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We report a paper-based chemosensor array device (PCSAD) for the quantitative detection of oxyanions including the herbicide glyphosate (GlyP) in aqueous media. The mechanism of the oxyanion detection relies on a coordination-binding-based sensor array. In this study, the competitive coordination binding among Zn2+, four catechol dyes, and seven oxyanions caused noticeable colour changes. The colour changes were employed for qualitative and quantitative analyses using an in-house automated image-processing algorithm with pattern recognition for digital images. A linear discrimination analysis discerned similarly structured oxyanions with 100% accuracy. The regression analysis allowed the accurate quantification of GlyP in the herbicide products with a limit of detection of 16 mg/L, which is lower than the health advisory value for children (20 mg/L) stipulated by the environmental protection agency (EPA). PCSAD is a powerful sensor device for the on-site quantification of aqueous anions for environmental assessment. [ABSTRACT FROM AUTHOR]

Since more than a decade ago, the research on highly filled papers, as well as paper‐derived inorganic materials, has greatly intensified. As presented in this review, highly filled papers as preforms allow for the design of porous or dense, multilayered, and geometrically complex structures. These paper‐derived ceramic‐ or metal‐based materials are generated by the heat‐treatment of highly filled papers. Paper‐derived materials are potential materials of choice for applications in transportation, energy‐generation, environmental conservation, support structures, medical uses, and electronic components. Due to the adjustability of the filler content and the good machinability of highly filled papers, paper‐derived sheets or multilayers may include intricate structures and tailored gradients in phase structure or porosity. Paper‐derived multilayers also may contain cast ceramic tapes or other functionalized layers, as presented in some examples. Computer‐aided manufacturing processes for paper‐derived materials can be supplemented by prediction models for the sintering shrinkage in order to identify optimal post‐processing steps, stacking orders and orientations for highly filled paper layers within multilayer green bodies. The accuracy of established component‐level sintering models can be significantly increased by microstructure models of the highly filled paper. [ABSTRACT FROM AUTHOR]