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Infrared

Infrared , often abbreviated as , is a form of with wavelengths longer than those of visible red light but shorter than microwaves, typically spanning from approximately 700 nanometers (nm) to 1 millimeter (mm). This places it immediately beyond the in the , where it is invisible to the but commonly experienced as or . Discovered in 1800 by astronomer through experiments dispersing sunlight with a and measuring variations, infrared is emitted by all objects with temperatures above , following principles of where emission intensity increases with . Infrared is subdivided into regions such as near-infrared (0.7–1.4 μm), short-wavelength infrared (1.4–3 μm), mid-infrared (3–8 μm), long-wavelength infrared (8–15 μm), and far-infrared (15–1,000 μm); detailed schemes are discussed in the Spectral Regions section. These regions have distinct properties and applications due to varying energies from about 1.2 meV to 1.7 . Its longer wavelengths allow it to penetrate and dense gases with less than visible , making it valuable for observing obscured cosmic phenomena, while its characteristics enable detection of signatures from warm bodies. Natural sources include the Sun's emission peaking in the near-infrared, Earth's atmospheric and surface in the thermal infrared, and cool celestial objects like planets and star-forming regions. Artificial sources encompass lamps emitting broadly from 500 nm to 3,000 nm, as well as electronic devices like remote controls operating in the near-infrared around 940 nm. Key applications of infrared radiation span multiple fields, including thermal imaging for and via sensors detecting 8–15 μm wavelengths, astronomy through telescopes like the that reveal planet-forming disks hidden by dust, and Earth observation satellites such as MODIS for monitoring wildfires and vegetation health. In , low-level infrared utilizes near-infrared wavelengths (760–1,000 nm) for photobiomodulation to promote repair and reduce , while far-infrared (>15 μm) is explored for its potential biological effects like improved circulation. Additionally, identifies molecular structures by measuring absorption in the mid- to far-infrared, and it powers consumer technologies from motion sensors to fiber-optic communications in the near-infrared band. Despite its benefits, prolonged exposure to intense infrared can cause thermal burns, highlighting the need for safety protocols in industrial and medical uses.

Fundamentals

Definition and Electromagnetic Spectrum

Infrared radiation, often abbreviated as IR, is a form of characterized by wavelengths ranging from approximately 700 nanometers (nm) to 1 millimeter (mm). This corresponds to a frequency range of about 430 (THz) to 300 gigahertz (GHz). These parameters place infrared just beyond the red end of the , where human eyes perceive light up to around 700 nm. Within the broader , infrared occupies the band between visible light—with its shorter from about 400 nm to 700 nm—and microwaves, which extend from 1 mm to 1 meter in . This positioning means infrared has longer and lower frequencies than visible light but higher frequencies than microwaves, influencing its interactions with , such as and properties. Infrared radiation is emitted by all objects above due to motion, though this aspect is explored further elsewhere. As with all , infrared demonstrates wave-particle duality, manifesting as propagating waves or discrete packets of known as . The E of an individual infrared is determined by the formula
E = h \nu,
where h is Planck's constant ($6.626 \times 10^{-34} J·s) and \nu is the 's frequency. This relationship underscores the quantized nature of infrared , with energies typically ranging from about 1.24 millielectronvolts (meV) to 1.7 electronvolts (eV) across the infrared band.
Infrared wavelengths are typically measured in nanometers () for near-infrared regions or micrometers (μm) for longer wavelengths, with 1 μm equaling 1000 . In , the reciprocal of , known as and expressed in inverse centimeters (cm⁻¹), is commonly used; for example, the infrared range spans roughly 14,000 cm⁻¹ to 10 cm⁻¹. This unit facilitates analysis of molecular vibrations, as higher wavenumbers correspond to higher energies.

Physical Properties

Infrared radiation, as a form of electromagnetic waves, propagates through at the , c = 3 \times 10^8 m/. In various media, its speed is reduced according to v = c / n, where n is the of the medium, which for infrared wavelengths typically ranges from about 1.3 to 4 depending on the material, such as or semiconductors used in . This velocity reduction leads to phenomena like when infrared waves pass through interfaces between media, enabling applications in lenses and waveguides. Infrared radiation interacts with matter primarily through , , , and processes. occurs when infrared photons excite molecular vibrations, converting into ; and depend on the material's surface properties and contrast; while redirects waves without significant loss, often via or Mie mechanisms for small particles. In the Earth's atmosphere, these interactions are pronounced, with strong bands due to (particularly in the 2.7 μm and 6.3 μm regions) and (around 4.3 μm and 15 μm), which attenuate infrared over long paths and contribute to the . Atmospheric aerosols further enhance and , reducing visibility in the infrared spectrum. A key aspect of infrared-matter interaction is , which varies by and material. Near-infrared (0.7–1.4 μm) penetrates biological tissues deeper, up to 10–15 mm in models like bovine tissue, due to lower absorption by and compared to longer wavelengths. In contrast, far-infrared (above 3 μm) is absorbed more superficially, up to several centimeters (e.g., ~4 cm) in , as it strongly excites molecule vibrations, enabling heating effects in deeper tissues while primarily interacting with surface layers. Infrared radiation exhibits polarization and coherence properties inherent to electromagnetic waves. Polarization describes the orientation of the electric field vector, which can be linear, circular, or elliptical; natural sources like thermal emitters produce unpolarized infrared, but it can be polarized through , , or devices like wire-grid polarizers. Coherence refers to the of : thermal infrared sources, such as blackbodies, are typically incoherent with short coherence lengths (on the order of micrometers), leading to diffuse , whereas infrared lasers generate highly coherent radiation with long coherence lengths (centimeters to meters), enabling and precise imaging.

Spectral Regions

Common Subdivision Schemes

The infrared spectrum is commonly subdivided into three primary regions—near-infrared (), mid-infrared (), and far-infrared ()—based on wavelength ranges that align with distinct physical interactions and technological capabilities. The near-infrared region spans approximately 0.7 to 1.4 μm, overlapping with the and enabling applications like fiber optics and due to its proximity to visible light. The mid-infrared region extends from 1.4 to 15 μm, often further divided into short-wavelength infrared (1.4–3 μm) and longer mid-wave (3–15 μm) sub-bands to reflect varying absorption characteristics. The far-infrared region covers 15 to 1000 μm, where thermal emission dominates and wavelengths approach millimeter scales. These divisions arise from key physical and practical considerations, including the of molecular , which are most prominently observed in the mid-infrared where fundamental stretching and bending modes occur, providing a basis for spectroscopic identification of chemical bonds. Atmospheric transmission windows also influence the boundaries, with relatively clear paths in the near-infrared (around 0.7–1.1 μm) and mid-infrared (3–5 μm and 8–14 μm) allowing for effective ground-based observations and , while stronger absorption by and CO₂ limits transmission elsewhere. Detector sensitivities further justify the scheme, as silicon-based photodiodes excel in the near-infrared, mercury (MCT) detectors perform optimally in the mid-infrared, and microbolometers or cryogenic sensors are required for the far-infrared due to lower photon energies. In spectroscopic contexts, these wavelength ranges correspond to specific intervals, with the mid-infrared commonly expressed as 4000–400 cm⁻¹ to encompass the and regions for molecular analysis. Boundaries exhibit overlaps and variations across disciplines; for instance, often uses 0.78–3 μm for near- to mid-infrared transitions to align with sources, while may extend near-infrared to 2.5 μm to include vibrations. Such inconsistencies stem from historical conventions and application-specific needs, like eye safety standards (e.g., IR-A for near-infrared) versus thermal imaging bands.

Specialized Division Schemes

The (CIE) defines infrared radiation as optical radiation with wavelengths longer than the , starting at 780 nm where human visual response diminishes, though sensation may extend slightly beyond for intense sources; it further subdivides IR into IR-A (780 nm to 1.4 μm), IR-B (1.4 to 3 μm), and IR-C (3 μm to 1 mm) to align with physiological effects on the eye. This scheme prioritizes boundaries tied to human perception and rather than uniform wavelength intervals. The ISO 20473:2007 standard, developed for and applications excluding lighting and telecommunications, divides infrared into short-wave (near-infrared, 0.78–3 μm), mid-wave (3–50 μm), and long-wave (50–1000 μm) regions to standardize descriptions across technical fields. Unlike broader schemes, this emphasizes practical delimitation for calibration and material testing, with mid-wave encompassing vibrational bands and long-wave covering thermal emissions. In astronomy, infrared is segmented into near-IR (0.8–5 μm), mid-IR (5–30 μm), and far-IR (30–1000 μm) to match observational challenges like atmospheric and capabilities; the far-IR regime is particularly vital for detecting thermal emissions from grains, which absorb ultraviolet-visible and re-emit at these longer wavelengths, revealing interstellar structures such as molecular clouds and protostellar envelopes. Telecommunications employs fine-grained near-IR bands optimized for low-loss propagation in silica fiber optics, including the O-band (1260–1360 nm) for short-haul metropolitan networks and the C-band (1530–1565 nm) for long-haul amplification via erbium-doped fibers, enabling high-capacity data transmission with minimal signal attenuation. Infrared divisions based on sensor response align with detector material sensitivities, such as (InSb) photodiodes effective in the mid-IR (1–5.5 μm) for high-speed, cooled applications like thermal imaging, while (HgCdTe) extends to long-wave IR (up to 15 μm) and bolometers handle far-IR beyond 20 μm via thermal absorption. These material-driven boundaries facilitate selection for specific detection tasks, prioritizing over arbitrary wavelength cuts.

Thermal Radiation

Infrared as Heat Radiation

Infrared radiation serves as the primary mechanism for thermal emission from objects at , where the peak wavelength of emission falls within the long-wavelength infrared range around 10 μm, as determined by . This law states that the wavelength at which a blackbody emits the maximum intensity of radiation, λ_max, is inversely proportional to its absolute temperature T, given by the formula λ_max T = 2.897 × 10^{-3} m·K. For typical s of approximately 300 K, this yields λ_max ≈ 9.7 μm, placing the strongest emission in the infrared spectrum and explaining why everyday objects like walls or furniture radiate primarily as infrared waves. Kirchhoff's law of thermal radiation further elucidates this process by establishing that, at and for a given , the ε of a surface—which measures its in emitting —equals its absorptivity α, the fraction of incident it absorbs. Thus, surfaces that are good absorbers of infrared , such as dark or matte materials, are also efficient emitters of thermal infrared at the same wavelengths, ensuring a balance in radiative heat exchange. This underlies why blackened surfaces, which absorb nearly all incident (α ≈ 1), emit strongly when heated, while reflective surfaces like polished metals emit poorly. A practical example is the , which at a normal of about 310 emits peak infrared radiation in the long-wavelength infrared band at approximately 9.3 μm, contributing to loss in environments. In daily life, infrared facilitates through , such as the warmth felt from on the skin—where infrared accounts for much of the heating effect—or the radiative cooling of a hot to the surrounding air, independent of conduction or . It is important to distinguish thermal infrared sources, which arise from the random thermal motion of particles in matter and follow blackbody-like spectra dependent on temperature, from non-thermal sources that produce infrared without significant heat generation. Non-thermal examples include infrared lasers or light-emitting diodes (LEDs) used in remote controls, which emit coherent or directed beams at specific wavelengths like 940 nm through electronic excitation rather than thermal processes.

Blackbody Emission

A blackbody is defined as an idealized physical body that absorbs all incident , regardless of frequency or angle of incidence, and re-emits energy solely based on its , with no or . This perfect absorber also serves as a perfect emitter, providing a theoretical for spectra. The of is described by , which quantifies the power emitted per unit area per unit per unit frequency as a function of \lambda and T: B(\lambda, T) = \frac{2hc^2}{\lambda^5} \frac{1}{e^{hc / \lambda k T} - 1}, where h is Planck's constant, c is the , and k is Boltzmann's constant. This formula reveals that the peaks at a that shifts with , with significant infrared contributions dominating at lower temperatures due to the exponential term in the denominator. Wien's displacement law further characterizes this peak shift, stating that the wavelength \lambda_{\max} at which the spectral radiance is maximum satisfies \lambda_{\max} T = b, where b \approx 2898 \, \mu\mathrm{m \cdot K} is Wien's displacement constant. For terrestrial temperatures around 300 K, \lambda_{\max} falls in the long-wavelength infrared range near 10 \mum, explaining why blackbody emission from everyday objects is predominantly infrared. The total radiant power emitted by a blackbody is governed by the Stefan-Boltzmann law, P = \sigma A T^4, where \sigma = 5.670 \times 10^{-8} \, \mathrm{W \cdot m^{-2} \cdot K^{-4}} is the Stefan-Boltzmann constant and A is the surface area. At temperatures below 1000 K, the majority of this power is emitted in the infrared spectrum, as shorter wavelengths become negligible.

Detection and Measurement

Infrared Detectors

Infrared detectors convert incident into measurable electrical signals, broadly categorized into detectors, which respond to the heat generated by absorbed photons, and quantum detectors, which rely on photon-induced electronic transitions. detectors operate by sensing changes caused by and can function across all bands without wavelength selectivity, making them suitable for detection. Quantum detectors, in contrast, exhibit wavelength-specific responses based on material bandgaps and typically offer higher but often require cooling to minimize . Thermal detectors include bolometers, which measure radiation through changes in electrical resistance due to heating of a sensitive element, such as a thin film of or . The resistance variation is proportional to the rise from absorbed infrared power, enabling room-temperature operation with responsivities on the order of 10^4 to 10^5 V/W in microbolometer arrays. Pyroelectric detectors, another type of thermal device, generate a voltage in response to rapid changes via the pyroelectric in materials like tantalate or PZT ceramics, producing charge proportional to the rate of incident flux. These detectors are inherently AC-coupled, requiring of the input signal, and achieve noise equivalent powers (NEPs) as low as 10^{-9} W/√Hz at room . Both bolometer and pyroelectric types are uncooled and versatile for near- to far-infrared detection, though they exhibit slower response times (milliseconds) compared to quantum alternatives. Quantum detectors, such as , operate by absorbing photons to excite charge carriers across a bandgap, with materials like (HgCdTe) commonly used for mid-infrared detection due to its tunable bandgap (0.1–1.5 eV) via composition control. In photovoltaic mode, the photodiode generates a voltage without external , relying on the built-in to separate electron-hole pairs, which suits low-noise, power-limited applications. Photoconductive mode applies reverse to increase carrier collection speed and gain, though it introduces higher dark current; quantum efficiency η, defined as \eta = \frac{\text{number of charge carriers generated}}{\text{number of incident photons}}, quantifies the conversion efficiency, often exceeding 70% for optimized HgCdTe devices in the 3–5 μm band. These detectors provide high speed (nanoseconds) and spectral selectivity but suffer from thermal generation noise at longer wavelengths. For mid- and far-infrared quantum detection, cryogenic cooling is essential to reduce of carriers, which otherwise overwhelms the signal; typical operating temperatures are 77 K using or below 50 K with mechanical coolers for HgCdTe or InSb devices, achieving background-limited performance with dark currents reduced by orders of magnitude. Uncooled operation is feasible for short-wave infrared but degrades detectivity in longer bands due to increased noise. A key for comparing detector performance is the specific detectivity D^*, given by D^* = \frac{\sqrt{A \Delta f}}{\text{NEP}}, where A is the detector area, Δf is the electrical bandwidth, and NEP is the noise equivalent power (the incident power yielding a signal-to-noise ratio of 1 in 1 Hz bandwidth, in W/√Hz); D^* normalizes for size and speed, with values around 10^{10} cm √Hz/W for room-temperature thermal detectors and up to 10^{12} cm √Hz/W for cooled quantum types.

Spectroscopy Techniques

Infrared spectroscopy techniques enable the analysis of materials by measuring their interaction with , primarily through , , or of light in the mid-infrared region (approximately 4000–400 cm⁻¹). These methods exploit the fact that molecules absorb IR radiation at frequencies corresponding to their vibrational transitions, producing spectra that serve as unique signatures for chemical identification and quantification. Instrumentation typically involves a IR source, a , and detectors to record the modulated signal, with data processed to yield or spectra. Fourier-transform infrared (FTIR) spectroscopy is the predominant technique, utilizing a to achieve high-resolution spectra across a wide range simultaneously. In the Michelson setup, incoming IR radiation is split by a into two paths: one reflects off a fixed mirror, while the other travels to a movable mirror that scans along the , creating a variable path difference. The recombined beams interfere, producing an interferogram—a time-domain signal that encodes the spectral information—which is then converted to a frequency-domain spectrum via . This approach offers advantages over dispersive methods, including higher signal-to-noise ratios and faster acquisition times. The in FTIR, denoted as Δν (in cm⁻¹), is determined by the maximum mirror displacement L (in cm), following the relation Δν = 1/(2L), where 2L represents the maximum difference. For example, a maximum path difference of 2 cm yields a of 0.5 cm⁻¹, allowing distinction of closely spaced bands. Absorption spectroscopy, often performed in transmission mode, quantifies how much IR light is absorbed by a sample as it passes through, providing direct insight into molecular concentrations. The fundamental principle is the Beer-Lambert law, which states that absorbance A is linearly proportional to the analyte concentration c (in mol/L), the path length l (in cm), and the molar absorptivity ε (in L mol⁻¹ cm⁻¹) at a specific wavelength:
A = \varepsilon c l
This law holds for dilute solutions or gases where interactions are minimal, enabling quantitative analysis such as determining protein concentrations in biochemical samples from characteristic amide band intensities. In practice, samples are prepared as thin films, pellets (e.g., KBr matrices for solids), or gas cells to ensure sufficient transmission without saturation. Deviations occur at high concentrations due to non-ideal behaviors, but the law remains foundational for calibration curves in analytical applications.
Emission and reflection modes extend IR spectroscopy to samples unsuitable for transmission, such as opaque solids or viscous liquids, by measuring emitted or reflected radiation instead of transmitted light. In emission spectroscopy, thermally excited samples (e.g., at elevated temperatures) radiate IR light characteristic of their vibrational modes, useful for studying hot gases or surfaces. Reflection techniques, particularly (ATR), facilitate analysis without extensive preparation by exploiting at a high-refractive-index (e.g., or ZnSe) in contact with the sample. The evanescent wave penetrates ~1–5 μm into the sample, interacting with it and attenuating based on ; the reflected is then analyzed via FTIR. ATR is ideal for solids and liquids, requiring only a small amount of material pressed against the crystal, and spectra are corrected for the wavelength-dependent to mimic data. This mode minimizes artifacts from sample thickness and is widely used for in polymers and pharmaceuticals. A key aspect of in mid-IR is the functional group region (4000–1500 cm⁻¹), featuring characteristic absorptions from s, such as O-H stretches near 3500 cm⁻¹ or C=O stretches around 1700 cm⁻¹. The fingerprint region (1500–400 cm⁻¹), where complex combinations of stretching and produce unique patterns for molecular identification, allows differentiation of isomers or contaminants by matching against libraries. Unlike the higher-wavenumber region, the fingerprint area is more skeletal-specific and provides a holistic "signature" for verification, often confirmed by overlaying experimental spectra with standards in database searches.

Applications

Imaging and Sensing

Thermal imaging, also known as , utilizes passive detection of infrared radiation emitted by objects to create visual maps of distributions. This technique captures the thermal emissions in the mid-wave or long-wave infrared , where objects above radiate heat according to their surface , enabling non-contact assessment without external illumination. The spatial of such systems is fundamentally constrained by optical , approximated by the Abbe limit \lambda / (2 \mathrm{NA}), where \lambda is the and \mathrm{NA} is the of the , limiting the smallest resolvable feature to scales on the order of microns to millimeters depending on the infrared band employed. Night vision systems leverage for low-light visibility, distinguishing between active and passive approaches. Active systems employ near- illumination, such as or LED sources around 850–1060 nm, to reflect off targets and enhance visibility in complete darkness, often paired with intensifiers that amplify the reflected for visible output. In contrast, passive night vision detects naturally emitted mid- or long-wave radiation using focal plane arrays (FPAs), such as uncooled microbolometers or cooled detectors, to form based on signatures without any active source, providing effective detection in total darkness but with lower resolution compared to active methods. intensifiers excel in near- amplification for brighter, higher-contrast under minimal ambient , while FPAs dominate for their to differentials. Hyperspectral infrared imaging extends beyond standard capture by recording data across numerous contiguous narrow bands, typically tens to hundreds in the short-, mid-, or long-wave infrared regions, forming a three-dimensional cube for detailed analysis. This allows precise material discrimination by exploiting unique or signatures, such as distinguishing vegetation types or detecting camouflaged objects through subtle features invisible to panchromatic sensors. Systems often integrate tunable Fabry-Pérot filters or dispersive gratings with focal plane arrays to achieve high , enabling applications in remote material identification with on the order of 10–50 nm (or equivalent in wavenumbers). In , satellite-based infrared imaging supports global by monitoring thermal and reflective properties across large scales. The (MODIS) on NASA's and Aqua satellites exemplifies this, featuring multiple infrared bands such as Band 21 (3.929–3.989 µm) for , Bands 31–32 (10.780–12.270 µm) for surface mapping, and Bands 20, 27–29 (3.660–8.700 µm) for and atmospheric , providing daily coverage at resolutions from 250 m to 1 km. These bands capture emitted for deriving land surface temperatures and vegetation health indices, with thermal contrast arising from blackbody emission variations.

Communications and Heating

Infrared radiation plays a crucial role in optical communications, particularly in free-space and fiber-optic systems, where near-infrared wavelengths enable high-bandwidth data transmission with minimal atmospheric or material interference. Free-space optical () communication utilizes near-IR , such as those operating at 1550 nm, to establish links capable of terabit-per-second rates over distances up to several kilometers, offering an to radio-frequency systems in scenarios like satellite-to-ground or urban networking. These systems often employ on-off keying (OOK) modulation for direct detection, where the laser beam is intensity-modulated to encode , achieving bit error rates below 10^{-9} under clear atmospheric conditions with to mitigate . For instance, coherent FSO links at 1550 nm have demonstrated 100 Gbps transmission over 500–700 m with low-orbit satellite-like tracking rates, leveraging dual-polarization quadrature alongside OOK for enhanced . Fiber-optic predominantly rely on infrared wavelengths around the 1.55 μm in silica fibers, where is minimized to approximately 0.2 dB/km due to low and negligible multiphonon absorption, enabling long-haul transmission over thousands of kilometers without amplification. This spectral region, corresponding to telecommunication (C-band, 1530–1565 nm), supports dense (DWDM) with up to 80 channels, each carrying 100 Gbps or more, as silica's transparency peaks near this wavelength from intrinsic material properties. Erbium-doped fiber amplifiers further exploit this band for signal regeneration, making 1.55 μm the standard for global infrastructure. Beyond communications, infrared is integral to thermal applications, including heating and cooling processes that leverage radiative transfer for energy efficiency. Infrared radiative heaters, often using far-IR emitters like ceramic or quartz elements peaking at 2–8 μm, are employed in industrial drying operations such as paint curing on automotive parts or solvent evaporation in textiles, where direct radiation penetrates surfaces to accelerate moisture removal at rates up to 50% faster than convective methods. The efficiency of these heaters, typically 60–90% in converting electrical input to radiant output, depends on the emissivity ε of both the emitter and target material—high-ε surfaces (ε ≈ 0.8–0.9 for oxidized metals or organics) absorb up to 90% of incident energy, optimizing heat transfer while minimizing convection losses in enclosed systems. Infrared-based radiative cooling achieves sub-ambient temperatures passively by employing selective emitters that radiate heat through the atmospheric transparency window of 8–13 μm, where Earth's atmosphere is nearly transparent, allowing thermal photons to escape to space at 3 K. These or photonic structures, such as multilayer films, exhibit high (ε > 0.9) in this band while reflecting >95% of solar , with demonstrated net cooling powers of around 40–100 / daytime and higher nighttime values up to ~120 / under clear skies, achieving temperature drops of 5–10°C below ambient air temperature. This approach, distinct from near-IR telecom uses, targets far-IR for management in buildings and without energy input.

Scientific and Medical Uses

Infrared radiation plays a pivotal role in astronomy by enabling observations that penetrate interstellar dust clouds, which obscure visible light. The (JWST) utilizes and mid-infrared (MIR) instruments, such as the Near-Infrared Camera (NIRCam) and the (), to capture wavelengths from approximately 0.6 to 28.5 μm. These capabilities allow astronomers to study star-forming regions within dense nebulae, like , where NIR light reveals embedded protostars and warm dust that would otherwise be hidden. As of 2025, JWST observations have revealed detailed atmospheres and confirmed galaxies from 300 million years after the , leveraging IR to penetrate . Furthermore, infrared astronomy facilitates the detection of redshifted light from distant galaxies, where cosmological expansion stretches and visible emissions into longer IR wavelengths. JWST's NIRSpec spectrograph, operating from 0.6 to 5.3 μm, analyzes this light to probe the early , including the formation of the first and galaxies at redshifts greater than 7, providing insights into cosmic evolution and . MIRI's medium-resolution (4.9–27.9 μm) complements this by characterizing molecular gas and dust in high-redshift environments. In , infrared light is harnessed through photobiomodulation (PBM) therapy, which employs red and near-infrared wavelengths (600–1000 nm) to promote by stimulating cellular processes. The primary mechanism involves absorption by in mitochondria, leading to increased ATP production, reduced inflammation via lowered pro-inflammatory cytokines like TNF-α, and enhanced tissue repair through proliferation and synthesis. Clinical evidence supports its efficacy for wounds, such as diabetic ulcers, with studies showing accelerated rates using 810 nm light at energy densities of 0.04–50 J/cm². However, high-intensity near-infrared radiation poses significant hazards, particularly retinal damage due to its transmission through the cornea and lens to focus on the retina. In the 400–1400 nm range, including near-IR (780–1400 nm), exposure can cause thermal burns and permanent lesions in the macula, as the eye's optics concentrate energy up to 100,000 times, leading to irreversible tissue destruction without pain warning. Safety guidelines emphasize limiting exposure to prevent such photochemical and thermal effects in ophthalmic and laser applications. Environmentally, is essential in for identifying bands, with (CO₂) exhibiting strong peaks at 4.3 μm and 15 μm that trap outgoing . These bands, particularly the 15 μm vibration-rotation near the Earth's blackbody emission peak, contribute significantly to the ; for example, in the 4.3 μm band, coefficients increase from about 0.11 m⁻¹ at 100 ppm to 0.44 m⁻¹ at 400 ppm near Earth's surface for 10 km paths. In , infrared from sensors like those on GOES satellites measures cloud-top temperatures in the 10–12 μm IR window, enabling day-night monitoring of storm intensity and detection by distinguishing cold cloud heights from warmer surfaces. Biologically, certain snakes, such as pit vipers in the Crotalinae subfamily, possess specialized pit organs that detect mid-infrared radiation (peaking around 10 μm) for thermoreception. These facial pits feature a thin, vascularized membrane that senses temperature differentials as small as 0.003°C from prey, with signals processed via the to integrate IR cues with visual input for accurate targeting up to 66 cm away. This evolutionary adaptation, found in boid and crotaline snakes, relies on ~7000 nerve endings converting radiant (threshold ~10.75 μW/cm²) into neural impulses.

History and Development

Early Discoveries

In 1800, British astronomer conducted experiments to determine which colors in the solar contributed most to heating. By dispersing sunlight through a and placing mercury-in-glass thermometers in the resulting , he observed that temperatures were highest beyond the visible red band, where no light was apparent. This indicated the presence of invisible rays responsible for the heating effect, which he termed "invisible rays" and later recognized as part of the solar extending beyond the visible range. Herschel's findings, detailed in his paper presented to the Royal Society, marked the first identification of what would become known as infrared radiation. During the 1830s, Italian physicist Macedonio Melloni significantly advanced infrared detection through his development of the , an instrument comprising alternating bars of and connected in series to amplify thermal signals via the Seebeck effect. This device allowed precise measurement of infrared radiation's intensity and properties, enabling Melloni to detect "heat rays" from sources as distant as a 30 feet away. He coined the term "rayons calorifiques" (heat rays) and conducted experiments demonstrating that these rays could be reflected by parabolic mirrors, refracted by rock salt prisms, diffracted, and even polarized, behaviors analogous to visible light. Melloni's work, published in French scientific journals, established infrared as a form of radiant heat with optical characteristics. Early understandings of infrared often framed it within the , positing it as a fluid-like substance of rather than an electromagnetic phenomenon akin to . This misconception, rooted in 18th-century views of as a material entity, was gradually challenged by Melloni's wave-like demonstrations and Herschel's spectral placement, though full acceptance as electromagnetic waves awaited James Clerk Maxwell's 1865 theory.

Modern Advancements

In 1900, introduced his quantum hypothesis to resolve the discrepancies in classical theories of , proposing that energy is emitted in discrete quanta, which accurately described the infrared-dominated spectrum of from blackbodies at various temperatures./01:_The_Dawn_of_the_Quantum_Theory/1.02:_Quantum_Hypothesis_Used_for_Blackbody_Radiation_Law) This foundational concept, building on earlier empirical observations of thermal detectors, laid the groundwork for and revolutionized the theoretical understanding of infrared emission. During the to , the development of () photoconductive detectors marked a significant technological leap, offering practical sensitivity to near-infrared wavelengths up to about 3 μm. These detectors, refined extensively in the , were pivotal for applications, enabling early active infrared systems like the German Vampir device and Allied "sniperscopes" for low-light combat operations. The 1960s brought breakthroughs in infrared laser technology, with the first continuous-wave helium-neon (He-Ne) laser operating at 3.39 μm in the mid-infrared range, demonstrated by researchers at Bell Laboratories. This achievement, leveraging interband transitions in neon atoms pumped by helium, enabled stable coherent infrared sources for and alignment applications. By the 1970s, semiconductor diode lasers emerged, with heterostructure designs using materials like GaAs achieving room-temperature continuous-wave operation in the near-infrared around 0.8–0.9 μm, dramatically improving efficiency and portability for and sensing. In 1994, the invention of quantum cascade lasers (QCLs) at Bell Laboratories introduced a novel unipolar electron injection mechanism across engineered quantum wells, enabling tunable emission in the mid-infrared (4–12 μm) without relying on bandgap energies. This high-impact innovation, now commercially available, supports compact, high-power sources for trace gas detection and free-space communications. Post-2000 developments in hyperspectral infrared sensors have enhanced capabilities, with satellite-based systems like NASA's Hyperion (launched 2000) providing high-resolution spectral imaging across hundreds of infrared bands for and material identification. In the , advances in room-temperature long-wave infrared detectors, such as graphene-based devices for long-wave infrared (8–15 μm) detection, have achieved high detectivity and ultrafast response times, promising applications in thermal imaging and without cryogenic cooling.

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