Comprehensive comparison of water quality risk and microbial ecology between new and old cast iron pipe distribution systems.

The effects of cast iron pipe corrosion on water quality risk and microbial ecology in drinking water distribution systems (DWDSs) were investigated. It was found that trihalomethane (THMs) concentration and antibiotic resistance genes (ARGs) increased sharply in the old DWDSs. Under the same residual chlorine concentration conditions, the adenosine triphosphate concentration in the effluent of old DWDSs (Eff-old) was significantly higher than that in the effluent of new DWDSs. Moreover, stronger bioflocculation ability and weaker hydrophobicity coexisted in the extracellular polymeric substances of Eff-old, meanwhile, iron particles could be well inserted into the structure of the biofilms to enhance the mechanical strength and stability of the biofilms, hence enhancing the formation of THMs. Old DWDSs significantly influenced the microbial community of bulk water and triggered stronger microbial antioxidant systems response, resulting in higher ARGs abundance. Corroded cast iron pipes induced a unique interaction system of biofilms, chlorine, and corrosion products. Therefore, as the age of cast iron pipes increases, the fluctuation of water quality and microbial ecology should be paid more attention to maintain the safety of tap water.

Peripheral mitochondrial DNA as a neuroinflammatory biomarker for major depressive disorder.

ABSTRACT: In the pathogenesis of major depressive disorder, chronic stress-related neuroinflammation hinders favorable prognosis and antidepressant response. Mitochondrial DNA may be an inflammatory trigger, after its release from stress-induced dysfunctional central nervous system mitochondria into peripheral circulation. This evidence supports the potential use of peripheral mitochondrial DNA as a neuroinflammatory biomarker for the diagnosis and treatment of major depressive disorder. Herein, we critically review the neuroinflammation theory in major depressive disorder, providing compelling evidence that mitochondrial DNA release acts as a critical biological substrate, and that it constitutes the neuroinflammatory disease pathway. After its release, mitochondrial DNA can be carried in the exosomes and transported to extracellular spaces in the central nervous system and peripheral circulation. Detectable exosomes render encaged mitochondrial DNA relatively stable. This mitochondrial DNA in peripheral circulation can thus be directly detected in clinical practice. These characteristics illustrate the potential for mitochondrial DNA to serve as an innovative clinical biomarker and molecular treatment target for major depressive disorder. This review also highlights the future potential value of clinical applications combining mitochondrial DNA with a panel of other biomarkers, to improve diagnostic precision in major depressive disorder.

High-Speed and High-Responsivity Blue Light Photodetector with an InGaN NR/PEDOT:PSS Heterojunction Decorated with Ag NWs.

InGaN nanorods possessing larger and wavelength selective absorption by regulating In component based visible light photodetectors (PDs) as one of the key components in the field of visible light communication have received widespread attention. Currently, the weak photoelectric conversion efficiency and slow photoresponse speed of InGaN nanorod (NR) based PDs due to high surface states of InGaN NRs impede the actualization of high-responsivity and high-speed blue light PDs. Here, we have demonstrated high-performance InGaN NR/PEDOT:PSS@Ag nanowire (NW) heterojunction blue light photodetectors utilizing surface passivation and a localized surface plasmon resonance effect. The dark current is significantly reduced by passivating the InGaN NR surface states using PEDOT:PSS. The photoelectric conversion efficiency is significantly increased by increasing light absorption due to the electromagnetic field oscillation of Ag NWs. The responsivity, external quantum efficiency, detectivity, and fall/off time of the InGaN NR/PEDOT:PSS@Ag NW PDs are up to 2.9 A/W, 856%, 6.64 × 1010 Jones, and 439/725 µs, respectively, under 1 V bias and 420 nm illumination. The proposed device design presents a novel approach toward the development of low-cost, high-responsivity, high-speed blue light photodetectors for applications involving visible light communication.

An improved lightweight object detection algorithm for YOLOv5.

Object detection based on deep learning has made great progress in the past decade and has been widely used in various fields of daily life. Model lightweighting is the core of deploying target detection models on mobile or edge devices. Lightweight models have fewer parameters and lower computational costs, but are often accompanied by lower detection accuracy. Based on YOLOv5s, this article proposes an improved lightweight target detection model, which can achieve higher detection accuracy with smaller parameters. Firstly, utilizing the lightweight feature of the Ghost module, we integrated it into the C3 structure and replaced some of the C3 modules after the upsample layer on the neck network, thereby reducing the number of model parameters and expediting the model's inference process. Secondly, the coordinate attention (CA) mechanism was added to the neck to enhance the model's ability to pay attention to relevant information and improved detection accuracy. Finally, a more efficient Simplified Spatial Pyramid Pooling-Fast (SimSPPF) module was designed to enhance the stability of the model and shorten the training time of the model. In order to verify the effectiveness of the improved model, experiments were conducted using three datasets with different features. Experimental results show that the number of parameters of our model is significantly reduced by 28% compared with the original model, and mean average precision (mAP) is increased by 3.1%, 1.1% and 1.8% respectively. The model also performs better in terms of accuracy compared to existing lightweight state-of-the-art models. On three datasets with different features, mAP of the proposed model achieved 87.2%, 77.8% and 92.3%, which is better than YOLOv7tiny (81.4%, 77.7%, 90.3%), YOLOv8n (84.7%, 77.7%, 90.6%) and other advanced models. When achieving the decreased number of parameters, the improved model can successfully increase mAP, providing great reference for deploying the model on mobile or edge devices.

Synergistic effects of trace sulfadiazine and corrosion scales on disinfection by-product formation in bulk water of cast iron pipe.

The effects of trace sulfadiazine (SDZ) and cast-iron corrosion scales on the disinfection by-product (DBP) formation in drinking water distribution systems (DWDSs) were investigated. The results show that under the synergistic effect of trace SDZ (10 µg/L) and magnetite (Fe3O4), higher DBP concentration occurred in the bulk water with the transmission and distribution of the drinking water. Microbial metabolism-related substances, one of the important DBP precursors, increased under the SDZ/Fe3O4 condition. It was found that Fe3O4 induced a faster microbial extracellular electron transport (EET) pathway, resulting in a higher microbial regrowth activity. On the other hand, the rate of chlorine consumption was quite high, and the enhanced microbial EET based on Fe3O4 eliminated the need for microorganisms to secrete excessive extracellular polymeric substances (EPS). More importantly, EPS could be continuously secreted due to the higher microbial activity. Finally, high reactivity between EPS and chlorine disinfectant resulted in the continuous formation of DBPs, higher chlorine consumption, and lower EPS content. Therefore, more attention should be paid to the trace antibiotics polluted water sources and cast-iron corrosion scale composition in the future. This study reveals the synergistic effects of trace antibiotics and corrosion scales on the DBP formation in DWDSs, which has important theoretical significance for the DBP control of tap water.

Improved deep learning image classification algorithm based on Swin Transformer V2.

While convolutional operation effectively extracts local features, their limited receptive fields make it challenging to capture global dependencies. Transformer, on the other hand, excels at global modeling and effectively captures global dependencies. However, the self-attention mechanism used in Transformers lacks a local mechanism for information exchange within specific regions. This article attempts to leverage the strengths of both Transformers and convolutional neural networks (CNNs) to enhance the Swin Transformer V2 model. By incorporating both convolutional operation and self-attention mechanism, the enhanced model combines the local information-capturing capability of CNNs and the long-range dependency-capturing ability of Transformers. The improved model enhances the extraction of local information through the introduction of the Swin Transformer Stem, inverted residual feed-forward network, and Dual-Branch Downsampling structure. Subsequently, it models global dependencies using the improved self-attention mechanism. Additionally, downsampling is applied to the attention mechanism's Q and K to reduce computational and memory overhead. Under identical training conditions, the proposed method significantly improves classification accuracy on multiple image classification datasets, showcasing more robust generalization capabilities.

Adverse short-term effects of ozone on cardiovascular mortalities modified by season and temperature: a time-series study.

Introduction: Ambient ozone pollution becomes critical in China. Conclusions on the short-term effects of ozone on cardiovascular mortality have been controversial and limited on cause-specific cardiovascular mortalities and their interactions with season and temperature. This research aimed to investigate the short-term effects of ozone and the modifications of season and temperature on cardiovascular mortality. Methods: Cardiovascular death records, air pollutants, and meteorological factors in Shenzhen from 2013 to 2019 were analyzed. Daily 1-h maximum of ozone and daily maximum 8-h moving average of ozone were studied. Generalized additive models (GAMs) were applied to evaluate their associations with cardiovascular mortalities in sex and age groups. Effect modifications were assessed by stratifying season and temperature. Results: Distributed lag impacts of ozone on total cardiovascular deaths and cumulative effects on mortality due to ischemic heart disease (IHD) were most significant. Population under 65 years old was most susceptible. Majority of significant effects were found in warm season, at high temperature, and at extreme heat. Ozone-associated risks in total deaths caused by hypertensive diseases reduced in warm season, while risks in IHD in males increased at high temperature. Extreme heat enhanced ozone effects on deaths caused by CVDs and IHD in the population under 65 years old. Discussion: The revealed cardiovascular impacts of ozone below current national standard of air quality suggested improved standards and interventions in China. Higher temperature, particularly extreme heat, rather than warm season, could significantly enhance the adverse effects of ozone on cardiovascular mortality in population under 65 years old.

Triggering the Vapochromic Behavior in C60 via the Supramolecular Wrapping of st-PMMA.

Understanding the physicochemical modulation of functional molecules is the primary step in exploring novel stimuli-responsive materials, and preventing the π-π stacking configuration of π-conjugated molecules has been an effective strategy of vapochromic material development, such as of nanoporous frameworks. Nevertheless, the more complicated synthetic strategy should in fact be applied in many circumstances. In this study, we explore a facile supramolecular strategy where the commodity plastic, syndiotactic-poly(methyl methacrylate) (st-PMMA), is utilized to wrap C60 to form the inclusion complex. The structural characterization revealed that C60s in the st-PMMA supramolecular helix had a lower coordination number (CN = 2) compared to the face-centered-cubic packing of pure C60s (CN = 12). Since the st-PMMA/C60 helical complex has structural flexibility, the π-π stacking structure of C60 was further interrupted by the intercalation of toluene vapors, and the complete isolation of C60 in the complex induced the desired vapochromic behavior. Furthermore, the aromatic interaction between C60 and aromatic solvent vapors enabled the st-PMMA/C60 inclusion complex to selectively encapsulate chlorobenzene, toluene, etc., and induce the color change. The st-PMMA/C60 inclusion complex exhibited a transparent film of sufficient structural integrity such that it can still induce a reversible color change after several cycles. As a result, a new strategy has been discovered for the development of novel vapochromic materials via host-guest chemistry.

Liquid Crystal Droplet-Based Biosensors: Promising for Point-of-Care Testing.

The development of biosensing platforms has been impressively accelerated by advancements in liquid crystal (LC) technology. High response rate, easy operation, and good stability of the LC droplet-based biosensors are all benefits of the long-range order of LC molecules. Bioprobes emerged when LC droplets were combined with biotechnology, and these bioprobes are used extensively for disease diagnosis, food safety, and environmental monitoring. The LC droplet biosensors have high sensitivity and excellent selectivity, making them an attractive tool for the label-free, economical, and real-time detection of different targets. Portable devices work well as the accessory kits for LC droplet-based biosensors to make them easier to use by anyone for on-site monitoring of targets. Herein, we offer a review of the latest developments in the design of LC droplet-based biosensors for qualitative target monitoring and quantitative target analysis.

Mitigating the detrimental effects of salt stress on anammox process: A comparison between glycine betaine and mannitol.

The use of seawater to alleviate water shortages causes an increase of salinity in municipal pipe networks, posing challenges for biological wastewater treatment. The impacts of two compatible solutes on the anammox process under salt stress (20 g L-1) were compared here at the genetic and microbial levels. The findings revealed that both 0.3 mM glycine betaine (GB) and mannitol (MA) could alleviate the salt stress on anammox process, with GB exhibiting a better effect. Specifically, the addition of GB recovered the nitrogen removal efficiency (NRE) from 40 % to >80 % within 13 days. The addition of MA caused the reduction of the absolute abundance of hdh and hzsA, implying that 0.6 mM was not the optimal concentration. Moreover, salt stress induced an increase in the absolute abundance of nitrification functional genes and a decrease in the abundance of denitrification functional genes. Notably, compared with the initial level, the abundance of Candidatus Kuenenia increased by 7.1 % and 4.3 % after adding GB and MA, respectively. According to the network analysis, two compatible solutes promoted the bacterial interactions in anammox systems, which promoted the nitrogen circulation and further the nitrogen removal performance. This work provides a feasible strategy to relieve the salt stress on anammox process and then facilitates its application for treating saline wastewater.

Dissolved organic nitrogen derived from wastewater denitrification: Composition and nitrogenous disinfection byproduct formation.

Microbially derived dissolved organic nitrogen (mDON) is a major fraction of effluent total nitrogen at wastewater treatment plants with enhanced nutrient removal, which stimulates phytoplankton blooms and formation of toxic nitrogenous disinfection by-products (N-DBPs). This study identified denitrifiers as major contributors to mDON synthesis, and further revealed the molecular composition, influential factors and synthetic microorganisms of denitrification-derived mDON compounds leading to N-DBP formation. The maximum mDON accumulated during denitrification was 8.92% of converted inorganic nitrogen, higher than that of anammox (4.24%) and nitrification (2.76%). Sodium acetate addition at relatively high C/N ratio (5-7) favored mDON formation, compared with methanol and low C/N (1-3). Different from acetate, methanol-facilitated denitrification produced 13-69% more lignin-like compounds than proteins using Orbitrap LC-MS. The most abundant N-DBPs formed from denitrification-derived mDON were N-nitrosodibutylamine and dichloroacetonitrile (13.32 µg/mg mDON and 12.21 µg/mg mDON, respectively). Major amino acids, aspartate, glycine, and alanine were positively correlated with typical N-DBPs. Biosynthesis and degradation pathways of these N-DBP precursors were enriched in denitrifiers belonging to Rhodocyclaceae, Mycobacteriaceae and Hyphomicrobiaceae. As intensive disinfection is applied at worldwide wastewater treatment plants during COVID-19, carbon source facilitated denitrification should be better managed to reduce both effluent inorganic nitrogen and DON, mitigating DON and N-DBP associated ecological risks in receiving waters.

Anammox sludge preservation: Preservative agents, temperature and substrate.

The difficulties of enrichment and preservation of anaerobic ammonium oxidation bacteria (AnAOB) greatly limit their application in practice. Herein, traditional and emerging preservative agents (e.g., EPS + N2H4, betaine, glycerol and trehalose) were evaluated for their preservation of AnAOB-dominant sludge at different temperatures (e.g., 4 °C and room temperature). In addition, the effects of substrates on preservation were also considered. The results showed that adding betaine or glycerol at 4 °C was the optimal strategy for preserving anammox granular sludge. The relative anammox activities (rAA) increased by 145.26% and 158.30% at the recovery phase, respectively. Moreover, the absolute abundances of functional gene hzsA increased by 339% and 46%, respectively. Although the granular properties and microbial community structures changed during the preservation, the general performance of anammox granules could effectively restored. Collectively, this study provides the optimal strategies for anammox sludge preservation at low temperatures.

Level of Decoy Receptor 3 for Monitoring Clinical Progression of Severe Burn Patients.

The clinical value of Decoy receptor 3 (DcR3) in severe burn is investigated. Ten patients with severe burns were monitored for DcR3, PCT, CRP, IL6, SOFA score, white blood cell (WBC), and platelet. The correlations were analyzed. DcR3 increased on day 1. The nonsurvivors had a steady high level of DcR3 while the survivors had a relatively low level of DcR3. The peak magnitude of DcR3 was high in five nonsurvivors and low in five survivors without overlap. Three patients had a continuously increasing DcR3 level and then died. In the other two nonsurvivors, DcR3 reached the peak and then decreased before death. DcR3 correlated well with PCT (ρ = 0.4469, P < .0001), less with CRP, platelet, IL6, SOFA score and WBC (ρ = 0.4369, 0.4078, 0.3995, 0.2631, 0.1504, respectively, all P < .001). To explore the mechanisms, the HaCaT or THP-1 cells were stimulated by the plasma of burn patients, 45°C, LPS or stimulators of TLRs or NOD2 (PGN, CL264, MDP, iE-DAP, Gardiquimod), and their DcR3 was increased, which could be reduced by GDC-0941 or BEZ235 (inhibitors of PI3K and mTOR). The levels of DcR3 appeared to be a useful biomarker for monitoring the clinical severity and a predictor of mortality of severe burns.

In Vivo Self-Assembly Based Cancer Therapy Strategy.

Nanotechnology has been widely applied in tumor imaging, diagnostic and therapy. Beside the prefabricated nanomaterials, constructing nanostructures in living cells through self-assemble provides an alternative strategy to treat cancer. In vivo self-assembly renders the conversion of compatible small molecules into assembled nanostructures with toxicity, and is expected to outperform the prefabricated nanotechnologies as the small molecules diffuse faster than their assembly form. Attributed to the specific tumor environment such as low pH, high ROS, high enzyme expression and so on, in vivo self-assembly could differentiate cancer cells from normal ones with high selectivity. The in vivo self-assembly based caner therapy has made considerable progress in the last decade with confirmed advantages such as high capacity, minimal drug resistance, high accumulation, enhanced retention and so on. This review summarized the in vivo self-assembly of nanostructures induced by the stimuli like pH, ROS, enzyme, metal ion, localized concentration, biominerization and their utilization in cancer therapy.

Estimation of Heart Rate and Respiratory Rate from PPG Signal Using Complementary Ensemble Empirical Mode Decomposition with both Independent Component Analysis and Non-Negative Matrix Factorization.

This paper proposes a framework combining the complementary ensemble empirical mode decomposition with both the independent component analysis and the non-negative matrix factorization for estimating both the heart rate and the respiratory rate from the photoplethysmography (PPG) signal. After performing the complementary ensemble empirical mode decomposition on the PPG signal, a finite number of intrinsic mode functions are obtained. Then, these intrinsic mode functions are divided into two groups to perform the further analysis via both the independent component analysis and the non-negative matrix factorization. The surrogate cardiac signal related to the heart activity and another surrogate respiratory signal related to the respiratory activity are reconstructed to estimate the heart rate and the respiratory rate, respectively. Finally, different records of signals acquired from the Medical Information Mart for Intensive Care database downloaded from the Physionet Automated Teller Machine (ATM) data bank are employed for demonstrating the outperformance of our proposed method. The results show that our proposed method outperforms both the digital filtering approach and the conventional empirical mode decomposition based methods in terms of reconstructing both the surrogate cardiac signal and the respiratory signal from the PPG signal as well as both achieving the higher accuracy and the higher reliability for estimating both the heart rate and the respiratory rate.

Comparison of Three Different Assays for the Detection of Tumor Antigen-Induced Lymphocyte Transformation In Vitro.

Tumor antigen-induced lymphocyte transformation (LT) represents the antitumor cellular immunity, which might correlate with the cancer treatment outcome. Currently, there is no LT assay (LTA) routinely used in clinic. To establish a sensitive and convenient procedure for LTA, the same samples were used to simultaneously perform three assays: 5-ethynyl-2'-deoxyuridine (EdU) assay, 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay, and carboxyfluorescein succinimidyl ester (CFSE) assay, and then the three results were compared. Several conditions were optimized: the LT harvest time, sources of lymphocytes (blood, lymph nodes, or spleen), the added amount of stimulatory tumor antigen and in vivo immunization priming time for LTA. The results of side-by-side comparison showed that (1) the 72 h for coculture of lymphocytes with tumor antigens was optimal time to harvest cells for LTA; (2) 50 µg/mL of tumor antigens was the optimal concentration for activation LT from three sources; (3) EdU incorporation was the sensitive and convenient assay for LTA as compared with MTT and CFSE assays; (4) the day 21-28 after in vivo priming immunization was the testing time for LTA; and (5) peripheral blood LT could be a good representative of whole body's lymphocyte reaction and practically easy cell source for LTA. This comparison of the three LTA in mouse model suggests that the EdU incorporation assay might be useful to evaluate the antitumor immunity stimulated by specific tumor vaccine or different anticancer therapies.

A novel approach for fast detection of sepsis with Gram-negative bacterial infection.

Sepsis, a life-threatening systemic infection, requires quick treatment. Gram-negative bacteria (GNB) are the major causative pathogens and their endotoxin can be a surrogate biomarker for diagnosis. We explored a fast identification of GNB by first culturing blood to increase endotoxin levels and then detecting endotoxin by Tachypleus amebocyte lysate (TAL) with kinetic turbidimetric assay (KT-TAL). Heating samples could significantly increase the endotoxin released from GNB; speed and time of centrifugation, and sample dilution could affect the endotoxin results. At a high GNB load, endotoxin was detected 3 h after culture, 6.5 h earlier than the BD BACTEC blood culture system detecting GNB. At a low GNB load, endotoxin was detected at 9 h after culture, 13 h earlier than by the BD BACTEC system. In a sepsis patient with Acinetobacter baumannii, we detected endotoxin at 12 h after culture, while the BD BACTEC system needed 28.5 h for detection, allowing physicians an earlier decision on appropriate treatment.

Influence of POLG on Radiosensitivity of Nasopharyngeal Carcinoma Cells.

BACKGROUND AND OBJECTIVE: There is a high incidence of nasopharyngeal carcinoma (NPC), malignant head and neck tumors, in southern China. Radioresistance is the main cause affecting the efficacy of NPC treatments. The POLG gene particularly plays an important role in radiation-induced damage repair. In this study, the authors established RNAi CNE-1 and CNE-2 knockdown in two NPC cell lines to observe whether this gene affects the radiosensitivity of NPC cells. MATERIALS AND METHODS: Four short hairpin RNA (shRNA) expression plasmids targeting POLG gene were constructed and transfected into the NPC cell lines CNE-1 and CNE-2. Screening was performed to evaluate the stable expression of cloned cells, which were named CNE-1/POLG-shRNA1, CNE-1/POLG-shRNA2, CNE-2/POLG-shRNA1, and CNE-2/POLG-shRNA2. The negative controls CNE-1/Neg-shRNA and CNE-2/Neg-shRNA were additionally used. The MTT method, flow cytometry, clone formation analysis, cell migration, and other experimental methods were employed to verify changes in the radiosensitivity of the NPC cells. RESULTS: Fluorescent quantitative PCR and Western blot confirmed the downregulation of the PLOG gene through diminished PLOG messenger RNA and protein levels. Consequently, the authors report the stable knockdown of the POLG gene in an NPC model. Dose-dependent radiation exposure of POLG inhibited NPC cell growth and increased apoptosis compared with control cells (p < 0.01), as demonstrated through colony formation assay and flow cytometry. Functional assays indicated that knockdown of the POLG in CNE-1 and CNE-2 cells remarkably reduced cell viability and proliferation. Specifically, POLG knockdown led to G1 phase arrest and apoptosis. CONCLUSIONS: Overall, the authors conclude that POLG downregulation alters the radiosensitivity of NPC cells, indicating that the gene is likely involved in conferring the radiation response of the cells. In addition, findings in this study suggest a novel role for POLG as a potential predictive marker for NPC radiotherapy efficiency. POLG gene can be used as a potential clinical target to effectively improve the radiosensitivity of NPC.

Comparison of three different methods for the detection of circulating tumor cells in mice with lung metastasis.

Circulating tumor cells (CTCs) represent the key step of cancer cell dissemination. The alteration of CTCs correlates with the treatment outcome and prognosis. To enrich and identify CTCs from billions of blood cells renders a very challenging task, which triggers development of several methods, including lysis of RBC plus negative or positive enrichment using antibodies, and filter membrane or spiral microfluidics to capture CTCs. To compare the advantages of different enrichment methods for CTCs, we utilized the 4T1 breast cancer cells transfected with both green fluorescent protein (GFP) and luciferase to trace CTCs in the experimental lung metastasis model. Three methods were used to detect CTCs at the same time: bioluminescence assay, smearing method, and membrane filter method. The in vivo alive mouse imaging was used to dynamically monitor the growth of lung metastases. The sensitivity and accuracy of three detection methods were compared side-by-side. Our results showed that 1) the sensitivity of bioluminescence assay was the highest, but there was no information of CTC morphology; 2) the smearing method and membrane filter method could observe the detail of CTC morphology, such as in single or in cluster, while their sensitivity was lower than bioluminescence assay; 3) A dynamic observation at a 7-day intervals, the lung metastatic cancer grew at a log speed, while CTCs were increased at a low speed. This might be due to the activated immune cells eliminating the CTCs at a speed much faster than CTCs were generated. This comparison of three CTC detection methods in mouse model suggests that bioluminescence assay could be used in quantitative study of the effect of certain agent on the suppression of CTCs, while GFP-based morphological assays could be used to study the dissemination mechanism of CTCs. The combination of both bioluminescence assay and GFP-based assay would generate more information for quantity and quality of CTCs.

Chemical and mechanical modulation of polymeric micelle assembly.

Recently, polymeric micelles self-assembled from amphiphilic polymers have been studied for various industrial and biomedical applications. This nanoparticle self-assembly typically occurs in a solvent-exchange process. In this process, the quality of the resulting particles is uncontrollably mediated by polymeric solubility and mixing conditions. Here, we hypothesized that improving the solubility of an amphiphilic polymer in an organic solvent via chemical modification while controlling the mixing rate of organic and aqueous phases would enhance control over particle morphology and size. We examined this hypothesis by synthesizing a poly(2-hydroxyethyl)aspartamide (PHEA) grafted with controlled numbers of octadecyl (C18) chains and oligovaline groups (termed "oligovaline-PHEA-C18"). The mixing rate of DMF and water was controlled either by microfluidic mixing of laminar DMF and water flows or through turbulent bulk mixing. Interestingly, oligovaline-PHEA-C18 exhibited an increased solubility in DMF compared with PHEA-C18, as demonstrated by an increase of mixing energy. In addition, increasing the mixing rate between water and DMF using the microfluidic mixer resulted in a decrease of the diameter of the resulting polymeric micelles, as compared with the particles formed from a bulk mixing process. Overall, these findings will expand the parameter space available to control particle self-assembly while also serving to improve existing nanoparticle processing techniques.