DataSheet1_Occurrence and Risk Assessment of per- and Polyfluoroalkyl Substances in Water Source Protection Area of Southeastern China.docx

In order to clarify the pollution characteristics and human health risks of PFASs pollutants in typical drinking water sources in Zhejiang Province, this study relies on ultra -performance liquid chromatography-mass spectrometry (UPLC-MS/MS) technology to analyze the pollution of 26 PFASs in 7 reservoirs in Zhejiang Province. The detected concentrations of PFASs were evaluated to further assess the human health risks. Total PFASs concentrations in the seven reservoirs ranged from 1.30 ng L−1–24.90 ng L−1. Among the 26 PFASs pollutants analyzed, PFOA and PFBA were the main PFASs pollutants, the detected concentrations of PFOA and PFBS ranging from 0.50 ng L−1–13.70 ng L−1 and 0 ng L−1–1.70 ng L−1, respectively. Then we evaluated 15 PFASs and calculated the results of the HQ value of the reproductive toxicity and hepatotoxicity of the total PFASs in this study ranged from 2.30 × 10–8 to 1.16 × 10–4 and 9 × 10–8 to 5.24 × 10–4 respectively, which were both lower than 0.01, indicating that there is no significant risk to the human body.</p

DataSheet1_An Efficient Score Test Integrated with Empirical Bayes for Genome-Wide Association Studies.docx

Many methods used in multi-locus genome-wide association studies (GWAS) have been developed to improve statistical power. However, most existing multi-locus methods are not quicker than single-locus methods. To address this concern, we proposed a fast score test integrated with Empirical Bayes (ScoreEB) for multi-locus GWAS. Firstly, a score test was conducted for each single nucleotide polymorphism (SNP) under a linear mixed model (LMM) framework, taking into account the genetic relatedness and population structure. Then, all of the potentially associated SNPs were selected with a less stringent criterion. Finally, Empirical Bayes in a multi-locus model was performed for all of the selected SNPs to identify the true quantitative trait nucleotide (QTN). Our new method ScoreEB adopts the similar strategy of multi-locus random-SNP-effect mixed linear model (mrMLM) and fast multi-locus random-SNP-effect EMMA (FASTmrEMMA), and the only difference is that we use the score test to select all the potentially associated markers. Monte Carlo simulation studies demonstrate that ScoreEB significantly improved the computational efficiency compared with the popular methods mrMLM, FASTmrEMMA, iterative modified-sure independence screening EM-Bayesian lasso (ISIS EM-BLASSO), hybrid of restricted and penalized maximum likelihood (HRePML) and genome-wide efficient mixed model association (GEMMA). In addition, ScoreEB remained accurate in QTN effect estimation and effectively controlled false positive rate. Subsequently, ScoreEB was applied to re-analyze quantitative traits in plants and animals. The results show that ScoreEB not only can detect previously reported genes, but also can mine new genes.</p

Presentation1_An Efficient Score Test Integrated with Empirical Bayes for Genome-Wide Association Studies.pdf

Many methods used in multi-locus genome-wide association studies (GWAS) have been developed to improve statistical power. However, most existing multi-locus methods are not quicker than single-locus methods. To address this concern, we proposed a fast score test integrated with Empirical Bayes (ScoreEB) for multi-locus GWAS. Firstly, a score test was conducted for each single nucleotide polymorphism (SNP) under a linear mixed model (LMM) framework, taking into account the genetic relatedness and population structure. Then, all of the potentially associated SNPs were selected with a less stringent criterion. Finally, Empirical Bayes in a multi-locus model was performed for all of the selected SNPs to identify the true quantitative trait nucleotide (QTN). Our new method ScoreEB adopts the similar strategy of multi-locus random-SNP-effect mixed linear model (mrMLM) and fast multi-locus random-SNP-effect EMMA (FASTmrEMMA), and the only difference is that we use the score test to select all the potentially associated markers. Monte Carlo simulation studies demonstrate that ScoreEB significantly improved the computational efficiency compared with the popular methods mrMLM, FASTmrEMMA, iterative modified-sure independence screening EM-Bayesian lasso (ISIS EM-BLASSO), hybrid of restricted and penalized maximum likelihood (HRePML) and genome-wide efficient mixed model association (GEMMA). In addition, ScoreEB remained accurate in QTN effect estimation and effectively controlled false positive rate. Subsequently, ScoreEB was applied to re-analyze quantitative traits in plants and animals. The results show that ScoreEB not only can detect previously reported genes, but also can mine new genes.</p

Construction of Multifunctional Hydrogels via a Supramolecular Self-Assembled Strategy with Ultrahigh Sensitivity to Strain Responsiveness

Intelligent electronic devices have been diffusely used in health detection, energy storage, and biomedicine based on their autonomy, flexibility, and adaptive improvement, but traditional materials have the drawbacks of limited flexibility, instability, and inadequate reusability. Herein, poly(acrylic acid)-based hydrogels with efficient self-healing performance and high-precision sensing performance were constructed by a supramolecular self-assembled strategy based on electrostatic interactions, metal coordination, and hydrogen bonds. This hydrogel exhibited a tensile strength of 102.9 kPa and an elongation at break of 990% with good fatigue resistance and self-recovery ability. The hydrogel also displayed good light transmission and UV-shielding effects, as well as good adhesion ability on different materials. Besides, the hydrogel had an electrical conductivity of 0.98 S/m, which could light up a light-emitting diode (LED) bulb when connected in a circuit. Based on these great features, the hydrogel exhibited ultrahigh sensitivity with gauge factor values of 4.00 and 17.00 within the strain ranges of 0–200 and 600–800%, respectively. The hydrogel could be applied not only for large human movements but also for detecting subtle movements. Most importantly, the hydrogel exhibited a great self-healing property, which could almost self-heal within 6 h with a healing efficiency of 99%. Therefore, this work provides a multifunctional hydrogel construction method, and the prepared hydrogels displayed great potential application in the strain sensor field

Self-Healing and Self-Adhesion Conductive Hydrogels Reinforced by Carboxylated Carbon Nanotubes for High-Performance Wearable Strain Sensors

Hydrogels with good mechanical properties, self-adhesion, and self-healing properties show broad prospects in the fabrication of sensors. Herein, PAA/PVA-Al-cCNT hydrogels were constructed and fabricated based on the combination of hydrogen bond and metal coordination in this study. Due to the introduction of Al3+ and cCNTs, the prepared PAA/PVA-Al-cCNT hydrogels exhibited good mechanical properties (tensile strength of 179.7 kPa and elongation at break of 634%), good self-adhesion toward various substances including human skin, rubber, stone, metal, leaves, plastic, etc., great conductivity (1.69 S/m), and high self-healing efficiency (96% at 20 h). The hydrogels can be used to assemble sensors with wide response range and high sensitivity. Based on the self-healing ability, the self-healed hydrogel sensor could detect the human motion as the original one, which has great application potential in the field of flexible strain and pressure sensing

Comparative metabolic profiling of root, leaf, fruit, and stem tissues of <i>Panax notoginseng</i>

Panax notoginseng is highly used in traditional Chinese medicine, and its root is valued for ginsenoside contents. However, evidence suggests that other plant parts such as fruit, leaves, and stem are also potential sources of bioactive compounds. Therefore, this study aimed at providing insight into the differential accumulation of metabolites in fruit, leaf, root, and stem tissues collected from P. notoginseng. A total of 808 metabolites from 11 major metabolite classes were identified. Furthermore, 32 Ginsenosides with six conserved Ginsenosides Rg1, Rf, St-3, R1, Ro, Rc, and five conserved notoginsenosides R1, K, M, E, Rb1, were identified with differential accumulation in fruit, leaf, stem, and root tissues. Several other metabolites known for their potential roles in human health were also identified as differentially accumulated in the tissues. Furthermore, the accumulation pattern of ginsenosides in different tissues is highly suggestive of utilizing fruit, leaf, and stem tissues along with roots for value addition of P. notoginseng.</p

Light-Induced Helix Formation

This study shows that incorporation of [Rub2m-OH]2+ at the N-terminus of the Fs peptide enhances its stability by ∼0.15 kcal/mol through the mechanism of dipole−dipole coupling at the excited state, suggesting that photoinduced charge generation at a well-controlled and specific location provides a convenient means to trigger helix-coil transition on nanosecond or even faster time scales

Construction of Multifunctional Hydrogels via a Supramolecular Self-Assembled Strategy with Ultrahigh Sensitivity to Strain Responsiveness

Intelligent electronic devices have been diffusely used in health detection, energy storage, and biomedicine based on their autonomy, flexibility, and adaptive improvement, but traditional materials have the drawbacks of limited flexibility, instability, and inadequate reusability. Herein, poly(acrylic acid)-based hydrogels with efficient self-healing performance and high-precision sensing performance were constructed by a supramolecular self-assembled strategy based on electrostatic interactions, metal coordination, and hydrogen bonds. This hydrogel exhibited a tensile strength of 102.9 kPa and an elongation at break of 990% with good fatigue resistance and self-recovery ability. The hydrogel also displayed good light transmission and UV-shielding effects, as well as good adhesion ability on different materials. Besides, the hydrogel had an electrical conductivity of 0.98 S/m, which could light up a light-emitting diode (LED) bulb when connected in a circuit. Based on these great features, the hydrogel exhibited ultrahigh sensitivity with gauge factor values of 4.00 and 17.00 within the strain ranges of 0–200 and 600–800%, respectively. The hydrogel could be applied not only for large human movements but also for detecting subtle movements. Most importantly, the hydrogel exhibited a great self-healing property, which could almost self-heal within 6 h with a healing efficiency of 99%. Therefore, this work provides a multifunctional hydrogel construction method, and the prepared hydrogels displayed great potential application in the strain sensor field

Self-Healing and Self-Adhesion Conductive Hydrogels Reinforced by Carboxylated Carbon Nanotubes for High-Performance Wearable Strain Sensors

Hydrogels with good mechanical properties, self-adhesion, and self-healing properties show broad prospects in the fabrication of sensors. Herein, PAA/PVA-Al-cCNT hydrogels were constructed and fabricated based on the combination of hydrogen bond and metal coordination in this study. Due to the introduction of Al3+ and cCNTs, the prepared PAA/PVA-Al-cCNT hydrogels exhibited good mechanical properties (tensile strength of 179.7 kPa and elongation at break of 634%), good self-adhesion toward various substances including human skin, rubber, stone, metal, leaves, plastic, etc., great conductivity (1.69 S/m), and high self-healing efficiency (96% at 20 h). The hydrogels can be used to assemble sensors with wide response range and high sensitivity. Based on the self-healing ability, the self-healed hydrogel sensor could detect the human motion as the original one, which has great application potential in the field of flexible strain and pressure sensing

Light-Induced Helix Formation

This study shows that incorporation of [Rub2m-OH]2+ at the N-terminus of the Fs peptide enhances its stability by ∼0.15 kcal/mol through the mechanism of dipole−dipole coupling at the excited state, suggesting that photoinduced charge generation at a well-controlled and specific location provides a convenient means to trigger helix-coil transition on nanosecond or even faster time scales