrinsically related to the moisture distribution. The characterization and in-situ moisture detection methods presented in this work aim to support future studies in understanding changes in material composition related to improving dewatering performance and further clarifying the mechanisms of deep dewatering of organic wastes.

Determination of the water vapor transmission rate of cellulose-based papers by multiple headspace extraction analysis

This paper presents a multiple headspace extraction (MHE) analysis technique to determine the water vapor transmission rate of cellulose-based papers. The water vapor passing through the sample in a closed headspace vial is determined by MHE-gas chromatography. The results show that the employed method offers good precision (the relative standard deviation < 3.49 %) and good accuracy. The method is rapid and accurate, and is promising for the determination of the water vapor transmission rate of cellulose-based papers in future studies.

Simultaneous Determination of Amphiphobicities of Material Surface by A Dual-Indicator Headspace Gas Chromatography

This paper reports on a new method for simultaneously determining the amphiphobicities of material surface by a dual-indicator assisted headspace gas chromatography. After adding 40 μL of both methanol-water and toluene-oil droplets on the sample surface for 20 s, the sample was turned vertically (to remove water and oil) and then placed in a headspace vial. The amount of methanol and toluene in the residual water and oil adhered to material surface was quantified using headspace gas chromatography. The results showed that the method has good measurement precision (RSD < 4.58%). It can be an effective tool for simultaneously determining the amphiphobicities of material surface.