Highly reproducible immunoassay of cancer markers on a gold-patterned microarray chip using surface-enhanced Raman scattering imaging

Lee, Moonkwon; Lee, Sangyeop; Lee, Jung Hwan; Lim, Heon Kil; Seong, Gi Hun; Lee, Eun Kyu; Chang, Soo-Ik; Oh, Cheol; Choo, Jaebum

doi:10.1016/j.bios.2010.09.021

Cited by 135 publications

(58 citation statements)

References 36 publications

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“…In order to improve the consistency of SERS measurements, recent focus has been placed on improving the chip-scale measurement uniformity either by implementing better substrates, [31][32][33][34] or employing better measurement strategies such as areal averaging, [35][36] which involves scanning a larger area on the substrate to collect and average more Raman-signal data points as opposed to 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 making a single point measurement. Two-dimensional (2D) mapping of Raman spectra was performed over a 1×1 mm 2 increasing the average scan area from 50×50 µm 2 to 400×400 µm 2 reduces the RSD from 3.6% to 1.7%.…”

mentioning

confidence: 99%

Surface-Enhanced Raman Spectroscopy-Based Label-Free Insulin Detection at Physiological Concentrations for Analysis of Islet Performance

Cho¹,

Kumar²,

Yang³

et al. 2018

ACS Sens.

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Label-free optical detection of insulin would allow in vitro assessment of pancreatic cell functions in their natural state and expedite diabetes-related clinical research and treatment, however no existing method has met these criteria at physiological concentrations. Using spatially-uniform 3D gold-nanoparticle sensors, we have demonstrated surface-enhanced Raman sensing of insulin in the secretions from human pancreatic islets under low and high glucose environments without the use of labels such as antibodies or aptamers. Label-free measurements of the islet secretions showed excellent correlation among the ambient glucose levels, secreted insulin concentrations, and measured Raman-emission intensities. When excited at 785 nm, plasmonic hotspots of the densely-arranged 3D gold-nanoparticle pillars as well as strong interaction between sulphide linkages of the insulin molecules and the gold nanoparticles produced highly sensitive and reliable insulin measurements down to 100 pM. The sensors exhibited a dynamic range of 100 pM to 50 nM with an estimated detection limit of 35 pM, which covers the reported concentration range of insulin observed in pancreatic cell secretions.The sensitivity of this approach is approximately four orders of magnitude greater than previously reported results using label-free optical approaches, and it is much more costeffective than immunoassay-based insulin detection widely used in clinics and laboratories. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 3 Hormones are chemical messengers that control a wide variety of functions in the human body. Maintaining adequate hormone levels is extremely important for human health and disruption to these levels can result in life-debilitating conditions. Simple and easy measurements of hormonal secretions ex vivo or in vivo are essential for implementing next generation biosensors, allowing convenient monitoring of health and early disease detection.One of the most prevalent diseases resulting from hormonal dysfunction is diabetes, which arises from a disruption in the release of insulin in the body. 1-2 Insulin is a peptide hormone which is secreted by beta cells, one of five primary cell-types which populate pancreatic cellular clusters known as islets. The concentration of insulin secreted from beta cells in plasma has been reported to vary between 100 pM (fasting) and 2 nM (about 1 hour after glucose intake) in non-diabetic individuals. [3][4] In diabetic individuals, functional damage to the beta cells reduces or inhibits their ability to release insulin. One of the leading methodologies for treatment of type-1 diabetes is pancreatic islet transplantation, where healthy islets harvested from deceased donors are transplanted into diabetic patients. [5][6] Since the number of donors is limited, methodologies that can improve the efficiency and succe...

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confidence: 99%

Surface-Enhanced Raman Spectroscopy-Based Label-Free Insulin Detection at Physiological Concentrations for Analysis of Islet Performance

Cho¹,

Kumar²,

Yang³

et al. 2018

ACS Sens.

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“…There are several reports regarding the use of the technique in immunoassays format for protein or microorganism detection [135][136][137][138][139][140][141]. In immunoassay-based approaches, a recognition element, an antibody, captures the target and a transducer converts the biological recognition to readout.…”

Section: Detection Identification and Characterization Of Biomacrommentioning

confidence: 99%

“…In another recent report, immunoassay-based SERS method for the detection of cancer marker, angiogenin (ANG), and alpha-fetoprotein (AFP), was successfully demonstrated with a detection limit of 0.1 pg/mL and 1.0 pg/mL, respectively [138]. Wang et al demonstrated the detection of MUC4 in real samples, which is a pancreatic cancer marker, using a SERS-based immunoassay platform [139].…”

Section: Detection Identification and Characterization Of Biomacrommentioning

confidence: 99%

Surface-Enhanced Raman Scattering as an Emerging Characterization and Detection Technique

Çulha

Cullum

Lavrik

et al. 2012

Journal of Nanotechnology

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While surface-enhanced Raman spectroscopy (SERS) has been attracting a continuously increasing interest of scientific community since its discovery, it has enjoyed a particularly rapid growth in the last decade. Most notable recent advances in SERS include novel technological approaches to SERS substrates and innovative applications of SERS in medicine and molecular biology. While a number of excellent reviews devoted to SERS appeared in the literature over the last two decades, we will focus this paper more specifically on several promising trends that have been highlighted less frequently. In particular, we will briefly overview strategies in designing and fabricating SERS substrates using deterministic patterning and then cover most recent biological applications of SERS.

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“…Surface-enhanced Raman scattering (SERS) is an emerging technique that allows sensitive, selective, and rapid biomarker detection [1][2][3]. For this reason, there is increasing interest in using SERS-based techniques in clinical diagnostics.…”

Section: Introductionmentioning

confidence: 99%

Clinical validation of surface-enhanced Raman scattering-based immunoassays in the early diagnosis of rheumatoid arthritis

et al. 2015

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We assessed the clinical feasibility of conducting immunoassays based on surface-enhanced Raman scattering (SERS) in the early diagnosis of rheumatoid arthritis (RA). An autoantibody against citrullinated peptide (anti-CCP) was used as a biomarker, magnetic beads conjugated with CCP were used as substrates, and the SERS nanotags were comprised of anti-human IgG-conjugated hollow gold nanospheres (HGNs). We were able to determine the anti-CCP serum levels successfully by observing the distinctive Raman intensities corresponding to the SERS nanotags. At high concentrations of anti-CCP (>25 U/mL), the results obtained from the SERS assay confirmed those obtained via an ELISA-based assay. Nevertheless, quantitation via our SERS-based assay is significantly more accurate at low concentrations (<25 U/mL). In this study, we compared the results of an anti-CCP assay of 74 clinical blood samples obtained from the SERS-based assay to that of a commercial ELISA kit. The results of the anti-CCP-positive group (n = 31, >25 U/mL) revealed a good correlation between the ELISA and SERS-based assays. However, in the anti-CCP-negative group (n = 43, <25 U/mL), the SERS-based assay was shown to be more reproducible. Accordingly, we suggest that SERS-based assays are novel and potentially useful tools in the early diagnosis of RA.

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Highly reproducible immunoassay of cancer markers on a gold-patterned microarray chip using surface-enhanced Raman scattering imaging

Cited by 135 publications

References 36 publications

Surface-Enhanced Raman Spectroscopy-Based Label-Free Insulin Detection at Physiological Concentrations for Analysis of Islet Performance

Surface-Enhanced Raman Spectroscopy-Based Label-Free Insulin Detection at Physiological Concentrations for Analysis of Islet Performance

Surface-Enhanced Raman Scattering as an Emerging Characterization and Detection Technique

Clinical validation of surface-enhanced Raman scattering-based immunoassays in the early diagnosis of rheumatoid arthritis

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