Combined negative dielectrophoresis with a flexible SERS platform as a novel strategy for rapid detection and identification of bacteria

Nowicka, Ariadna B.; Czaplicka, Marta; Szymborski, Tomasz; Kamińska, Agnieszka

doi:10.1007/s00216-021-03169-y

Cited by 19 publications

(9 citation statements)

References 71 publications

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“… Raman Shift (cm −1 ) Band Assignment Refs. 530 Silicon substrate [39] 670 COO-bending in tyrosine, Guanine vibration [39] , [40] , [41] , [42] 956 C—N stretching, C C deformation [39] , [40] , [41] 1006 ν(C—C—O) [43] 1096 Stretching of O—P—O − , C—O—C stretch from glycosidic link [44] 1364 V (COO–), δ (C—H) [45] 1390 COO-stretching [42] 1442 δ (CH2) [45] 1564 (C C) stretch [43] 1712 Amide I [42] 2120/2198/2244/2276 C C [46] *Note: characteristic peaks that were shown in Fig. 4 B but not listed in the table were those that could not be identified in the literature.…”

Section: Resultsmentioning

confidence: 99%

“… Raman Shift (cm −1 ) Band Assignment Refs. 486 C—O—C ring deformation [50] 530 Silicon substrate [39] 678/680 COO– bending in tyrosine, guanine vibration [39] , [40] , [41] , [42] 736 Adenine [41] 826 Phosphodiester [51] 982/1006 ν(C—C—O) [43] 1140 C—C stretching [52] 1344/1346 V (COO–), δ (C—H) [45] 1440 δ (CH2) [45] 1562 (C C) stretching [43] 1590 CC str + NH2 bend, Phenylalanine, Amide II [44] , [53] 2120/2198 C C [46] …”

Section: Resultsmentioning

confidence: 99%

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Machine learning analysis of SERS fingerprinting for the rapid determination of Mycobacterium tuberculosis infection and drug resistance

Wang

Zhang

Tang

et al. 2022

Computational and Structural Biotechnology Journal

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Machine learning analysis of SERS fingerprinting for the rapid determination of Mycobacterium tuberculosis infection and drug resistance

Wang

Zhang

Tang

et al. 2022

Computational and Structural Biotechnology Journal

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“…Figure 6C(ii) shows the enhancing effects of DEP on FI values of captured E. coli , they tested plain and functionalized sensor wires, achieving successful detection of E. coli cells within 25 min. Another hybrid device developed for food safety applications was reported by Nowicka et al [75], with a system that combined nDEP with surface‐enhanced Raman spectroscopy (SERS) detection for the label‐free identification of bacteria in apple juice. Radial DEP forces allowed for precise and controlled deposition of the cells onto the SERS platform, achieving isolation of E. coli in only 3 min.…”

Section: Electrode‐based Electrokinetic Analysis Of Intact Microorganismsmentioning

confidence: 99%

Microscale electrokinetic‐based analysis of intact cells and viruses

Vaghef-Koodehi

Lapizco‐Encinas

2021

Electrophoresis

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Miniaturized electrokinetic methods have proven to be robust platforms for the analysis and assessment of intact microorganisms, offering short response times and higher integration than their bench‐scale counterparts. The present review article discusses three types of electrokinetic‐based methodologies: electromigration or motion‐based techniques, electrode‐based electrokinetics, and insulator‐based electrokinetics. The fundamentals of each type of methodology are discussed and relevant examples from recent reports are examined, to provide the reader with an overview of the state‐of‐the‐art on the latest advancements on the analysis of intact cells and viruses with microscale electrokinetic techniques. The concluding remarks discuss the potential applications and future directions.

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“…However, these developed methods have not satisfied the detection limit and precision applicable to clinical practice so far. Surface-enhanced Raman spectroscopy (SERS), a common trace detection method, has been widely used in biology, medical, environmental protection, and food detection because of its advantages of high sensitivity, fast speed, and low signal interference (Liu et al, 2017;Sun et al, 2017;Neng et al, 2020;Nowicka et al, 2021). SERS enhancement effect was mainly attributed to the combination of electromagnetic mechanism (EM) and chemical mechanism (CM), which referred to the local surface plasmon resonance (LSPR) and electron transfer between adsorbed molecules and nanomaterials, respectively (Xu et al, 2018;Yu et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

SERS Based Lateral Flow Assay for Rapid and Ultrasensitive Quantification of Dual Laryngeal Squamous Cell Carcinoma-Related miRNA Biomarkers in Human Serum Using Pd-Au Core-Shell Nanorods and Catalytic Hairpin Assembly

Niu

et al. 2022

Front. Mol. Biosci.

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Non-invasive early diagnosis is of great significant in disease pathologic development and subsequent medical treatments, and microRNA (miRNA) detection has attracted critical attention in early cancer screening and diagnosis. However, it was still a challenge to report an accurate and sensitive method for the detection of miRNA during cancer development, especially in the presence of its analogs that produce intense background noise. Herein, we developed a surface-enhanced Raman scattering (SERS)–based lateral flow assay (LFA) biosensor, assisted with catalytic hairpin assembly (CHA) amplification strategy, for the dynamic monitoring of miR-106b and miR-196b, associated with laryngeal squamous cell carcinoma (LSCC). In the presence of target miRNAs, two hairpin DNAs could self-assemble into double-stranded DNA, exposing the biotin molecules modified on the surface of palladium (Pd)–gold (Au) core–shell nanorods (Pd-AuNRs). Then, the biotin molecules could be captured by the streptavidin (SA), which was fixed on the test lines (T1 line and T2 line) beforehand. The core–shell spatial structures and aggregation Pd-AuNRs generated abundant active “hot spots” on the T line, significantly amplifying the SERS signals. Using this strategy, the limits of detections were low to aM level, and the selectivity, reproducibility, and uniformity of the proposed SERS-LFA biosensor were satisfactory. Finally, this rapid analysis strategy was successfully applied to quantitatively detect the target miRNAs in clinical serum obtained from healthy subjects and patients with LSCC at different stages. The results were consistent with the quantitative real-time PCR (qRT-PCR). Thus, the CHA-assisted SERS-LFA biosensor would become a promising alternative tool for miRNAs detection, which showed a tremendous clinical application prospect in diagnosing LSCC.

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Combined negative dielectrophoresis with a flexible SERS platform as a novel strategy for rapid detection and identification of bacteria

Cited by 19 publications

References 71 publications

Machine learning analysis of SERS fingerprinting for the rapid determination of Mycobacterium tuberculosis infection and drug resistance

Machine learning analysis of SERS fingerprinting for the rapid determination of Mycobacterium tuberculosis infection and drug resistance

Microscale electrokinetic‐based analysis of intact cells and viruses

SERS Based Lateral Flow Assay for Rapid and Ultrasensitive Quantification of Dual Laryngeal Squamous Cell Carcinoma-Related miRNA Biomarkers in Human Serum Using Pd-Au Core-Shell Nanorods and Catalytic Hairpin Assembly

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