▲ Vol 03 Issue 01 |  January 20 , 2024

Bioinspired reflective display based on photonic crystals

Yifan Liu, Xiaoyu Hou, Yanlin Song, Mingzhu Li

Reflective displays have the advantages of energy efficiency, high brightness, eye protection, and good readability, making them an attractive display technology. Photonic crystal (PhC) structural color is highly regarded as an ideal choice for reflective displays for its ecofriendliness, colorfastness, and adjustability. In this review, we introduce the fundamental classification and manufacturing methods of PhC reflective displays. We systematically summarize the display principles of PhC-based displays driven by various stimuli. Furthermore, we present the latest research advancements in PhC displays based on smart actuators. Additionally, we offer a detailed overview of the current research status and application prospects of liquid crystal structural color displays and three-dimensional PhC displays. Finally, we discuss the challenges faced by PhC displays and provide insights into their prospects.

https://onlinelibrary.wiley.com/doi/10.1002/idm2.12138

▲ Vol 18  Issue 03 |  January 23 , 2024

High-Performance Plasma Biomarker Panel for Alzheimer’s Disease Screening Using a Femtomolar-Level Label-Free Biosensing System

Shicai Wang, Ruijun Deng, Zhiya Chen, Lili Huang, Yang Song, Dan Yuan, Yu Li, Haonan Liu, Fan Yang, Beiyuan Fan, Yun Xu, Zijian Zhao, Yanzhao Li, and Yan Zhang

Alzheimer’s disease (AD) is the most common cause of dementia in older people. However, diagnosing AD through noncognitive methods, such as invasive cerebrospinal fluid sampling or radioactive positron emission tomography, has limited applications. Herein, the femtomolar levels of AD biomarkers amyloid β 40 (Aβ40), amyloid β 42 (Aβ42), phosphorylated tau 181 (P-tau181), phosphorylated tau 217 (P-tau217), and neurofilament light chain (NfL) were determined in human plasma in multicenter clinical cohorts using an ultrasensitive graphene field-effect transistor sensor. A machine-learning algorithm was also used to assemble these plasma biomarkers and optimize their performance in discriminating individual stages of Alzheimer’s dementia progression. The “composite-info” biomarker panel, which combines these biomarkers and clinical information, considerably improved the staging performance in AD progression. It achieved an area under the curve of >0.94 in the receiver operator characteristic (ROC) curve. In addition, the panel demonstrated an advantage in the individual-based stage assessment compared with that of the Mini-Mental State Examination/Montreal Cognitive Assessment and nuclear magnetic resonance imaging. This study provides a composite biomarker panel for the screening and early diagnosis of AD using a rapid detection system.

https://pubs.acs.org/doi/10.1021/acsnano.3c09311

▲ Vol 36 Issue 01 |  January 04 , 2024

3D Printed Cellulose Nanofiber Aerogel Scaffold with Hierarchical Porous Structures for Fast Solar-Driven Atmospheric Water Harvesting

Penghui Zhu, Zhengyang Yu, Hao Sun, Dingyuan Zheng, Yi Zheng, Yangyang Qian, Yuan Wei, Jongho Lee, Simcha Srebnik, Wenshuai Chen, Gang Chen, Feng Jiang

Atmospheric Water Harvesting

In article number 2306653, Wenshuai Chen, Gang Chen, Feng Jiang, and co-workers report a hierarchically structured cellulose nanofiber/lithium chloride scaffold through 3D printing combined with freeze-drying methods for solar-driven atmospheric water harvesting. The milli-/micrometer multiscale pores provide more exposed active area with the surrounding air, thus accelerating both water sorption and evaporation kinetics of the 3D-printed structure.

https://onlinelibrary.wiley.com/doi‍/10.1002/adma.202470007

▲ Vol 23 Issue 01 |  January 05 , 2024

Integrated Transcriptomics–Proteomics Analysis Identifies Molecular Phenotypic Alterations Associated with Colorectal Cancer

Jingjing Liu, Xinghua Jin, Chengchao Qiu, Ping Han, Yixuan Wang, Jian Zhao, Jing Wu, Neng Yan, and Xiaofeng Song

Understanding the pathogenesis and finding diagnostic markers for colorectal cancer (CRC) are the key to its diagnosis and treatment. Integrated transcriptomics and proteomics analysis can be used to characterize alterations of molecular phenotypes and reveal the hidden pathogenesis of CRC. This study employed a novel strategy integrating transcriptomics and proteomics to identify pathological molecular pathways and diagnostic biomarkers of CRC. First, differentially expressed proteins and coexpressed genes generated from weighted gene coexpression network analysis (WGCNA) were intersected to obtain key genes of the CRC phenotype. In total, 63 key genes were identified, and pathway enrichment analysis showed that the process of coagulation and peptidase regulator activity could both play important roles in the development of CRC. Second, protein–protein interaction analysis was then conducted on these key genes to find the central genes involved in the metabolic pathways underpinning CRC. Finally, Itih3 and Lrg1 were further screened out as diagnostic biomarkers of CRC by applying statistical analysis on central genes combining transcriptomics and proteomics data. The deep involvement of central genes in tumorigenesis demonstrates the accuracy and reliability of this novel transcriptomics–proteomics integration strategy in biomarker discovery. The identified candidate biomarkers and enriched metabolic pathways provide insights for CRC diagnosis and treatment.

https://pubs.acs.org/doi/10.1021/acs.jproteome.3c00526

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静远嘲风（MY Scimage） 成立于2007年，嘲风取自中国传统文化中龙生九子，子子不同的传说，嘲风为守护屋脊之瑞兽，喜登高望远；静远取自成语“宁静致远”，登高莫忘初心，远观而不可务远。

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