Dynamic confocal Raman spectroscopy of flowing blood in bionic blood vessel

Wang, Hongpeng; Ma, Huanzhen; Fang, Peipei; Xin, Yingjian; Li, Chenhong; Xiong, Wei; He, Zhiping; Jia, Jianjun; Ling, Zongcheng

doi:10.1016/j.saa.2021.119890

Cited by 5 publications

(2 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Peaks at ~1562 cm −1 and ~ 1592 cm −1 indicate Trp pyrrole ring stretching (Liu et al, 2000; Ren et al, 2013). The appearance of ~1473 cm −1 peak is a result of C—H bending and CN stretching (Vasconcelos et al, 2019; Wang et al, 2021) and ~1449 cm‐1 peak is ascribed to CH 3 deformation, CH 2 scissoring, CH 2 bending and CH deformation vibrations (Chen et al, 2015; Notingher et al, 2003; Stewart & Fredericks, 1999). The occurrence of ~1183 cm −1 peak and ~ 1101 cm −1 peak may be accredited to in‐plane C—H bending, (Wang et al, 2020) CH 2 symmetric rocking and CC, CN and CO stretching of overall protein structure (Maiti et al, 2004; Overman & Thomas, 1999).…”

Section: Resultsmentioning

confidence: 99%

Exploring structural features and potential lipid interactions of Pseudomonas aeruginosa type three secretion effector PemB by spectroscopic and calorimetric experiments

et al. 2023

View full text Add to dashboard Cite

Type Three Secretion System (T3SS) is a sophisticated nano‐scale weapon utilized by several gram negative bacteria under stringent spatio‐temporal regulation to manipulate and evade host immune systems in order to cause infection. To the best of our knowledge, this present study is the first report where we embark upon characterizing inherent features of native type three secretion effector protein PemB through biophysical techniques. Herein, first, we demonstrate binding affinity of PemB for phosphoinositides through isothermal calorimetric titrations. Second, we shed light on its strong homo‐oligomerization propensity in aqueous solution through multiple biophysical methods. Third, we also employ several spectroscopic techniques to delineate its disordered and helical conformation. Lastly, we perform a phylogenetic analysis of this new effector to elucidate evolutionary relationship with other organisms. Taken together, our results shall surely contribute to our existing knowledge of Pseudomonas aeruginosa secretome.

show abstract

Section: Resultsmentioning

confidence: 99%

Exploring structural features and potential lipid interactions of Pseudomonas aeruginosa type three secretion effector PemB by spectroscopic and calorimetric experiments

et al. 2023

View full text Add to dashboard Cite

show abstract

“…By establishing a Raman spectra database containing 20 species of blood and constructing a one-dimensional convolution neural network, they realized the recognition of multiple blood species, and the recognition accuracy reached 97.33% [19]. Recently, Wang et al conducted research on dynamic blood Raman spectroscopy, and found that dynamic blood Raman spectroscopy is more suitable for blood species identification than static Raman spectroscopy [20,21]. Researchers are also actively exploring other aspects of species detection methods [22][23][24][25].…”

mentioning

confidence: 99%

Classification method based on Siamese‐like neural network for inter‐species blood Raman spectra similarity measure

Tian

Wang

Tian

et al. 2023

Journal of Biophotonics

View full text Add to dashboard Cite

Analysis of blood species is an extremely important part in customs inspection, forensic investigation, wildlife protection and other fields. In this study, a classification method based on Siamese-like neural network (SNN) for interspecies blood (22 species) was proposed to measure Raman Spectra similarity. The average accuracy was above 99.20% in the test set of spectra (known species) that did not appear in the training set. This model could detect species not represented in the dataset underlying the model. After adding new species to the training set, we can update the training based on the original model without retraining the model from scratch. For species with lower accuracy, SNN model can be trained intensively in the form of enriched training data for that species. A single model can achieve both multiple-classification and binary classification functions. Moreover, SNN showed higher accuracy rates when trained with smaller datasets compared to other methods.

show abstract

Study on the Raman spectral characteristics of dynamic and static blood and its application in species identification

Wang

Fang²,

Yan³

et al. 2022

Journal of Photochemistry and Photobiology B: Biology

View full text Add to dashboard Cite

Dynamic confocal Raman spectroscopy of flowing blood in bionic blood vessel

Cited by 5 publications

References 25 publications

Exploring structural features and potential lipid interactions of Pseudomonas aeruginosa type three secretion effector PemB by spectroscopic and calorimetric experiments

Exploring structural features and potential lipid interactions of Pseudomonas aeruginosa type three secretion effector PemB by spectroscopic and calorimetric experiments

Classification method based on Siamese‐like neural network for inter‐species blood Raman spectra similarity measure

Study on the Raman spectral characteristics of dynamic and static blood and its application in species identification

Contact Info

Product

Resources

About