Monoallelic variation in DHX9, the gene encoding the DExH-box helicase DHX9, underlies neurodevelopment disorders and Charcot-Marie-Tooth disease.

DExD/H-box RNA helicases (DDX/DHX) are encoded by a large paralogous gene family; in a subset of these human helicase genes, pathogenic variation causes neurodevelopmental disorder (NDD) traits and cancer. DHX9 encodes a BRCA1-interacting nuclear helicase regulating transcription, R-loops, and homologous recombination and exhibits the highest mutational constraint of all DDX/DHX paralogs but remains unassociated with disease traits in OMIM. Using exome sequencing and family-based rare-variant analyses, we identified 20 individuals with de novo, ultra-rare, heterozygous missense or loss-of-function (LoF) DHX9 variant alleles. Phenotypes ranged from NDDs to the distal symmetric polyneuropathy axonal Charcot-Marie-Tooth disease (CMT2). Quantitative Human Phenotype Ontology (HPO) analysis demonstrated genotype-phenotype correlations with LoF variants causing mild NDD phenotypes and nuclear localization signal (NLS) missense variants causing severe NDD. We investigated DHX9 variant-associated cellular phenotypes in human cell lines. Whereas wild-type DHX9 was restricted to the nucleus, NLS missense variants abnormally accumulated in the cytoplasm. Fibroblasts from an individual with an NLS variant also showed abnormal cytoplasmic DHX9 accumulation. CMT2-associated missense variants caused aberrant nucleolar DHX9 accumulation, a phenomenon previously associated with cellular stress. Two NDD-associated variants, p.Gly411Glu and p.Arg761Gln, altered DHX9 ATPase activity. The severe NDD-associated variant p.Arg141Gln did not affect DHX9 localization but instead increased R-loop levels and double-stranded DNA breaks. Dhx9-/- mice exhibited hypoactivity in novel environments, tremor, and sensorineural hearing loss. All together, these results establish DHX9 as a critical regulator of mammalian neurodevelopment and neuronal homeostasis.

Molecular Engineering of Bright NIR-I/NIR-II Nanofluorophores for High-Resolution Bioimaging and Tumor Detection in Vivo.

A comprehensive approach for the construction of NIR-I/NIR-II nanofluorophores with exceptional brightness and excellent chemo- and photostability has been developed. This study first confirmed that the amphiphilic molecules with stronger hydrophobic moieties and weaker hydrophilic moieties are superior candidates for constructing brighter nanofluorophores, which are attributed to its higher efficiency in suppressing the intramolecular charge transfer/aggregation-caused fluorescence quenching of donor-acceptor-donor type fluorophores. The prepared nanofluorophore demonstrates a fluorescence quantum yield exceeding 4.5% in aqueous solution and exhibits a strong NIR-II tail emission up to 1300 nm. The superior performance of the nanofluorophore enabled the achievement of high-resolution whole-body vessel imaging and brain vessel imaging, as well as high-contrast fluorescence imaging of the lymphatic system in vivo. Furthermore, their potential for highly sensitive fluorescence detection of tiny tumors in vivo has been successfully confirmed, thus supporting their future applications in precise fluorescence imaging-guided surgery in the early stages of cancer.

Blood leukocytes as a non-invasive diagnostic tool for thyroid nodules: a prospective cohort study.

BACKGROUND: Thyroid nodule (TN) patients in China are subject to overdiagnosis and overtreatment. The implementation of existing technologies such as thyroid ultrasonography has indeed contributed to the improved diagnostic accuracy of TNs. However, a significant issue persists, where many patients undergo unnecessary biopsies, and patients with malignant thyroid nodules (MTNs) are advised to undergo surgery therapy. METHODS: This study included a total of 293 patients diagnosed with TNs. Differential methylation haplotype blocks (MHBs) in blood leukocytes between MTNs and benign thyroid nodules (BTNs) were detected using reduced representation bisulfite sequencing (RRBS). Subsequently, an artificial intelligence blood leukocyte DNA methylation (BLDM) model was designed to optimize the management and treatment of patients with TNs for more effective outcomes. RESULTS: The DNA methylation profiles of peripheral blood leukocytes exhibited distinctions between MTNs and BTNs. The BLDM model we developed for diagnosing TNs achieved an area under the curve (AUC) of 0.858 in the validation cohort and 0.863 in the independent test cohort. Its specificity reached 90.91% and 88.68% in the validation and independent test cohorts, respectively, outperforming the specificity of ultrasonography (43.64% in the validation cohort and 47.17% in the independent test cohort), albeit with a slightly lower sensitivity (83.33% in the validation cohort and 82.86% in the independent test cohort) compared to ultrasonography (97.62% in the validation cohort and 100.00% in the independent test cohort). The BLDM model could correctly identify 89.83% patients whose nodules were suspected malignant by ultrasonography but finally histological benign. In micronodules, the model displayed higher specificity (93.33% in the validation cohort and 92.00% in the independent test cohort) and accuracy (88.24% in the validation cohort and 87.50% in the independent test cohort) for diagnosing TNs. This performance surpassed the specificity and accuracy observed with ultrasonography. A TN diagnostic and treatment framework that prioritizes patients is provided, with fine-needle aspiration (FNA) biopsy performed only on patients with indications of MTNs in both BLDM and ultrasonography results, thus avoiding unnecessary biopsies. CONCLUSIONS: This is the first study to demonstrate the potential of non-invasive blood leukocytes in diagnosing TNs, thereby making TN diagnosis and treatment more efficient in China.

Analysis of microbial community composition and diversity in the rhizosphere of Salvia miltiorrhiza at different growth stages.

Salvia miltiorrhiza is a kind of medicinal plant with various pharmacological activities. Few studies on the composition and diversity of rhizosphere microbial communities at different growth stages have been conducted on Salvia miltiorrhiz; in particular, salviorrhiza grows in soil that has been continuously planted for 3 years. The purpose of this study was to understand the changes of soil physicochemical properties of Salvia miltiorrhiza at different growth stages, and to study the composition and diversity of rhizosphere microbial community at different growth stages. Illumina NovaSeq sequencing technology was used to analyze the bacterial 16S rRNA gene and the fungal ITS region in the rhizosphere soil of Salvia miltiorrhiza at different growth stages. The results showed that the dominant bacterial phyla in the Salvia miltiorrhiza rhizosphere were Proteobacteria, Bacteroidetes, Acidobacteria, Firmicutes, Actinobacteria, and Chloroflexi. The dominant fungal phyla were Ascomycota, Mortierellomycota, Basidiomycota, and Rozellomycota. During the growth of Salvia miltiorrhiza, the physical and chemical properties of soil changed. As the Salvia miltiorrhiza grew, the content of available phosphorus, available potassium, pH, nitrate nitrogen, and ammonium nitrogen significantly decreased. Ammonium nitrogen and nitrate nitrogen had a greater impact on the bacterial community structure in the rhizosphere than on the fungal community structure. The work was to reveal differences in the rhizosphere bacterial and fungal community structure during different growth stages of Salvia miltiorrhiza, further understand the changes of rhizosphere microbial ecological characteristics and soil physicochemical properties during the cultivation of Salvia miltiorrhiza.

Antifungal mechanism of rose, mustard, and their blended essential oils against Cladosporium allicinum isolated from Xinjiang naan and its storage application.

AIMS: To reveal the inhibition mechanism of rose, mustard, and blended essential oils against Cladosporium allicinum isolated from Xinjiang naan, and investigate the effect of the three essential oils on oxidative damage and energy metabolism. METHODS AND RESULTS: Rose and mustard essential oils significantly inhibited mycelial growth and spore viability in a dose-dependent relationship. After essential oil treatment, the cell membrane permeability was altered, and significant leakage of intracellular proteins and nucleic acids occurred. SEM observations further confirmed the disruption of cell structure. ROS, MDA, and SOD measurements indicated that essential oil treatment induced a redox imbalance in C. allicinum, leading to cell death. As for energy metabolism, essential oil treatment significantly reduced Na+K+-ATPase, Ca2+Mg2+-ATPase, MDH activity, and CA content, impairing metabolic functions. Finally, storage experiments showed that all three essential oils ensured better preservation of naan, with mustard essential oil having the best antifungal effect. CONCLUSIONS: Rose and mustard essential oils and their blends can inhibit C. allicinum at multiple targets and pathways, destroying cell morphological structure and disrupting metabolic processes.

Analysis on Foodborne Pathogen Contamination of Food Samples in Longnan City from 2013 to 2022.

The objective was to determine the prevalence of foodborne pathogens in food in Longnan City, Gansu Province, China. In this research, we conducted tests on baked foods, catering foods, meat, and fruits and vegetables sold in supermarkets, farmers' markets, restaurants, retail stores, street stalls, and school canteens from 2013 to 2022. We analyzed the variety of foodborne pathogens (Salmonella, Staphylococcus aureus, Listeria monocytogenes, Bacillus cereus, and diarrheagenic Escherichia coli) in different sites and food types. Once foodborne pathogens were detected in the sample, it was deemed unqualified. The total detection rates of foodborne pathogens were 1.559%, 3.349%, 1.980%, 1.040%, 3.383%, and 1.303% in food from supermarkets, farmers' markets, restaurants, retail stores, street stalls, and school canteens, respectively. No pathogenic bacteria were detected in baked foods. Salmonella, S. aureus, L. monocytogenes, B. cereus, and diarrheagenic E. coli were detected in catering foods, among which B. cereus had the highest detection rate. Salmonella was the most common pathogenic bacteria detected in meat, while the detection rate of pathogenic bacteria in fruits and vegetables was low, with only one positive sample for diarrheagenic E. coli. Among the six sites, street stalls (3.382%) and farmers' markets (3.349%) had higher detection rates of pathogens. In general, the detection rate of pathogens from 2013 to 2022 was not high, but there were also some hidden dangers. Catering food is vulnerable to pathogen contamination, and street stalls and farmers' markets are the main sites of pollution. According to the above findings, the regulatory authorities should continue to strengthen supervision, guarantee food safety through early warning, and reduce the risk of food contamination.

Solid-state nanochannels for bio-marker analysis.

Bio-markers, such as ions, small molecules, nucleic acids, peptides, proteins and cells, participate in the construction of living organisms and play important roles in biological processes. It is of great significance to accurately detect these bio-markers for studying their basic functions, the development of molecular diagnosis and to better understand life processes. Solid-state nanochannel-based sensing systems have been demonstrated for the detection of bio-markers, due to their rapid, label-free and high-throughput screening, with high sensitivity and specificity. Generally, studies on solid-state nanochannels have focused on probes on the inner-wall (PIW), ignoring probes on the outer-surface (POS). As a result, the direct detection of cells is difficult to realize by these inner-wall focused nanochannels. Moreover, the sensitivity for detecting ions, small molecules, nucleic acids, peptides and proteins requires further improvement. Recent research has focused on artificial solid-state nanochannels with POS, which have demonstrated the ability to independently regulate ion transport. This design not only contributes to the in situ detection of large analytes, such as cells, but also provides promising opportunities for ultra-high sensitivity detection with a clear mechanism. In this tutorial review, we present an overview of the detection principle used for solid-state nanochannels, inner-wall focused nanochannels and outer-surface focused nanochannels. Furthermore, we discuss the remaining challenges faced by current nanochannel technologies and provide insights into their prospects.

An analytical overview of the composition and characteristics of China's food safety standards.

This paper discusses the framework of China's food safety standards and provides a brief overview of the problems and developmental characteristics of food safety in China. The composition and characteristics of China's food safety standards are revealed by an analysis of the changes in China's general food standards, an overview of the characteristics of the hygiene requirements in the production and operation process, and an introduction to food product and test method standards. In conclusion, Chinese food safety standards are still being improved, but they must also be effectively implemented and followed up in real time in order to continuously improve the quality of food and reduce food safety incidents. © 2024 Society of Chemical Industry.

Gas chromatography-ion mobility spectrometry (GC-IMS) technique and its recent applications in grain research.

Grains are the primary source of food for most people worldwide and constitute a major source of carbohydrates. Many novel technologies are being employed to ensure the safety and reliability of grain supply and production. Gas chromatography-ion mobility spectrometry (GC-IMS) can effectively separate and sensitively detect volatile organic compounds. It possesses advantages such as speed, convenience, high sensitivity, no pretreatment, and wide applicability. In recent years, many studies have shown that the application of GC-IMS technology for grain flavor analysis can play a crucial role in grains. This article elucidates the working principle of GC-IMS technology, reviews the application of GC-IMS in grains in the past 5 years. GC-IMS technology is mainly applied in four aspects in grains. In grain classification, it distinguishes varieties, quality, origin, production year, and processing methods based on the trace differences in volatile organic compounds, thereby fulfilling various grain classification requirements such as origin tracing, geographical indication product recognition, variety identification, production year identification, and detection of counterfeit and inferior grain samples. In optimizing the processing technology of grains and their products, it can improve food flavor, reduce undesirable flavors, and identify better processing parameters. In grain storage, it can determine the storage time, detect spoilage phenomena such as mold and discoloration during storage, eliminate pests affecting storage, and predict the vitality of seeds after storage. In aroma evaluation of grains and their processed products, it can assess the impact of new raw materials, new technologies, fermentation processes, and even oral processing on the quality of grain products. This article also summarizes the characteristics of GC-IMS technology, compiles typical grain flavor compounds, and provides prospects for the future application of GC-IMS. © 2024 Society of Chemical Industry.

Nocardioides potassii sp. nov., isolated from weathered potash tailings soil.

A Gram-positive, aerobic actinomycete, designated strain KLBMP 9356T, was isolated from weathered potash tailings soil sampled in Xuzhou, Jiangsu Province, PR China. The colonies were cream-coloured, convex and rounded. The optimal growth conditions of strain KLBMP 9356T were 1 % (w/v) NaCl, 28 °C and pH 7. Phylogenetic analysis based on 16S rRNA gene sequences indicated that strain KLBMP 9356T showed the highest similarity to Nocardioides zhouii CGMCC 1.11084T (98.9 %) and Nocardioides glacieisoli CGMCC 1.11097T (98.7 %). Results from two tree-making algorithms supported the position that strain KLBMP 9356T forms a stable clade with N. zhouii CGMCC 1.11084T and N. glacieisoli CGMCC 1.11097T. Strain KLBMP 9356T exhibited low digital DNA-DNA hybridization values with N. zhouii CGMCC 1.11084T (27.6 %) and N. glacieisoli CGMCC 1.11097T (31.4 %). The average nucleotide identity values between strain KLBMP 9356T and N. zhouii CGMCC 1.11084T and N. glacieisoli CGMCC 1.11097T were 83.8% and 85.9%, respectively. The peptidoglycan in the cell wall of the novel strain was ll-2,6-diaminopimelic acid and the predominant menaquinone was MK-8(H4). The major fatty acids (>10 %) were C17:1ω8c and C18:1ω9c. The major polar lipids were diphosphatidylglycerol, phosphatidylglycerol, lyso-phospatidylglycerol and phosphatidylinositol. The genomic DNA G+C content was 71.6 mol%. Based on its morphological, chemotaxonomic and phylogenetic characteristics, strain KLBMP 9356T represents a novel species of the genus Nocardioides, for which the name Nocardioides potassii sp. nov. is proposed. The type strain is KLBMP 9356T (=CGMCC 4.7738T=NBRC 115493T).

Yinghuangia soli sp. nov., isolated from soil of weathering dolomite in a karst area.

A Gram-stain-positive, aerobic actinomycete strain, designated KLBMP 8922T, was isolated from a soil sample collected from weathering dolomite crust in Guizhou Province, PR China. KLBMP 8922T showed the 16S rRNA gene similarities to Yinghuangia seranimata CCTCC AA 206006T (98.7 %), Yinghuangia catbensis VN07A0015T (98.3 %) and Yinghuangia aomiensis M24DS4T (98.2 %). The taxonomic status of this strain was investigated by using a polyphasic approach. The aerial mycelia of KLBMP 8922T formed spore chains, and spores were cylindrical with smooth surfaces. The whole-cell sugars were ribose, mannose and galactose with traces of glucose and xylose. The diagnostic amino acids of the cell wall were ll-diaminopimelic acid, alanine and glutamic acid. The predominant menaquinones were MK-9(H6) and MK-9(H8). The diagnostic phospholipids were diphosphatidylglycerol, phosphatidylinositol, phosphatidylinositolmannoside, phosphatidylethanolamine, an unidentified phospholipid and an unidentified lipid. The major cellular fatty acids (>10 %) were iso-C15 : 0, iso-C16 : 0 and iso-C16 : 1H. The genomic DNA G+C content was 72.0 mol%. The digital DNA-DNA hybridization (dDDH) value between KLBMP 8922T and Y. seranimata CCTCC AA 206006T was 24.1 %, and the average nucleotide identity (ANI) value was 81.0 %. On the basis of a combination of morphological, chemotaxonomic and phylogenetic characteristics, strain KLBMP 8922T represents a novel species of the genus Yinghuangia for which the name Yinghuangia soli sp. nov. is proposed. The type strain was KLBMP 8922T (= CGMCC 1.19360T = NBRC 115572T).

Antribacter soli sp. nov., a novel actinobacterium isolated from soils of weathering dolomite.

Strain KLBMP 9083T, a novel actinobacterium, was isolated from weathered soils collected from a karst area in Anshun, Guizhou Province, PR China. The taxonomic position of strain KLBMP 9083T was studied using the polyphasic approach. Phylogenetic analysis based on the 16S rRNA gene sequence indicated that strain KLBMP 9083T formed a stabilized monophyletic clade with its closest relative strain Antribacter gilvus CGMCC 1.13856T (98.4 % 16S rRNA gene sequence similarity). The peptidoglycan hydrolysates contained alanine, glutamic acid, threonine and lysine. The polar lipids were composed of diphosphatidylglycerol, phosphatidylinositol, phosphatidylinositol mannoside, an unidentified phosphoglycolipid, an unidentified phospholipid and an unidentified glycolipid. The predominant menaquinones were MK-9(H8) (87.1 %), MK-9(H6) (7.3 %) and MK-9(H4) (5.6 %). The major fatty acids (>10 %) were anteiso-C15 : 0 and iso-C15 : 0. The genomic DNA G+C content was 72.3 mol%. The digital DNA-DNA hybridization and average nucleotide identity values between strain KLBMP 9083T and A. gilvus CGMCC 1.13856T were 23.4 and 79.9 %, respectively. On the basis of morphological, chemotaxonomic and phylogenetic characteristics, strain KLBMP 9083T represents a novel species of the genus Antribacter, for which the name Antribacter soli sp. nov. is proposed. The type strain is KLBMP 9083T (=CGMCC 4.7737T=NBRC 115577T).

The prognostic role of the AST/ALT ratio in hepatocellular carcinoma patients receiving thermal ablation combined with simultaneous TACE.

BACKGROUND: To evaluate the prognostic value of the pre-treatment aspartate transaminase (AST)/alanine transaminase (ALT) ratio in hepatocellular carcinoma (HCC) patients receiving radiofrequency ablation (RFA)/microwave ablation (MWA) combined with simultaneous TACE. METHODS: The data for 117 patients were retrospectively analyzed in this study. The endpoint of prognosis was overall survival (OS). The Youden index was used to choose the optimal cut-off value of the pre-treatment AST/ALT ratio for OS prediction. Univariate and multivariate analyses were used to identify independent risk factors, then integrated to establish the nomogram. RESULTS: The AST/ALT ratio cut-off value for OS prediction was 0.89, and patients with a higher AST/ALT ratio had poorer OS. The median OS for the high-value AST/ALT group was not reached, while the median OS for the low-value AST/ALT group was 48.5 months (P = 0.0047). The univariate and multivariate analysis showed that AST/ALT ratio, AFP, and tumor numbers were independent prognostic indicators for OS. The integrated nomogram showed higher predictive accuracy for OS (C-index 0.674, 95%CI: 0.600-0.748). CONCLUSIONS: The preoperative AST/ALT ratio could be a prognostic indicator for HCC patients receiving thermal ablation combined with simultaneous TACE.

Effects of different seasons on bacterial community structure in rose rhizosphere soil.

TO explore the changes of rhizosphere soil bacterial community of Rosa rugosa "Fenghua", Rosa rugosa cv. Plena and Rosa rugosa "Zizhi" in different seasons, the Illumina Miseq sequencing and the correlation network analysis of dominant flora was used. The results showed that the bacterial communities were mainly composed of Proteobacteria, Acidobacteria, Bacteroidetes, and Actinobacteria, with Sphingomonas, GP6, GP4, Novosphingobium, Wps-1_genera_incertae_sedis, and Massilia as the dominant genera. The correlation network analysis showed that, as the dominant group with the highest relative abundance, Sphingomonas had a significant positive correlation with Gemmatimonas, Aridibacter, GP3, GP4, and Flavisolibacter, and a significant negative correlation with Solirubrobacter, indicating that it could work synergistically with a variety of microorganisms to contribute to soil metabolism and the growth and development of roses. The results revealed the diversity of microbial structures in the rhizosphere soil of Rosa rugosa "Fenghua", Rosa rugosa cv. Plena and Rosa rugosa "Zizhi", and this will provide a theoretical basis for exploring the change rules of microbial communities, screening and utilizing beneficial microorganisms, and maintaining the growth and development of roses. KEY POINTS: • Variations from season to season significantly affected the bacterial community structure. • There was less variability in the bacterial community structure between rose varieties. • Sphingomonas was the dominant bacterium in all seasons.

Research progress on the cellular toxicity caused by microplastics and nanoplastics.

Microplastics (MPs) are plastic particles of a diameter of less than 5 mm and a major carrier of pollution. In accordance with its diameter range, MPs can be divided into microplastics (100-5 mm) and nanoplastics (<100 nm). In recent years, in addition to the impact of MPs on the environment, the ways in which MPs affect the body has also attracted continuous attention. However, relevant studies on the cytotoxicity of MPs are not comprehensive. Based on the current research, this paper summarizes four main cytotoxic mechanisms of MPs, inducing oxidative stress, damaging cell membrane organelles, inducing immune response, and genotoxicity. Generally, MPs cause cytotoxicity such as oxidative stress, damage to cell membranes and organelles, activation of immune responses, and genotoxicity through mechanical damage or induction of cells to produce reactive oxygen species. Understanding these toxic mechanisms is helpful for the evaluation and prevention of human toxicity of MPs. This paper also analyzes the limitations of current research and prospects for future research into cellular MPs, with the aim of providing a scientific basis and reference for further research into the toxic mechanism of MPs.

Synergistic Effect of Bio-Inspired Nanochannels: Hydrophilic DNA Probes at Inner Wall and Hydrophobic Coating at Outer Surface for Highly Sensitive Detection.

During the past few decades, bio-inspired nanochannels have been well developed and applied in biosensing, energy transfer, separation, and so on. Here, inspired by the synergistic effect of biological nanopores, biomimetic solid-state nanochannels with hydrophilic DNA probes at the inner wall (DNA@IWHydrophilic ) and hydrophobic coating at the outer surface (None@OSHydrophobic ) are designed. To demonstrate their prompted sensing properties, Hg2+ and its specific probe are selected as target and hydrophilic DNA probes, respectively. Compared with the traditional solid-state nanochannels with hydrophilic probes distributed on both the inner wall and outer surface, the nanochannels with DNA@IWHydrophilic +None@OSHydrophobic significantly decrease the limit of detection (LOD) by 105 -fold. The obvious improvement of sensitivity (with LOD of 1 nM) is attributed to the synergistic effect: None@OSHydrophobic results in the nanochannel's effective diameter decrease and DNA@IWHydrophilic induces a specific sensing target. Meanwhile, nanomolar detection of Hg2+ in human serum and in vivo fish muscle are achieved. Through molecular dynamics simulation, the synergistic effect can be confirmed by ion fluxes increasement; the relative carbon nanotube increases from 135.64% to 135.84%. This work improves the understanding of nanochannels' synergistic effect and provides a significant insight for nanochannels with improved sensitivity.

Self-consistent soliton evolution in single-two-mode fiber lasers.

Ultrafast few-mode fiber lasers have received increasing attention from basic research to practical applications due to their unique pulse performance and intriguing nonlinear dynamics. Here, we experimentally and numerically reveal the formation and evolution behaviors of a soliton in a mode-locked fiber laser composed of two-mode and single-mode fibers. The LP11 pulse walks away from the LP01 pulse in the two-mode fiber due to modal dispersion and then transforms into an auxiliary LP01 pulse after entering the single-mode fiber. After re-entering the two-mode fiber, the LP01 pulse excites the LP11 pulse via mode coupling; therefore, the LP11 pulse also consists of dominant and auxiliary pulses. Such a soliton fiber laser converges to an asymptotic steady state with unlocked spatial modes arising from the interplay between the strong modal dispersion and weak mode coupling.

Synchronous and asynchronous pulsating dual solitons in lasers.

Pulsating solitons are intriguing objects in laser physics and nonlinear science. Recently, emerging works on the pulsating multi-solitons have raised interest in interactions and synchronizations within multiple breathers. However, with their separation of the order of nanoseconds, the evolution and underlying dynamics of multiple pulsating solitons remain uncharted. In this work, we bring initial insights into the pulsating dual-soliton (PDS) with a separation of three orders of magnitude of the pulse duration. Chaotic, synchronous, and asynchronous pulsations are revealed to be controlled by the pump power. Specifically, two solitons can pulsate synchronously in the form of a frozen limit cycle. The asynchronous PDS at a high pump power brings the rotating limit cycle in the phase space. Unveiling the evolutionary dynamics of PDS, this work has potential in all-optical storage, signal encoding, and time division multiplexing communications.

A Diverse Micromorphology of Photonic Crystal Chips for Multianalyte Sensing.

The diversity by nano/microstructural material or device constructing can provide the exciting opportunity for sensitivity and selectivity to achieve facile and efficient multianalyte recognition for clinical diagnosis, environment monitoring, etc., in complex system analysis. Colloidal poly(styrene-methyl methacrylate-acrylic acid) (poly(St-MMA-AA)) nanoparticle-assembled photonic crystals (PCs) can achieve manipulative 3D structural colors and approach PC sensor chip for high-efficient multianalysis utilizing simple dye. Focusing on the morphology effects of structural color, a PC microchip is designed and constructed with various geometrical micromorphologies. Based on the angle dependence of colloidal-crystal structural color, the stopband distribution is explored on various morphological PC pixels. Selective fluorescent enhancement is realized for stopband-matched PCs, which approach the successful discrimination of metal ions and complex multianalysis of groundwater. Meanwhile, printed droplet-shaping manipulation can achieve a large-scale structural-color sensor array of chips with designable nano/microstructures via colloidal assembly. It will be the critical puzzle piece between macromorphology and microstructure for the structural-color researches.

In situ, high-resolution measurement of labile phosphate in sediment porewater using the DET technique coupled with optimized imaging densitometry.

Obtaining two-dimensional distributions of reactive phosphorus in sediment porewater is very important for understanding fine-scale phosphorus mobilization and sequestration processes in sediments. In this study, the diffusive equilibrium in thin films (DET) measurement based on computer imaging densitometry (CID) was studied in detail with optimal conditions described. This study focuses on evaluating the two-dimensional colorimetric DET method coupled with CID (DET-CID method) for porewater labile phosphate measurements. The result shows that the red channel filter is the optimum channel for sensitivity to process the image. Additionally, staining time and temperature have great influence on the method, and 20 min staining time and ≥25 °C staining temperature were recommended. The minimum detection limit of labile phosphate of this method was 0.300 mg P/L, and the maximum detection limit could reach 50.00 mg P/L. The DET-CID technique can be used to measure labile phosphate in a wide range of acidic and alkaline water bodies (pH = 2-10 and water hardness from 0 to 2000 mg/L as CaCO3). The linear regression analysis shows that this technique presents very similar results compared with other two existing methods (R2 = 0.999). Our results would give insights into the precisely measurements of labile phosphate in field applications.