An Ultrasensitive Fluorescent Sensing Nanofilm for Organic Amines Based on Cholesterol‐Modified Perylene Bisimide

A stable, ultrasensitive, and fully reversible fluorescent sensing film for organic amines has been fabricated by assembling cholesterol (Chol)‐derived perylene bisimide on a glass plate surface. The compound exhibits excellent film formation properties and forms well‐defined nanofibers, as evidenced by SEM and AFM measurements. It has been revealed that besides the molecular structure of the specially designed perylene derivative, the existence of nanofibers in the film is another key factor to endow the film with superior sensing ability for organic amines, including aniline. The detection limit of the amine is ca. 150.0 ppt in the vapor phase and at room temperature. Furthermore, the sensing process is free of interference from common organic solvents, nitroaromatics, and particularly phenols, which makes the film a potential candidate to be used in lung cancer diagnoses and related applications.     

Idempotent states on Sekine quantum groups

Sekine quantum groups are a family of finite quantum groups. The main result of this article is to compute all the idempotent states on Sekine quantum groups, which completes the work of Franz and Skalski. This is achieved by solving a complicated system of equations using linear algebra and basic number theory. From this, we discover a new class of non-Haar idempotent states. The order structure of the idempotent states on Sekine quantum groups is also discussed. Finally we give a sufficient condition for the convolution powers of states on Sekine quantum group to converge.     

Theoretic expression of flow rate for a single fracture with linearly varying width

By means of reasonable assumption and mathematical derivation, a theoretic expression of flow rate for a single fracture with linearly varying width was obtained. The mathematical derivation was based on the cubic law and the new theoretic expression was an extention of traditional parallel plate model. This study may help to analyze seepage in fractured rock mass.     

Locally Sparse Estimator for Functional Linear Regression Models

A new locally sparse (i.e., zero on some subregions) estimator for coefficient functions in functional linear regression models is developed based on a novel functional regularization technique called “fSCAD.” The nice shrinkage property of fSCAD allows the proposed estimator to locate null subregions of coefficient functions without over shrinking nonzero values of coefficient functions. Additionally, a roughness penalty is incorporated to control the roughness of the locally sparse estimator. Our method is theoretically sounder and computationally simpler than existing methods. Asymptotic analysis reveals that the proposed estimator is consistent and can identify null subregions with probability tending to one. Extensive simulations confirm the theoretical analysis and show excellent numerical performance of the proposed method. Practical merit of locally sparse modeling is demonstrated by two real applications. Supplemental materials for the article are available online.     

A fully discrete spectral method for fractional Cattaneo equation based on Caputo–Fabrizo derivative

Recently Caputo and Fabrizio introduced a new derivative with fractional order without singular kernel. The derivative can be used to describe the material heterogeneities and the fluctuations of different scales. In this article, we derived a new discretization of Caputo–Fabrizio derivative of order α (1 < α < 2) and applied it into the Cattaneo equation. A fully discrete scheme based on finite difference method in time and Legendre spectral approximation in space is proposed. The stability and convergence of the fully discrete scheme are rigorously established. The convergence rate of the fully discrete scheme in H¹ norm is O(τ² + N^1?m), where τ, N and m are the time‐step size, polynomial degree and regularity in the space variable of the exact solution, respectively. Furthermore, the accuracy and applicability of the scheme are confirmed by numerical examples to support the theoretical results.     

Mechanically Strong Globular‐Protein‐Based Fibers Obtained Using a Microfluidic Spinning Technique

Proteins used for the formation of light weight and mechanically strong biological fibers are typically composed of folded rigid and unfolded flexible units. In contrast to fibrous proteins, globular proteins are generally not regarded as a good candidate for fiber production due to their intrinsic structural defects. Thus, it is challenging to develop an efficient strategy for the construction of mechanically strong fibers using spherical proteins. Herein, we demonstrate the production of robust protein fibers from bovine serum albumin (BSA) using a microfluidic technique. Remarkably, the toughness of the fibers was up to 143 MJ m^?3, and after post‐stretching treatment, their breaking strength increased to almost 300 MPa due to the induced long‐range ordered structure in the fibers. The performance is comparable to or even higher than that of many recombinant spider silks or regenerated silkworm fibers. Thus, this work opens a new way for making biological fibers with high performance.     

Detection and Chiral Recognition of α‐Hydroxyl Acid through 1H and CEST NMR Spectroscopy Using a Ytterbium Macrocyclic Complex

Chiral α‐hydroxyl acids are of great importance in chemical synthesis. Current methods for recognizing their chirality by ¹H NMR are limited by their small chemical shift differences and intrinsic solubility problem in organic solvents. Herein, we developed three YbDO3A(ala)₃ derivatives to recognize four different commercially available chiral α‐hydroxyl acids in aqueous solution through ¹H NMR and chemical exchange saturation transfer (CEST) spectroscopy. The shift difference between chiral α‐hydroxyl acid observed by proton and CEST NMR ranged from 15–40 and 20–40 ppm, respectively. Our work demonstrates for first time, that even one chiral center on the side‐arm chain of cyclen could set the stage for rotation of the other two non‐chiral side chains into a preferred position. This is ascribed to the lower energy state of the structure. The results show that chiral YbDO3A‐like complexes can be used to discriminate chiral α‐hydroxyl acids with a distinct signal difference.     

基于光声谱的生物组织“指纹”光声诊断术*

肿瘤诊断主要采用医学影像结合组织活检病理予以确诊,但尚未实现高效的早期肿瘤筛查,现有影像术的诊断信息不全面和病理的有创、耗时长是关键问题。近年来快速发展起来的新型生物医学光声成像和光声谱分析技术,对生物组织的分子、化学和功能信息高度灵敏,可实现组织"指纹"的量化检测,且实时、无放射性、无电离性,与其他影像技术融合后具有实现无创"质谱"检测的巨大潜力。该文基于光声信号在光学和声学两个维度的谱分析,实现多种肿瘤和正常组织的光声组织"指纹"成像;提取的量化参数对肿瘤、癌前病变和正常组织进行了有效区分。这项技术有望实现高效、无创、低价的在体早期肿瘤筛查。     

水波频闪法测量液体表面张力系数

本文介绍了一种利用水波槽中产生的毛细波来测量液体表面张力系数的新方法.由对乙醇、丙酮、硝酸钾溶液、氯化钠溶液等的测量结果表明,这种方法可以测量各种有机、无机的液体,且操作简单,误差在允许的范围内.     

A novel strategy for the preparation of the injectable PET/CT radiopharmaceutical (-)-[11C]-(1R,2S)-meta-hydroxyephedrine ((-)-[11C]HED

Positron emission tomography (PET) had been applied in clinical early diagnosis of various tumors and other diseases. The methylated synthetic conditions of (-)-[¹¹C]-(1R,2S)-meta-hydroxyephedrine ((-)-[¹¹C]HED), considered as one of the most important radiopharmaceuticals for PET, were optimized through single factor and orthogonal design methods. Here, we reported an improved purification protocol. The radiochemical yields of the final product were over 45% (decay-corrected and based on [¹¹C]methyl iodide) (n?=?50). The radiochemical purities and chemical purities were over 99% (n?=?50) and 97% (n?=?50), respectively. The automatic radiosynthesis procedure of (-)-[¹¹C]HED with relatively high radiochemical yield was convenient and reliable.