Formaldehyde, as a carcinogenic substance, is often intentionally used to adulterate vegetables to increase their shelf life, and the adhesive tape used to attach labels can also leave formaldehyde on the surface of vegetables. However, as the "gold" standard, gas chromatography (GC) and high-performance liquid chromatography (HPLC) are expensive for individual tests and confined to the laboratory owing to their size and a suitable detector (low-cost, portable, fast detection speed) to check formaldehyde contamination in vegetables not being available. Here, we tested formaldehyde contamination in vegetables using a low-cost and hand-held detector combined with a screen-printed electrode (SPE) amperometric sensor and an open-sourced potentiostat. The analyzer can detect a concentration of 100 μmol/L formaldehyde and achieve a good linear range between 100 and 1000 μmol/L. Furthermore, the detector successfully identified formaldehyde contamination in 53 samples of six different kinds of vegetables even after residual formaldehyde on the surface was evaporated. Most importantly, under the practicability-oriented idea, a cost-effective strategy was implemented for this detector design rather than using other pricey methods (e.g., photolithography, electron-beam evaporation, chemical deposition), which enormously reduces the cost (under ∼USD 0.5 per test) and meets all of the requirements of ASSURED device. We believe this cheap, portable detector could help law-enforcing authorities, healthcare workers, and customers to screen formaldehyde contamination easily. Also, the cost-saving strategy is appropriate for low-income areas, where there is a lack of laboratories, funds, and trained experts.
Formaldehyde, as a carcinogenic substance, is often intentionally used to adulterate vegetables to increase their shelf life, and the adhesive tape used to attach labels can also leave formaldehyde on the surface of vegetables. However, as the "gold" standard, gas chromatography (GC) and high-performance liquid chromatography (HPLC) are expensive for individual tests and confined to the laboratory owing to their size and a suitable detector (low-cost, portable, fast detection speed) to check formaldehyde contamination in vegetables not being available. Here, we tested formaldehyde contamination in vegetables using a low-cost and hand-held detector combined with a screen-printed electrode (SPE) amperometric sensor and an open-sourced potentiostat. The analyzer can detect a concentration of 100 μmol/L formaldehyde and achieve a good linear range between 100 and 1000 μmol/L. Furthermore, the detector successfully identified formaldehyde contamination in 53 samples of six different kinds of vegetables even after residual formaldehyde on the surface was evaporated. Most importantly, under the practicability-oriented idea, a cost-effective strategy was implemented for this detector design rather than using other pricey methods (e.g., photolithography, electron-beam evaporation, chemical deposition), which enormously reduces the cost (under ∼USD 0.5 per test) and meets all of the requirements of ASSURED device. We believe this cheap, portable detector could help law-enforcing authorities, healthcare workers, and customers to screen formaldehyde contamination easily. Also, the cost-saving strategy is appropriate for low-income areas, where there is a lack of laboratories, funds, and trained experts.
In
a country with a large population like China, people consume
a gigantic number of fresh vegetables every day. To increase their
shelf life, vegetables are often intentionally adulterated with formaldehyde.[1,2] Formaldehyde is classified by the International Agency for Research
on Cancer (IARC) in Group I as being carcinogenic to humans.[3] Consuming vegetables or fruit that are contaminated
with formaldehyde may cause serious health issues including vomiting,
pain, or even coma,[4] which have a detrimental
impact on the health of a population, especially children.[5] In the European Union, daily exposure to formaldehyde
from food of animal and plant origin should be no more than 100 mg/kg,
and formalin adulteration is strictly forbidden in China.[6] Many methods have been investigated to detect
formaldehyde, and most of them serve as powerful tools in formaldehyde
detection. Chromatography is the “gold” standard for
formaldehyde testing,[7−9] but it is costly (e.g., ∼50 USD per sample
in China) and time-consuming with results being obtained typically
after 10 days from the external testing facility. Fourier transform
infrared spectroscopy, which requires less detection time and achieves
good accuracy, is confined to the laboratory, and trained experts
are needed to perform the test. Formaldehyde can be detected based
on a colorimetric reaction where sample distillates are mixed with
sulfuric acid yielding a purple color if formaldehyde is present.
The colorimetric sensors with a portable size are sensitive to formaldehyde
and have proven their efficiency in formaldehyde detection. However,
colorimetric sensors prefer ambient relative humidity less than 95%,
and the measurement results are sensitive to detection time. Also,
because naked eye evaluation of color change is prone to error, spectral
detection technology or a digital camera and a flat panel scanner
are often employed for color recognition.[10,11]Formaldehyde can be also quantified with compact and money-consuming
gas sensors, such as metal oxide semiconductor (MOS) sensors that
detect formaldehyde in ambient air,[12−16] but the result can be unreliable owing to its cross-sensitivity
and response to changes in ambient humidity.[17] As a method that has found significant success for point-of-care
(POC) testing and has become the “gold” standard for
monitoring glucose levels in the blood, electrochemical sensors have
been widely used in wearable electronics,[18−21] POC disease screening,[22,23] and detection of bacterial foodborne pathogens.[24−26] Complex equipment,
such as microlithography-aided manufacture,[27] chemical deposition,[28] electron-beam
evaporator,[29] etc., have always been used
to manufacture the sensors′ sensing part. However, according
to the recent evaluation by the United Nations (UN), ∼10% of
the world’s population (700 million) lives below the international
poverty line of USD 1.90 per day.[30] Therefore,
sophisticated instruments in a clean room with trained technicians
are unaffordable and less feasible for those below the poverty line.
Thus, cost-saving, portable, and easy-to-make formaldehyde detectors
are urgently needed by consumers, distributors, and authorities (for
example, police and administrators) to screen such toxic vegetables.
The World Health Organization (WHO) has set the criterion for evaluating
POC devices, and these instruments should contain the following characteristics:
affordability, sensitivity, specificity, user-friendliness, rapidity/robustness,
equipment-free (portability), and deliverability to end users (ASSURED).
Many studies have demonstrated powerful tools in formaldehyde detection,[31−39] such as chromatography, which has a good low detection limit, and
colorimetric sensors and biosensors, which are portable and sensitive
to formaldehyde. But considering the requirements of the ASSURED device,
the process and cost of sensor manufacture still need improvement
to fulfill the requirements of low-income areas (Figure ).
Figure 1
Concept of the amperometric sensor: (a) microstructure of the working
electrode, (b) morphology characterization of the platinum working
electrode, (c) cross-sectional SEM image of the working electrode;
the film thickness of the platinum electrode is around 2.7 μm,
(d) EPMA elemental (Pt and Al) mapping images of the sensing film,
(e) the process used to fabricate sensors, and (f) details of the
amperometric sensor with a 4 cm length and a 1 cm width.
Concept of the amperometric sensor: (a) microstructure of the working
electrode, (b) morphology characterization of the platinum working
electrode, (c) cross-sectional SEM image of the working electrode;
the film thickness of the platinum electrode is around 2.7 μm,
(d) EPMA elemental (Pt and Al) mapping images of the sensing film,
(e) the process used to fabricate sensors, and (f) details of the
amperometric sensor with a 4 cm length and a 1 cm width.Here, we report a pocket-sized device that enables detection
of
formaldehyde adulteration in vegetables, which can be fabricated with
basic tools and skills through a quick and easy do-it-yourself (DIY)
process from cheap, readily available materials. This device is based
on the requirements of the ASSURED device. With a formaldehyde concentration
detection limit of 100 μmol/L, the POC detector in this article
makes the immediate analysis and the accurate screening of formaldehyde
possible. Furthermore, the easy-to-make and practicability-oriented-idea-based
POC detector design and construction ensure the ultralow feedstock
cost of ∼USD 0.5 per testing in combination with a reusable
open-sourced potentiostat called Openstat costing ∼USD 5. A
detailed comparison between our work and serval formaldehyde detectors
based on requirements of the ASSURED device is shown in Supporting Information I.
Results
and Discussion
Voltammetry Responses to
Formalin
CompactStat.h (IVIUM, Co., Ltd, the Netherlands)
was used to perform
cyclic voltammetry (CV) to study the electrochemical behavior of formaldehyde.
The performance of the amperometric sensor was monitored using different
analyte solutions. Results show that there is a good distinction between
formaldehyde contamination and NaOH solution. Figure a shows the representative current responses
of formaldehyde in 0–1000 μM solutions. The overall reaction
of formaldehyde in alkaline solution has been widely studied.[40−43] The reaction mechanism of formaldehyde can be complex and depends
on many factors, including sensitive materials and the Pt electrode
structure, the properties of the electrolyte, and the electrode/electrolyte
interface. Figure a gives the CV curves of the amperometric sensor of different HCHO
concentrations in NaOH. Oxidation and reduction peaks can be clearly
observed in the potential range of −0.4 to 0.7 V. During the
forward scan, Pt–OHads was formed and led to a quick
increase of current.[44] Based on the results
of the CV study and previous reports,[45−47] the sensing mechanism
of formaldehyde oxidation is presented in detail. Formaldehyde can
be oxidized to COads (pathway 1). This path involves a
reactive intermediate and adsorbed COads as a poisoning
species, which in turn must be removed by reacting with OHads. In the other pathway, formaldehyde is oxidized to CO2 directly (pathway 2).Figure d shows that both the oxidation
and reduction peak currents
at E = 0.15 V have a good linear relationship with
the square root of the scan rate. This proves that the reaction is
a diffusion-controlled process, and this is the linear relationship
that we expect. One can easily note that a linear relationship between
current and analyte concentrations with a lower detection limit for
formaldehyde of 100 μM concentration can be found at potential E = 0.15 V as shown in Figure b. Also, the relative response shown below
was employed to improve the consistency of the amperometric sensorwhere IR indicates
the relative response, I is the sensor′s current
in an individual test, and IB is the baseline
of the sensor. Also, it can be found that the sensor current value
is slightly larger (1.5–2.5 times greater) than those without
formaldehyde. According to this behavior, one can accurately tell
whether the solution contains formaldehyde.
Figure 2
Characterization of the
amperometric sensor. (a) Sensor response
curves to formalin using cyclic voltammograms at different concentrations,
(b) associated linearity curves at E = 0.15 V for
different concentrations, (c) linear fitting plot with the relative
response of sensors; the effect of baseline drift is reduced using
the relative response to improve the sensor′s consistency,
and (d) analysis of SPE at scan rates ranging from 50 to 750 mV/s
and linear fits of the oxidized peak current (Ipa) and reduced peak current (Ipc), indicating that the reaction of the electrode is a diffusion-controlled
surface reaction. (e) Reproducibility of each sensor in the presence
of HCHO and (f) specificity of the SPE sensor against four interferents
in formalin (CH3OH, HCOOH, H2O, CO32–).
Pathway 1:Pathway 2:Characterization of the
amperometric sensor. (a) Sensor response
curves to formalin using cyclic voltammograms at different concentrations,
(b) associated linearity curves at E = 0.15 V for
different concentrations, (c) linear fitting plot with the relative
response of sensors; the effect of baseline drift is reduced using
the relative response to improve the sensor′s consistency,
and (d) analysis of SPE at scan rates ranging from 50 to 750 mV/s
and linear fits of the oxidized peak current (Ipa) and reduced peak current (Ipc), indicating that the reaction of the electrode is a diffusion-controlled
surface reaction. (e) Reproducibility of each sensor in the presence
of HCHO and (f) specificity of the SPE sensor against four interferents
in formalin (CH3OH, HCOOH, H2O, CO32–).The selectivity of amperometric
sensors is crucial because various
chemicals in formalin may influence the accuracy of the sensor readings. Figure f shows that the
presence of other interferents in formalin causes negligible interference
to the response of the sensor, which maintains the excellent selectivity
of formaldehyde. Also, the interface from the vegetables itself also
has been studied. We compared the current value between clean vegetable
samples and samples after formaldehyde treatment, as shown in Supporting
Information Figures S11 and S12. Six vegetables
without formalin adulteration are examined (12 samples in total).
One can easily see that the current of samples without formalin treatment
is similar to the current in the blank electrolyte solution as a relative
response close to 1. As we know, some vegetables contain natural formaldehyde,
for example, some kinds of mushrooms.[48] However, we focus on the detection of formaldehyde itself because
we believe it is harmful to human health. Users can also employ our
sensor to detect whether a specific kind of vegetable contains natural
formaldehyde or not.The reproducibility and stability of sensors
were also characterized
as shown in Figure e. A short-term 120 min repeatability measurement with 150 times
successive transient response to formaldehyde (400 μM) was performed
as shown in Figure . One can note that the response of the sensor was steady with all
of the CV curves almost coinciding. It can be found that the sensor
response presented a standard deviation (SD) of 0.327 μA and
a relative standard deviation (RSD) of 0.496% over 150 cycles at E = 0.15 V. The kinetics of the electrode was investigated
by analyzing the effects of the scan rate on the peak of the redox
current. The electrochemical performance was tested in a 400 μM
formaldehyde ferricyanide solution, with scan rates ranging from 50
to 750 mV/s. Maximal current values of the redox (Ipa and Ipc) reaction increased
linearly with R2 = 0.99 on increasing
the scan rate. In addition, the voltage width between redox peaks
became wider and wider (Figure d). Based on these results, a linear fit was performed about
the oxidation peak (Ipa) and reduction
(Ipc) peak currents related to the square
root of the scan rate (v1/2). The ultimate
linear equations were determined to be Ipa = 13.41v1/2 – 87.74 and Ipc = −20.24v1/2 + 104.12 (Figure d). The results from this liner fit demonstrate that the electrochemical
signal was the result of a diffusion-controlled surface reaction.
Design of Openstat and Validation of the Formaldehyde
Detector from Vegetable Samples
As shown above, at a potential
of 0.15 V (vs Ag), the current value of the sensor in response to
a formaldehyde-contaminated solution is usually 1.5–2.5 times
higher than the baseline. The threshold of formaldehyde adulteration
is whether the relative response of the sensor can achieve current
1.25 times larger than that in the NaOH solution at potential E = 0.15 V. Oxidation and reduction peaks can be easily
observed in the CV plot if the sample is contaminated with formaldehyde
(as shown in Figure a). Thus, we found that at potential E = 0.15 V,
the response current of the sensor can achieve good linearity. When
the current of the sensor is 1.25 times higher than the average of
the baseline current, it can be considered as formaldehyde-adulterated.
The current value and the alert of adulteration are displayed on the
app. Meanwhile, a light-emitting diode (LED) on the circuit board
of Openstat lights up.To verify the reliability of our sensor
in an actual-use scenario, 24 vegetable samples from six different
kinds of vegetables, lettuce, leaf lettuce, cabbage, Chinese cabbage,
rapeseed, and purple cabbage, were obtained. Figure a,b illustrates the sample preparation process
and different vegetables used in this study. Briefly, 18 groups of
samples were randomly adulterated with formaldehyde using this method,
and the remaining six groups are blank control groups. As shown in
Supporting Information Figure S6, high-performance
liquid chromatography (HPLC) was employed to verify the formaldehyde
in vegetables. In the presence of formaldehyde, the current value
of the amperometric sensor is 1.25 times higher than its baseline
(at E = 0.15 V); therefore, with a threshold of 1.25
(relative response), our sensor successfully detected all contaminated
vegetables even when there was no residual liquid on the surface of
the vegetables, making it an effective tool in market supervision
and large-scale screening.
Figure 3
Performance in real contaminated vegetable samples.
(a) Process
of preparing contaminated vegetable samples: first, fresh vegetables
were cut into 1 cm2 pieces, four pieces were as taken as
a group and each group was soaked in formalin for 5 min, each set
of samples was allowed to dry for 60 min to simulate the use of formaldehyde
in the market to keep fresh vegetables, and then electrochemical sensors
that we fabricated were used to detect these vegetable samples. (b)
Vegetable samples used in the test: (i) cabbage, (ii) Chinese cabbage,
(iii) rapeseed, (iv) lettuce, (v) leaf lettuce, and (vi) purple cabbage.
(c) Bar diagram showing the relative responses of the sensor for 24
vegetable samples, and the dashed line shows the threshold (1.25 times
larger than the baseline current).
Performance in real contaminated vegetable samples.
(a) Process
of preparing contaminated vegetable samples: first, fresh vegetables
were cut into 1 cm2 pieces, four pieces were as taken as
a group and each group was soaked in formalin for 5 min, each set
of samples was allowed to dry for 60 min to simulate the use of formaldehyde
in the market to keep fresh vegetables, and then electrochemical sensors
that we fabricated were used to detect these vegetable samples. (b)
Vegetable samples used in the test: (i) cabbage, (ii) Chinese cabbage,
(iii) rapeseed, (iv) lettuce, (v) leaf lettuce, and (vi) purple cabbage.
(c) Bar diagram showing the relative responses of the sensor for 24
vegetable samples, and the dashed line shows the threshold (1.25 times
larger than the baseline current).The result in Figure c is performed by an electrochemical workstation (CompactStat.h),
which is also confined to the laboratory and expensive. To further
reduce the cost of each test and improve on-site inspection capabilities,
an open-sourced potentiostat was developed to perform the test. Figure a,b illustrates the
system-level overview of the signal transduction, conditioning, and
processing paths to facilitate measurements. With a printed circuit
board (PCB) of size 5 cm × 4 cm, the signal conditioning path
for the amperometric sensor is implemented with analog circuits and
in relation to the corresponding transduced signal. The circuits are
configured to ensure that the final analog output of the amperometric
sensor in the formaldehyde test is finely resolved while staying within
the input voltage range of the analog-to-digital converter (ADC).
Also, a square wave was generated by the digital-to-analog converter
(DAC) to perform the CV test, and a low-pass digital filter was used
to improve the quality of this signal. Furthermore, the microcontroller’s
computational and serial communication capabilities are used to compensate
and relay the conditioned signals to a PC. The data of each test can
be analyzed on a PC, and an LED is used to indicate the presence of
formaldehyde in the test sample. To validate the reliability of Openstat,
cyclic voltammetry of 100–1000 μM formaldehyde solution
was performed by Openstat, as shown in Figure c, and good linearity (R2 = 0.99) can be found at a potential of E = 0.15 V. Further, we directly calibrate the formaldehyde concentration
determined by Openstat and a benchtop workstation (CompactStat.h)
on the same set of samples with unknown formaldehyde solutions with
concentrations ranging from 100 to 1000 μM. As shown in Figure d, two sets of formaldehyde
concentrations were well correlated, with R2 = 0.956 at E = 0.15 V (vs Ag). These results validated
the reliability and applicability of Openstat as a portable electrochemical
analyzer. Finally, 29 vegetable samples from the six different vegetables
mentioned above were obtained, with a detection threshold of 1.25
(relative response). Our POC formaldehyde detector composed of amperometric
sensors and Openstat successfully detected all samples contaminated
with formalin. The formaldehyde detector price is the main factor
when assessing its applicability for the potential mass screening
of vegetables. By following a simplicity- and practicability-oriented
strategy (screen printing, large-equipment-free, easy manufacture),
rather than any costly method (e.g., photolithography/electron-beam
evaporation), the feedstock cost per detector was enormously reduced
and became affordable in low-income areas. The feedstock cost for
each examination (i.e., one amperometric sensor) and one reusable
Openstat is ∼USD 0.08 and ∼USD 2.47, respectively, demonstrating
an ultralow price for large-scale screening and quality control by
police and administrators, as well as high suitability for resource-poor
conditions where there is a lack of sophisticated instruments, clean
rooms, funds, and highly trained technicians.
Figure 4
Characterization of the
portable device. (a) Photograph of the
whole POC sensor package and (b) the labeled PCB diagram of the device
used for formalin contamination analysis: (1) multipoint control unit
(MCU) for signal produce and data process, (2) power supplies provide
1.2 and 3.3 V voltage, (3) low-pass digital filter, (4) operational
amplifier, (6) control amplifier, and (5) transimpedance amplifier.
(c) Cyclic voltammograms and the linear fitting plot (inset) at different
concentrations using the portable device. (d) Validation of the portable
device: the linear correlation between the concentrations of formalin
detected by the portable device and benchtop station. (e) Relative
responses of the sensor with the portable device for 29 vegetable
samples (six fresh, 23 contaminated); the dashed line shows the threshold
(1.25 times larger than the baseline current).
Characterization of the
portable device. (a) Photograph of the
whole POC sensor package and (b) the labeled PCB diagram of the device
used for formalin contamination analysis: (1) multipoint control unit
(MCU) for signal produce and data process, (2) power supplies provide
1.2 and 3.3 V voltage, (3) low-pass digital filter, (4) operational
amplifier, (6) control amplifier, and (5) transimpedance amplifier.
(c) Cyclic voltammograms and the linear fitting plot (inset) at different
concentrations using the portable device. (d) Validation of the portable
device: the linear correlation between the concentrations of formalin
detected by the portable device and benchtop station. (e) Relative
responses of the sensor with the portable device for 29 vegetable
samples (six fresh, 23 contaminated); the dashed line shows the threshold
(1.25 times larger than the baseline current).
Conclusions
In conclusion, we present an
easy-to-make, low-cost, simple-to-use,
and reliable formaldehyde detector that can be readily used by consumers,
distillers, and law-enforcing authorities for easy formaldehyde contamination
screening. This modular design could also be applied for electrochemical
education and other uses. Affordable detectors are particularly attractive
for widely distributed use, especially in low-income economies where
food safety is a concern. In the next step, we will further lower
system costs, improve the detector′s sensitivity and reliability,
reduce the size of the detector using microfluid chips and modified
electrodes, and perform larger-scale tests in actual-use environments.
Experimental Section
Synthesis of the Amperometric
Sensor
To fit all of the conditions of the ASSURED device,
the sensor was
designed from the point of the most convenient manufacturing that
is cost-effective, can be made from common materials, and the sintering
furnace is the only equipment needed to manufacture this sensor. Also,
the cost of each sensor is less than USD0.5, which makes it more practical
to use in low-income countries. Figure explains the concept of the amperometric sensor and
its fabrication process. Platinum (Pt) and silver (Ag) were screen-printed
onto the ceramic substrate. A typical process is shown in Figure e: first, the ceramic
substrate was cut into a small size, as shown in Figure f, then Pt is used to print
the working electrode (WE) and counter electrode (CE) on the substrate
and annealed in air at 850 °C for 10 min. Next, printed Ag is
used as the reference electrode (RE) and conductor. Finally, the waterproof
glass is printed onto the Ag wire and heated via calcination at 500
°C for 10 min. After overnight curing at room temperature, fine
emery paper was used to abrade the top surface of the three electrodes,
removing the oxide layer formed during sintering. The scanning electron
microscopy (SEM) images of the surface and cross-sectional view of
the working electrode are shown in Figure . The surface morphology of the working electrode
and the counter electrode is presented (check Supporting Information Figure S1 for the SEM image of the reference
electrode), and according to the X-ray diffraction (XRD) pattern (in
Supporting Information Figure S2), the
major phases of the WE are metallic Pt (PDF # 87-0646) and α-Al2O3 (PDF # 82-1399), which is the main constituent
of ceramic substrates. Diffraction peaks of the material are relatively
sharp, which indicates that the crystallinity of the prepared material
is relatively high. The diffraction peaks appearing at 39.95, 46.41,
and 67.67° are the same as those of Pt (PDF # 87-0646), and peaks
at 39.796, 46.283, and 67.53° are consistent with those of α-Al2O3 (PDF # 82-1399). The cross-sectional scanning
electron microscopy (SEM) image of the amperometric sensor shows the
Pt sensing film (thickness: 2.7 μm) (Figure c). The thicknesses of the sensing layer
in all of the sensors were similar. The electron probe microanalysis
(EPMA) elemental mapping results show that the Pt component is uniformly
distributed throughout the Al2O3 substrate,
whereas the components are located only in the overlayer. The amperometric
sensor can be fabricated by a quick and easy three-step method. The
details of the sintering furnace, conductive metal paste, the layout
of electrodes, and equipment for performing SEM and XRD are provided
in the Supporting Information.
Sample Preparation
To demonstrate
our sensor design, amperometric sensor prototypes were fabricated
and the sensing performances were characterized. First, the performance
of detecting formaldehyde concentration in water was verified. Sodium
hydroxide (NaOH) was added to the water as an electrolyte material,
2 mL of NaOH solution (2 mol/L) was mixed with 38 mL of deionized
water to dilute to a 0.1 mol/L NaOH solution. Different concentrations
of formaldehyde were added into the sodium hydroxide solution using
a pipette. Second, as shown in Figure a,b, six common vegetables (cabbage, rapeseed, lettuce,
Chinese cabbage, leaf lettuce, and purple cabbage) were bought from
Wumei Supermarket (Beichen district Tianjin, China), and each was
cleaned under running water. Next, the six vegetables were cut into
small pieces with a 1 cm × 1 cm size to make sure each set of
samples had a similar surface area. Four pieces from the same vegetable
were taken as a group, and each group was sprayed with different concentrations
of formaldehyde (0.01 and 0.05 mol/L). It should be noticed that the
sample preparation process in laboratory tests is complicated because
a control variable method is employed to make sure that the response
is caused by formaldehyde and has nothing to do with the shape or
size of the vegetables. In a large-scale screening scenario, if the
user does not have to accurately measure the concentration of formaldehyde
in vegetables, any size or shape can be cut for measurement. Then,
the procedure of sample preparation and test could be greatly simplified
for practical use. After that, each group was placed in a fume cupboard
for 60 min (ensuring that all of the liquid on the surface of the
vegetables evaporates) to simulate the process of unscrupulous vendors
intentionally adulterating using formaldehyde. For the electrochemical
test, the samples were placed in a beaker with 40 mL of 0.1 mol/L
NaOH solution. A holder (see Supporting Information G for details) containing the amperometric sensor and our open-sourced
low-cost potentiostat Openstat was placed above the beaker to make
sure that the amperometric sensor was inserted vertically into the
solution, keeping the solution just submerged through the electrode
region for electrochemical analysis. Before each test, calibration
was executed. First, the sensor′s sensing electrode was placed
in the NaOH solution, and cyclic voltammetry (CV) measurement was
performed to obtain the baseline value. Then, the vegetable sample
was placed in the beaker, and the CV measurement was performed again.
The relative response was calculated with two results. The measurement
of baseline current can be seen as a calibration procedure. Thus,
zero calibration was performed before each test, and for practical
usage, a screen of formaldehyde is acceptable. Cyclic voltammetry
(CV) was performed during the test with a scan rate of 50 mV/s ranging
from −0.4 to 0.7 V. All of the data was sent to a PC through
a universal serial bus (USB) cable and simultaneously transferred
to a mobile app through an IoT platform known as Blynk (detailed information
can be found in Supporting Information K: Schematic review of Openstat).
Authors: Daniel P Rose; Michael E Ratterman; Daniel K Griffin; Linlin Hou; Nancy Kelley-Loughnane; Rajesh R Naik; Joshua A Hagen; Ian Papautsky; Jason C Heikenfeld Journal: IEEE Trans Biomed Eng Date: 2014-11-11 Impact factor: 4.538
Authors: Alastair C Lewis; James D Lee; Peter M Edwards; Marvin D Shaw; Mat J Evans; Sarah J Moller; Katie R Smith; Jack W Buckley; Matthew Ellis; Stefan R Gillot; Andrew White Journal: Faraday Discuss Date: 2016-07-18 Impact factor: 4.008