Optical fiber tips for biological applications: From light confinement, biosensing to bioparticles manipulation

Paiva, Joana Isabel; Jorge, P. A. S.; Rosa, Carla C.; Cunha, João Paulo Silva

doi:10.1016/j.bbagen.2018.02.008

Cited by 41 publications

(25 citation statements)

References 250 publications

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“…Using the same type of polymeric lens on the top of optical fibers, we tried to trap and differentiate two types of yogurt bacteria (Lactobacillus Acidophilus and Streptococcus Thermophilus) using a single signal-derived attribute created using Multivariate Data Analysis. The method proposed here showed a similar performance to the method proposed in [4]. Thus, it can be a great contribution to the development of a novel low-cost and rapid method for bacteria isolation and identification.…”

Section: Introductionsupporting

confidence: 59%

“…Considering the low-cost and rapid method to simultaneously trap and differentiate synthetic and biological particles recently proposed in [3], we decided to investigate whether it is able to distinguish smaller specimens as different types of bacteria using the same type of polymeric lensed optical fiber tools. Through this method, a single particle can be simultaneously isolated through optical trapping and identified uniquely using a short-term portion of the backscattered signal [4]. Using the same type of polymeric lens on the top of optical fibers, we tried to trap and differentiate two types of yogurt bacteria (Lactobacillus Acidophilus and Streptococcus Thermophilus) using a single signal-derived attribute created using Multivariate Data Analysis.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Towards a Single Parameter Sensing for Bacteria Sorting through Optical Fiber Trapping and Back-Scattered Signal Analysis

Paiva

Ribeiro

Jorge

et al. 2018

26th International Conference on Optical Fiber Sensors

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Section: Introductionsupporting

confidence: 59%

Section: Introductionmentioning

confidence: 99%

Towards a Single Parameter Sensing for Bacteria Sorting through Optical Fiber Trapping and Back-Scattered Signal Analysis

Paiva

Ribeiro

Jorge

et al. 2018

26th International Conference on Optical Fiber Sensors

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“…This modulation reduced the interference of the 50 Hz local electrical grid component and other noisy components of the signal. The laser input signal modulation has already been shown to be an important procedure in this type of experiment 5,15,46,47 . The output laser diode power was set to ≈120 mW at the output of the 50/50@980 fiber coupler single entry during the experiment, to ensure a stable targets trapping/immobilization.…”

Section: Discussionmentioning

confidence: 99%

“…Even though the development of OFT is a growing field, only a limited number of options are available for simultaneous cell trapping and sensing 1,2,5,15 . Plasmonic fiber tweezers are good candidates for such an hybrid task because, beyond trapping, they are sensitive to tiny changes of the surrounding environmental refractive index and can then provide some additional information about their target 16 .…”

mentioning

confidence: 99%

iLoF: An intelligent Lab on Fiber Approach for Human Cancer Single-Cell Type Identification

Paiva,

Jorge,

Ribeiro

et al. 2020

Sci Rep

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With the advent of personalized medicine, there is a movement to develop "smaller" and "smarter" microdevices that are able to distinguish similar cancer subtypes. Tumor cells display major differences when compared to their natural counterparts, due to alterations in fundamental cellular processes such as glycosylation. Glycans are involved in tumor cell biology and they have been considered to be suitable cancer biomarkers. Thus, more selective cancer screening assays can be developed through the detection of specific altered glycans on the surface of circulating cancer cells. Currently, this is only possible through time-consuming assays. In this work, we propose the "intelligent" Lab on Fiber (iLof) device, that has a high-resolution, and which is a fast and portable method for tumor single-cell type identification and isolation. We apply an Artificial Intelligence approach to the back-scattered signal arising from a trapped cell by a micro-lensed optical fiber. As a proof of concept, we show that iLof is able to discriminate two human cancer cell models sharing the same genetic background but displaying a different surface glycosylation profile with an accuracy above 90% and a speed rate of 2.3 seconds. We envision the incorporation of the iLoF in an easy-to-operate microchip for cancer identification, which would allow further biological characterization of the captured circulating live cells.Recent research trends on healthcare point out to the movement to develop "smart" micro-tools to allow better personalized diagnostic and therapeutic approaches 1-3 . Considering that current medicine and biotechnology attempts are converging to novel methodologies at the micro (e.g., cancer cells detection) and nano scales (e.g., cancer-related extracellular vesicles detection), an effort towards the development of these "intelligent" microdevices with multifunctionalities is required 3 . In this regard, optical fiber tools -for example, Optical Fiber Tweezers (OFT) 1,4,5 -have emerged as suitable candidates thanks to their flexibility, small size and chemical inertness, which contributes to the advent of a novel concept of "Lab on Fiber" (LoF) devices 2 . The fruitful application of these optical-based microdevices in cancer screening has been envisioned as straightforward 1,2 . However, the high degree of heterogeneity among cancer subtypes must be taken into consideration 6,7 . This heterogeneity is mainly due to both cellular and microenvironmental factors, such as alterations in cellular glycosylation 8 . In particular, the selective detection of specific cancer-associated glycoforms expressed at the surface of circulating cancer cells could increase the specificity of cancer biomarker assays and therapeutic approaches 8-10 . In fact, tumor heterogeneity is considered to be a major barrier to an effective cancer diagnosis and treatment 6,7 . Recent evidence has shown that glycans can determine the acquisition of certain cellular features controlling tumor growth and progression 8,11,12 . For example, shorter trun...

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“…These studies can be categorized into three groups: (i) Those that use a geometry modified optical fiber [30][31][32], (ii) those that equip facets of a fiber with nano antenna [32][33][34][35][36], and most recently (iii) those that use a tapered fiber [37,38]. These studies [37,38] use tapered fiber tips as TERS tips. A recent study [39], acknowledging this gap in the research, presented a cholesterol sensor that used nanoparticles attached to a tapered optical fiber tip.…”

Section: Introductionmentioning

confidence: 99%

Photothermal Effect in Plasmonic Nanotip for LSPR Sensing

Nisar

Kang

Zhao

2020

Sensors

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The influence of heat generation on the conventional process of LSPR based sensing has not been explored thus far. Therefore, a need exists to draw attention toward the heat generation issue during LSPR sensing as it may affect the refractive index of the analyte, leading to incorrect sensory conclusions. This manuscript addresses the connection between the photo-thermal effect and LSPR. We numerically analyzed the heat performance of a gold cladded nanotip. The numerical results predict a change in the micro-scale temperature in the microenvironment near the nanotip. These numerical results predict a temperature increase of more than 20 K near the apex of the nanotip, which depends on numerous factors including the input optical power and the diameter of the fiber. We analytically show that this change in the temperature influences a change in the refractive index of the microenvironment in the vicinity of the nanotip. In accordance with our numerical and analytical findings, we experimentally show an LSPR shift induced by a change in the input power of the source. We believe that our work will bring the importance of temperature dependence in nanotip based LSPR sensing to the fore.

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Optical fiber tips for biological applications: From light confinement, biosensing to bioparticles manipulation

Cited by 41 publications

References 250 publications

Towards a Single Parameter Sensing for Bacteria Sorting through Optical Fiber Trapping and Back-Scattered Signal Analysis

Towards a Single Parameter Sensing for Bacteria Sorting through Optical Fiber Trapping and Back-Scattered Signal Analysis

iLoF: An intelligent Lab on Fiber Approach for Human Cancer Single-Cell Type Identification

Photothermal Effect in Plasmonic Nanotip for LSPR Sensing

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