Southeast University

About: Southeast University is a education organization based out in Nanjing, China. It is known for research contribution in the topics: Computer science & MIMO. The organization has 66363 authors who have published 79434 publications receiving 1170576 citations. The organization is also known as: SEU.

Quasi-spherical silver nanoparticles: Aqueous synthesis and size control by the seed-mediated Lee-Meisel method

Abstract: Silver nanoparticles (AgNPs) are attracting tremendous attention in biomedicine, and their related performances are shape and size-dependent. For biomedical applications, water-soluble AgNPs are necessary. However, aqueous syntheses of AgNPs with controlled shape and size are relatively difficult as the balance between nucleation and growth is hard to regulate. This paper describes a robust method for controllable synthesis of quasi-spherical AgNPs based on the combination of the seed-mediated growth and the Lee–Meisel method by thermal reduction of AgNO3 with citrate. In the presented method, citrate-stabilized AgNPs with tunable sizes up to 80 nm were achieved through one-step or stepwise growth process using qualified spherical 4 nm AgNPs as starter seeds. Specially, the two main difficulties (formation of nanorods and secondary nucleation during the growth stage) in the previous studies have been effectively overcome by tailoring the experimental parameters such as the reaction temperature and the seed amount, without extra additives, pH adjustment, and laser treatment. The crucial factors that affect the uniformity of the resulting AgNPs are discussed.

The prognostic value of preoperative NLR, d-NLR, PLR and LMR for predicting clinical outcome in surgical colorectal cancer patients

Abstract: Accumulating evidences indicate cancer-triggered inflammation plays a pivotal role in carcinogenesis. Systematic inflammatory response biomarkers are considered as potential prognostic factors for improving predictive accuracy in colorectal cancer (CRC). Preoperative neutrophil-to-lymphocyte ratio (NLR), derived neutrophil-to-lymphocyte ratio (d-NLR), platelet-to-lymphocyte ratio (PLR) and lymphocyte- to-monocyte ratio (LMR) were investigated and compared in 205 surgical CRC patients. ROC curve was applied to determine thresholds for four biomarkers, and their prognostic values were assessed using Kaplan–Meier curve, univariate and multivariate COX regression models. Moreover, a number of risk factors were used to form nomograms for evaluating risk of survival, and Harrell’s concordance index (c-index) was used to evaluate predictive accuracy. Results showed that elevated NLR was significantly associated with diminished recurrent-free survival (RFS), overall survival (OS) and cancer-specific survival (CSS) in surgical CRC patients. Moreover, multivariate COX analysis identified elevated NLR as an independent factor for poor RFS (P < 0.001, HR 2.52, 95 % CI 1.65–3.83), OS (P < 0.001, HR 2.73, 95 % CI 1.74–4.29) and CSS (P < 0.001, HR 2.77, 95 % CI 1.72–4.46). Additionally, predictive nomograms including NLR for RFS, OS and CSS could be more effective in predicting RFS (c-index: 0.810 vs. 0.656), OS (c-index: 0.809 vs. 0.690) and CSS (c-index: 0.802 vs. 0.688) in surgical CRC patients, respectively. These findings indicate that preoperative elevated NLR can be considered as an independent prognostic biomarker for RFS, OS and CSS. Nomograms containing NLR provide improved accuracy for predicting clinical outcomes in surgical CRC patients under surgery resection.

Photonic Crystals in Bioassays

Abstract: Photonic crystal (PC) based bioassay techniques have many advantages in sensitive biomolecular screening, label-free detection, real-time monitoring of enzyme activity, cell morphology research, and so on. This study provides an overall survey of the basic concepts and up-to-date research concerning the very promising use of PC materials for bioassays. It includes the design and application of PC films, PC microcarriers, PC fibers, and PC optofluidics for fluorescence enhancement or label-free bioassays. Emphasis is given to the description of the functional structures of different PC materials and their respective sensing mechanisms. Examples of detecting various types of analytes are presented. This article promotes communication among chemistry, biology, medicine, pharmacy, and material science.