Classifications

• • G—PHYSICS
  • G01—MEASURING; TESTING
  • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
  • G01N27/00—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means
  • G01N27/26—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating electrochemical variables; by using electrolysis or electrophoresis
  • G01N27/28—Electrolytic cell components
  • G01N27/30—Electrodes, e.g. test electrodes; Half-cells
  • G01N27/327—Biochemical electrodes, e.g. electrical or mechanical details for in vitro measurements
  • G01N27/3271—Amperometric enzyme electrodes for analytes in body fluids, e.g. glucose in blood
  • G01N27/3273—Devices therefor, e.g. test element readers, circuitry
• • G—PHYSICS
  • G01—MEASURING; TESTING
  • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
  • G01N27/00—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means
  • G01N27/26—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating electrochemical variables; by using electrolysis or electrophoresis
  • G01N27/28—Electrolytic cell components
  • G01N27/30—Electrodes, e.g. test electrodes; Half-cells
  • G01N27/327—Biochemical electrodes, e.g. electrical or mechanical details for in vitro measurements
  • G01N27/3271—Amperometric enzyme electrodes for analytes in body fluids, e.g. glucose in blood
  • G01N27/3274—Corrective measures, e.g. error detection, compensation for temperature or hematocrit, calibration
• • G—PHYSICS
  • G10—MUSICAL INSTRUMENTS; ACOUSTICS
  • G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
  • G10L19/00—Speech or audio signals analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signals, using source filter models or psychoacoustic analysis
  • G10L19/008—Multichannel audio signal coding or decoding using interchannel correlation to reduce redundancy, e.g. joint-stereo, intensity-coding or matrixing

Definitions

• the present invention relates to electrochemical methods of analysis, and more particularly to a low-cost voltammetric analysis system using widely available mobile computing technology.
• the present invention provides a mobile computing device comprising:
• one or more memory components comprising a program and data store accessible to the microprocessor
• an audio interface comprising an audio signal output having first and second channels and an audio signal input, which is operable under control of the microprocessor, wherein the audio interface is connectible, in use, to a
• voltammetric cell comprising first and second electrodes, the first channel of the audio signal output being connected to the first electrode, the second channel of the audio signal output being connected to the second electrode via a resistor, and the audio signal input being connected to the second electrode via a capacitor;
• the program and data store containing instructions which, when executed by the microprocessor, cause the mobile computing device to implement steps of: generating an output voltage waveform between the first and second channels of the audio signal output, the output voltage waveform comprising a time-varying voltammetric driving potential and an AC perturbation;
• the mobile computing device may be a mobile phone, a smart phone, a tablet, or similar.
• the audio interface is thus an inbuilt feature of the mobile computing device, and requires no additional external active peripheral sensing apparatus.
• investigations conducted by the present inventors have established that, by using the audio output of the headset port of a mobile device to apply the driving voltage waveform, and the microphone input line of the same port to measure the current (as a voltage across the resistor), a voltammogram can be produced which remarkably resembles the results obtained using a conventional potentiostat.
• the instructions cause the mobile computing device to generate the output voltage waveform by:
• each channel of a conventional audio output interface may provide for peak-to-peak waveforms of up to 0.7 volts, such that driving the two channels in opposition makes a peak-to- peak potential of 1 .4 volts available.
• the instructions cause the mobile computing device to generate the output voltage waveform in which the voltammetric driving potential is a triangle wave.
• the executable program instructions may take the form of an app, which may be downloaded and installed on the mobile computing device. Driving of the audio output, and capture of the audio input, may be achieved programmatically using standard application
• APIs programming interfaces
• iOS, Android or Windows a programming interface provided by the relevant operating system
• Input and output via the mobile device may also advantageously be implemented using available APIs.
• no additional hardware and/or operating system support is required in order to implement the required programming on a wide range of commercially available mobile computing devices.
• a number of performance trade-offs can be controlled via selection of the resistor value, and/or parameters of the superimposed AC perturbation, such as its amplitude and frequency. For example, increasing the resistor value improves sensitivity, but reduces linear dynamic range of the sensing function. Increasing frequency of the AC perturbation improves performance, up to a point, while increasing amplitude also increases sensitivity. However, this is not entirely beneficial, because increased voltammetric current response also increases ohmic effects, and impacts on linearity and dynamic range.
• the resistor has a value in the range 47 ⁇ to 4.7 kQ, more particularly in the range 68 ⁇ to 390 ⁇ , and more particularly around 100 ⁇ .
• a frequency of the AC perturbation is in the range 50 Hz to 500 Hz, more particularly in the range 100 Hz to 400 Hz, and more particularly in the range of around 200 Hz to around 300 Hz. It is desirable, however, to avoid mains pickup, which typically occurs at around 50 Hz, or 60 Hz, depending upon the country. According to embodiments of the invention, therefore, the frequency of the AC perturbation is not 50 Hz, or any multiple of 50 Hz, and/or is not 60 Hz, or any multiple of 60 Hz.
• an amplitude of the AC perturbation, relative to a peak output voltage is in the range 0.7 percent to 7 percent, and more particularly around 3 percent to around 5 percent.
• Embodiments of the invention also provide a method of AC
• the method comprising: connecting, to the voltammetric cell, a mobile computing device as described above, wherein the first channel of the audio signal output is connected to a first electrode of the voltammetric cell, the second channel of the audio signal output is connected to a second electrode of the voltammetric cell via the resistor, and the audio signal input is connected to the second electrode of the
• the mobile computing device acquiring a voltammetric response waveform
• performing the second harmonic analysis comprises filtering a second harmonic waveform from the AC
• the filtering may conveniently be performed by computing a frequency transform of the voltammetric response waveform, extracting frequency components of the transformed waveform corresponding with the second harmonic frequency, and performing an inverse frequency transform on the extracted signal.
• Figure 1 illustrates a conventional two-electrode potentiostat configuration
• Figure 2 illustrates a configuration for connecting the audio interface of a mobile computing device to a voltammetric cell embodying the invention
• Figures 3A and 3B illustrate a voltammetry app executing on a mobile computing device
• Figure 4 is a flowchart illustrating a voltammetric measurement procedure embodying the invention
• Figure 5 is a flowchart illustrating a method of data analysis embodying the invention
• Figure 6 shows exemplary results of measurement and analysis according to the procedures of Figures 4 and 5;
• Figure 7 is a graph illustrating sensitivity of measurement as a function of AC amplitude and frequency according to embodiments of the invention.
• Figures 8A and 8B are calibration plots for different resistor values according to embodiments of the invention.
• FIG. 1 illustrates schematically a conventional two-electrode potentiostat configuration 100.
• a voltammetric cell 102 is provided, which contains an analyte solution. Immersed in the analyte solution are a working electrode (WE) 104, and a counter electrode (CE) 106.
• the WE and CE have corresponding terminals 108, 1 10.
• a time-varying potential is applied between the WE and CE by a voltage/signal source 1 12.
• a resulting time-varying current within the circuit is measured, e.g. by an ammeter 1 14.
• the time-varying potential applied to the WE drives oxidation and/or reduction of the analyte.
• Various forms of voltammetry, in which the resulting current is analysed are able to provide sensitive quantitative information from the magnitude of the current peak, as well as a degree of selectivity based upon the potential axis of a voltammogram.
• a further advantage of voltammetry is the great diversity of specialised sub-techniques available, each defined by the nature of the excitation signal which is applied to the WE, i.e. almost anything from a triangular waveform to a complex series of incremented pulses.
• One particular variety of voltammetry employed in embodiments of the present invention is second harmonic AC voltammetry.
• an AC perturbation superimposed on a more slowly time-varying driving potential is applied to the WE.
• the resultant current signal is processed to extract a second harmonic corresponding with the AC perturbation frequency, which has the advantage that the second harmonic signal is relatively free of capacitive background current.
• a further property of second harmonic AC voltammetry is that it does not require the capture or recording of any DC component of the current waveform.
• Embodiments of the present invention take advantage of this property to enable a mobile computing device having a standard audio interface (i.e. first and second stereo output channels, and a microphone input channel) to be programmed in software to act as a potentiostat suitable for connection to a voltammetric cell 102 in a two-electrode configuration.
• Standard audio inputs, including microphone inputs are almost invariably AC-coupled, considering that capture of frequencies below the audible range provides no value, and that DC- coupled inputs are susceptible to static accumulation, noise and drift.
• FIG. 2 illustrates schematically a configuration 200 for connecting the audio interface of a standard mobile computing device to a voltammetric cell embodying the invention.
• the configuration 200 comprises the standard two- electrode voltammetric cell 102 with WE 104 and CE 106.
• a resistor 202 and capacitor 204 are connected to the terminal 108 associated with the WE 104.
• a cable is provided having a conventional four-conductor TRRS (tip-ring-ring- sleeve) 3.5 mm audio jack (CTIA pinout) 206.
• TRRS tip-ring-ring- sleeve
• CTIA pinout audio jack
• the first ring 208 contacts the first (right) channel output
• the tip 210 contacts the second (left) channel
• the sleeve 212 contacts the microphone input conductor
• the second ring 214 is a ground or common connection.
• the first output channel is connected 218 to the terminal 1 10 of the voltammetric cell 102.
• the second output channel is connected 216 to the open end of the resistor 202, and the audio input
• an output voltage waveform may be generated between the first and second channels of the audio signal output of a suitable mobile computing device, which comprises a time-varying voltammetric driving potential (such as a ramp or triangle wave) combined with an AC perturbation signal.
• a suitable mobile computing device which comprises a time-varying voltammetric driving potential (such as a ramp or triangle wave) combined with an AC perturbation signal.
• the mobile computing device may be programmed to generate a first waveform for output on the first channel and a second waveform for output on the second channel, where the first and second waveforms are inverse to one another, such that the total potential available to be applied between the first and second channel outputs is effectively double the peak voltage output available at each channel individually.
• the AC perturbation may be
• the AC perturbation is superimposed on the first waveform and applied to the CE 106 directly.
• the AC perturbation may be superimposed on the second waveform, and applied to the WE 104 via the resistor 202.
• the resulting current which flows in the circuit via the voltammetric cell 102, generates a voltage across the resistor 202 which has AC components that can be received and captured by the audio signal input of the mobile computing device.
• Figure 3A illustrates an exemplary user interface of a voltammetry app executing on a mobile computing device 300.
• the device 300 has a socket 302, to which the jack 206 can be fitted.
• the app interface has a parameter input region 304, via which the user is able to enter measurement parameters in a conventional manner, by interacting with the touchscreen display of the mobile computing device.
• Such parameters may include properties of the underlying time-varying voltammetric driving potential, such as triangle wave timing parameters, as well as properties of the superimposed AC perturbation, such as amplitude and frequency.
• Input buttons 306 enable the user to interact with the app to start and stop measurements.
• a waveform display region 308 shows both output and input
• the second channel output 310 comprises a positive- going triangle wave upon which an AC perturbation has been superimposed.
• the first channel output 312 comprises a complementary negative-going triangle wave.
• the resulting signal received at the audio signal input of the mobile computing device 300 is shown as the trace 314. The user is thereby able to monitor progress of a measurement as it occurs.
• FIG. 3B is block diagram showing schematically a number of exemplary components within the mobile computing device 300.
• the exemplary device 300 comprises a microprocessor 320 which is connected to a number of integrated peripherals via one or more data, address, communications and/or signalling buses 322.
• one or more memory components 324 are accessible to the microprocessor 320, and comprise a store for programs and data which may be executed or processed by the microprocessor 320.
• Also integrated in the exemplary mobile device 300 is at least one network interface 328, such as a cellular mobile telephone interface and/or a Wi-Fi interface, which the device 300 may use for communication with remote systems.
• An antenna 330 further facilitates wireless communications.
• the device 300 further includes stereo audio output 332 and audio input 334 interfaces.
• the audio output 332 itself comprises the necessary buffering, timing, and digital-to-analog conversion functionality required to convert digital signal waveforms received from the microprocessor 320 into two-channel analog output signals at the audio socket 302.
• the audio input interface 334 comprises the necessary timing, buffering and analog-to-digital conversion functions required to capture an analog input signal received from the audio socket 302, convert the received signal into an equivalent digital waveform, and buffer received values for transfer to memory 324 and/or retrieval by the microprocessor 320.
• the memory components 324 may comprise different types of memory elements, such as volatile memory (e.g. random access memory), and nonvolatile memory, such as flash memory, other forms of solid-state memory, and/or magnetic storage devices such as a hard disk drive.
• volatile memory e.g. random access memory
• nonvolatile memory such as flash memory, other forms of solid-state memory, and/or magnetic storage devices such as a hard disk drive.
• program instructions and associated data 336 comprising an application (or 'app') implementing functionality embodying the invention, including providing a user interface such as is illustrated in Figure 3A, and the further functionality described below, particularly with reference to Figure 4.
• the mobile computing device 300 also includes a touchscreen interface 326, enabling the above-described interactions (i.e. input and output) with a user.
• FIG. 4 is a flowchart 400 illustrating a voltammetric measurement procedure embodying the invention.
• Initial manual steps comprise connecting 402 the mobile device 300 to the voltammetric cell, e.g. in the configuration 200 illustrated in Figure 2, executing 404 the voltammetric measurement app, and setting 406 measurement parameters via interaction with a relevant portion of the user interface 304.
• the user interacts with the touchscreen buttons 306 to commence the measurement.
• the app executes in two parallel threads.
• thread A the excitation potential waveforms are generated and output to the voltammetric cell.
• thread B the audio signal input is monitored to capture the resulting output signal.
• the operations of thread A comprise generating 408 a positive- going waveform, generating 410 a negative-going waveform, superimposing 412 an AC perturbation on at least one of the waveforms, e.g. the positive-going waveform generated at step 408 and outputting 414 the pair of waveforms to the first and second audio channels via the device audio output interface 332.
• the separate steps 408, 410 412, 414 are illustrated by way of example only.
• the waveforms may, in practice, be generated in any sequence and in particular may be generated substantially simultaneously, and
• the audio input channel is monitored 416, and the input waveform is captured 418.
• the input voltage waveform is recorded 420 as a voltammetric response waveform within the data store 324 of the mobile device 300. Recording of the waveform into memory may be performed in a number of equivalent ways, e.g. continuously or periodically during the course of a measurement, or as a separate step following completion of the measurement.
• a digital representation of a voltammetric response waveform e.g. waveform 314, has been captured and recorded into memory 324 of the mobile device 300.
• FIG. 5 there is shown a flowchart 500 illustrating a method of data analysis of the recorded waveform embodying the invention.
• the data analysis may be performed on the mobile device 300, via additional analysis functionality provided within the app, or the waveform data may be transferred to another device, such as a desktop computer, laptop computer, or cloud-based server, for further analysis.
• the recorded wave form is retrieved.
• a second harmonic analysis is performed.
• the second harmonic analysis 504 results in a waveform that is characteristic of the oxidation and/or reduction of the analyte within the voltammetric cell 102. Further steps in the data analysis 500 may be optionally performed or omitted in various embodiments of the invention.
• the results of the second harmonic analysis may be displayed.
• a further analysis step 508 provides for integration of the area under the peaks of the waveform resulting from the second harmonic analysis. These 'integrated peaks' (IP) are generally correlated with the analyte concentration.
• IP integrated peaks'
• the analyte concentration corresponding with the IP value may be computed.
• the computation 510 of analyte concentration may involve accessing calibration data in order to apply a predetermined relationship between IP values and analyte concentration. Examples of calibration data are discussed in greater detail below with reference to Figures 8A and 8B.
• Figure 6 shows exemplary results 600 of measurement and analysis according to the processes illustrated in Figures 4 and 5.
• the graph 602 illustrates an exemplary measured/retrieved waveform.
• the graph 604 is a corresponding frequency spectrum, obtained by performing a discrete Fourier transform (e.g. via the fast Fourier transform algorithm) of the retrieved waveform 602.
• components of the signal around the second harmonic peak 608 are extracted, and an inverse transform applied to obtain a corresponding second harmonic time-domain waveform 610.
• a final voltammogram waveform 612 is produced by determining the envelope of the second harmonic waveform 610.
• significant useful information regarding the analyte may be determined from the peaks of the voltammogram waveform 612, and in particular the integral of the waveform (i.e. IP value) is known to be correlated with analyte concentration.
• Parameters that may be varied in software include the form, timing and duration of the underlying time-varying voltammetric driving potential, and the amplitude and frequency of the superimposed AC perturbation.
• Characteristics of the physical configuration 200 that may be subject to variation include the dimensions and composition of the electrodes 104, 106, as well as values of the resistor 202 and capacitor 204.
• characteristics of the voltammetric cell 102 will typically be limited by availability. However, in some embodiments it may be practical to provide the user with control over the value of the resistor 202 and/or the capacitor 204, for example by an arrangement of switchable
• variable components such as a potentiometer in place of the resistor 202.
• Figure 7 shows a graph 700 illustrating the sensitivity of measurement as a function of AC perturbation amplitude and frequency.
• the horizontal axis 702 represents amplitude of the perturbation in millivolts, while the vertical axis 704 shows computed values of IP in arbitrary units. A number of sets of results are shown, each corresponding with a different frequency of AC perturbation.
• the curve 706 shows IP as a function of AC amplitude for a frequency of 90 Hz
• curve 708 shows equivalent results for a frequency of 190 Hz
• curves 710, 712, 714 show further results for frequencies of 290 Hz, 390 Hz, and 490 Hz respectively.
• a further consideration in relation to frequency selection is to minimise interference from readily anticipated external electromagnetic fields. At the frequencies of interest, these are primarily generated by mains power supplies, which typically operate at either 50 Hz or 60 Hz. It is therefore desirable to avoid AC perturbation at these frequencies, and at integer multiples of these
• FIGS 8A and 8B show calibration plots for different resistor values according to embodiments of the invention.
• the results shown in the graphs have been obtained using a test analyte of ferrocene carboxylic acid (FcCOOH) varying in concentration between zero and approximately 2.0 imM.
• the voltammetric cell 102 employed a glassy carbon working electrode 104 having a diameter of 1 mm, while the counter-electrode 106 was a coiled silver/silver chloride wire.
• the total measurement time (voltage ramp-up and ramp-down) was eight seconds for all measurements, and the AC perturbation frequency was 190 Hz, with amplitude 40 mV.
• the value of the capacitor 204 was fixed at 4.7 ⁇ .
• ferrocene derivative As will be appreciated by persons skilled in the art of electrochemical analysis, the use of a ferrocene derivative, as in the examples of Figures 8A and 8B, is not intended to be limiting. Rather, it will be apparent that any electroactive moiety may be similarly detected.
• embodiments of the invention may be employed to detect the products or reactants of enzyme substrate reactions, in the context of an enzyme based biosensor.
• ferrocene derivatives as labels in bioanalytical methods such as immunoassays and DNA-based detection.
• Figure 8A shows results for a value of the resistor 202 of 390 ⁇ .
• the horizontal axis 802 is concentration of the analyte, while the vertical axis 804 is the final IP in arbitrary units.
• Two separate graphs are shown, the upper graph 806 being results up to a concentration of approximately 1 .2 imM, while the lower graph 808 shows the full range of results up to 2.0 imM.
• the results 810 are close to linear, with a regression coefficient R 2 of 0.98194, and a slope of 179.5/mM.
• the full-range results 812 show, however, that the linear regime does not extend to higher concentrations.
• apparatus may be operated outside the linear regime by retaining the full calibration data, and/or by fitting a high-order function to the nonlinear results.
• a simple circuit comprising a resistor and a capacitor, can be used to measure the resulting current, and the effects of an AC perturbation in the applied potential waveform detected via a standard audio input of the mobile computing device.
• Second harmonic analysis of the detected signal may be employed to determine, e.g. concentration of the analyte. Display and/or further analysis of the second harmonic voltammogram are also possible.
• embodiments of the invention When combined with other low-cost components, such as screen- printed electrodes, embodiments of the invention create new opportunities for low-cost, instrument-free sensing, with important implications for healthcare within the developing world, remote communities, and other circumstances in which ready access to scientific testing equipment or facilities may not be available.
• mobile communications and computing devices such as smartphones, also have the capability of transmitting results directly to remote locations, such as storage servers, or desktop computers of medical practitioners.

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• 2017
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