RSC Advances
·
2021
·Vol. 11
·期 44
·27541-27546
·
IF 3.361
Qingquan Zhang,Jiajia Li,Yuting Su,Xiaoyan Pan,Hongwei Gai
The relatively low sensitivity is the limitation of ELISA in early screening of diseases. Various signal enhancing methods are developed to increase detection sensitivity, but most of them require professional operation and are not compatible with commercial reagent kits or automatic analysis instruments, limiting their application in clinical testing. Here, we present a contactless and user-friendly ball-lens assisted fluorescence enhancing (BFE) method to improve immunoassay sensitivity. The BFE effect is observed in experiment and demonstrated by the simulation. Based on the BFE effect, the detection sensitivity of the immunoassay is improved about 3.6-fold and the limit of detection is lowered by more than 3-fold using commercial reagents and standard ELISA processes. In addition, the BFE effect causes no damage to the linear dependence, specificity and accuracy of clinical plasma measurement. The established method shows a high compatibility with automatic microfluidic immunoassay systems and other signal enhancing techniques, displaying great potential in multi-technique coupling assays and clinical applications.
研究领域:
生物医学工程
·
分析化学
·
临床检验
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DOI
PubMed
高影响因子
LANGMUIR
·
2023
·
IF 3.9
Guoxu Yu,Yuan Ma,Xuan Li,Bowen Yu,Xinping Zhang,Xuanhe Zhang,Yiqing Chen,Zhenwei Liang,Zuobo Pang,Ding Weng,Lei Chen,Jiadao Wang
Micro/nanospherical lens photolithography (SLPL) constitutes an efficient and precise micro/nanofabrication methodology. It offers advantages over traditional nanolithography approaches, such as cost-effectiveness and ease of implementation. By using micrometer-sized microspheres, SLPL enables the preparation of subwavelength scale features. This technique has gained attention due to its potential applications. However, the SLPL process has a notable limitation in that it mostly produces simple pattern shapes, mainly consisting of circular arrays. There has been a lack of theoretical analysis regarding the possible shapes that can be created. In our experiments, we successfully prepared annular and ring-with-hole pattern shapes. To address this limitation, we applied the Mie scattering theory to systematically analyze and summarize the various patterns that can be obtained through the SLPL process. We also proposed methods to predict and obtain different patterns. This theoretical analysis enhances the understanding of SLPL and expands its potential applications, making it a valuable area for further research.
研究领域:
材料科学
·
光学工程
·
纳米技术
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产品关联
DOI
PubMed
高影响因子
JOURNAL OF HAZARDOUS MATERIALS
·
2025
·
IF 11.3
Zhenyong Dong,Feixiang Zheng,Hao Wang,Yukai Liu,Xiao Ren,Feng Lin,Song Zhou,Li Chen,Yan-qing Lu,Guanghui Wang
The use of multiple pesticides in agriculture has caused mixed residues, complicating food safety testing. Surface-enhanced Raman scattering (SERS) offers high sensitivity and fingerprinting capabilities for pesticide detection; however,its application is limited by spot size, uneven sample distribution, spectral analysis challenges in mixed samples, and the lack of integrated automated systems for sample preparation, detection, and analysis. Hence, we developed a SERS microfluidic chip integrated with plasmonic microsphere lens arrays, which integrates optical field-modulated microspheres and plasmonic nanostructures to realise the transition of SERS detection from point-hotspots to uniform area-hotspots, achieving high-sensitivity, high-stability Raman detection under wide-field laser excitation. Moreover, a comprehensive a sample-to-answer total analysis system was established with this chip as the core, incorporating the micro-QuEChERS pretreatment module for efficient extraction of pesticides in complex matrices and the random forest-dual annealing spectral parsing algorithm for mixed spectral analysis. The results indicate that the limits of detection for 2,4-dichlorophenoxyacetic acid, acetamiprid, and thiabendazole were 1.15 nM, 0.63 nM, and 0.69 nM, respectively. The linear ranges were 10⁻⁴–10⁻⁹ M, with R² values of 0.9982, 0.9989, and 0.9996, respectively. Average recoveries ranged from 90.8 % -104.66 %, 89.1 %-107.89 %, and 89.73 %-108.4 %, respectively, with relative standard deviations below 8 %. The algorithm quantified mixed pesticides with mean absolute percentage errors of 4.96 %, 5.35 %, and 7.72 %, respectively. The system showed 3 s detection response and 15-minute analysis time. Thus, the method provides a rapid, on-site solution for detecting mixed pesticides in complex matrices by exceptional optical performance and automated processing functionality.
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产品关联
DOI
PubMed
高影响因子
危险品化学品经营许可证（带存储）