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David Viveros Salazar

Artificial neural network reduces spectral shift

Artificial Neural Network Reduces Spectral Shift: Precision Enhancement in Mid-Infrared Spectrometry

Spectrometer Steers HITRAN simulations of water and methane are used as inputs to an artificial neural network (ANN) that provides water concentration as the output. The ANN is able to correct mid-infrared (MIR) spectrometer measurements to within a margin of error of +/- 1% when compared to results from a relative humidity sensor (Bosch BME280). …

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Coin sized sensor with 1 meter pathlength

Coin-Sized Sensor with 1 Meter Pathlength: Precision Atmospheric Oxygen Measurement via TDLAS

Quick Summary A TDLAS sensor incorporates a 4 cm disk to generate a 1 m pathlength and measure atmospheric oxygen levels using the 763 nm line. Researchers use a WMS-2f peak detection scheme to measure atmospheric oxygen concentration over a period of 24 hours. The VCSEL-detector package weighs 75 g and measures 90 x 40 …

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100 micron sized FTIR spectrometer

100 Micron-Sized FTIR Spectrometer: ETH Zurich’s Miniaturized Innovation for Advanced Spectral Sensing

To The Point ETH Zurich led study demonstrates a room-temperature miniaturized Fourier-transform infrared (FTIR) spectrometer, 100 μm x 100 μm x 100 μm. A leaky waveguide scatters incoming light onto a near-infrared photoactive layer of quantum dots (QD). A gold mirror is displaced up to 100 μm relative to the monolithic device and results in …

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Frequency comb with 81 meter pathlength

UBC’s Breakthrough Study: Enhanced Gas Detection with Ultrabroadband Frequency Comb & Diamond Technology

To The Point University of British Columbia led study combines ultrabroadband (~7-15 μm, 1-2 μm) frequency comb with an 81 m pathlength cavity. A wedged diamond plate is used as the input and output coupler to the cavity in contrast to the traditional use of a partially transmissive input coupling mirror. While 1 ppm methanol …

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Modeling pollution maps

Modeling Fine-grained spatio-temporal pollution maps with low-cost sensors

TLDR Air quality data was collected in Delhi, India using a combination of low-cost (Kaiterra) sensors and existing government sensors over 2 years. Using a neural network based mode researchers were able to predict next day pollution levels to within 10%. Abbreviations Motivation and Approach Pollution prediction in densely populated cities is critical to guide …

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Stretchable sweat sensor

Next-Gen Performance Monitoring: Stretchable Sweat Sensor with Integrated Battery and Display for Real-Time Health Data

TLDR Stretchable sweat sensor with printed battery and real-time display able to measure sodium, pH, glucose, or lactate Article Source Nature Electronics A stretchable epidermal sweat sensing platform with an integrated printed battery and electrochromic display Supplementary Material Abbreviations ECD: Electrochromic display MCU: Microcontroller unit Sweat Sensor Components The Sensor Figure 1 illustrates the various …

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Tracking CA Greenhouse Gas Emissions

Tracking CA Greenhouse Gas Emissions        The california air resources board (CARB) is the government agency tasked with determining the statewide greenhouse gas (GHG) emissions inventory and updating it every five years. Initially the responsibility of the California Energy Commission, tracking responsibility of statewide emissions inventories was transferred to the air resources board …

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Satellite Based Methane Emissions Monitoring

Quantitative monitoring of methane greenhouse gas emissions is becoming increasingly important as the effects of climate change are becoming harder to ignore.[1] In this series of posts, we will dig deeper into the challenges associated with accurately monitoring methane gas emissions. This being a worthwhile endeavor since methane gas emissions account for up to 10% of …

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