A NIR-Spectroscopy-Based Approach for Detection of Fluids in Rectangular Glass Micro-Capillaries

Bello, Valentina; Bodo, Elisabetta

doi:10.3390/ecsa-7-08250

Cited by 4 publications

(3 citation statements)

References 20 publications

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“…In a previous work [12], the detection and distinction of pure substances by exploiting NIR absorption spectroscopy was successfully demonstrated: we obtained different spectral absorption profiles for each tested solution in the wavelength region from 1 µm to 1.7 µm and they were in agreement with the prediction provided by the developed theoretical model. The microfluidic device was a rectangular glass microcapillary laid onto a bulk aluminum (Al) mirror so that light crossed the channel twice before being collected and analyzed by an optical spectrum analyzer (OSA).…”

Section: Introductionsupporting

confidence: 73%

Microfluidic Devices with Selectable Optical Pathlength for Quality Control of Alcoholic Solutions

Bodo

Bello

2021

The 8th International Electronic Conference on Sensors and Applications

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In this work, we present a micro-opto-fluidic platform for the analytical testing of alcoholic solutions (isopropyl alcohol, also known as isopropanol, and ethylene glycol) based on their absorption properties in the wavelength region 1.0–1.7 μm. The investigated fluidic channel is a rectangular glass microcapillary externally coated with aluminum layers, to create a zig-zag guiding effect for the radiation provided by a tungsten lamp. Light crosses the capillary multiple times before being directed towards an optical spectrum analyzer; thanks to the enhanced optical path-length inside the sample, the measurement sensitivity is strongly increased. Preliminary experimental results are reported to show sensing performances.

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Section: Introductionsupporting

confidence: 73%

Microfluidic Devices with Selectable Optical Pathlength for Quality Control of Alcoholic Solutions

Bodo

Bello

2021

The 8th International Electronic Conference on Sensors and Applications

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“…FTIR techniques have been used to measure and quantify the amount of water droplets and other solutes sprayed into the air [29]. NIRS can be used to distinguish between liquids like water, alcohol, benzene and other chemicals at volumes as low as 2.5µl in a capillary tube [4,37]. NIRS has also been used to extract a liquid's fat, protein, and lactose content from milk [47].…”

Section: Related Workmentioning

confidence: 99%

Testing a Drop of Liquid Using Smartphone LiDAR

Chan

Raghunath

Michaelsen

et al. 2022

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.

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We present the first system to determine fluid properties using the LiDAR sensors present on modern smartphones. Traditional methods of measuring properties like viscosity require expensive laboratory equipment or a relatively large amount of fluid. In contrast, our smartphone-based method is accessible, contactless and works with just a single drop of liquid. Our design works by targeting a coherent LiDAR beam from the phone onto the liquid. Using the phone's camera, we capture the characteristic laser speckle pattern that is formed by the interference of light reflecting from light-scattering particles. By correlating the fluctuations in speckle intensity over time, we can characterize the Brownian motion within the liquid which is correlated with its viscosity. The speckle pattern can be captured on a range of phone cameras and does not require external magnifiers. Our results show that we can distinguish between different fat contents as well as identify adulterated milk. Further, algorithms can classify between ten different liquids using the smartphone LiDAR speckle patterns. Finally, we conducted a clinical study with whole blood samples across 30 patients showing that our approach can distinguish between coagulated and uncoagulated blood using a single drop of blood.

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“…In our previous work [20], the potential of NIR spectroscopy for chemical sensing was explored by demonstrating the ability to distinguish water and pure alcohols by means of a rectangular-section glass micro-capillary. The capillary was laid onto a bulk aluminum (Al) mirror so that light crossed the channel twice before being collected and analyzed by an optical spectrum analyzer (OSA).…”

Section: Introductionmentioning

confidence: 99%

Spectral Fingerprint Investigation in the near Infra-Red to Distinguish Harmful Ethylene Glycol from Isopropanol in a Microchannel

Bodo

Merlo

Bello

2022

Sensors

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Ethylene glycol (EG) and isopropanol (ISO) are among the major toxic alcohols that pose a risk to human health. However, it is important to distinguish them, since EG is more prone to cause renal failure, and can thus be more dangerous when ingested than ISO. Analysis of alcohols such as isopropanol and ethylene glycol generally can be performed with a complex chromatographic method. Here, we present an optical method based on absorption spectroscopy, performed remotely on EG-ISO mixtures filling a microchannel. Mixtures of ethylene glycol in isopropanol at different volume concentrations were analyzed in a contactless manner in a rectangular-section glass micro-capillary provided with integrated reflectors. Fiber-coupled broadband light in the wavelength range 1.3–1.7 µm crossed the microchannel multiple times before being directed towards an optical spectrum analyzer. The induced zig-zag path increased the fluid–light interaction length and enhanced the effect of optical absorption. A sophisticated theoretical model was developed and the results of our simulations were in very good agreement with the results of the experimental spectral measurements. Moreover, from the acquired data, we retrieved a responsivity parameter, defined as power ratio at two wavelengths, that is linearly related to the EG concentration in the alcoholic mixtures.

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A NIR-Spectroscopy-Based Approach for Detection of Fluids in Rectangular Glass Micro-Capillaries

Cited by 4 publications

References 20 publications

Microfluidic Devices with Selectable Optical Pathlength for Quality Control of Alcoholic Solutions

Microfluidic Devices with Selectable Optical Pathlength for Quality Control of Alcoholic Solutions

Testing a Drop of Liquid Using Smartphone LiDAR

Spectral Fingerprint Investigation in the near Infra-Red to Distinguish Harmful Ethylene Glycol from Isopropanol in a Microchannel

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