Study of CMOS Sensing System for Radon and Alpha Radiation
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Article Study of CMOS Sensing System for Radon and Alpha Radiation Roy Shor * and Yael Nemirovsky * Department of Electrical Engineering, Technion-Israel Institute of Technology, Haifa 3200003, Israel * Correspondence: roy.shor@campus.technion.ac.il (R.S.); nemirov@ee.technion.ac.il (Y.N.) Simple Summary: Radon gas represents one of the main sources of exposure to radioactivity in humans. It’s the second most important cause of lung cancer and the main cause of lung cancer in non-smokers. Commercial radon detectors suffer from low resolution and lack of on-line monitoring capability, while continuous radon detectors are expensive. This study presents a new semiconductor sensing system for radon and alpha radiation in general, which is fabricated in a standard 180 nm CMOS process with a single polysilicon layer. Abstract: This study focuses on a CMOS sensing system for Radon and alpha radiation, which is based on a semiconductor device that is integrated monolithically on a single chip with the Readout Circuitry, thus allowing fabrication of a low-power and low-cost sensing system. The new sensor is based on a new mosaic design of an array of Floating Gate non-volatile memory-like transistors, which are implemented in a standard CMOS technology, with a single polysilicon layer. The transistors are electrically combined in parallel and are operated at subthreshold, thus achieving very high sensitivity and reduced noise. The sensing system’s architecture and design is presented, along with key operation concepts, characterization, and analysis results. Alpha and radon exposure results are compared to commercial radon detectors. The new sensor, dubbed TODOS-Radon sensor, measures continuously, is battery operated and insensitive to humidity. Citation: Shor, R.; Nemirovsky, Y. Study of CMOS Sensing System for Keywords: radon; alpha radiation; CMOS sensor; silicon radiation detector; ionizing radiation Radon and Alpha Radiation. sensor; floating gate transistor Radiation 2021, 1, 250–260. https:// doi.org/10.3390/radiation1030021 Academic Editor: Alexandros 1. Introduction G. Georgakilas Radon gas (Rn-222) is a noble, odorless, invisible, and chemically inert radioactive gas that emerges naturally from soils and rocks. It represents one of the main sources of Received: 5 August 2021 exposure to radioactivity in humans, as it emits alpha particles that may damage lung Accepted: 15 September 2021 Published: 17 September 2021 tissues after inhalation [1]. It is by now well-established that radon gas is the second most important cause of lung cancer and the most important cause of lung cancer in non-smokers, Publisher’s Note: MDPI stays neutral while every 1 in 15 homes in the US suffers from high level of radon concentration [2,3]. with regard to jurisdictional claims in The commercial solid state semiconductor radon sensors are reviewed in [4,5] and published maps and institutional affil- are implemented in PIN diodes. Low dark current PIN diodes are expensive since large iations. area photodiodes often have defects leading to large dark currents; thus, the sensors are expensive. The goals of this study were to specify the requirements for Radon gas sensors for smart homes and report how to meet these requirements. It is obvious that for consumer applications, the sensor must be low-cost, small, require low power, and exhibit high Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. sensitivity and reliability. It is obvious to the authors that a standard CMOS technology is This article is an open access article mandatory, and a transistor will exhibit higher sensitivity than a PIN diode. distributed under the terms and The innovation of the new sensor, dubbed TODOS-Radon Sensor is outlined in the conditions of the Creative Commons sections below: Section 2.3 presents the new sensor and system architecture and innova- Attribution (CC BY) license (https:// tions. Device characterization is reported in Section 3.1. Section 3.2 presents experimental creativecommons.org/licenses/by/ results of Radon gas exposure. Section 4 concludes this study. 4.0/). Radiation 2021, 1, 250–260. https://doi.org/10.3390/radiation1030021 https://www.mdpi.com/journal/radiation
Radiation 2021, 1, FOR PEER REVIEW 2 The innovation of the new sensor, dubbed TODOS-Radon Sensor is outlined in the Radiation 2021, 1 sections below: Section 2.3 presents the new sensor and system architecture and innova- 251 tions. Device characterization is reported in Section 3.1. Section 3.2 presents experimental results of Radon gas exposure. Section 4 concludes this study. 2. Materials and Methods 2. Materials and Methods 2.1. Floating Gate Transisor 2.1. Floating Gate Transisor The operation principle to sense radiation using Floating Gate (FG) transistor is to first The operation pre-charge principle the FG using to sense radiation Fowler–Nordheim (FN) using Floating Tunneling by Gate applying(FG) atransistor large enoughis to first pre-charge the FG using Fowler–Nordheim (FN) Tunneling by electric field on the FG itself [6]. Once the FG is charged, an alpha particle incident will applying a large enough generateelectric fieldthat e–h pairs on will the FG be itself [6]. Once separated by an theapplied FG is charged, electricalanfield alpha and particle incident will discharge will the FGgenerate e–h pairs that [7]. Considering the will fact be separated that by anvoltage the threshold appliedofelectrical the device fieldis and will dis- proportional charge the FGwithin to the charge [7]. Considering the fact that the FG as described bythe threshold Equation (1),voltage an alpha ofincident the device willis shift propor- the tional to the device’s chargevoltage threshold within the FG as described as illustrated by Equation in Figure 1. (1), an alpha incident will shift the device’s threshold voltage as illustrated in Figure 1. Qss,ox Q Q Q Vth = φms − ,− ss,sti , + FG + D.max . + 2φ f (1) = − Cins −Csti +Csti + Cins + 2 (1) where φ ms isisthe where thecombined combined work function work difference, function Qss,ox and Q difference, ss,sti and are thearefixed thecharge fixed , , densities charge in the read densities in theout oxide read out and oxide inand the in control oxide oxide the control respectively and Cand respectively ins is the serial is the oxide-STI capacitance, given by (see Figure 1a): serial oxide-STI capacitance, given by (see Figure 1a): 11 11 −1 Cins = = ++ (2) (2) Csti C ox ∆QΔ Ne–h ·⋅q ∆VΔ = = FG = = (3) (3) th Csti ε 0 ε ox A/t / sti is the Ne–h is the number number of of generated generated e–h pairs by e–h pairs by aa single single alpha alpha incident, incident, A is the A is the sensing sensing capacitor area and t sti isisthe capacitor area thesensing sensingcapacitor capacitorthickness. thickness. VG>>VBulk Control Gate Control Gate 3500A Csti Source Drain 3500A Floating Gate Floating Gate 110A Cox Source Drain VD n+ n+ 110A n+ n+ p-substrate p-substrate (a) (b) ΔVT=Qinj/Csti ID ΔVT=Qion/Csti Uncharged Discharged Charged FG FG FG VG (c) Figure 1. FG transistor radiation response illustration: (a) Sensing capacitor charging. (b) e–h generation and separation. (c) Threshold voltage shift: Csti —sensing area capacitance; Qinj —injected charge by FN tunneling; Qion —ionized charge in an alpha incident.
Radiation Radiation 2021, 2021, 1, 1, FOR FOR PEER PEER REVIEW REVIEW 33 Radiation 2021, 1 Figure Figure 1. 1. FG FG transistor transistor radiation radiation response response illustration: illustration: (a) (a) Sensing Sensing capacitor capacitor charging. charging. (b) (b) e–h e–h gen- gen- 252 eration eration and and separation. separation. (c) (c) Threshold Threshold voltage shift: voltage shift: —sensing —sensing area area capacitance; capacitance; —injected —injected charge charge by by FN tunneling; FN tunneling; —ionized —ionized charge charge inin an an alpha alpha incident. incident. The The number Thenumber numberof of e–h ofe–h pairs e–hpairs generated pairsgenerated generatedby by byanan alpha analpha incident- incident- e–h–– , ,,can alphaincident-N can canbe be calculated becalculated calculatedbyby by dividing dividing the the absorbed absorbed energy energy of of a a single single alpha alpha particle particle dividing the absorbed energy of a single alpha particle with the with with the the e–h e–h pair pair generation generation en- energy. e–h pair generation en- . ergy. In the In ergy. In the the proposed proposed RadonRadon proposed Sensor,Sensor, Radon the STIthe Sensor, STI layer the layer layer thickness STIthicknessthickness isA.3500 is 3500is The 3500 .. The The absorbed absorbed energyen- absorbed is en- ergy is calculatedcalculated using using popular ergy is calculated popular SRIM SRIM software using popular software [8]. [8]. As[8]. SRIM software As shown shown in Figure As shown in Figure 2e–h pair in Figure 2e–h pair pair gener- 2e–hgeneration gener- ation ation energy energy energy inis SiO in SiO2in 17 eVis SiO 17 17 eV is[9]. eV [9]. [9]. SiO SiO22 -- 5.5MeV 5.5MeV Alpha Alpha Absorbed Absorbed Energy Energy 60 60 [KeV] energy[KeV] 50 50 40 absorbedenergy 40 30 30 Alphaabsorbed 20 20 10 10 00 Alpha 00 0.05 0.05 0.1 0.1 0.15 0.15 0.2 0.2 0.25 0.25 0.3 0.3 0.35 0.35 SiO SiO22 Depth Depth [um] [um] Alpha Alpha Energy Energy Figure Figure2.2. Absorbed 2.Absorbed energy Absorbedenergy of ofaaa5.5 energyof 5.5 MeV 5.5MeV alpha MeValpha particle alphaparticle crossing particlecrossing SiO layer SiO layer crossingSiO with layerwith range withrange range of 3500 . 3500 . Figure 2 ofof 3500 A. . The total Thetotal The absorbed totalabsorbed energy absorbedenergy within energywithin the withinthe STI theSTI layer layerisis STIlayer 53.7 is53.7 KeV, 53.7KeV, so KeV,so the sothe number numberofof thenumber e–h ofe–h pairs e–hpairs pairs produced by producedby produced byanan alpha analpha particle alphaparticle is: particleis:is: 53.7 53.7 ≈ 3150 – == absorbed energy = = 53.7 KeV ≈ 3150 (4) (4) – Ne–h = = 17 17 ≈ 3150 (4) pair generation energy 17 eV 2.2. 2.2. C-Sensor 2.2.C-Sensor C-Sensor Fabricating Fabricatinganan Fabricating anFGFG FG transistor transistor in in standard in standard transistor standardCMOSCMOS CMOS process process with with process aa single a single with polysilicon polysilicon single layer polysilicon layer layer was done in the mature, well-proven TowerJazz High Voltage standard 180 nm was was done done in the in the mature, mature, well-proven well-proven TowerJazzTowerJazz High High Voltage Voltage standard standard 180 nm 180 CMOS nm CMOS Process Process CMOS [10]. [10]. TowerJazz Process TowerJazz [10]. had had had been been developing TowerJazz been developing Floating-Gate Floating-Gate developingtechnology technology for memory Floating-Gate for devices, technology for memory which haddevices, been which later had further been later developed further and developed extended for and extended direct sensing memory devices, which had been later further developed and extended for direct sensing for of direct sensing radiation and of of radiation dubbed and C-cell. radiation dubbed andThis C-cell. C-cell. This technology dubbed andtechnology This and its reliability technology its its reliability andhave have have been been documented reliability documented been in the open documented literature in in the [11–16]. the open open The [11–16]. literature literature essence of [11–16]. The The this technology essence essence of thisistechnology of this shown in Figure technology is is shown shown3. in in Figure Figure 3. 3. Tunneling Tunneling capacitor capacitor Sensing Sensing capacitor capacitor Read-out Read-out NMOS NMOS Floating Gate Floating Gate TG TG CG CG Source Drain Bulk Source Drain Bulk Poly-Silicon Poly-Silicon p+ n+ p+ STI n+ n+ p+ n-well p+ n+ n-well p+ STI (SiO2) (SiO2) n-well n+ n+ p+ n-well Isolated p-well n-well Isolated p-well n-well Isolated p-well Isolated p-well Deep Deep n-well n-well p-substrate p-substrate Figure Figure3.3. Figure Implementation 3.Implementation of Implementationof C-Sensor ofC-Sensor in inaaasingle-poly C-Sensorin single-poly CMOS single-polyCMOS process-schematic CMOSprocess-schematic cross process-schematiccross section. crosssection. section. 2.3. System Implementation A way to effectively increase the sensing area of the device while keeping high yield, is by using a mosaic array of C-Sensors, where all cells are connected in parallel as shown
Radiation 2021, 1, FOR PEER REVIEW 4 Radiation 2021, 1 253 2.3. System Implementation A way to effectively increase the sensing area of the device while keeping high yield, is by using a mosaic array of C-Sensors, where all cells are connected in parallel as shown ininFigure Figure4.4.Each Eachcell cellininthe themosaic mosaicarray array is is considered considered as as sub-pixel. sub-pixel. Although Although aa defect defect in ina single sub-pixel will disable the sub-pixel itself, it will be negligible considering that a single sub-pixel will disable the sub-pixel itself, it will be negligible considering that there are thousands there of sub-pixels. are thousands of sub-pixels. (a) (b) Figure Figure4.4.Mosaic Mosaicconnectivity: connectivity:(a)(a)schematics; schematics;(b) (b)Layout. Layout. Thesensors The sensorsarray arrayisisbuilt by 90 builtby 90 ×× 64 64 sub-pixels, sub-pixels, where whereeacheachsub-pixel sub-pixelsensing sensingarea areais 17.5µm is17.5 ××12.5 12.5µm ,, so sothat thatthe theentire entirearray arraysensing sensingarea 1.12mm areaisis1.12 ××1.12 1.12mm .. InInorder ordertotodecrease decreaseDC DCandandtemperature temperaturedependencies, dependencies,aadifferential differentialmeasurement measurement isisperformed performedusingusingthe theconcept conceptofofactive activeand andblind blindsensor sensorarrays. arrays.Considering Consideringthat thatalpha alpha particle is a heavy particle, meaning its penetration depth is relatively small, few layers ofof5 Radiation 2021, 1, FOR PEER REVIEW particle is a heavy particle, meaning its penetration depth is relatively small, few layers Kaptonfilm Kapton (~50 ) film(~50 µm)werewereused usedtotocover coveroneoneofofthe thearrays arrayssosoititcould couldbebeconsidered consideredasasaa blinddetector. blind detector.TheThedevice devicelayout layoutisisshown shownininFigure Figure5.5. Another key concept in the proposed architecture is operating in the sub-threshold region, decreasing the power and noise, and also increasing the sensitivity due to the ex- ponential relation = ∝ exp at subthreshold. Figure 5. CMOS Sensor device layout. = ⋅ = ⋅ ⋅ (5) Operating in the subthreshold region introduces a linear relation between the output signal and the bias current— . This point is used as a feature to configure the sensitivity of the device, adapting it to long\short term measurements. Since the power consumption of the device is dominated by the bias current of the sub-pixels, working in the subthreshold will result in low power consumption which will
Radiation 2021, 1 254 Another key concept in the proposed architecture is operating in the sub-threshold Figure 5. CMOS Sensor region, device layout. decreasing the power andnoise, and also increasing the sensitivity due to the −Vth exponential relation I = Ids ∝ exp VGSnKT at subthreshold. = ⋅ = ⋅ ⋅ (5) dI q isig = ·∆Vth = · I ·∆Vth (5) dVth nKT Operating in the subthreshold region introduces a linear relation between the output signal and the bias current— . Operating in theThis point is used subthreshold as aintroduces region feature to aconfigure the sensitivity linear relation between the output of the device, adapting it to long\short term measurements. signal and the bias current—I. This point is used as a feature to configure the sensitivity of Since the device, power consumption adapting it to of the deviceterm long/short is dominated measurements. by the bias current of the sub-pixels, working Sinceinthethepower subthreshold will result consumption of thein device low power consumption is dominated which by the biaswill current of the enable the device to beworking sub-pixels, operatedinby thestandard AAA will subthreshold batteries. result in low power consumption which will An incident enablealpha particle the device onoperated to be the activeby sensors standardarrayAAA willbatteries. increase current as shown in Equation (5). An Subtracting the blind array’s current from the incident alpha particle on the active sensors array will active array’s current increase pro-as shown in current vides a differential Equation measurement. (5). SubtractingHence, the blind thearray’s readout circuitfrom current wasthe designed as a precise active array’s current provides current subtractor followed a differential by a Trans Impedance measurement. Amplifier Hence, the readout (TIA), circuit wasto convert designed the asoutput a precise current signal into subtractor output voltagefollowed by a Trans (see Figure Impedance 6). The differenceAmplifier between (TIA), to convert two adjacent the output samples of signal the readoutinto output voltage, voltagethe meaning (see Figurevoltage output 6). Thederivative, differencereflects between thetwo adjacent amount samples of the of alpha readout voltage, meaning the output voltage derivative, reflects the amount of alpha particles incidents. particles incidents. Radiation 2021, 1, FOR PEER REVIEW 6 (a) (b) FigureFigure 6. (a) Readout schematic 6. (a) Readout as a current schematic subtractor as a current followed subtractor by a TIA. followed by(b) current a TIA. (b) subtractor current subtractor design based on cascaded current mirrors. design based on cascaded current mirrors. Considering Equation (3), the threshold shift of a single sub-pixel caused by a single alpha incident is given in Equation (6). ⋅ 3150 ⋅ 1.6 ⋅ 10 Δ , = = = 23 (6) / 8.84 ⋅ 3.9 ⋅ 10 ⋅ 12.5 ⋅ 17.5 ⋅ 10 /3500 ⋅ 10 So that the average threshold voltage shift of the entire array is: Δ , Δ = = 4 (7) 64 × 90
(b) Radiation 2021, 1 255 Figure 6. (a) Readout schematic as a current subtractor followed by a TIA. (b) current subtractor design based on cascaded current mirrors. Considering Considering Equation Equation (3), (3), the the threshold threshold shift shift of of aa single single sub-pixel sub-pixelcaused causedby byaasingle single alpha alpha incident incident is is given given in in Equation Equation(6). (6). ⋅ ·q 3150 ⋅ 1.6 ⋅ 10 ·1.6 ·10−19 Δ ,∆V=th,α = Ne–h= 3150 =⋅ 3.9 ⋅ 10 −⋅ 12.5 ==23 23 mV (6) (6) ε / 8.84 0 ε ox A/tsti 8.84·3.9·10 12 ·12.5·17.5⋅·10 ⋅ 17.5 10−12/3500 /3500·⋅10 10−10 So that the average threshold voltage shift of the entire array is: So that the average threshold voltage shift of the entire array is: Δ , Δ =∆Vth,α = 4 (7) ∆Vth = 64 × 90 = 4 µV (7) 64 × 90 3. Results 3. Results 3.1. Device 3.1. Device Characterization Characterization As As the first part of of the the device devicecharacterization, characterization,the thecharging chargingmechanism mechanismwas was tested tested to to achieve achieve controllability controllability over over thethe threshold threshold voltage voltage of of each each sensor sensor array. array. Figure Figure 7 shows 7 shows an an initial initial calibration calibration process process to shift to shift the sub-pixels the sub-pixels threshold threshold voltagevoltage into and into higher higher and positive positive values. values. Initial Full Arrays IV curve Calibrated Full Arrays IV curve 60 100 50 80 Current [mA] Current [mA] 40 60 30 40 20 10 20 0 0 -4 -3 -2 -1 0 1 2 3 4 5 6 Vcg [V] Vcg [V] Blind Active Blind Active (a) (b) Figure7.7.Full Figure FullArrays ArraysIV IVCurves. Curves. (a) (a) initial initialIV IVcurve; curve;(b) (b)calibrated calibratedIV IVcurve. curve. The need to have such controllability over the threshold voltage comes from the need to: (a) minimize the offset between the arrays, keeping the readout circuit out of saturation, (b) configure high threshold voltage, to increase the e–h separation ratio, and (c) perform a sort of reset stage once the readout circuit is close to saturation. To characterize the device response to alpha particles radiation, the device was exposed to an alpha source, Po-210, with an alpha emission rate of 925 Bq for two periods of 6 min, with a reset stage before each exposure. The number of alpha particles reaching the detector is given by: AD (emission rate)· (8) 2· R2 π where A D is the detector active sensing area and R is the distance of the detector from particles the alpha source. Incident alpha ratio is calculated to be 45 sec , so that the expected threshold voltage shift can be calculated by multiplying the threshold voltage shift caused by a single alpha incident, with the number of alpha particles reaching the detector: #α ∆Vth = 4 µV ·45 ·300 ≈ 52 mV (9) sec
where is the detector active sensing area and R is the distance of the detector from the alpha source. Incident alpha ratio is calculated to be 45 , so that the expected threshold voltage shift can be calculated by multiplying the threshold voltage shift caused Radiation 2021, 1 by a single alpha incident, with the number of alpha particles reaching the detector: 256 # Δ = 4 ⋅ 45 ⋅ 300 ≈ 52 (9) Figure Figure88describes describesthe experiment the experiment flow andand flow the the threshold voltage threshold shift.shift. voltage Table Table 1 sum-1 marizes the results over three different devices, where each device was exposed summarizes the results over three different devices, where each device was exposed twice twice to the alpha source, while a reset stage was performed before each exposure (see to the alpha source, while a reset stage was performed before each exposure (see Figure 9).Figure 9). Table Table 11 indicates the bias indicates the bias current currentofofthe theactive activedevice deviceinineach eachexposure, exposure, the the threshold threshold volt- voltage age shiftshift andandthe the readout readout voltage voltage change change through through the exposure. the exposure. Initial IV curve IV Curve post first exposure 8 10 8 Current [mA] Current [mA] 6 6 4 4 2 2 0 0 3.5 4 4.5 5 3.5 4 4.5 5 Vcg [V] Vcg [V] Iactive Iblind Iactive Iblind Radiation 2021, 1, FOR PEER REVIEW Iactive sat line Iblind sat line 8 Iactive sat line Iblind sat line (a) (b) IV Curve After Reset IV Curve post second exposure 8 8 Current [mA] Current [mA] 6 6 4 4 2 2 0 0 3.5 4 4.5 5 3.5 4 4.5 5 Vcg [V] Vcg [V] Iactive Iblind Iactive Iblind Iactive sat line Iblind sat line Iactive sat line Iblind sat line (c) (d) Figure Figure 8. 8. Blind Blind and and Active arrays IV Active arrays IV curve. curve. (a) (a)Initial InitialIV IVcurve. curve.(b) (b)post post6 6min minexposure exposureIVIV curve. curve. (c)(c) IVIV curve curve after after reset. reset. (d) (d) post second 6 min exposure. post second 6 min exposure. Table 1. Summary of CMOS Sensor exposure to Alpha radiation. First Alpha Radiation Exposure - Vout Second Alpha Radiation Exposure - Vout 4 #Device #Measurement 4 Bias Current ∆Vth ∆Vout 1 1 103 µA 57 mV 1.75 V 1 2 3.5 102 µA 53 mV 1.81 V 3.5 2 1 90.5 µA 60 mV 1.8 V Vout [V] Vout [V] 2 2 85 µA 52 mV 1.76 V 3 3 1 3 98 µA 44 mV 1.92 V 3 2 110 µA 44 mV 1.45 V 2.5 2.5 2 2 0 2 4 6 8 10 12 0 2 4 6 8 10 12 Time [minutes] Time [minutes]
Iactive Iblind Iactive Iblind Iactive sat line Iblind sat line Iactive sat line Iblind sat line Radiation 2021, 1 (c) (d) 257 Figure 8. Blind and Active arrays IV curve. (a) Initial IV curve. (b) post 6 min exposure IV curve. (c) IV curve after reset. (d) post second 6 min exposure. First Alpha Radiation Exposure - Vout Second Alpha Radiation Exposure - Vout 4 4 3.5 3.5 Vout [V] Vout [V] 3 3 2.5 2.5 2 2 0 2 4 6 8 10 12 0 2 4 6 8 10 12 Time [minutes] Time [minutes] Vout Vout Figure Figure 9. profile 9. V profileduring duringalpha alpharadiation exposure. V isismeasured radiationexposure. measuredatatthe theoutput outputofofthe theTIA TIA(see (seeFigure Figure6a). 6a). out out Table 1. Summary of CMOS Sensor exposure to Alpha radiation. Radiation 2021, 1, FOR PEER REVIEW3.2. Radon Gas Exposure 9 #Device #Measurement Four instances of the proposed radonBias sensors to radon gas in Current were exposed concentra- 1 Bq 1 Bq 103 57 1.75 tions of 200 m3 up to 800 m3 for two periods of 9 days and 7 days respectively. The sensor 1 2 102 53 1.81 Figure results were10 presents with compared 27 mV threshold voltage commercial shift detectors: afterEye Radon 9 days plusofand radon exposure Airthings for a wave. 2 1 90.5 60 1.8 singleFigure sensor, 10 while Figure presents 27 mV 11threshold presents voltage the readout circuit shift after derivative 9 days of radon ofexposure all instances, for a 2 2 85 52 1.76 single sensor, which while represents theFigure 11 difference voltage presents the readouttwo between circuit derivative measures of allbyinstances, caused which alpha particles 3 1 98 44 1.92 represents incident the voltage difference 3 on the active detector. 2 Allbetween two measures instances 110 present caused the same by alpha particles 44trend, while the 1.45 incident distribution onthe of the results active detector. All instances reflects each present the which sensor’s sensitivity, same trend, while the is configured bydistribution the sensor’sofbias the results reflects each sensor’s sensitivity, which is configured by the sensor’s bias current. current. 3.2. Radon Gas Exposure Four instances of the proposed radon sensors were exposed to radon gas in concen- CMOS Sensor trationsIV 200 ofCurves up to 800 before and after 9 days for two of Radon periods exposure of 9 days and 7 days respectively. The 9 sensor results were compared with commercial detectors: Radon Eye plus and Airthings wave. 8 7 6 current [mA] 5 4 3 2 1 0 3.8 4 4.2 4.4 4.6 4.8 5 Vcg [V] Iactive_initial Iblind_initial Iactive_post_9_days_radon_exposure Iblind_post_9_days_radon_exposure Figure Figure 10. 10. IV IV curve curve of of blind blind and and active active arrays, arrays, before before and and after after 99 days of Radon days of Radon exposure. exposure. 9 days Radon Exposure - Delta Vout 2 1.8 1.6
3.8 4 4.2 4.4 4.6 4.8 5 Vcg [V] Iactive_initial Iblind_initial Radiation 2021, 1 Iactive_post_9_days_radon_exposure Iblind_post_9_days_radon_exposure 258 Figure 10. IV curve of blind and active arrays, before and after 9 days of Radon exposure. 9 days Radon Exposure - Delta Vout 2 1.8 1.6 Delta Vout [mV] 1.4 1.2 1 0.8 0.6 0.4 0.2 Radiation 2021, 1, FOR PEER 0 REVIEW 10 20 40 60 80 100 120 140 160 180 200 Time [hours] Figure 12 shows the comparison between commercial radon sensors to the proposed Device 1 In order CMOS sensor. Device 2 to convert theDevice 3 voltage readout Device into4 radon concentration, a calibra- tion factor is suggested: Figure Figure 11. 11. Readout Readout voltage voltage derivative. derivative. = (10) ⋅ Figure 12 shows the comparison between commercial radon sensors to the proposed CMOS Calculating sensor. In the calibration order to convertfactor for thevoltage the readout compared intodevice in Figure 12, isa given radon concentration, by: calibration factor is suggested: 501 REFavg = Factor = Calibration = 9.09 (11) (10) CRSavg · Ibias ⋅ ⋅ 0.58 ⋅ 96 Comparison to Commercial Radon Monitors 900 0.8 Radon Eye + 0.75 800 700 0.7 0.65 Delta Vout [uV/sec] 600 0.6 500 Bq/m3 0.55 400 0.5 300 Airthings Wave CMOS Radon Sensor 0.45 200 0.4 100 0.35 0 0.3 2021/5/3 14:24 2021/5/5 14:24 2021/5/7 14:24 2021/5/9 14:24 Time Radon Eye Plus 24h average Airthings Wave RADON CMOS Sensor 24h Avg Figure Figure 12. 12. CMOS CMOS Sensor Sensor comparison comparison to to commercial detectors [17,18]. commercial detectors [17,18]. Figure 13 shows radon measurement of a different CMOS sensor device, with a higher sample rate, at a different period of time. Calibration factor is extracted again: 180.5 = = 9.6 (12) 0.22 ⋅ 85 ⋅ ⋅
Radiation 2021, 1 259 Calculating the calibration factor for the compared device in Figure 12, is given by: Bq 501 m3 Bq Calibration Factor = = 9.09 (11) 0.58 mV ·96 µA m3 ·mV ·µA Figure 13 shows radon measurement of a different CMOS sensor device, with a higher sample rate, at a different period of time. Calibration factor is extracted again: Bq Radiation 2021, 1, FOR PEER REVIEW 180.5 m3 Bq 11 Calibration Factor = = 9.6 (12) 0.22 mV ·85 µA m3 ·mV ·µA Radon Eye Plus Vs Radon CMOS Sensor 350 0.43 300 0.38 Delta Vout [uV/sec] 250 0.33 200 Bq/m3 0.28 150 0.23 100 50 0.18 Radon Eye CMOS Radon 0 0.13 2021/5/14 7:12 2021/5/16 7:12 2021/5/18 7:12 Time Radon CMOS Sensor 12 hours Average Radon Eye Pluse 12h averge Figure 13. Figure 13. CMOS Sensor comparison CMOS Sensor comparison to to commercial commercial detectors. detectors. 4. Conclusions 4. Conclusions A new sensing system for detecting high energy alpha particle and Radon gas is re- A new sensing system for detecting high energy alpha particle and Radon gas is ported. reported. The system The system is isbased basedonona aCMOS CMOSIC ICSensor Sensorwhich which was was fabricated fabricated inin aa standard standard 0.18 μm CMOS process with a single polysilicon layer. The sensor’s unique 0.18 µm CMOS process with a single polysilicon layer. The sensor’s unique architecture is architecture is based based onon active active andand blind blind mosaic mosaic arrays arrays of of FGFG cells, cells, operating operating in in subsub threshold threshold region. region. The sensing system was tested by exposure to an alpha radiation source The sensing system was tested by exposure to an alpha radiation source in a controlled in a con- trolled environment as well as to Radon gas and showed high sensitivity environment as well as to Radon gas and showed high sensitivity and good correlation and good corre- to lation to other commercial other commercial radon detectors.radon detectors. In In summary, summary, thethe main main advantages advantages of of the the new new Sensing Sensing System System are: are: low low cost cost compared compared to commercialradon to commercial radonsensors, sensors,enabling enablingit it toto bebe applied applied in every in every smart smart home;home; low low powerpower and and may may be battery be battery operated operated usingusing standard standard AAA batteries; AAA batteries; and theand the integrated integrated digital digital sensor sensor allows allows for continuous for continuous sampling sampling of radon ofgas radon gas in air in indoor indoor air providing providing hourly reso- hourly resolution of lution of Radon levels. The CMOS die is passivated, and therefore Radon levels. The CMOS die is passivated, and therefore insensitive to humidity. insensitive to humidity. 5. Patents Technion-TODOS Ltd. Technion-TODOS Ltd. Patent Application; # provisional July 2019, Current Current July 2021. 2021. Conceptualization,Y.N.; Contributions: Conceptualization, Author Contributions: Y.N.;methodology, methodology,Y.N.Y.N.and and R.S.; R.S.; software, software, R.S.; R.S.; val- valida- idation, tion, R.S.;R.S.; formal formal analysis, analysis, Y.N.Y.N. and and R.S.;R.S.; investigation, investigation, Y.N. Y.N. and writing—original and R.S.; R.S.; writing—original draft draft prep- aration, R.S.; R.S.; preparation, writing—review and editing, writing—review Y.N.Y.N. and editing, and and R.S.;R.S.; supervision, Y.N.;Y.N.; supervision, project administration, project administra- Y.N.; funding acquisition, Y.N. Both All authors have read and agreed to the published version of the manuscript. Funding: This research was funded by TODOS TECHNOLOGIES Ltd. (https://www.todos-technol- ogies.com, (accessed on 1 August 2021)) TODOS TECHNOLOGIES holds exclusively the IP related
Radiation 2021, 1 260 tion, Y.N.; funding acquisition, Y.N. Both authors have read and agreed to the published version of the manuscript. Funding: This research was funded by TODOS TECHNOLOGIES Ltd. (https://www.todos- technologies.com, (accessed on 1 August 2021)) TODOS TECHNOLOGIES holds exclusively the IP related to this work, Technion grant number “2024790”. The die fabrication was funded by TowerJazz. The patents related to the technology of fabrication are held exclusively by TowerJazz. Institutional Review Board Statement: Not applicable. Informed Consent Statement: Not applicable. Data Availability Statement: Not applicable. Acknowledgments: The authors would like to thank all the people who contributed to this work: Igor Brouk, Tanya Blank, Sara Stolyarova, Sharon Bar-Lev, and Gavriel Amar. Last but not least, the enormous contribution of Lena Zugman, the library of the ECE Dept. at Technion-Israel Institute of Technology is appreciated. Conflicts of Interest: The authors declare no conflict of interest. Roy Shor pursued this research as part of his M.Sc. thesis at Technion- Israel Institute of Technology. Yael Nemirovsky supervised the research and thesis. References 1. Kutz, M. Handbook of Environmental Engineering, 1st ed.; John Wiley & Sons: Hoboken, NJ, USA, 2018; pp. 546–553. 2. US Environmental Protection Agency. A Citizen’s Guide to Radon: The Guide to Protecting Yourself and Your Family from Radon. Available online: https://www.epa.gov/radon/citizens-guide-radon-guide-protecting-yourself-and-your-family-radon (accessed on 17 September 2021). 3. Suzuki, G.; Yamaguchi, I.; Ogata, H.; Sugiyama, H.; Yonehara, H.; Kasagi, F.; Fujiwara, S.; Tatsukawa, Y.; Mori, I.; Kimura, S. A nation-wide survey on indoor radon from 2007 to 2010 in Japan. J. Radiat. Res. 2010, 51, 683–689. [CrossRef] [PubMed] 4. Kim, J.H.; Yun, S.H.; Kim, G.S. Accuracy Improvement of a PIN Photodiode Radon Counter. Int. J. Innov. Sci. Eng. Technol. 2017, 4, 129–133. 5. Hofmann, M.; Richter, M.; Jann, O. Use of commercial radon monitors for low level radon measurements in dynamically operated VOC emission test chambers. Radiat. Prot. Dosim. 2017, 177, 16–20. [CrossRef] [PubMed] 6. Pavan, P.; Larcher, L.; Marmiroli, A. Floating Gate Devices: Operation and Compact Modeling, 1st ed.; Springer Science: Boston, MA USA, 2004; pp. 24–29. 7. Cellere, G.; Paccagnella, A.; Larcher, L.; Chimenton, A.; Wyss, J.; Candelori, A.; Modelli, A. Anomalous charge loss from floating-gate memory cells due to heavy ions irradiation. IEEE Trans. Nucl. Sci. 2002, 49, 3051–3058. [CrossRef] 8. SRIM—The Stopping and Range of Ions in Matter. Available online: http://www.srim.org/ (accessed on 1 August 2021). 9. Ausman, G.A., Jr.; McLean, F.B. Electron-Hole pair Creation Energy in SiO2 . Appl. Phys. Lett. 1975, 26, 173–175. [CrossRef] 10. TowerJazz–Radiation and UV Sensors. Available online: https://towersemi.com/technology/non-imaging-sensors/radiation- sensors (accessed on 1 August 2021). 11. Pikhay, E.; Roizin, Y.; Nemirovsky, Y. Degradation study of single poly radiation sensors by monitoring charge trapping. Microelectron. Reliab. 2016, 59, 18–25. [CrossRef] 12. Pikhay, E.; Roizin, Y.; Nemirovsky, Y. Ultra-low power consuming direct radiation sensors based on floating gate structures. J. Low Power Electron. Appl. 2017, 7, 20. [CrossRef] 13. Villani, E.G.; Crepaldim, M.; DeMarchi, D.; Gabrielli, A.; Khan, A.; Pikhay, E.; Roizin, Y.; Rosenfeld, A.; Zhang, Z. A monolithic 180 nm CMOS dosimeter for wireless In Vivo Dosimetry. Radiat. Meas. 2016, 84, 55–64. [CrossRef] 14. Pikhay, E.; Roizin, Y.; Gatti, U.; Calligaro, C. Re-usable 180 nm CMOS dosimeter based on a floating gate device. In Proceedings of the IEEE International Conference on Electronics, Circuits and Systems (ICECS), Monte Carlo, Monaco, 11–14 December 2016. 15. Gatti, U.; Calligaro, C.; Parlato, A.; Tomarchio, E.A.G.; Pikhay, E.; Roizin, Y. Silicon dosimeters based on Floating Gate Sensor: Design, implementation and characterization. In Proceedings of the IEEE 20th Mediterranean Electrotechnical Conference (MELECON), Palermo, Italy, 16–18 June 2020. 16. Pikhay, E.; Roizin, Y.; Nemirovsky, Y. Characterization of Single Poly Radiation Sensors. IEEE Electron Device Lett. 2015, 36, 618–620. [CrossRef] 17. Airthings Wave Detector. Available online: https://www.airthings.com/wave-radon (accessed on 1 August 2021). 18. Radon Eye Detector. Available online: http://radoneye.com/ (accessed on 1 August 2021).
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