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“Lab on paper” is a paper-based microanalytical system with unique advantages such as high sensitivity, low cost, portability, and mass production, which breaks through the limitations of traditional detection technologies and shows great potential in the field of rapid on-site food detection. In this paper, the typical “labs on paper”, including chromatographic paper, chemical test chip, lateral flow assay (LFA), microfluidic paper-based analytical devices (μPADs), and synthetic biological paper, are systematically reviewed. Special emphasis is put on the application of “lab on paper” in the field of food detection. Finally, the advantages, challenges, and future prospects of paper-based analytic methods are discussed, which may provide theoretical support for better application of “lab on paper” in the field of food detection.

New paper-based microfluidic technology has been widely used in many fields due to their advantages such as easy preparation, low cost, and non-toxic environmental protection, compared with the shortcomings of other food analysis and detection techniques such as complex production method and high cost of preparation. The outline of new paper-based microfluidic technology is briefly summarized and the probes including organic molecules, nanomaterials and polymers their structural activity with regard to sensing performances along with their limit of detection are also discussed. This review is expected to assist readers for better understanding of the sensing mechanisms of various chemo and bio-probes utilized in µPADs, as well as promote their advancement in the field. The detection mechanism and its advantages in the whole detection system at the same time to get the ideal experimental results of new paper-based microfluidic technology in the food analysis of pesticide residues, pathogenic bacteria, additives, heavy metals and other substances are mainly introduced. This study would provide the theoretical basis and references for fast detection field. The future challenges and application prospects of this technology are prospected.

Fruit paper is a paper-shaped snack made from fresh fruit after pulping, boiling and drying. Drying, one of the oldest methods for food preservation, removes water from fruit and extends its shelf-life for year-round consumption. The most commonly used drying methods include hot air drying, vacuum drying, freeze drying, and their combinations. The energy efficiency of drying process and the quality of fruit paper are both important to be considered in fruit pulp drying. This article updates the research status of drying technologies applied in fruit paper production, including hot air drying, freeze drying, vacuum drying, microwave drying, infrared radiation drying, and refraction window drying. In addition, the influence of the pretreatments and drying process on fruit paper's shape, texture, and nutrients are also summarized. This work aims to improve the drying efficiency of fruit paper and retain the active ingredients of fruit to the maximum extent, and to provide reference for further research on drying processing of fruit paper in food industry.

During the forming of aramid paper honeycomb sandwich component of aircraft composites in the autoclave, the structure bears thermo-mechanical coupling case, and it may exist the phenomenon of the honeycomb crack during the forming. The tensile, compressive, shear and thermal properties of aramid paper honeycomb core are obtained by testing. Meanwhile, the numerical simulation of thermo-mechanical sequential coupling of the whole honeycomb sandwich component and the local core area are carried out by combining the finite element analysis method and the inversion method. The results show that the thermal stress during the forming process will not cause the adhesive layer between honeycomb cells to crack, but gas pressure will. The difference value of pressure difference between honeycomb cells required for adhesive layer′s slight destruction and complete destruction is positively related to the initial normal fracture stress of adhesive layer. The pressure difference required for the adhesive layer′s complete destruction is decreased with the increase of the number of loaded cells.

Knowledge representation of scientific paper data is a problem to be solved,and how to learn the representation of paper nodes in scientific paper heterogeneous network is the core to solve this problem.This paper proposes an unsupervised cluster-level scientific paper heterogeneous graph node representation learning method(UCHL),aiming at obtaining the representation of nodes (authors,institutions,papers,etc.) in the heterogeneous graph of scientific papers.Based on the heterogeneous graph representation,this paper performs link prediction on the entire heterogeneous graph and obtains the relationship between the edges of the nodes,that is,the relationship between paper and paper.Experiments results show that the proposed method achieves excellent performance on multiple evaluation metrics on real scientific paper datasets.

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