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Surfactants play important roles in chemical industries and have become well-known environmental pollutants owing to their extensive use in different fields. In this work, we reported a fluorescent probe, namely, BDP-Zn2+ for the discrimination of four kinds of surfactants and the determination of CMC values. BDP-Zn2+ was composed of covalently linked BODIPY, carbazole, N,N-bis(2-pyridylmethyl)ethylenediamine (BPEA) and zinc ions to fabricate a novel push–pull molecular structure. Upon the addition of surfactants, the probe exhibited a turn-on fluorescence response and the emission was enhanced on increasing the surfactant concentrations. This indicated that the fluorescence intensity and the ratios of the emission at 607 nm to that at 514 nm as fingerprints could be used to identify the CMC values of the surfactants. Our current work provides an alternative method to efficiently discriminate different surfactants for the further studies of their physical and chemical functions. [ABSTRACT FROM AUTHOR]

Abstract: This paper presents a hybrid model of integrating the synergy of two superior classifiers: Convolutional Neural Network (CNN) and Support Vector Machine (SVM), which have proven results in recognizing different types of patterns. In this model, CNN works as a trainable feature extractor and SVM performs as a recognizer. This hybrid model automatically extracts features from the raw images and generates the predictions. Experiments have been conducted on the well-known MNIST digit database. Comparisons with other studies on the same database indicate that this fusion has achieved better results: a recognition rate of 99.81% without rejection, and a recognition rate of 94.40% with 5.60% rejection. These performances have been analyzed with reference to those by human subjects. [Copyright &y& Elsevier]

Water‐soluble ratiometric AIE‐active fluorescent organic nanoparticles 2OA‐FON for the specific sensing of cysteine over other biothiols are reported. The obtained amphiphilic probe included olefin aldehyde as recognizing unit, tetraphenylethylene as fluorescence reporter and lactose moiety as a hydrophilic group. This work provides a general design strategy based on the introduction of a sugar moiety into a hydrophobic AIEgen to develop ratiometric water‐soluble fluorescent organic nanoparticles. [ABSTRACT FROM AUTHOR]

The sensing of carboxylesterases (CESs) activity in living systems is of great importance for drug design and biomedical research. Herein, water-soluble AIE-active fluorescent organic nanoparticles (2B3OTs) containing hydrophilic lactose and hydrophobic BODIPY-conjugated tetraphenylethene moieties were rationally designed for ratiometrically fluorescent sensing of CESs with the meso -ester BODIPY as the recognition unit. 2B3OTs were cell membrane permeable and successfully applied to detect the real activities of endogenous CESs in living cells. More importantly, 2B3OTs could preferentially recognize hepatoma cells rather than normal liver cells, since the lactose is an efficient ligand for asialoglycoprotein receptors which are over expressed in tumor liver cells. It is first time that water-soluble AIE-active fluorescence organic nanoparticle were designed and utilized for real-time sensing of CESs activities in living cells. [Display omitted] • Water-soluble AIE-active fluorescent organic nanoparticles (2B3OTs) were designed and utilized for real-time sensing of CESs activities in vivo and in vitro. •In contrast to the single-signal " off-on " fluorescent probes, dual-signal ratiometric fluorescent sensor (2B3OT) could effectively eliminate the signal volatility from probe concentrations or external instrumental parameters. • 2B3OTs could preferentially recognize hepatoma cells rather than normal liver cells, since the lactose is an efficient ligand for asialoglycoprotein receptors which are over expressed in tumor liver cells. [ABSTRACT FROM AUTHOR]