Absolute quantification of Neuron-specific enolase based on surface plasmon resonance
Neuron-specific enolase (NSE) is currently the most reliable biomarker for small cell lung cancer (SCLC), which is important for disease monitoring, clinical evaluation and diagnosis. However, traditional methods suffer from various disadvantages, including instability, complexity, time-consuming op...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-01-01
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| Series: | SLAS Discovery |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2472555224000674 |
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| author | Cui Lin Yijie Wang Tao Peng Pengpeng Liu Yuanyuan Liang Wencheng Kang Xiaoping Yu Yang Song Xuping Shentu |
| author_facet | Cui Lin Yijie Wang Tao Peng Pengpeng Liu Yuanyuan Liang Wencheng Kang Xiaoping Yu Yang Song Xuping Shentu |
| author_sort | Cui Lin |
| collection | DOAJ |
| description | Neuron-specific enolase (NSE) is currently the most reliable biomarker for small cell lung cancer (SCLC), which is important for disease monitoring, clinical evaluation and diagnosis. However, traditional methods suffer from various disadvantages, including instability, complexity, time-consuming operations, and the necessity for standards. In this study, we developed a calibration-free concentration analysis (CFCA) method based on surface plasmon resonance (SPR) technology, to accurately quantify the active concentration of NSE without relying on any standards. Based on the principle of CFCA, the active concentration of NSE can be calculated by observing binding rate variations at two flow rates under partial mass transport limitation and combining it with the known diffusion coefficient of the NSE. Using the method of CFCA, the active concentration of NSE was determined was only 0.48 mg/mL with an intra-day repeatability of 4.75%. The method has the advantages of simplicity, rapidity, realistic analysis and ease of implementation of high-throughput automated detection. Therefore, the method is expected to become the main measurement method for protein active concentration, which will be beneficial for the development of active protein standards. |
| format | Article |
| id | doaj-art-1b7347f6ee28436cbd1167d4797bb40d |
| institution | Kabale University |
| issn | 2472-5552 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | SLAS Discovery |
| spelling | doaj-art-1b7347f6ee28436cbd1167d4797bb40d2025-01-23T05:27:26ZengElsevierSLAS Discovery2472-55522025-01-0130100205Absolute quantification of Neuron-specific enolase based on surface plasmon resonanceCui Lin0Yijie Wang1Tao Peng2Pengpeng Liu3Yuanyuan Liang4Wencheng Kang5Xiaoping Yu6Yang Song7Xuping Shentu8Zhejiang Provincial Key Laboratory of Biometrology and Inspection and Quarantine, College of Life Science, China Jiliang University, Hangzhou, 310018, ChinaZhejiang Provincial Key Laboratory of Biometrology and Inspection and Quarantine, College of Life Science, China Jiliang University, Hangzhou, 310018, ChinaCenter for Advanced Measurement Science, Technology Innovation Center of Mass Spectrometry for State Market Regulation, National Institute of Metrology, Beijing, 100029, ChinaZhejiang Fangyuan Test Group Co., Ltd, Hangzhou, 310018, China; Key Laboratory of Biosafety detection for Zhejiang Market Regulation, Hangzhou, 310018, ChinaZhejiang Fangyuan Test Group Co., Ltd, Hangzhou, 310018, China; Key Laboratory of Biosafety detection for Zhejiang Market Regulation, Hangzhou, 310018, ChinaInner Mongolia Autonomous Region Institute of Metrology and Testing, Inner Mongolia Autonomous Region, 010050, ChinaZhejiang Provincial Key Laboratory of Biometrology and Inspection and Quarantine, College of Life Science, China Jiliang University, Hangzhou, 310018, ChinaZhejiang Provincial Key Laboratory of Biometrology and Inspection and Quarantine, College of Life Science, China Jiliang University, Hangzhou, 310018, China; Corresponding authors.Zhejiang Provincial Key Laboratory of Biometrology and Inspection and Quarantine, College of Life Science, China Jiliang University, Hangzhou, 310018, China; Corresponding authors.Neuron-specific enolase (NSE) is currently the most reliable biomarker for small cell lung cancer (SCLC), which is important for disease monitoring, clinical evaluation and diagnosis. However, traditional methods suffer from various disadvantages, including instability, complexity, time-consuming operations, and the necessity for standards. In this study, we developed a calibration-free concentration analysis (CFCA) method based on surface plasmon resonance (SPR) technology, to accurately quantify the active concentration of NSE without relying on any standards. Based on the principle of CFCA, the active concentration of NSE can be calculated by observing binding rate variations at two flow rates under partial mass transport limitation and combining it with the known diffusion coefficient of the NSE. Using the method of CFCA, the active concentration of NSE was determined was only 0.48 mg/mL with an intra-day repeatability of 4.75%. The method has the advantages of simplicity, rapidity, realistic analysis and ease of implementation of high-throughput automated detection. Therefore, the method is expected to become the main measurement method for protein active concentration, which will be beneficial for the development of active protein standards.http://www.sciencedirect.com/science/article/pii/S2472555224000674Calibration-free concentration analysisAbsolute quantificationSurface plasmon resonanceNeuron-specific enolaseActive protein |
| spellingShingle | Cui Lin Yijie Wang Tao Peng Pengpeng Liu Yuanyuan Liang Wencheng Kang Xiaoping Yu Yang Song Xuping Shentu Absolute quantification of Neuron-specific enolase based on surface plasmon resonance SLAS Discovery Calibration-free concentration analysis Absolute quantification Surface plasmon resonance Neuron-specific enolase Active protein |
| title | Absolute quantification of Neuron-specific enolase based on surface plasmon resonance |
| title_full | Absolute quantification of Neuron-specific enolase based on surface plasmon resonance |
| title_fullStr | Absolute quantification of Neuron-specific enolase based on surface plasmon resonance |
| title_full_unstemmed | Absolute quantification of Neuron-specific enolase based on surface plasmon resonance |
| title_short | Absolute quantification of Neuron-specific enolase based on surface plasmon resonance |
| title_sort | absolute quantification of neuron specific enolase based on surface plasmon resonance |
| topic | Calibration-free concentration analysis Absolute quantification Surface plasmon resonance Neuron-specific enolase Active protein |
| url | http://www.sciencedirect.com/science/article/pii/S2472555224000674 |
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