The modern tools of chemistry excel at identifying a sample, but the cost, size, complexity, and power consumption of these instruments often preclude their use in resource-limited settings. In this work, we demonstrate a simple and low-cost method for identifying a sample based on visualizing how the sample changes over space and time in response to a perturbation. Different types of perturbations could be used, and in this proof-of-concept we use a dynamic temperature gradient that rapidly cools different parts of the sample at different rates. We accomplish this by first loading several samples into long parallel channels on a "microfluidic thermometer chip." We then immerse one end of the chip in liquid nitrogen to create a dynamic temperature gradient along the channels, and we use an inexpensive USB microscope to record a video of how the samples respond to the changing temperature gradient. The video is then converted into several bitmap images (one per sample) that capture each sample's response to the perturbation in both space (the -axis; the distance along the dynamic temperature gradient) and time (the -axis); we call these images "chronological fingerprints" or "chronoprints" of each sample. If two samples' chronoprints are similar, this suggests that the samples are the same chemical substance or mixture, but if two samples' chronoprints are significantly different, this proves that the samples are chemically different. Since chronoprints are just bitmap images, they can be compared using a variety of techniques from computer science, and in this work we use three different image comparison algorithms to quantify chronoprint similarity. As a demonstration of the versatility of chronoprints, we use them in three different applications: distinguishing authentic olive oil from adulterated oil (an example of the over $10 billion global problem of food fraud), identifying adulterated or counterfeit medication (which represents around 10% of all medication in low- and middle-income countries), and distinguishing the occasionally confused pharmaceutical ingredients glycerol and diethylene glycol (whose accidental or intentional substitution has led to hundreds of deaths). The simplicity and versatility of chronoprints should make them valuable analytical tools in a variety of different fields.
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http://dx.doi.org/10.1021/acscentsci.8b00860 | DOI Listing |
Sci Bull (Beijing)
December 2024
NOAA/Pacific Marine Environmental Laboratory, Seattle, Washington DC 20005, USA.
El Niño-Southern Oscillation (ENSO) exhibits a strong asymmetry between warm El Niño and cold La Niña in amplitude and temporal evolution. An El Niño often leads to a heat discharge in the equatorial Pacific conducive to its rapid termination and transition to a La Niña, whereas a La Niña persists and recharges the equatorial Pacific for consecutive years preconditioning development of a subsequent El Niño, as occurred in 2020-2023. Whether the multiyear-long heat recharge increases the likelihood of a transition to a strong El Niño remains unknown.
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January 2025
National Engineering Laboratory for Modern Silk, College of Textile and Clothing Engineering, Soochow University, Suzhou, Jiangsu 215123, China.
Flexible thermoelectric systems capable of converting human body heat or solar heat into sustainable electricity are crucial for the development of self-powered wearable electronics. However, challenges persist in maintaining a stable temperature gradient and enabling scalable fabrication for their commercialization. Herein, we present a facile approach involving the screen printing of large-scale carbon nanotube (CNT)-based thermoelectric arrays on conventional textile.
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January 2025
Brunel University of London, Uxbridge, UB8 3PH, UK.
Efficient energy management and maintaining an optimal indoor climate in buildings are critical tasks in today's world. This paper presents an innovative approach to surrogate modeling for predicting indoor air temperature (IAT) in buildings, leveraging advanced machine learning techniques. At the core of this study is the application of Long Short-Term Memory (LSTM) networks for time-series modeling, which significantly enhances the capture of temporal dependencies in temperature predictions.
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January 2025
Mechanical Engineering Department, University of South Florida, Tampa, FL, 33620, USA.
We report on discovering the homogeneous boiling within a liquid film residual resting in equilibrium over a melting ice block. This phenomenon was induced via longwave infrared radiation generated by a continuous wave [Formula: see text] laser. This investigation employed a high-speed camera and the Schlieren visualization technique.
View Article and Find Full Text PDFNat Commun
January 2025
State Key Laboratory of Silicon and Advanced Semiconductor Materials, School of Materials Science and Engineering, Zhejiang University, Hangzhou, 310027, China.
The composition in ferroelectric oxide films is decisive for optimizing properties and device performances. Controlling a composition distribution in these films by a facile approach is thus highly desired. In this work, we report a solution epitaxy of PbZrTiO films with a continuous gradient of Zr concentration, realized by a competitive growth at ~220 °C.
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