1. Introduction
Standoff detection of chemical species (e.g., some atmospheric constituents, explosive, toxic, or hazardous gases), where both the personnel and the detection system are at some distance from the object being measured to realize chemical detection, is a highly sought-after capability for a wide range of applications [
1]. Especially in some practical scenarios, remote detection, identification of chemicals, and quantification of chemical concentrations from a safe standoff distance is required. Specific applications include, but are not limited to, the following aspects. (1) Detecting chemical warfare agents (CWAs) and explosives in the public palaces or even on the battlefield [
2,
3,
4]. A recent solicitation for the US Department of Defense expected to develop field diagnostic capabilities for CWAs detection [
5]. (2) Greenhouse gas (GHG) measurement and environmental monitoring [
3]. The temporal and spatial distribution of greenhouse gases, such as CO
2, CH
4, O
3, etc., is of great concern to those who study climate change. Moreover, very typical applications also involve detection of exhaust emissions from vehicles and industries, as well as monitoring some other atmospheric constituents (NH
3, NO …), which is necessary for environmental assessment and protection. (3) Industrial leak detection. For petroleum and petrochemical industry, remote sensing, and automatic inspection of leak gases (mostly combustible and toxic) in the whole plant area have always been a very strong demand [
6]. It can be extended to oil field exploitation, storage and transportation, refining and chemical production, and has important significance for safety. In addition, the related applications include safety inspections in public places, such as station and airports.
Although the precise requirements vary with specific applications, the key common requirements are summarized by N. Macleod and D. Weidmann for standoff chemical detection [
7], including multi-species detection, high detection sensitivity, large dynamic range, flexible standoff detection ranges, rapid temporal response, eye-safe laser operation, compact and rugged design, as well as cost-effectiveness. Obviously, these requirements put forward a formidable challenge to detection technology.
Laser absorption spectroscopy (LAS) employs a laser as the spectroscopic light source, and measures the chemical concentration—based on the detection of a variation of laser beam intensity after transmission along the optical path, or based on detection of the acoustic waves caused by laser-radiation absorption of target chemicals. LAS is proven one of the most sensitive technologies for quantitative measurement of gas-phase chemicals because nearly every molecule possesses a unique spectroscopic “fingerprint” in the infrared spectral region [
8]. Compared with conventional absorption spectroscopy using broadband incoherent radiation sources, LAS-based chemical sensing offers a highly desirable combination of high-sensitivity and high-speed detection, and the collimated laser source with high brightness allows beam propagation over large distances. Therefore, it not only can easily be configured with a cooperative target (e.g., corner-cube, retroreflector) for open-path detection, but more importantly can be used for true standoff sensing with non-cooperative targets (e.g., diffusely scattering topographic) for more flexible and diverse applications. This is an advantage of LAS over other optical sensing techniques with non-laser light sources [
9], such as differential optical absorption spectroscopy (DOAS) [
10,
11], Fourier transform infrared (FTIR) spectroscopy [
12,
13], etc. Due to the low power of the thermal radiation sources employed in FTIR, open-path FTIR systems usually require long integration times to collect a spectrum. This is especially the case when trace compounds have to be detected, which only show up in tiny spectral signatures in the spectra. In addition, thanks to the use of laser source, LAS-based standoff technology has good features of improved spectral selectivity or resolution, high selectivity, good spatial resolution and high spatial coherence [
14], which help it meet the aforementioned requirements of remote detections to the greatest extent and make it one of the most promising solutions for highly efficient and sensitive standoff chemical detection.
On the other hand, although many laser diagnostic technologies have their own applications and characteristics [
15], LAS can easily meet the requirement of human eye-safe operation, due to less demanding of laser power, when compared with other standoff laser spectroscopic technologies that are not based on absorption spectroscopy, such as laser-induced fluorescence (LIF) [
16], laser-induced breakdown spectroscopy (LIBS) [
17] and coherent anti-Stokes Raman spectroscopy (CARS) [
18]. While in LIBS, LIF or CARS, a laser is transmitted into the open air, and these techniques may help capable to approach the required sensitivity levels but generally fail to meet the eye-safe criteria or selectivity [
19]. Although Raman spectroscopy can achieve standoff chemical detection using eye-safe laser radiation [
20], the small Raman cross-section limits the SNR and the sensitivity [
21]. However, it should be noted that line-of-sight is necessary for optical measurement. Once the light path is blocked by obstacles in standoff measurement, it will cause the measurement failure. Therefore, special attention should be paid to this challenge in the actual remote sensing applications using LAS technology.
LAS technology for local measurements has been comprehensively reviewed recently, which are typically used in the fields of combustion diagnosis [
22,
23] and breath analysis [
24]. While LAS-based standoff detection technology has been extensively studied, especially in the past decade, and can be implemented in various system configurations using different spectroscopic methods. These LAS-based techniques include differential absorption LiDAR (DIAL), tunable diode laser absorption spectroscopy (TDLAS), laser photoacoustic spectroscopy (LPAS), dual-comb spectroscopy (DCS), laser heterodyne radiometry (LHR) and active coherent laser absorption spectroscopy (ACLaS). The straightforward solution of standoff LAS systems is to arrange a laser transmitter and receiver face to face or both at the same end and with a retroreflector at the distal end. The latter is more common in remote detection applications because of its more practical characteristics. The advantage of this scheme is that the detector can receive very strong laser energy, which ensures a high signal-to-noise ratio (SNR) and a long detection range. Therefore, almost all LAS methods can use this configuration to realize open-path detection. On the other hand, another way of standoff detection is achieved by detecting the backscattered light from a distant hard target or topographic target (namely non-cooperative target), which is the true standoff detection and more attractive in practical applications. Both standoff detections, with a cooperative target and with non-cooperative target, have been developed, and even widely applied in the past decade. Furthermore, some LAS-based techniques have been used for quantitative measurement of liquids, solids or plasma apart from detection of gases or vapors. Therefore, it is necessary to summarize these LAS-based standoff detection technologies in principles of operation, critical enabling technology, advantages and limitations. Unfortunately, there is no comprehensive review of the development of this direction in recent years to our best of knowledge.
Based on a brief overview of the principle of LAS for quantitative measurement, the aforementioned LAS-based techniques for standoff-detection were reviewed one by one in this paper, covering their principles, system components, characteristics, and state-of-the-art. In view of the urging demands in both the use and development of standoff chemical detection technology, a goal of this manuscript is to provide a comprehensive understanding and an overview of the related laser spectroscopic techniques and a reference for future research and development in this field.
2. Basic Principle
When a beam of light, either monochromatic or composite, passes through the target gas, the absorption spectrum is generated if the molecule of the irradiated sample gas selectively absorbs some frequency bands of the radiated light. The fundamentals of molecular absorption spectroscopy have been elaborated in detail [
25,
26]. According to the theory of the electromagnetic spectrum, the mechanism of spectrum generation in different regions are different, and corresponds to different energy level transitions. From near-infrared (NIR) to mid-infrared (MIR), the absorption spectra are mainly caused by vibrational and rotational transitions of molecules, which is the main concern of this paper. Almost all chemical species have their unique absorption spectra in the IR region. The specific position, shape and intensity of the absorption line carry the characteristic information of the absorbent. Coupled with HITRAN database [
27] with line-by-line parameters, GEISA spectroscopic database [
28] or PNNL database [
29], it forms the basis for gas-phase species detection.
The fundamental theory lying behind absorption spectroscopy is the Beer-Lambert law, which describes the relationship between the transmitted intensity
It and the incident intensity
I0 through the gas medium. Its expression is presented in Equation (1) with multiple forms [
30]:
where
αν is the spectral absorbance,
kν [cm
−1] is the spectral absorption coefficient,
L [cm] is the absorption pathlength,
n [molecule/cm
3] is the number density of the absorbing species,
σν [cm
2/molecule] is the absorption cross-section,
S [cm
−2/atm] is the absorption linestrength of an individual transition line,
φν [cm] is the frequency-dependent lineshape function,
P [atm] is the total gas pressure, and
χi is the mole fraction of the absorbing species
i. The subscript
ν denotes the spectral dependence of the parameter on the light frequency
ν.
Different forms in Equation (1) express the gradual expansions of the total absorbance αν. The first three forms are applicable to absorption spectroscopic measurements in general. When knowing the absorption cross-section σν, one can obtain the number density of the absorbing species according to the third expression. However, the last form is more demanding because it contains a lineshape function. Therefore, it is suitable for the measurement of small gas molecules with narrow absorption features, which can be described by an analytical expression. The narrow spectral lines can be obtained by wavelength scanning of tunable lasers with a rather narrow linewidth, so that quantitative measurements are performed to determine the chemical concentration of interest via the measured ratio I0 (ν)/It (ν).
It is more challenging for practical standoff detection in the open atmosphere. In the laboratory, the intensities
It (
ν) and
I0 (
ν) can be determined by measurements with and without the absorber in the light beam, which is easily implemented in sampling measurement with a gas cell. However,
I0 (
ν) is difficult to determine in the open-path standoff detection applications, as it would involve removing the air, or more precisely the absorbing gas, from the atmosphere. On the other hand, when the laser beam passes through the atmosphere, its intensity decreases, due to the absorption of a target gas. Besides that, it also suffers extinction owing to absorption by other trace gases in the atmosphere, and scattering by air molecules and aerosol particles. In addition, the transmissivity of the instrument (mirrors, windows, retroreflectors, grating, etc.) will also reduce the light intensity. Moreover, atmospheric turbulence can cause fluctuations in both the intensity and the phase, as well as widen the light beam, due to variations of the refractive index along the transmission path caused by inhomogeneities in the temperature and pressure of the atmosphere [
31]. Therefore, the laser power collected by the receiver would also decrease. As a result, various factors affecting the light intensity should be taken into account by a formula that includes the absorption of various trace gases with concentration
nj and absorption cross-sections
σj (
ν), Rayleigh and Mie extinction,
εR (
ν) and
εM (
ν), as well as the instrumental effects and turbulence
A (
ν), to deduce an expanding Beer-Lambert law [
11]:
It is difficult or even not achievable in practical terms to determine the multiple factors affecting the light intensity in the atmosphere. However, note that aerosol extinction processes, the effect of turbulence, and many trace gas absorptions show very broad or even smooth spectral characteristics [
11], so these effects can collectively be regarded as background variations. For the case where the target absorbers and their cross-sections are known, and the absorbers are narrow, it is possible to calculate the baseline to remove these background variations [
32]. Another solution is measuring the difference between the absorptions at two different but near wavelengths, i.e., so-called ‘differential’ absorption. This approach benefits from the cancellation of common-mode terms, due to the background that is nearly identical at both wavelengths. Alternatively, one can employ the signal processing method of differential optical absorption spectroscopy (DOAS) to separate broad- and narrowband spectral structures in an absorption spectrum in order to eliminate the influence of background and isolate the target gas absorptions [
11,
33].
The performance of LAS-based sensors is commonly evaluated through the detection limit, which can be assessed by the noise-equivalent absorbance (NEA) or the minimal detectable concentration (e.g., in ppm) [
30]. In standoff detection, the optical pathlength depends on the standoff distance that is usually variable in real-world applications, and hence, the performance is often quantified using the pathlength-integrated unit of ppm·m [
9]. Further normalization with bandwidth renders a detection limit in the unit of ppm·m·Hz
−1/2 to account for the SNR improvement with averaging in the domain that white noise dominates [
7].
3. Differential Absorption LiDAR (DIAL)
The methodology of Differential Absorption LiDAR (DIAL) has been developed in the 1960s. DIAL was first employed in 1966 for remote measurement of water vapor [
34], which made it the earliest laser absorption-based technique to be used for remote atmospheric-sounding. The IR region, particularly over the range of 1.0–16.0 µm is the most commonly used band for DIAL sounding applications [
3], in which a large number of strong absorption lines of nearly every atmospheric gas and pollutant are located. Moreover, it is in the spectral region that extensive absorption bands of most CWAs and toxic industrial chemicals (TICs) are situated [
3]. Although it is usually impractical to detect light directly scattered from the plume itself, due to low molecular (Rayleigh) scattering efficiency in the IR spectral region, DIAL can use the aerosol particulates contained in the plume with a corresponding high Mie scattering cross-section or a hard surface located behind the plume to scatter or reflect laser light back to the detector. Therefore, two ways are executable for atmospheric sounding with the DIAL method in practice, namely, the LiDAR approach and integrated path differential absorption (IPDA) approach [
3], respectively. The former method is usually referred to in literature as a “range-resolved DIAL (RR-DIAL)”, as shown in
Figure 1a. This mode remotely measures the gaseous impurity profiles via backscattered light by atmospheric aerosol with space resolution Δ
R. The spatial resolution is limited by laser pulse width
τ (Δ
R =
cτ/2), but the real value depends on the counting rate (
Scr) or the dwell time (1/
Scr) if photon counting mode is employed (Δ
R =
c/2
Scr). While for IPDA approach, it provides a method to detect a signal reflected or diffusely reflected from different topographic surfaces, as shown in
Figure 1b. This method ensures a highly sensitive determination of average concentrations of gaseous impurities along optical paths in directions corresponding to the azimuth of topographic targets.
The principle of DIAL is shown in
Figure 1. A dual-wavelength laser pulse is sent in the direction of a target to realize an absorption measurement. One wavelength is tuned to a strong absorption feature of the gas of interest, often referred to as the “on” wavelength (
λon) and the other is set at a nearby wavelength with weak absorption by the target gas, generally called the “off” wavelength (
λoff), as shown in
Figure 1d. A sensitive photodetector detects the light backscattered by particles at the two different wavelengths. The average gas concentration,
NA, within the range interval ∆
R, can be calculated from the ratio of the backscattered LiDAR signals at
λon and
λoff [
4,
35]:
where,
σ (
λon) and
σ (
λoff) are the absorption cross-sections at
λon and
λoff, and
Pron(
R) and
Proff (
R) are the received light powers from range
R at the on and off wavelengths, respectively, as shown in
Figure 1c. As can be seen from Equation (3), the calculation after the measurement process is simplified, due to the use of a differential approach.
There have been several review articles with respect to DIAL and its applications [
4,
36]. DIAL has the advantages of high temporal and spatial resolution, as well as high detection sensitivity. However, the system design is relatively complicated, and especially the high quality and high-power laser source is a key component. DIAL systems are usually divided into two design categories based on their transmitter characteristics [
37], i.e., using high-power tunable dye lasers and fixed-wavelength lasers, respectively. The former system is extremely versatile, but is relatively large with high power consumption, and thus, is limited to large aircraft platforms, which are costly to operate. While the latter can be made more compact for operation on smaller aircrafts, but cannot be optimized to maximize the temporal and spatial resolution and minimize undesired interferences. Progress in tunable solid-state laser technology have bridged the gap between these two approaches [
38,
39]. DIAL has been recently extended to multi-species measurements by using tunable broadband optical parametric oscillators [
40,
41]. A summary about representative DIAL detections is shown in
Table 1 with the different species, the wavelength used and the detection capacities. As can be seen in
Table 1, DIAL systems can also be classified based on the wavelengths utilized, including UV, visible, NIR, MIR, and THz. Many combinations are possible in practical applications. For example, a DIAL system has been developed by the National Physical Laboratory with the capability of measuring a wide range of species in the UV and IR spectral regions [
42,
43], in which two synchronized continuum Nd-YAG lasers were used to provide pump energies for the frequency conversion stages, running at 10 Hz and ~8 ns pulse duration. A Sirah dye laser is also employed to provide narrowband tunable radiation that is either frequency-doubled to give UV output, or converted into IR by different frequency-mixing and optical parametric amplification using the tangential phase-matching scheme. The DIAL system can be used to monitor atmospheric pollutants remotely, at ranges of up to 1 km, including methane, ethane, ethene, ethyne, general hydrocarbons (HCs, e.g., petroleum and diesel vapors), HCl, NO, NO
2, SO
2, benzene and toluene [
44].
Improving the detection SNR of DIAL has always been a relentless pursuit of researchers, because the weak echo signal received by the photodetector is mixed with the background noise and the detector noise. Detailed sensitivity analysis has been made for DIAL measurements [
45,
46], which laid the foundation for SNR improvement. Most recently, an upconversion detector (UCD)—a combination of an optical upconverter that efficiently translates infrared signals to the visible region and a visible detector that has high detectivity—has been used for CO
2 [
47] and CH
4 DIAL [
48]. Benefiting from the SNR improvement compared with direct detection by InGaAs based detector, the system possessed the ability to measure the differential absorption optical depths between 3 and 9 km with relative errors less than 11% [
49]. On the other hand, numerous signal processing and denoising methods have been proposed to improve SNR and performance of DIAL. A method of wavelets based on a soft threshold was demonstrated that it could effectively denoise the noisy LiDAR signals in strong background light and achieve improvement in the signal to noise ratio of the system [
50]. A lifting wavelet transform denoising method was also presented to obtain the high-quality signal of ground-based CO
2-DIAL [
51]. A universal multi-event locator, as an original automatic detection tool, was demonstrated to improve the measurements of LiDAR and DIAL systems, benefiting from manifold advantages of the technique in detecting backscattering peaks [
49]. The method was also very effective in improving the detection of single events buried in a quite high level of noise. In addition, neural networks have been used for columnar CO
2 retrieval, which allowed one to involve additional a priori information and to couple different input and output data [
52]. The involvement of a priori data on the pressure profile significantly increases the retrieval accuracy. The temperature data increases the accuracy, but by less than 0.2–0.4 ppm [
53]. A detailed error budget analysis has been presented for the multi-frequency DIAL measurements, which provided an important reference for SNR improvement [
40].
RR-DIAL can achieve spatially resolved measurement by collecting light backscattered from different ranges. However, this atmospheric scattering has about 1 million times lower reflectance than the cooperative corner cubes. The extremely weak echoes cause conventional RR-DIAL systems to be more complex and to require higher laser power, larger optics, and speciality detectors. Dobler et al. have developed an improved system, named greenhouse gas laser imaging tomography experiment (GreenLITE ™), for two-dimensional (2D) GHG spatial distribution measurement on local scales [
60]. Two fiber-coupled DFB lasers are employed to generate an online with strong absorptions at 1571.112 nm and an offline with significantly lower absorptions at 1571.061 nm for CO
2 detection and 2D mapping. Different from the traditional DIAL, GreenLITE uses intensity-modulated continuous wave semiconductor lasers as the light source and retroreflectors at the far end as the cooperative targets. Benefiting from the use of lock-in processing technique and retroreflectors, the detection SNR (typically >3000) can be improved greatly. A measurement precision ranges from 0.5 to 2.3 ppm, which depends on the distance and the environment. Two or more scannable transceivers and tens of retroreflectors are arranged such that the lines (or chords) between the two transceivers and each retroreflector generate a grid of interweaved segments. Computer tomography (CT) algorithm is used to reconstruct the 2D spatial distribution of CO
2 concentration by means of the measured integrated CO
2 column concentration along each horizontal chord. Field tests show that an accuracy of source localization is better than 11 m on a 0.2-km
2 grid, while in the presence of ambient CO
2 concentrations and prevailing local wind. Field deployments demonstrate GreenLITE’s capability for many applications ranging from continuous remote monitoring of ground carbon storage/sequestration facilities to the real-time measurement and assessment of subscale GHG events within complex open-air environments [
61,
62,
63].
In addition, in order to use for the ground-based remote sensing, DIAL systems have been equipped on various platforms to expand the applications from local point measurement to large-scale regional detection and even global observation [
64]. Common platforms include, but are not limited to, vehicles, uncrewed aerial vehicles (UAVs), aircrafts and satellites. Vehicle-based DIALs are usually used to monitor the emission flux of areas of interest, e.g., industrial complexes and urban sectors emission, with simultaneously measuring the atmospheric temperature, atmospheric pressure, wind speed, and wind direction [
64,
65]. Recently, a compact and movable ozone DIAL based on an all-solid-state and tuning-free laser source has been developed and deployed as vehicle-borne detection for regional O
3 pollution monitoring [
66]. The development of airborne DIAL began in the late 1970s and early 1980s [
67]. In airborne monitoring, IPDA approach is generally exploited for gas column measurement of interest. An airborne prototype prior to the GreenLITE system has been demonstrated and used in a number of field campaigns for high-precision CO
2 column measurements [
68,
69]. Other airborne CO
2 DIALs have also been developed and applied based on absorptions at either 1.57 µm [
70] or 2 µm [
71,
72]. Water vapor in the atmosphere can be simultaneously measured with CO
2 by using an airborne triple-pulsed 2 µm IPDA [
73,
74]. Additionally, airborne DIALs have been developed for simultaneous measurement of ozone and water vapor profiles in the tropopause region [
75] and for CH
4 observations [
76,
77,
78]. Not only have airborne DIAL systems provided a wealth of information about atmospheric chemistry and dynamics during the past 40 years, but also their development and deployment provide a good foundation upon which to base designs for space-based DIAL systems [
46,
79,
80]. Employing an IPDA LiDAR instrument, the methane remote sensing LiDAR mission (MERLIN) aims at demonstrating the spaceborne active measurement of atmospheric methane, with a launch currently scheduled for the timeframe 2021/22 [
81,
82]. Spaceborne DIAL for atmospheric gas traces sensing will certainly help for climate monitoring and to predict the importance of global climate changes.
In summary, DIAL technology can be applied from local to global scale depending on the objectives of the measurements. Specific applications include but are not limited to global measurement of atmospheric constituents, detection and measurement of chemical warfare agents, detection and measurement of a pollutant over urban areas, validation or calibration of models, use of high-resolution Doppler LiDAR as a complementary tool, which has been reviewed in detail in Reference [
49]. Furthermore, it is noteworthy that one of the advantages in the use of RR-DIAL is the obtainment of spatial distributions of chemical vapors. Because the knowledge of chemical vapor spatial distributions is important to separate and independently quantify emissions from multiple sources and to discriminate between the chemical source and the background. The spatial resolution of the technique is usually on the order of several meters or more, as shown in
Table 1 for general DIALs. However, an alternative to the IPDA approach, referred to as backwards transient absorption spectroscopy (BTAS) has been presented to be able to reach millimeter scale spatial resolution [
83]. In BTAS, a UV (195 nm) pump and an NIR probe pulsed laser beams illuminate the same spot on a topography target located behind the gas to be measured, and the NIR backscattered photons are utilized to acquire transient absorption spectra of Rydberg state excited by the UV pump laser. The spatial resolution of the technique is determined by the laser pulse duration (15 ps) and the lifetime of the Rydberg state (3.2 ps). This BTAS technique is expected to bring new applications of ultrahigh spatial resolution detection. In addition, LiDAR techniques have also been demonstrated for combustion diagnostics recently. A centimeter-scale range resolution for a collection distance of 2.5 m and a detection limit of 30 ppm for measurement of potassium chloride (KCl) in a large-scale boiler were achieved by a picosecond DIAL [
84]. A portable Scheimpflug LiDAR system was developed and used for large-scale (~1–20 m) combustion diagnostics [
85]. Most recently, a DIAL based on a broadband supercontinuum laser has been reported for temperature measurement in combustion power plants [
86].
6. Dual-Comb Spectroscopy (DCS)
As a radically new laser technology, optical frequency combs (OFCs) appeared and finally won the Nobel Prize in physics in 2005 [
169]. Frequency combs enable the first direct and phase coherent links between the measurable radio frequencies and quasi-optical/optical frequencies (10
12 to 10
15 Hz), offering an innovative way to conduct broadband absorption spectroscopy. Frequency-comb-based absorption spectroscopy, especially in the molecular fingerprint part of the MIR spectral region, has great potential for remote chemical detection, due to massive parallelism of data acquisition [
170].
Dual-comb spectroscopy (DCS) provides one approach for the detection of multiple species and broadband spectra with high spectral resolution and high time-resolution [
171,
172,
173,
174,
175,
176,
177]. The key idea of DCS is that one can use two broadband frequency combs with slightly different repetition rates to naturally down convert absorption features with a fast detector from optical frequencies to the RF regime. This method shows at least two major improvements compared with the conventional way like FTIR. First, it abandons the moving component, which holds back the resolution and requisition time. Second, after the signal is down converted to RF regime, mature signal amplification, and digital data requisition/analysis technologies can help to boost its SNR. Moreover, DCS has enormous advantages for standoff detection [
32], including broadband spectral coverage for multi-species detection, a bright diffraction-limited source for high SNR over multikilometer ranges, a rapid update rate for immunity to turbulence-induced optical intensity fluctuations, and high-accuracy spectra through sampling the transmission on a comb tooth-by-tooth basis. An excellent review of DCS has been presented by Ian Coddington et al. in 2016 [
174], which provides a detailed reference for DCS researchers. Here, we focus on the standoff applications by means of DCS. The schematic diagram of a typical DCS standoff detection is shown in
Figure 9. It is noteworthy that the variations in the comb spectrum must be effectively normalized so that only the response of the sample is measured.
As early as 2005, a frequency comb FTIR spectrometer that employed a laser-like infrared probing beam generated from two 10-fs Ti: sapphire lasers was demonstrated to overcome the limitations of traditional FTIR in rapidity and standoff distance [
176]. A DCS based remote sensing of greenhouse gases was developed to achieve a precision of ∼0.86 ppm for CO
2 and ∼2.3 ppb for CH
4 with a ∼2.2 km air path and ∼5 min integration time [
32]. The interferogram for a single spectrum can be obtained in a few milliseconds, which effectively reduces the influence of intensity-modulation on the experimental data caused by atmospheric turbulence. Moreover, it has been used for the detection of methane leaks in the field [
178]. Furthermore, a quantitative intercomparison between two open-path DCS instruments, which were operated across adjacent 2-km open-air paths over a two-week period, was presented [
179]. Afterwards, the standoff distance was extended to 5.8 km (round trip 11.6 km) for city-scale open-path greenhouse gas monitoring [
180]. Subsequently, the research group demonstrated DCS to a retroreflector that is mounted on a small uncrewed aircraft system (sUAS) to scan horizontal and vertical paths and retrieve the column integrated mixing ratios of H
2O, CO
2, and CH
4 [
181]. Most recently, an MIR DCS with a broad comb spectrum ranging from 2750 cm
−1 to 3150 cm
−1 was developed for VOCs detection over up to 1 km long open-air paths [
182]. Both combs were combined before propagation through the turbulent air path, and therefore, turbulence-induced phase front distortions are common mode. For this reason, the phase noise caused by turbulence can be eliminated, and high heterodyne mixing efficiency between the combs can be maintained. In addition to being used for environmental monitoring, DCS has also been applied to combustion diagnosis [
183]. Although DCS is able to provide broadband and fast measurements, it requires expensive laser equipment and data acquisition electronics. In addition, because of the massively broadband nature, standoff DCS usually requires a reflector at the far end of the path to ensure sufficient SNR and long detection distance [
181]. Encouragingly, Joel M. Hensley et al. demonstrated the standoff detection ability with non-cooperative targets by a developed QCL based DCS system against diffusely scattering surfaces at a distance up to 1 m [
184]. However, the measurement SNR was limited by measurement fluctuation and self-mixing interference, due to diffusely scattering. The standoff detection achievements for DCS are summarized in
Table 5. Note that the detection time shown in
Table 5 were generally set to be the optimal averaging time period, according to the timescale of the atmospheric fluctuations in practical measurements [
32]. A large averaging time (tens of seconds to minutes) helps improve measurement sensitivity, which is allowable for long-period (hours to days) time-resolved measurements. However, DCS can also be used for real-time open-path measurement with 1 s resolution [
172] or even ultrafast time-resolved measurements for combustion diagnosis [
185]. Most recently, a field-deployed MIR DCS system, based on QCLs, has been demonstrated for remote detection of chemicals for the first time [
186]. Covering a wavelength band from 975 to 1010 cm
−1 and cooperating with a retroreflector far away, the QCL-based DCS is used for standoff detection of methanol, R134a, ethanol, acetic acid, and isopropanol alcohol. The robust construction and suitability for field deployments have been verified. The compact system design provides a reference for miniaturized and portable applications of DCS.
It is worth noting that DCS can measure not only the absorption spectrum, but also the phase spectrum, which also contains the equivalent information of the target sample like the former. Unlike both combs are transmitted through the sample, as shown in
Figure 9, if a single OFC is sent through the sample and combined with the local oscillator OFC immediately prior to the detector, then both phase and absorption can be measured [
175,
187]. Phase spectroscopy of CO
2, CH
4 and H
2O has been demonstrated across a 2-km long atmospheric path by using a 7 THz bandwidth DCS [
187]. However, phase-sensitive measurement in the open atmosphere is subject to turbulence which adds significant phase noise to the transmitted light. Therefore, phase correction is usually necessary to reduce phase noise and obtain a high-SNR spectrum.
In brief, DCS is a very promising candidate for standoff detection with intermediate resolutions at the 1–10 km scale, due to the merits of high sensitivity, wide spectral coverage, high spectral resolution and fast time response. However, current DCS systems are complex and expensive because of the requirement for two fully stabilized OFCs with slightly different comb spacing. Note that DCS is an emerging new technology and also an extremely active area of research, consequently, many new developments are emerging to improve DCS performance, simplify its composition, and reduce its size [
173,
175,
188,
189,
190,
191,
192,
193,
194]. As a result, we fully believe that DCS will become more and more mature and may surpass traditional broadband spectroscopy for a wide range of applications.
7. Laser Heterodyne Radiometry (LHR)
Laser heterodyne radiometry (LHR) is a remote laser spectroscopic technique which offers the potential to develop a compact ground or satellite-based radiometer for Earth observation and astronomy. LHR systems have numerous advantages, including high sensitivity, ultra-narrow optical resolution, very confined field-of-view (FOV), as well as a great potential for ruggedization and miniaturization [
195] owing to low component count, reduced cost and high reliability.
Unlike other methods introduced in this review, LHR is a passive measurement approach and has remained substantially unchanged, since the very first demonstrations carried out by Menzies and Shumate [
196] in the early 1970s. The system configuration of a typical traditional LHR is shown in
Figure 10a. A sun tracker is used to actively track the apparent location of the sun and capture the solar radiation with a narrow FOV. After transferring through an optical filter, the remaining radiation is modulated by a chopper and then directed to a beam splitter (BS). The transmission is superimposed with the local oscillator (LO) beam from a linear tuning laser, and then the combined beam is detected on a high-speed photo mixer (PM) to obtain heterodyne signal. A part of the laser beam passing through the BS is guided a F–P etalon for frequency calibration. The solar radiation transmitted through the Earth’s atmosphere contains information about absorbing constituents. The heterodyne process downconverts the spectral information from the infrared to the RF domain. The AC output of the PM offers the spectral information, while the DC output provides an approach to monitor the LO power. The RF signal is amplified and then detected by a zero-bias Schottky diode. Its output is demodulated by a lock-in amplifier at the chopper frequency to obtain the absorption spectra of the target gas/gases. The acquired high resolution spectral data can be retrieved by an algorithm, named optimal estimation method (OEM), for vertical profiling of atmospheric constituents [
197].
LHR’s capabilities have been proven to depend in part on the performance of the laser source providing the LO [
198]. With the help of the development of semiconductor lasers, QCLs especially EC-QCLs have become the ideal MIR LO light source of LHR, due to their high optical power, narrow linewidth, and broad tuning range. QCL based LHR has been widely used for atmospheric sounding [
198,
199,
200,
201,
202]. A 3.53 µm ICL, moreover, has been employed as the LO source to retrieve the concentration of H
2O and CH
4 column recently [
89,
203]. However, NIR DFB-LD based LHR still has great research value and significance, because it provides a low-cost, miniaturized and robust strategy [
204,
205,
206,
207,
208].
In contrast to aforementioned developments concentrated on the utilization of higher-performing components, wavelength modulation laser heterodyne radiometry (WM-LHR) [
209], has been recently put forward as a new LHR spectral interrogation procedure to enhance the LHR performance. As shown in
Figure 10b, WM-LHR is based on the use of a wavelength-modulated LO laser, in which the detection principle is similar to the widely used WMS technique, as described in
Section 4. Both NIR LD-based [
209] and MIR QCL-based WM-LHR [
195] were recently demonstrated a very promising improvement in performance and consistency. In comparison to the traditional LHR method, WM-LHR provides a superior SNR and reduces the requirements on the quality of the components [
195].
In short, LHR has become a powerful optical sounding tool for atmospheric measurements [
200,
203,
204,
205,
206,
207,
208] and planetary observations [
210,
211] nowadays. The up to date results of LHR detection are summarized, as shown in
Table 6. However, passive LHS derives its sensitivity from thermal contrast when used in transmission mode, which limits its ability to provide ppb level detection in any realistic standoff detection configuration [
7]. Because of its passive nature, LHR is not sensitive enough for terrestrial remote detection of trace chemical plumes over distances of tens to hundreds of meters. Besides, its application is currently limited to atmospheric sounding.
8. Active Coherent Laser Absorption Spectrometry (ACLaS)
Inspired by LHR, Neil A. Macleod and Damien Weidmann of Rutherford Appleton Laboratory proposed an Active Coherent Laser Spectrometer (ACLaS) for remote detection and identification of chemicals in 2012 [
19]. Rather than passive capture of solar radiation in LHR, ACLaS provides active eye-safe illumination of a topographic target and subsequent spectroscopic analysis through optical heterodyne detection of the diffuse backscattered field.
The simplified optical structure of the ACLaS has been exhibited in their publications [
19,
212], which is redrawn here, as shown
Figure 11. A MIR QCL is preferred to use as the optical source for high sensitivity. The collimated QCL radiation is directed to an R90/T10 beam splitter (BS1). The transmitted part of the optical power is used as the LO for heterodyne, while the reflected portion of the beam passes through a germanium acousto-optic frequency shifter. The unshifted zeroth-order output light is transferred through an etalon for relative frequency calibration of the laser. In comparison, the first-order diffracted beam is used as a signal light for transmission toward a distant topographic target. A small fraction of the signal light backscattered by the target is collected by the ACLaS receiver mirror, and adjusted to be superimposed with the LO field on a high bandwidth photodetector. A beat frequency signal caused by the interference is obtained, which contains the information of the tested chemicals, and the signal is then detected in the manner similar to the LHR system shown in
Figure 10a.
According to the working principle of the ACLaS, a forward model has been established to describe the relationship between the directly measured spectral signal and the unknown state vector of molecular mixing ratios, with consideration of instrument parameters [
213]. The OEM algorithm originally used in LHR was adapted to retrieve mixing ratios using the synthetized spectral trace calculated by the forward model as input [
7,
213]. A “cost” function is defined in OEM consisting of weighted differences between the measured data and the simulated data by the forward model, and between the current state vector and the a-priori vector. The solution minimizing the cost function is output as the optimal solution. In addition, the OEM also enables full error propagation analysis to estimate the level of confidence and further detection sensitivities [
7].
A 7.85 µm DFB QCL was employed at first to demonstrate the ACLaS method experimentally [
19]. Standoff detection of numerous chemical species, including hydrogen peroxide, nitrous oxide, methane, water and acetylene, was carried out with topographic targets at distances of up to 30 m. Normalized detection sensitivities range between 14 and 0.3 ppm·m·Hz
−1/2 were achieved. Afterwards, an EC-QCL with large tuning range was used for detection of vapor phase molecules with broadband features, such as dichloroethane (DCE), ethylene glycol dinitrate (EGDN), and tetrafluoroethane (HFC-134a) [
213]. Not limited to gas and vapor detection, ACLaS has also been demonstrated the capability of detection of condensed phase compounds, e.g., 4-nitroacetanilide (4NA), deposited onto surfaces [
213]. The measured and extrapolated limits of detection for a range of gases and explosive related molecules have been summarized in References [
213] and [
7], as shown here in
Table 7. Note that the extrapolated values according to the cross-section of the species and the chemical vapor pressure are marked as “calculated” in the second column of the table.
ACLaS is a very promising technique benefiting from its high detection sensitivity, high spectral resolution induced good selectivity, and efficient background noise rejection. This technique has shown a high level of performance in remote chemical detection of multifarious species, including atmospheric constituents, explosives, as well as industrial gases. However, the detecting capability of current ACLaS is far away from the absolute ideal shot noise limit allowed by heterodyne detection, due to the limitation of the speckle noise and excess noise. The standoff detection distance and the miniaturization design of the instrument also have much room for improvement. Furthermore, the OEM algorithm needs to be improved for accurate inversion of liquids or solids deposited onto the surfaces.
9. Benchmarking, Challenges and Opportunities
9.1. Benchmarking
Overall performance comparison of the presented LAS-based standoff detection techniques is further summarized, as shown in
Table 8, according to the comprehensive requirements proposed for standoff chemical detection by N. A. Macleod and D. Weidmann [
7] as aforementioned in
Section 1. In order to quantify the comparison of detection sensitivity, we reviewed the typical results reported recently for CH
4, which has been measured as a target gas by all these techniques. These values of detection sensitivity may be obtained at different absorption bands, so they are transformed to equivalent values measured at 1.654 µm according to the absorption cross-section. The original absorption bands used for CH
4 measurements are marked in the note below the table. Furthermore, the equivalent detection sensitivities are all normalized to a 1 m optical path and 1 s integration time in unit of ppm·m·Hz
−1/2. It is noteworthy that the sensitivity will decrease with increasing of standoff distance, due to the reduction of SNR. Here the sensitivity values are given at the typical detection distance of each technique, which is also described in the note below the table. The analysis of currently available methods of remote monitoring shows that the general requirements for operation under actual conditions, such as real-time monitoring, high sensitivity (at the maximum concentration limit level), ease of control, low level of false alarms, etc., can be satisfied to the utmost by the LAS-based methods because of the absorption of light in the IR, visible, and UV ranges by the molecules of interest.
Although the standoff detection techniques herein we reviewed are all based on the principle of absorption spectroscopy, their performances and application fields are different, due to the use of different laser sources, detectors, and detection methods. The detection sensitivity is intently related to the magnitude of absorption cross-section of the measured substance, which is a function of wavelength. In addition, the power of the laser and the detection capability of the receiver determines the distance of remote detection.
For DIAL, solid-state lasers with pulsed high-power emission are mainly used to realize remote sensing. DIAL is good at measuring vertical profile (by using RR-DIAL) or column concentration (by using IPDA) of the atmospheric constituents. DIAL has mostly been applied to the detection of GHGs with small molecules, such as H
2O, CO
2, CH
4, etc., as well as aerosols and wind velocity. The detection range can reach tens of kilometers or even more. Hence, it can be widely used for ground-based, vehicle-based, airborne or even spaceborne measurements. Moreover, DIAL appear to be the most promising approach for landfill fugitive methane measurement [
43].
TDLAS employs a TDL as a light source, which is a key factor affecting system performance. Generally, the tuning range of an NIR TDL is small (~1 nm), which can cover one complete absorption line or at most two separate lines of small molecules. With the maturity of mid-infrared (EC) QCL and ICL, the performance of TDLAS has been greatly improved. Not only can the wavelength tuning range be expanded for large molecules (e.g., VOCs) detection, but also the detection sensitivity can be improved by at least an order of magnitude compared to NIR detection. TDLAS is particularly suitable for low-power miniaturized handheld or portable standoff gas-sensitive detection with non-cooperators applications, with standoff distance ranging from meters to tens of meters. Not only that, small size and lightweight TDLAS sensors can also be mounted on mobile robots or UAVs for intelligent leak inspection and localization.
LPAS also uses a TDL as the light source, but it measures the photoacoustic signal transformed by the modulated laser light after absorbed by the object to be measured. Compared with TDLAS, standoff LPAS is more preferred to measure certain solid powder or liquid substance, such as some explosives, beyond a certain distance. Standoff distance has been demonstrated to be from meters to tens of meters as well.
DCS employs two broadband frequency combs with slightly different repetition rates as laser sources to down convert absorption features with a fast detector from optical frequencies to the RF regime. Its prominent advantages of broadband spectra (hundreds·cm−1) and high spectral resolution (typically a few kHz to MHz) make DCS more suitable for the detection of multi-species or large molecules with broadband features. On the other hand, DCS system is naturally complex and high cost, and it usually requires cooperation with a reflector for standoff detection applications.
LHR is a passive measurement, which measures the absorption of solar radiation in the field of view by the target gas along the transmission path. From a strict perspective, it cannot be counted as LAS. However, LHR uses a TDL as a LO source for heterodyne detection of gas absorption. The detection depends on the tuning range of the TDL and absorption lines of atmospheric molecules are measured similarly to LAS. Information on the concentration of atmospheric constituents is obtained from the depth and shape of the absorption lines. Therefore, LHR is a powerful optical sounding tool suitable for measuring the vertical profiles of gas molecules in the atmosphere.
ACLaS can be regarded as the combined product of TDLAS and LHR, with alterations of passive measurement of LHR to active measurement, and of the direct detection in TDLAS to heterodyne detection. The SNR of heterodyne detection systems is usually 3–4 orders of magnitude higher than that of direct detection systems [
214], which means ACLaS is able to detect weak echo signals with picowatt level. Therefore, a much longer standoff distance than TDLAS can be achieved under the same conditions theoretically. With ECQCL as the light source, ACLaS has been used not only for standoff detection of small molecule gases, but also for large molecules with broadband features. Not limited to gas and vapor detection, ACLaS has also been demonstrated the capability of detection of condensed phase compounds deposited onto surfaces.
Note that heterodyne or coherent technology is very important for performance improvement of remote measurement, which has been more and more used in combination with LAS-based standoff techniques, including DIAL, laser interferometer-based PAS, LHR and ACLaS. However, the detecting capability of these current techniques needs to be further improved by means of overcoming the limitation of the speckle noise and excess noise.
9.2. Challenges
Although LAS-based methods have realized successful measurements of chemical species in trace amounts, some challenges of chemical standoff detection with these techniques address various issues still to be solved.
An imminent challenge at present is the specification and classification of data on the absorption spectra of medium-to-high molecular weight species with broadband absorption feature, such as CWA and TIC vapors. The complexity of obtaining these spectra depends not only upon the high toxicity of these substances, but also on the fact that many CWAs and TICs contain process-related impurity vapors, which have spectral lines interfering with absorption lines of the CWA and TIC vapors under investigation [
3]. In order to precisely determine the spectral absorption factor values, it is still necessary to study the absorption spectra of CWA and TIC vapors in detail in the MIR range, even though some molecular absorption data are included in PNNL database. A specialized database on CWA and TIC vapor-absorption spectra is expected to be created for the open atmosphere detection applications at various temperatures, humidity levels, etc., in the NIR and MIR ranges.
LAS gas measurements are constantly affected by the pressure and temperature of the atmospheric environment [
52,
215,
216], especially for large scale open-path measurement. Traditional methods, usually by means of installing pressure and temperature sensors on the instrument to correct the measurement results, are no longer applicable because of the non-uniform distribution of pressure and temperature along the path. On the other hand, for some remote applications, such as underground fire detection [
217], it is necessary to measure the temperature at the same time together with the concentration of the target gases in order to determine the combustion location [
218,
219]. Currently, computer tomography (CT)-TDLAS has been developed and widely used to simultaneously measure 2D temperature and concentration [
220,
221,
222,
223,
224,
225,
226]. However, measurement of gas pressure distribution still needs to be developed for remote sensing applications. Moreover, it is still to be studied to use true standoff CT-TDLAS for large scale 2D or even 3D multi-parameters (
x,
T,
P) measurement in the atmospheric environment, which may provide a solution for underground fire detection.
According to
Table 8, conventional LAS-based standoff methods can achieve multiple species detection on the strength of broadband tunable laser sources, e.g., EC-QCL, but they have been limited in either spectral scan speed or spectral resolution [
121]. DCS for standoff detections of gas-phase chemicals has shown promising results in sensitivity and multi-species, but its time resolution also has been limited in tens of seconds even one minute. It is not appropriate for the detection of short-lived, transient events. Hence, LAS systems need to be improved in the future with rapid tuning rates over large wavelength ranges, high spectral resolution and excellent scan stability and reproducibility.
The standoff range with non-cooperative targets is still a challenge, especially when combined with the requirement of eye safety. Flexibility is usually needed for a fully versatile instrument used for remote chemical detection, which should be able to work at short (<1 m) and far standoff distances (>1000 m) [
7]. Furthermore, the instrument should meet eye-safety standards for a class 1 laser and must not pose a risk of harm to the public when deployed in public open areas. Although TDLAS, LPAS and ACLaS can satisfy the latter, their detection distances have been tested in real environments to be a few meters to tens of meters. ACLaS is the most promising technology to achieve the above requirements, thanks to its coherent detection rather than a direct measurement. However, ACLaS currently is limited by speckle noise result from diffuse reflection on a rough surface of a non-cooperative hard target, which makes its sensitivity and detection range greatly restricted. Various speckle suppression techniques have been summarized in Reference [
227], which include averaging over polarization, spectral channels, spatial dimensions, and/or collection angles, as well as reducing the coherence of the input laser. These speckle suppression methods may need undesirable trade-offs with other sensor parameters, such as spectral resolution, the laser fluence on the target, spatial resolution, increased thermal background collection, total collection time, and/or instrument complexity [
227].
When broadband emission sources (e.g., ECQCLs and OFCs) illuminate on targets featuring particle sizes or surface roughness on the order of microns, it may produce significant spectral variability even from chemically identical materials [
227]. Because the laser light can scatter from multiple surfaces, resulting in a complex combination of reflection, absorption, and transmission events that cause the spectral characteristics to become highly dependent upon the microscopic morphology of the target material. Consequently, the main challenge is to develop an advanced and robust algorithm that can not only discriminate between multiple absorbing molecules, but also account for spectral variability resulting from the rough surface by means of their different spectroscopic features.
Additionally, a miniaturized chemical sensor platform with low power consumption and small system package has been extremely desirable to fulfill the handheld or UAV borne applications. Of course, this depends on the advancement of high-performance lasers with high wall plug efficiency broad tunability, and decreased system sizes.
Finally, the effect of fluctuations in laser light intensity over long distances under different weather conditions and turbulence-induced scintillation on LAS-based standoff measurements is needed to be further evaluated.
9.3. Opportunities
The laser source is the key component of a LAS system. The fundamental rovibrational bands of a vast majority of chemical substances of interest in standoff detection are located in the MIR spectral region (2.5–25 µm) [
8]. MIR laser sources technology has undergone tremendous development in recent years [
228,
229,
230,
231], with the development of optoelectronic technology and quantum technology. Especially the continuous development of high-performance, monolithic, broadly tunable semiconductor lasers, such as QCLs [
232,
233], EC-QCL [
234,
235], QCL arrays [
236,
237,
238,
239], ICLs [
240], and MIR vertical-cavity surface-emitting lasers [
241], lays the foundation for miniaturized LAS system, due to their potential for extreme compactness, high robustness, high output power, narrow linewidth, high lifetime, and low cost.
LAS, based on MIR QCLs, has been demonstrated to be a powerful diagnostic tool for molecular plasmas, which offers some advantages of high sensitivity, good temporal resolution and multi-component detection [
242]. However, the current measurements are mostly limited to the traditional DAS based on the multi-pass cell. In our opinion, single-ended LAS sensors can open up new possibilities in flexible and in situ measurements for standoff plasma diagnostic applications. Ease of installation and need for fewer windows will make SE-LAS more promising both in the laboratory and in industry. SE-LAS can provide double pass naturally, which can be conveniently used for kinetic studies in discharge tubes [
243,
244].
Many existing methods can be used to solve some problems in LAS-based remote sensing. With 1f normalization, the calibration-free WMS-2f/1f method can account for variations in laser intensity such as non-absorption losses, due to light scattering or beam steering [
245]. As reviewed in Reference [
30], there are other similar methods for calibration-free measurement, including the recovery of the absorption profile based on high order harmonic signals and DAS calibrated WMS, which can be employed to eliminate the effects of light intensity variation. Spectral analysis methods can be used for the simultaneous inversion of temperature and pressure to correct concentration measurements without additional sensors [
132,
246]. In addition, a spectral data processing method based on co-frequency and dual-wave has been proposed to reduce the error influence factors and the error transfer coefficient resulting from atmospheric turbulence [
247,
248].
The combination of LAS and other technologies offers possibilities for more sophisticated and advanced remote chemical sensing applications. A new heterodyne interferometric method for optical signal detection in photoacoustic or photothermal spectroscopy has been demonstrated and characterized recently, which enables high sensitivity and three-dimensional spatial gas distribution measurement [
249]. Moreover, LAS has been combined with hyperspectral imaging, named infrared backscatter imaging spectroscopy [
250,
251], for the detection of trace amount of hazardous materials. Like CT-TDLAS, other standoff LAS-based detection techniques can also be combined with CT technology to measure 2D or even 3D information for threat localization [
252]. In contrast to absorption-based techniques, dispersion spectroscopy technology has also been developed in recent years, including CLaDS [
100] as discussed in
Section 4.1 and heterodyne phase-sensitive dispersion spectroscopy (HPSDS) [
253], which can provide high sensitivity and large dynamic range. CLaDS has been demonstrated to be particularly suitable for remote detection, benefiting from very high immunity of the signal amplitude to power variations (e.g., due to air turbulences, environmental condition, or when detection relies on scattered radiation), baseline free nature and high dynamic range [
103]. Furthermore, broadband phase spectroscopy has been proposed with a phase-sensitive DCS by executing adaptive compensation for the strong decoherence from atmospheric turbulence, which enables measurement of the full complex susceptibility even in practical open-path sensing rather than only intensity absorption [
254].
10. Conclusions and Future Outlook
In the past few decades, numerous LAS methods have been developed and widely used. LAS-based standoff detection technology has been a powerful tool for remote chemical analysis with applications spanning from environmental monitoring, through industrial emission monitoring and process control, to leak detection for health and safety, as well as defense and security. A wide range of chemical species has become the targets for remote detection, including atmospheric compositions, hazardous or toxic industrial chemicals, explosives related substances, chemical warfare agents, etc., which cover gaseous, liquid, solid and even condensed phase. Of particular note is that some newly developed technologies in the past decade, i.e., LPAS, DCS and ACLaS, have great potential in remote sensing applications, although their performance has mainly been verified in the laboratory. Their advantages in explosive standoff detection, multi-species broadband absorption detection and highly sensitive measurement with non-cooperative targets, respectively, have been recognized and many laboratory demonstrations have been reported. While the traditional LAS-based techniques, i.e., DIAL, TDLAS and LHR, have been widely used in practice early, but they are still developing in terms of improving performance.
Although LAS techniques have become commonly used tools for laser spectroscopists nowadays, there is still much room for improvement, especially for remote applications. Field test and practical inspection are necessary for instrumental development of the newly developed technologies, such as LPAS, DCS, and ACLaS. Their specific implementation (or application) in the research of related engineering fields will promote the maturity of these technologies. Moreover, miniaturized and low-power LAS sensors with non-cooperative targets are worthy of focused research, because they are particularly suitable for being mounted on mobile robots or UAVs for increasing intelligent and automated applications in hazardous area inspections and other fields. This research may open up a new direction of machine olfactory. In addition, future efforts still need to be made to fill gaps between the current performance of existing instruments and stringent requirements aforementioned in
Section 1, and overcome formidable challenges in practical applications. In our view, taking advantage of up-to-date laser technologies and spectral analysis methods, in combination with available and prospective measures of enhancing detection sensitivity, would enable one to perform an effective remote detection of chemicals of interest with a LAS-based standoff system.