Sensing UV-C in femtoseconds

Sensing UV-C in femtoseconds


We are familiar with ultraviolet-C (UV-C) light through its use in sterilising water, air and surfaces. But beyond this, UV-C light remains under-exploited, owing to challenges in creating compact systems capable of both generating and detecting intense, ultrafast UV-C light.

A recent study, titled ‘Fast ultraviolet-C photonics: Generating and sensing laser pulses on femtosecond timescales’, published by Dewes and colleagues in Light: Science & Applications, addresses this challenge directly. Combining advances in non-linear optics with scalable two-dimensional semiconductor sensors, the authors demonstrate an integrated platform capable of producing and detecting UV-C laser pulses lasting only a few hundred femtoseconds (a femtosecond is one quadrillionth of a second).

Ultrafast light

Many physical, chemical and biological processes unfold on timescales far shorter than a nanosecond. Ultrafast lasers, producing pulses lasting femtoseconds, help probe these processes. A femtosecond is short enough to resolve molecular vibrations, electronic transitions and ionisation dynamics.

Femtosecond lasers are now routine in the infrared and visible regions. But in the case of UV-C, direct sources such as excimer lasers are bulky and energy-intensive, while compact semiconductor lasers have limited output power. Detection poses an additional challenge, as conventional UV sensors often lack the speed or spectral discrimination needed for femtosecond operation.

femtosecond pulses

In the non-linear optical approach, the starting point is a commercially available ytterbium-based laser operating at 1,024 nanometres in the near-infrared. The pulses last 236 femtoseconds, with repetition rates of up to 60 kilohertz.

The conversion to UV-C proceeds through cascaded second-harmonic generation. Infrared pulses pass through a bismuth triborate crystal, and their frequency is doubled to produce visible light at 512 nanometres. The frequency is doubled again in a beta-barium borate crystal, yielding ultraviolet pulses at 256 nanometres. Harmonic separators suppress residual infrared and visible light, ensuring a clean UV-C output.

Through careful optimisation of crystal thickness and spacing, the authors achieve a fourth-harmonic conversion efficiency of about 20 per cent. For a compact femtosecond system, this is exceptionally high. The resulting UV-C pulses have durations of around 243 femtoseconds and energies of up to 2.38 microjoules.

2D semiconductors

For detection, the authors have developed photodetectors based on two-dimensional semiconductors — gallium selenide, which has a high absorption coefficient in the UV-C range, allowing even nanometre-scale layers to absorb light efficiently, and gallium oxide, which exhibits enhanced selectivity for UV-C wavelengths and suppressed sensitivity to visible light.

The detectors use a metal–semiconductor–metal geometry with interdigitated gold electrodes. In the gallium oxide devices, the semiconductor layer is integrated with graphene on a silicon-carbide substrate. When a UV-C pulse is absorbed, electron–hole pairs are generated and separated by an applied electric field, producing a measurable photocurrent.

The gallium selenide devices show a linear relationship between the UV-C pulse energy and the integrated photocurrent, indicating a stable and predictable response over a wide operating range.

By contrast, the gallium oxide devices exhibit an unusual super-linear response. As the pulse energy or repetition rate increases, the detector responsivity rises more rapidly than expected.

The authors attribute this to electronic processes within the semiconductor and at its interface with graphene. As a result, detector performance improves under stronger illumination, which is valuable for ultrafast applications.

High-impact uses

In biomedical imaging and diagnostics, the short wavelength of UV-C light enables spatial resolution beyond the limits of visible microscopy, while femtosecond pulses allow time-resolved observation of rapid biochemical processes such as protein dynamics, DNA damage and photo-induced cellular responses.

In materials science and semiconductor manufacturing, ultrafast UV-C spectroscopy provides direct access to electronic structure, defect states and charge recombination dynamics in wide-bandgap materials and oxides.

The ultrashort pulses enable nanoscale fabrication and repair without significant heat diffusion, detection of trace pollutants and hazardous substances, and portable systems for laboratory-on-chip applications.

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Published on January 12, 2026



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ISRO to kick off 2026 with launch of Earth Observation Satellite

ISRO to kick off 2026 with launch of Earth Observation Satellite


The Indian Space Research Organisation (ISRO) is getting ready to launch the PSLV-C62 mission carrying the EOS-N1 Earth Observation satellite along with 15 co-passenger satellites from domestic & international customers on Monday.

The mission is the ninth dedicated commercial mission undertaken by NewSpace India Limited (NSIL), the commercial arm of the space organisation.

This launch will be the 64th flight of the Polar Satellite launch Vehicle(PSLV) – a workhorse of ISRO’s notable missions like Chandrayaan-1, Mars Orbiter Mission, Aditya-L1 and Astrosat Mission. 

The mission will carry satellites from Indian start-ups like Dhruva Aerospace and OrbitAID Aerospace’s AayulSAT, an experimental payload to demonstrate in-orbit satellite refueling technology.

PSLV-C62 mission will also demonstrate a small-scale prototype of a re-entry vehicle called the Kestrel Initial Technology Demonstrator (KID) developed by Spanish start-up Orbital Paradigm. The KID will be the last co-passenger to be injected after which it is slated to re-enter the earth’s atmosphere towards splashdown in the South Pacific Ocean.

The PSLV-C62 mission is set to lift-off on January 12, 2026 at 10:17am, from the First Launch Pad at Satish Dhawan Space Centre, Sriharikota.

Published on January 11, 2026



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Using AI to better assess cyclone damage

Using AI to better assess cyclone damage


AFTER A HURRICANE: Picking up the pieces
| Photo Credit:
REUTERS

In just two months — October and November this year — the Indian Ocean spawned four powerful cyclonic storms, killing hundreds and devastating coastal communities across India, Sri Lanka and parts of East Asia.

Assessment of cyclone damage typically relies on aerial images captured by satellites and drones. Interpreting these images, however, is not a straightforward task — images differ widely across regions and storms due to variations in lighting, terrain, building materials and damage patterns. Artificial intelligence (AI) is now used to speed up assessments, but models trained on one disaster often perform poorly on another. An AI system trained on images from Cyclone Montha, in Andhra Pradesh, for instance, may struggle to assess damage after a cyclone in Sri Lanka. This challenge is known as the ‘domain gap’.

Researchers at the Indian Institute of Technology, Bombay, have developed a solution to this problem: A spatially aware domain adaptation network called SpADANet. “The AI model is designed to adapt across different storms and geographies, even when only limited, human-labelled data is available from the new disaster area,” says a write-up from IIT-Bombay.

While existing models treat the domain gap as a statistical issue, SpADANet uses spatial context — the arrangement and relationship of buildings and damaged areas within an image. This allows it to recognise damage patterns based not just on visual features like colour or shape, but also location and surroundings.

Mobile-friendly tool

Published recently in IEEE Geoscience and Remote Sensing Letters, the study shows that SpADANet improves damage classification accuracy by over 5 per cent, compared to existing methods. Crucially, the model can run on modest computing hardware, including tablets and smartphones, making it suitable for use in the field — an important advantage in disaster-hit regions with limited resources.

“SpADANet first teaches itself by studying unlabelled images from a domain (hurricane study area) by employing a process called self-supervised learning. This helps the model understand general visual patterns, such as how undamaged and damaged buildings or debris appear in aerial photos. By the time it sees labelled data, it already has a strong sense of what to look for in the data,” elaborates Prof Surya Durbha, who led the study.

It then uses a novel spatial module — Bilateral Local Moran’s I — to better capture how damage clusters across neighbouring areas.

The model was tested using satellite imagery from hurricanes Harvey (2017), Matthew (2016) and Michael (2018) in the US. Even when only 10 per cent of images from a new disaster were labelled, SpADANet outperformed standard approaches such as DANN, MDD and CORAL-based models, the write-up says.

IIT-Bombay clarifies that its SpADANet is “fundamentally different” from SPADANet, a model developed by a Japanese research team earlier this year.

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Published on December 29, 2025



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War on drug resistance goes undersea

War on drug resistance goes undersea


NATURAL DEFENCE: Marine microbes survive in some of the harshest environments on Earth
| Photo Credit:
White Robin

Antimicrobial resistance (AMR) is a growing global health crisis, killing millions. Disease-causing microbes are fast learning to defy the drugs they once dreaded. To outpace them, the world needs new medicines — and scientists are increasingly turning to the oceans for help. Mining useful genetic material from marine resources — both microbial and non-microbial — is fast emerging as a new scientific and industrial frontier.

Why oceans? Because marine life is battle-hardened. Marine microbes survive in some of the harshest environments on Earth — amid hydrothermal vents, extreme pressure, high salinity and low nutrients. Many non-microbial marine organisms, meanwhile, are soft-bodied and largely sessile or sedentary. Lacking physical defences, they rely on potent chemical weapons to survive predators, infections and competition.

The scientific effort today is to identify these natural defence mechanisms, copy them and mass-produce them as drugs or molecular tools.

The idea itself is not new. Marine bio-resources have been studied for decades, largely for natural products and basic research. What has changed in the past 10–15 years is the feasibility of the idea. Cheap genome sequencing, metagenomics (the study of the genomes of entire microbial communities at once), AI-driven screening and advances in synthetic biology have made it possible to mine marine microbes for the development of new drugs.

Scientists are now diving into oceans — literally and figuratively — in search of solutions for AMR.

A seminal contribution in this field has come from scientists at BGI Research (formerly Beijing Genomics Institute), China, led by Jianwei Chen. The team recovered 43,191 bacterial and archaeal genomes from publicly available marine metagenomes. (Archaea are microbes distinct from bacteria and plants or animals; their genomes represent the genetic blueprints of ancient life forms, often living in extreme environments.)

In a 2024 paper titled ‘Global marine microbial diversity and its potential in bioprospecting’, published in Nature, the researchers report that computer-based bioprospecting of these genomes led to the discovery of a novel CRISPR–Cas9 system (a programmable DNA cutter and potential new molecular tool), 10 antimicrobial peptides and three enzymes capable of degrading PET plastic.

Calling Chen’s work a “breakthrough”, Zhi-Feng Zhang of Shenzhen University notes that the team identified 117 antimicrobial peptide candidates using deep-learning tools and synthesised 63 of them. Ten showed strong antimicrobial activity, working against five bacterial strains, including human pathogens.

“The potential of marine microbes as a reservoir of new enzymology and natural products for bioprospecting remains largely underestimated,” Zhang writes in Engineering Microbiology, pointing to the “unprecedented opportunities” marine genetic resources offer.

Research in India

India, too, appears to be catching up. A key development is the establishment of a deep-sea marine microbial repository by the National Institute of Ocean Technology, near its sea-facing campus in Nellore, Andhra Pradesh. The facility is part of the ₹4,000 crore deep-sea mission of the Ministry of Earth Sciences.

Academic literature, too, reflects these developments. A recently published book, Marine Microbiome and Microbial Bioprospecting, containing 39 chapters by multiple scientists, provides a comprehensive overview of the microbial diversity across marine ecosystems and their bioprospecting potential.

Several chapters focus on drug discovery and AMR. In one on anti-tuberculosis research, scientists from CSIR–Central Salt and Marine Chemicals Research Institute (CSIR-CSMCRI), Bhavnagar, note that marine microbes produce structurally diverse metabolites with potent anti-mycobacterial activity. Compounds such as ilamycin, atratumycin, cyclomarin A and diazaquinomycin, they say, show strong promise and are backed by genomic and biosynthetic studies that enable scalable production.

Collectively, marine microorganisms represent a powerful but under-explored arsenal against drug resistance. As microbes on land continue to outsmart existing medicines, the next generation of life-saving drugs may well come from the depths of the sea.

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Published on December 29, 2025



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Big, bad business of junk food

Big, bad business of junk food


UNHEALTHY PROFITS: The ultra-processed food industry generates enormous revenues and resists regulation
| Photo Credit:
Mizina

The rapid rise of ultra-processed foods (UPFs) in global diets is harming public health, driving a rise in incidence of chronic diseases and widening health inequalities, says a new Lancet series published recently. UPFs are made to “look good, taste good”, and their high consumption is linked to obesity, heart problems and other non-communicable diseases, the publication says in an editorial.

At the core of the UPF industry is the largescale processing of cheap commodities such as maize, wheat, soy and palm oil, into a wide array of food-derived substances and additives, controlled by a small number of transnational corporations, says Lancet, observing that UPFs are “aggressively marketed and engineered to be hyperpalatable”, driving repeat consumption and often displacing traditional, nutrient-rich foods.

It says that just a “handful of manufacturers, including Nestle, PepsiCo, Unilever and Coca-Cola, dominate the market” and notes that the industry “generates enormous revenues that support continued growth and fund corporate political activities to counter attempts at UPF regulation”.

It calls for a comprehensive, government-led approach to reverse the rise in UPF consumption. Priority actions include adding ultra-processed markers, such as colours, flavours and non-sugar sweeteners, to the nutrient profiling models used to identify unhealthy foods; mandatory front-of-pack warning labels; bans on marketing aimed at children; restrictions on these types of food in public institutions; and higher taxes on UPFs.

The Lancet article is part of a campaign against UPFs, but its stand is supported by an overwhelming body of scientific literature, many of which have been viewed by Quantum. In a paper published in the Journal of Affective Disorders, a group of Spanish researchers cite evidence linking high UPF consumption and depression. Another Danish study “provides evidence that consumption of ultra-processed food is detrimental for cardiometabolic and reproductive outcomes, regardless of excessive caloric intake”.

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Published on December 29, 2025



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