Research on Measurement Conditions for Obtaining Significant, Stable, and Repeatable SERS Signal of Human Blood Serum

Jin, Hong; Lu, Qipeng; Jin, Shangzhong; Song, Zhengbo; Zou, Yanqiu; Ding, Hu; Gao, Hongzhi; Chen, Xingdan

doi:10.1109/jphot.2017.2672900

Cited by 10 publications

(4 citation statements)

References 33 publications

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“…Raman peaks, such as the uric acid peak at 637 cm −1 (higher intensity in cancer patients), also have a certain degree of difference between cancer and benign, indicating that the serum uric acid content is higher in lung cancer patients. This phenomenon may be related to the disorder of purine metabolism in lung cancer patients [ 23 ]. Therefore, this shows that it is feasible to use Raman spectroscopy to distinguish benign from malignant.…”

Section: Resultsmentioning

confidence: 99%

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Application of Surface-Enhanced Raman Spectroscopy in the Screening of Pulmonary Adenocarcinoma Nodules

Peng

Yan

Lin

et al. 2022

BioMed Research International

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This study is aimed at evaluating the feasibility of a screening method for the pulmonary adenocarcinoma nodules through surface-enhanced Raman spectroscopy (SERS). Objective. Using SERS to measure serum from pulmonary nodules and healthy subjects, intraoperative biopsy pathological diagnosis was regarded as the gold standard for labeling serum samples. To explore the application value of SERS in the differential diagnosis of pulmonary adenocarcinoma nodules, benign nodules, and healthy, we build a machine learning model. Method. We collected 116 serum samples from patients. Radiographically confirmed nodules less than 3 cm in maximum diameter in all patients, including 58 cancer (pathologic diagnosis: adenocarcinoma nodules, labeled as cancer) patients, 58 pathologic diagnoses as benign nodule (labeled as benign) patients, and 63 healthy (labeled as normal) people from the clinical laboratory of Sichuan Cancer Hospital. Gold nanorods were employed as SERS substrates. Support vector machine (SVM) was used to classify the normal, benign, and cancer sample groups, and SVM model evaluated using cross-validation. Results. The average SERS spectra of serum were significantly different between the normal group and the cancer/benign group. While the average SERS spectra of the cancer group and the benign group differed slightly, for the cancer, benign, and normal groups, SVM models can predict with 93.33% accuracy. Conclusion. This exploratory study demonstrates that the SERS technique based on nanoparticles in conjunction with SVM has great potential as a clinical auxiliary diagnosis and screening for pulmonary adenocarcinoma nodules.

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Section: Resultsmentioning

confidence: 99%

“…BioMed Research International disorder of purine metabolism in lung cancer patients [23]. Therefore, this shows that it is feasible to use Raman spectroscopy to distinguish benign from malignant.…”

Section: Raman Spectroscopy and Statistical Analysismentioning

confidence: 99%

Application of Surface-Enhanced Raman Spectroscopy in the Screening of Pulmonary Adenocarcinoma Nodules

Peng

Yan

Lin

et al. 2022

BioMed Research International

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“…ProcessDesigner focuses on the management and simulation of resources and processes: Build a model. The required 3D model format in Tecnomatix is a cojt or co file, and a 3D model can be established through Catia and other 3D modeling software first and then can be converted into a cojt or co file [ 20 ]. Build a resource library.…”

Section: Results Analysismentioning

confidence: 99%

“…Build a model. The required 3D model format in Tecnomatix is a cojt or co file, and a 3D model can be established through Catia and other 3D modeling software first and then can be converted into a cojt or co file [ 20 ].…”

Section: Results Analysismentioning

confidence: 99%

Research on Virtual Human Motion Control Based on Computer-Assisted Multimedia Simulation

Jin

Zheng

2022

Computational Intelligence and Neuroscience

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In order to reproduce realistic human motion in a virtual environment, a study of virtual human motion control based on computer-aided ergonomics simulation is proposed. First, we establish the required human body, workpiece, and production line simulation environment, and on this basis, we use OWAS, BSHA, and other analysis tools to carry out ergonomic simulation of virtual human motion simulation research, seek solutions to man-machine problems, and provide a new, efficient, and quantitative evaluation method for production line planning. The simulation results show that during the operation of virtual human 1, the ratio of the actual load on the left and right hands to the ultimate load has reached up to 70%. Therefore, it is necessary to revise the production line plan, and through analysis, it is concluded that the reason for the bad posture is due to the low height of the storage point and the machine tool. We believe that with continuous development, ProcessSimulate and ProcessDesigner will play a greater role in enterprise digitization.

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Machine learning–assisted internal standard calibration label-free SERS strategy for colon cancer detection

Peng

Zhang

et al. 2023

Anal Bioanal Chem

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Research on Measurement Conditions for Obtaining Significant, Stable, and Repeatable SERS Signal of Human Blood Serum

Cited by 10 publications

References 33 publications

Application of Surface-Enhanced Raman Spectroscopy in the Screening of Pulmonary Adenocarcinoma Nodules

Application of Surface-Enhanced Raman Spectroscopy in the Screening of Pulmonary Adenocarcinoma Nodules

Research on Virtual Human Motion Control Based on Computer-Assisted Multimedia Simulation

Machine learning–assisted internal standard calibration label-free SERS strategy for colon cancer detection

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