This disclosure relates to integrated sensor modules for the detection of chemical substances.
Various techniques have been proposed for testing chemical substances in laboratory and point-of-care settings. Such tests can be used, for example, for forensic testing of samples to detect the presence of illicit substances (e.g., drugs). The tests can be used, for example, to assist police of other governmental enforcement agencies, as well as by hospitals, harm reduction agencies and patient clinics that care for patients or persons in drug rehabilitation facilities.
The following are examples of techniques that can be used to test for chemical substances: mass spectrometry; infrared spectrometry, Raman spectrometry, x-ray spectrometry, thin-layer chromatography, ultraviolet spectroscopy, spot/color tests, microcrystalline tests, immunoassays and urine dipstick tests. The techniques differ in their ability to discriminate among different substances, in the range of substances that can be detected and discriminated, in their ability to determine the quantity of the particular substance detected, in the relative costs of the tests, and in the ease of using the tests.
In general, it is desirable to provide a low cost integrated sensor that can detect and discriminate among a wide range of chemical substances. Preferably, the sensor should provide increased accuracy and be relatively simple to use.
This disclosure describes integrated sensor modules for the detection of chemical substances.
For example, in one aspect, the disclosure describes an apparatus comprising an integrated sensor module for detection of chemical substances. The sensor module includes a UV radiation source operable to emit UV radiation onto a sample, and a sensor including dedicated channels disposed so as receive UV radiation reflected by the sample. Each of the channels is selectively sensitive to a different respective portion of the UV spectrum such that, collectively, the channels cover at least part of the UV spectrum sufficient for reconstruction of a spectral curve of the sample.
The disclosure also describes a method that includes emitting UV radiation toward a sample, and sensing, in at least some of a plurality of dedicated channels, UV radiation reflected by the sample. Each of the channels is selectively sensitive to a different respective portion of the UV spectrum such that, collectively, the channels cover at least part of the UV spectrum sufficient for reconstruction of a spectral curve of the sample. The method includes receiving, in an electronic control unit, output signals from the plurality of channels, and identifying a composition of the sample based on the output signals.
Some implementations include one or more of the following features. For example, in some instances, collectively, the channels cover a continuous part of the UV spectrum. In some cases, the channels are equally distributed over the continuous part of the UV spectrum. The continuous part of the UV spectrum can be, for example, 10 nm-400 nm, 200 nm-400 nm, or some other part of the UV spectrum. In some cases, each of the channels has the same full width half maximum spectral sensitivity (e.g., no more than 10 nm, or no more than 5 nm). In some implementations, each of the channels includes a respective sensing device and a respective UV filter disposed over a UV radiation sensitive portion of the respective sensing device.
The apparatus can include an electronic control unit operable to determine, based at least in part on respective signals from the channels, whether an overall responsivity of the channels aligns with a spectral signature of a particular chemical substance. The electronic control unit can be operable to compare the overall responsivity of the channels to predetermined values stored in memory. In some instances, the electronic control unit is operable to identify a composition of the sample based at least in part on the comparison.
Other aspects, features and advantages will be readily apparent from the following detailed description, the accompanying drawings, and the claims.
The present disclosure describes an integrated sensor module operable to detect and discriminate among different chemical substances, such as particulate matter (e.g., molecules of illegal drugs) present in a sample. The sensor module is operable, in some instances, for real-time measurements in which a radiation source emits ultraviolet (UV) radiation toward the sample, and UV radiation reflected by the sample is detected and integrated in an array of spectrally sensitive UV channels.
As illustrated in the example of
The array of radiation sensitive channels can include multiple dedicated UV channels each of which is selectively sensitive to a respective narrow window of wavelengths within the UV part of the spectrum such that, collectively, the channels cover the entire UV spectrum (i.e., 10 nm-400 nm) or a particular part of the UV spectrum (e.g., 200 nm-400 nm). Each channel can be sensitive selectively to a respective narrow portion of the UV spectrum centered about a particular wavelength. Preferably, the channels are equally distributed over the entire UV spectrum (i.e., 10 nm-400 nm) or the particular part of the UV spectrum, where the windows for the channels have a substantially uniform width. For example, each channel can have about the same full width half maximum (FWHM) in the range of 1-10 nm (e.g., 5 nm).
Although each channel is selectively sensitive to a respective narrow window within the UV range, the channels collectively can cover an entire continuous portion of the UV spectrum, for example, 200 nm-400 nm, which includes the middle UV (200 nm-300 nm) and near UV (300 nm-400 nm) regions of the spectrum. In some cases, for example, the sensor includes forty channels, each of which is selectively sensitive to a respective range of about 5 nm (FWHM). Preferably, the portion of the UV spectrum within the FWHM of each channel does not overlap (or overlaps only slightly) with the portion of the UV spectrum covered by the other dedicated UV channels. Thus, for example, a first channel may be selectively sensitive to wavelengths in the range of 200-205 nm, a second channel may be selectively sensitive to wavelengths in the range of 205-210 nm, a third channel may be selectively sensitive to wavelengths in the range of 210-215 nm, etc. In this example, the fortieth channel would be selectively sensitive to wavelengths in the range of 395-400 nm. Thus, each respective channel is selectively sensitive to a different narrow range centered about a respective wavelength, where the channels have about the same FWHM as one another and such that, collectively, the channels cover a continuous portion of the UV range. In some implementations, the number of channels, the overall range of the UV spectrum covered collectively by the channels, and/or the FWHM for each channel may differ from the foregoing examples.
Each channel 20 can incorporate a respective UV sensitive photodiode. In the example illustrated in
Each channel also includes an optical filter such as a bandpass filter or UV interference filter having transmission characteristics defined for the particular channel. Thus, for example, a filter for the first channel may selectively pass wavelengths in the range of 200-205 nm, a filter for the second channel may selectively pass wavelengths in the range of 205-210 nm, a filter for the third channel may selectively pass wavelengths in the range of 210-215 nm, etc. In some instances, the photodiode 30 in each particular drug detection channel 20 integrates the sensed UV radiation over time for the various wavelengths within the band as defined by the filter 32 for that channel.
A radiation shield 22 can be disposed between the radiation source 12 and the sensor 18 so as to prevent radiation emitted by the source 12 from directly impinging on the channels 20 of the sensor 18. Preferably, the shield 12 is composed of a material that is non-reflective and non-transmissive for UV radiation. The module 10 can be contained in a dark, non-reflective chamber 28 that isolates the sensor 18 from external parasitic radiation.
As further shown in
Various chemical substances (e.g., drugs) inherently have unique spectral responses to the UV light source 12. The output signals from the channels 20 can be used by the sensor module 10 to discern the type of drug or other chemical substance present in the sample 14.
As further illustrated in the example of
Signals generated by the UV clear channel 24 and the UV block channel 26 can serve, for example, as reference signals. For example, a signal from the UV block channel 26 can be processed and used by the signal processing circuitry 36 to normalize the signals obtained from the UV channels 20. Likewise, a signal from the UV clear channel 24 can be processed and used by the signal processing circuitry 36 to improve signal/noise ratio. Signals from the UV clear and UV block channels 24, 26 also can be used to improve the overall signal acquisition process by detecting and accounting for background radiation.
In some implementations, the module 10 includes an on-die temperature sensor coupled to a temperature controller 38 to provide temperature-dependent leakage current compensation of the UV photodiode 30 in each channel 20. Incorporating the temperature controller 38 can aid in temperature-drift offset correction from the front-end ADC 34 resulting from photodiode leakage and general transistor leakage from the analog front-end. The temperature controller 38 also can be incorporated as part of the signal processing circuitry 36.
The signal processing circuitry 36 can be implemented, for example, as an electronic control unit (ECU). In some cases, the processing circuitry 36 may include software and/or firmware. An output of the signal processing circuitry 36 can be coupled, for example, to a monitor or other display unit to indicate whether there is a match between the chemical substance of the sample 14 and the spectral signature associated with any one of the channels 20 and, if so, to identify the chemical substance detected, as well as the quantity detected.
In some implementations, a photodiode structure 30 suitable for use in the channels 20 of the sensor 18 includes a superposition of two wells, in particular two ion-implanted wells, with opposite types of electrical conductivity within a semiconductor substrate. The semiconductor substrate has a first type of electrical conductivity, whereas a first well has a second type, and a second well has the first type. By adjusting doping concentrations or profiles of the wells, a photon capturing layer having the second type of electrical conductivity is formed at a main surface of the semiconductor substrate. A p-n junction formed between the photon capturing layer and the second well is usable for detecting incident UV radiation. The photodiode structure 30 can be implemented, for example, in a semiconductor wafer or a semiconductor die and/or can be part of an integrated circuit.
As shown in the example of
Within a surface region at a main surface MS of the semiconductor substrate S, a doping concentration, in particular a carrier concentration, of the first well W1 is greater than a doping concentration, in particular a carrier concentration, of the second well W2. Therefore, a photon capturing layer PC having the second type of electrical conductivity is formed at the main surface MS, in particular in the surface region. Thus, a detection p-n junction PND is formed by a boundary between the second well W2 and the photon capturing layer PC. In this example, a part of the second well W2 not corresponding to the photon capturing layer PC is denoted as the second well W2, and a part of the first well W1 corresponding neither to the second well W2 nor to the photon capturing layer PC is denoted as the first well W1.
In the example of
A photodiode structure 30 of the sensor device of
In some implementations, other structures can be used for the UV radiation sensing device in each channel of the sensor 18.
As noted above, the channels 20 can be operable collectively to detect radiation over the entirety of the UV range or at least over a continuous portion of the UV range (e.g., 200 nm-400 nm). Thus, by storing in memory 25 the spectral signatures for many different chemical substances, the sample 14 can be tested with respect to a relatively wide range of chemical substances.
Although in many instances it will be advantageous for the channels 20 to be operable collectively to detect radiation over the entirety of the UV range or at least over a continuous portion of the UV range, in some implementations it is not necessary to the coverage of the channels to be continuous. Rather, more generally, there should be enough channels with sufficient bandwidth in the UV range to reconstruct the spectral curve of the sample 14. An example is illustrated in
Various aspects of the subject matter and the functional operations described in this specification can be implemented in digital electronic circuitry, or in computer software, firmware, or hardware, including the structures disclosed in this specification and their structural equivalents, or in combinations of one or more of them. Embodiments of the subject matter described in this specification can be implemented as one or more computer program products, i.e., one or more modules of computer program instructions encoded on a computer readable medium for execution by, or to control the operation of, data processing apparatus. The computer readable medium can be a machine-readable storage device, a machine-readable storage substrate, a memory device, a composition of matter effecting a machine-readable propagated signal, or a combination of one or more of them. The terms “data processing apparatus” and “computer” encompasses all apparatus, devices, and machines for processing data, including by way of example a programmable processor, a computer, or multiple processors or computers. The apparatus can include, in addition to hardware, code that creates an execution environment for the computer program in question, e.g., code that constitutes processor firmware, a protocol stack, a database management system, an operating system, or a combination of one or more of them.
A computer program (also known as a program, software, software application, script, or code) can be written in any form of programming language, including compiled or interpreted languages, and it can be deployed in any form, including as a stand alone program or as a module, component, subroutine, or other unit suitable for use in a computing environment. A computer program does not necessarily correspond to a file in a file system. A program can be stored in a portion of a file that holds other programs or data (e.g., one or more scripts stored in a markup language document), in a single file dedicated to the program in question, or in multiple coordinated files (e.g., files that store one or more modules, sub programs, or portions of code). A computer program can be deployed to be executed on one computer or on multiple computers that are located at one site or distributed across multiple sites and interconnected by a communication network.
The processes and logic flows described in this specification can be performed by one or more programmable processors executing one or more computer programs to perform functions by operating on input data and generating output. The processes and logic flows can also be performed by, and apparatus can also be implemented as, special purpose logic circuitry, e.g., an FPGA (field programmable gate array) or an ASIC (application specific integrated circuit).
Processors suitable for the execution of a computer program include, by way of example, both general and special purpose microprocessors, and any one or more processors of any kind of digital computer. Generally, a processor will receive instructions and data from a read only memory or a random access memory or both. The essential elements of a computer are a processor for performing instructions and one or more memory devices for storing instructions and data. Generally, a computer will also include, or be operatively coupled to receive data from or transfer data to, or both, one or more mass storage devices for storing data, e.g., magnetic, magneto optical disks, or optical disks. However, a computer need not have such devices. Moreover, a computer can be embedded in another device, e.g., a mobile telephone, a personal digital assistant (PDA), a mobile audio player, a Global Positioning System (GPS) receiver, to name just a few. Computer readable media suitable for storing computer program instructions and data include all forms of non volatile memory, media and memory devices, including by way of example semiconductor memory devices, e.g., EPROM, EEPROM, and flash memory devices; magnetic disks, e.g., internal hard disks or removable disks; magneto optical disks; and CD ROM and DVD-ROM disks. The processor and the memory can be supplemented by, or incorporated in, special purpose logic circuitry.
Various modifications can be made within the spirit of the present disclosure. Thus, other implementations are within the scope of the claims.
Filing Document | Filing Date | Country | Kind |
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PCT/EP2020/072526 | 8/11/2020 | WO |
Number | Date | Country | |
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62885475 | Aug 2019 | US |