Nonlinear optics properties of Ni-Sb2Se3 nanofilms in the near-infrared region.

S b 2 S e 3 is an emerging material in recent years, and past studies have shown that it has good optoelectronic properties when doped with metals. In this paper, pure S b 2 S e 3 films and N i-S b 2 S e 3 films with different doping contents (1, 2, 3 W) were prepared by magnetron sputtering technology. The nonlinear optics properties of the sample films were investigated using femtosecond (fs) Z-scan technology under 800 nm. The results showed that both pure S b 2 S e 3 and doped films exhibited reverse saturated absorption (RSA), and the occurrence of the reverse saturated absorption behavior of the doped films was mainly due to two-photon absorption (TPA), free carrier absorption (FCA), and the presence of defective energy levels. Compared with pure S b 2 S e 3 films, N i-S b 2 S e 3 films exhibit significantly enhanced nonlinear absorption properties and nonlinear refractive properties. By increasing Ni sputtering power and incident laser energy, the nonlinear optic properties of N i-S b 2 S e 3 films are enhanced. By testing the sample films using SEM, XRD, and UV-Vis techniques, we found that Ni metal doping greatly improved and optimized the crystallinity of the films and adjusted the optical band gap.

Metabolomics study of fibroblasts damaged by UVB and BaP.

We have recently shown that both UVB and BaP can induce the production of ROS, apoptosis and even cancer. However, the differences in the metabolic profiles of skin damaged by UVB, BaP or UVB combined with BaP have not been studied. Therefore, we examined the metabolic changes in the human foreskin fibroblast injured by UVB or BaP or the combination of the two, using ultra performance liquid chromatography (UPLC) coupled with quadrupole time-of-flight mass spectrometry (qTOF-MS). 24 metabolites were altered in the UVB damage group, 25 in the BaP damage group, and 33 in the UVB combined with BaP group. These alterations indicated that the metabolic mechanisms of HFF-1 cells treated with UVB or BaP are related to multiple main metabolites including glycerophosphocholine (PC), lactosylceramide (LacCer), guanidinosuccinic acid (GSA), glutathione(GSH), and lysophosphatidylcholine (LysoPC) and the main mechanisms involved glycerophospholipid and glutathione metabolism. Thus, our report provided useful insight into the underlying mechanisms of UVB and BaP damage to skin cells.

Lipidomics reveals the role of glycoceramide and phosphatidylethanolamine in infantile acne.

BACKGROUND: Infantile acne refers to a skin disease that usually occurs on the face from 6 weeks to 1 year old, and the etiology of infantile acne is different from that of puberty acne. The change of skin surface lipid (SSL) is an important factor in the occurrence of acne. OBJECTIVES: Comparison of facial skin lipid changes in healthy and acne-prone infants, screening for possible groupings of substances, to explore factors associated with the development of acne in infants, such as gender and frequency of face washing. METHODS: A questionnaire was used to obtain information about the infant, facial lipids were affixed with adhesive tape, and the samples were analyzed using Ultraperformance liquid chromatography-quadrupole time-of-flight mass spectrometry (UPLC-QTOF-MS), with subsequent data analyzed by single-factor and multifactor analysis. RESULTS: It was observed that some lipids followed the trend of lipid master classes, subclasses and were significantly different. Galactosylceramides, glycosylceramides and phosphatidylethanolamine were screened as the majority of differentiating lipid species. Additionally, it was emphasized that the frequency of face washing and parent's acne was independent with the severity of acne in infant by clinical characteristics, whereas the skin type and gender can affect the severity of acne statistically. CONCLUSIONS: Facial lipids change significantly between infantile acne and healthy infants, suggesting that qualitative and quantitative changes in lipids are strongly associated with the development of acne and may exacerbate the environment in which acne occurs.

Exploration of potential lipid biomarkers for premature canities by UPLC-QTOF-MS analyses of hair follicle roots.

BACKGROUND: The rate of premature greying, referred to as canities, varies among populations, and effective treatments are lacking. However, few studies at the molecular level have been reported. OBJECTIVES: Comparing lipid profiles of individuals with premature canities and healthy volunteers to explore the mechanism of premature canities. METHODS: Ultra-performance liquid chromatography/quadrupole time-of-flight mass spectrometry (UPLC-QTOF-MS) was used to detect lipids in the hair follicle root. Multivariate data analysis was used to show lipid changes in follicle roots. RESULTS: We identified lipids in the hair follicle root that differ between black and white hair and analysed key lipids contributing to white hair development. We divided the samples into three groups: PC-WH (Premature canities-White hair), PC-PH (Premature canities-Pigmented hair), Control-PH (Pigmented hair). Phosphatidylethanolamine (PE), phosphatidylcholine (PC), vitamin D3 (VD3) and cholesterol in Control-PH were higher than those in PC-WH. Sphingomyelin (SP), phosphatidic acid (PA), VD3 and diglyceride (DG) were lower in PC-WH than in PC-PH. Levels of VD3 were highest in Control-PH, gradually decreased as the severity of PC-PH increased and were lowest in PC-WH. CONCLUSION: There are 7 main class candidate compounds involved in the generation of white hair. VD3 showed a substantial decrease in white hair and was a potential target for further studies of premature canities.

Prediction of neonatal acne based on maternal lipidomic profiling.

BACKGROUND: Neonatal acne occurs in the first few weeks after birth. Some lesions are more serious and leave scars. Maternal surface skin lipids (SSL) have a strong correlation with SSL of infants. The establishment of prediction rank model based on maternal SSL is essential to the prevention and treatment of neonatal acne. METHOD: Surface skin lipids samples were collected from the mothers (M) of 56 neonatal acne patients and the mothers (HM) of 19 healthy infants. Surface skin lipids from the right forehead were collected using a noninvasive method. UPLC-QTOF-MS was applied to detect SSL. Partial least squares discriminant analysis and receiver operating characteristic (ROC) analysis were performed to screen and validate potential lipids. Random forest (RF) and ROC analysis were used to establish a prediction model and evaluate its accuracy. RESULTS: Sixteen altered potential lipids belonging to fatty acids, sphingomyelins, and glycerides were associated with M. M had less lipids than HM. Spearman's correlation of 16 lipids revealed 9 with high correlation. They were chosen as characteristic values of the RF prediction model. And the model showed an average accuracy of 98% in the validation set. CONCLUSION: We have established an RF model for predicting neonatal acne and have shown that high skin barrier-related lipids were markers for predicting neonatal acne.

Application of lipidomics to reveal differences of facial skin surface lipids between atopic dermatitis and healthy infants.

BACKGROUND: The current knowledge about potential risk factors for atopic dermatitis (AD) is primarily based on the structure and function of the stratum corneum, which is characterized by osmotic defects and abnormal antibacterial function. There are no studies on the difference between facial lipids in infants with AD and healthy infants. AIMS: We sought to explore significantly different lipid markers for infants with AD presenting with lesions and healthy infants aged 0-2 years to guide treatment strategies. METHODS: Twenty-eight patient infants with AD and 32 healthy infants were recruited. Each infant received its surface skin lipids (SSL) on the right cheek. The components of skin lipids were measured by ultra-performance liquid chromatography-quadrupoletime-of-flight mass spectrometry (UPLC-Q-TOF-MS) to explore significantly different lipid markers by analyzing the detection results using orthogonal partial least squares analysis(OPLS-DA). RESULTS: There were clear distinctions in the components of SSL between the two groups. Twenty-nine significantly different lipid markers (P ≤ .05) were found. CONCLUSION: This study confirmed that there were significant differences in the components of the SSL between AD infants with lesions and healthy infants, but also found lipid types, lipid contents, and lipid structures as AD-related risks.