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TELKOMNIKA, Vol.17, No.4, August 2019, pp.1838~1844
ISSN: 1693-6930, accredited First Grade by Kemenristekdikti, Decree No: 21/E/KPT/2018
DOI: 10.12928/TELKOMNIKA.v17i4.11985 ◼ 1838
Received December 6, 2018; Revised January 31, 2019; Accepted April 7, 2019
Characterization of excitation source LEDs and sensors
without filters for measuring fluorescence
in fluorescein and green leaf extract
Miguel Ángel Garrido Tamayo1
, Fredy Edimer Hoyos Velasco*2
,
John E. Candelo-Becerra3
1,2
Universidad Nacional de Colombia, Sede Medellín, Facultad de Ciencias, Escuela de Física,
Carrera 65 No. 59A-110, 050034, Campus Volador, Medellín, Colombia
3
Universidad Nacional de Colombia, Sede Medellín, Facultad de Minas,
Departamento de Energía Eléctrica y Automática,
Carrera 80 No. 65-223, Campus Robledo, Medellín, Colombia
*Correspoding author, e-mail: magarridot@unal.edu.co1
, fehoyosve@unal.edu.co2
,
jecandelob@unal.edu.co3
Abstract
This paper presents the characterization of excitation source LEDs and sensors without filters for
measuring fluorescence in fluorescein and green leaf extract. For this purpose, eight light-emitting diodes
(LEDs) were used with the following characteristics: one blue, one green, one red, one infrared, and four
violets. The first four LEDs were used as sensors without filters to detect fluorescence induced by the other
four violet LEDs in 11 samples of different fluorescein concentrations and in 14 samples of different
dilutions of green leaf extract. The results show that infrared LEDs can detect the red emission of green
leaf extract and red and infrared LEDs detect the fluorescence of fluorescein in concentrations of up to
1.8 μM. The developed system allows and facilitates teaching optical spectroscopy in basic education
without incurring high costs.
Keywords: chlorophyll, fluorescein, fluorescence, green leaf extract, light-emitting diode
Copyright © 2019 Universitas Ahmad Dahlan. All rights reserved.
1. Introduction
Fluorometers are sensitive equipment that can classify biological materials of medical or
agricultural importance by their fluorescent characteristics [1–9]. However, it is not easy to
access this equipment due to its high cost and it is necessary to utilize them in an economical
way starting from the research and characterization of materials obtained locally [5, 10, 11].
The design of low-cost fluorometers that improve the optical spectroscopy [12] of biological
materials teaching in basic education institutions or in scientific research is a gap we
must face [10, 13–15]. Currently, LED technology [16] as an excitation source has been
replacing lasers because they are cheap, have low current consumption, and are easy to
implement. All these characteristics make them ideal for the development of fluorometers in
schools, colleges, and universities. A proof of this is that in 2013, a fluorometer to measure
chlorophyll was built for less than $145 by using a 425 nm LED as an excitation source and a
red Roscolux filter in front of a photodiode receiver (PD) [17].
A slightly more sophisticated device was designed by Puiu and collaborators in 2015,
they developed a submersible to measure chlorophyll-a, oil, and protein material (tyrosine and
tryptophan) in natural waters by using ultraviolet (UV) LEDs at 280 nm and blue LEDs at 450
nm and a USB2000 + spectrometer as the detection system [18]. LEDs are not only used as an
excitation source but also as fluorescence sensors. The use of LEDs as sensors is not a new
technique; in 1992, a chip with an array of six LEDs was developed and implemented in a solar
photometer to measure atmospheric turbidity and precipitable water [19]. In 2005, Acharya
developed a solar photometer to measure variations of optical depth of the atmosphere using
three LEDs (red, yellow and green) as a detection system and demonstrated that the spectral
response of LEDs is oriented toward wavelengths of greater power [20].
Lau and collaborators in 2006 developed an optical device for colorimetric analysis
based on a light-emitting diode (LED) as the detector; the equipment was validated through
TELKOMNIKA ISSN: 1693-6930 ◼
Characterization of excitation source LEDs and sensors... (Miguel Ángel Garrido Tamayo)
1839
absorbance measurement with Bromocresol Green and then used to detect cadmium(II) and
lead (II) in water [21]. O'Toole and collaborators in 2007, by Malachite Green method used for
the determination of phosphate, implemented a detection system with a pair of LEDs: one as
the excitation source and the other for colorimetric detection [22]. A multi-color RGB LED
(emitting red at 625 nm, green at 527 nm, and blue at 460 nm) has been implemented to work
simultaneously as a light emitter for excitation and luminescence receptor in phosphor materials
(500–650 nm) [23]. In 2012, Pokrzywnicka and collaborators developed optoelectronic flow
detectors in miniature to determine photometrically and fluorometrically proteins such as
albumin and globulins [24]. Fiedoruk and collaborators in 2015 were able to detect phosphorus
in soils and calcium and phosphorus in human sera by using external fluorophores as markers,
inducing fluorescence with two green LEDs of 525 nm, and then detecting the fluorescence with
a red LED of 650 nm [25, 26]. In 2018, Fiedoruk et al. performed the photometric determination
of hemoglobin in human blood as well as fluorometric determination of quinine in tonics and
calcium ions in mineral waters using these dual LED systems [27].
All these works report the results of LED applications as excitation sources and light
sensors; however, none makes a detailed and simple characterization of the requirements for its
implementation, which as well as the fluorescence measurement of fluorescein and green leaf
extract (total chlorophyll), is the purpose of this work. Eight LEDs (one blue, one green, one red,
one infrared, and four violets) are used in the test, where the first four are used as sensors
without optical filters and the last four are used as the excitation source. To show this, section 2
presents the materials and methods, section 3 describes the results and analysis, and section 4
includes the conclusions.
2. Materials and Methods
2.1. Characterization of LEDs
Four LEDs of easy acquisition were used as sensors: infrared LED (IrLED), red LED
(rLED), green LED (gLED), and blue LED (bLED), all with transparent 5 mm encapsulation.
Four violet LEDs (vLEDs) were used as the excitation source. All LEDs were assembled in
a cuvette holder as shown in Figure 1 and placed in a black box to avoid interference by
external light. The emission spectra of the eight LEDs were obtained with a FLAME-S miniature
spectrometer from Ocean Optics at a diode current of 15 mA. Table 1 reports peak wavelengths
and bandwidths obtained for five types of LEDs (the four vLEDs presented the same spectrum).
Figure 1. Assembly of LEDs in cuvette holder
Table 1. Emission Spectra Details of Four
Sensor LEDs and Violet LED Used as
Excitation Sources
Type of LED
Wavelength
Peak (nm)
Bandwidth
(nm)
Infrared 780 33
Red 631 21
Green 521 37
Blue 457 23
Violet 400 18
To guarantee the emission spectrum of vLED, the wavelength shift was characterized at
25°C with respect to current changes in the LED using a Fluke 87VC multimeter. Figure 2 (a)
shows the results obtained and linear regression; it is possible to see that between 10 mA and
15 mA, the emission is maintained at 400±0.5 nm. Figure 2 (b) shows the emission spectrum of
the vLED at a current of 10 mA, which presents a width at half-height (FWHM) of 17.66 nm and
maximum emission at 399.45 nm.
Knowing the current and emission wavelength of the violet LED, irradiance was
measured according to voltage. For this, the current was adjusted to 15 mA and a pulse width
modulation (PWM) was made with an Arduino Pro Mini with ATmega328 microcontroller.
Irradiance was measured with a DeltaOhm HD 2302.0 radiometer. Figure 3 shows the near
linearity of average irradiance with respect to vLED voltage (linear regression R2=0.9999).
◼ ISSN: 1693-6930
TELKOMNIKA Vol. 17, No. 4, August 2019: 1838-1844
1840
(a) (b)
Figure 2. (a) Changes in vLED wavelength with changes in current and
(b) vLED emission spectrum
Given the above data, excitation LEDs were configured as follows: LED current 15 mA,
central wavelength 400.582 nm, and LED voltage 3.2 V, corresponding to an irradiance of
7.4 W/m2. Voltages generated by LEDs used as sensors were not amplified; they were read
directly by the analog-to-digital converter (ADC) of the PIC16F1937 microcontroller from
Microchip Inc., sent by Bluetooth to a cell phone (Free apps: BT Simple Terminal, for Android),
and processed in OriginPro 8. The irradiance of 400 nm LEDs can be calculated with (1) by
applying a PWM to the LED, where I is the irradiance and V is the voltage on the LED:
𝐼 = 2306.6 ∗ 𝑉 + 2.948 (1)
LEDs can have a spectral response thanks to the photoelectric effect, whose energy (𝐸) can be
written as in (2) [28], where ℎ is Planck’s constant, 𝜐 is the minimum frequency of radiation
(so there is a photoelectric effect), 𝜔 is the work function, and e𝑉0 is the maximum kinetic
energy of electrons.
𝐸 = ℎ𝜐 = e𝑉0 − 𝜔 (2)
In (1), it is observed that the energy of the incident photon is directly proportional to the radiation
frequency; therefore, lower-energy photons (a red LED of 630 nm, for example) do not induce
a photocurrent in a blue LED of 457 nm.
Figure 3. Average irradiance of vLED according to the voltage applied with a PWM
TELKOMNIKA ISSN: 1693-6930 ◼
Characterization of excitation source LEDs and sensors... (Miguel Ángel Garrido Tamayo)
1841
2.2. Extraction of green leaves
Green leaf extract was obtained from 0.5 g of green leaves in 10 mL of 96% ethanol
(CH3CH2OH) that was macerated and centrifuged (ROTOFIX 32A Hettich centrifuge) at
4,500 rpm for five minutes. The supernatant was filtered using filter paper (MUNKTELL
grade 391) with particle retention of 2–3 μm; this sample was diluted to 1:8, 192 to yield a total
of 14 samples. Chlorophyll concentration was not determined because the purpose was to
determine LED sensitivity in the detection of fluorescent radiation.
2.3. Preparation of fluorescein
For fluorescein, 11 samples of concentrations 602, 301, 150.5, 75.3, 37.6, 18.8, 10, 7.2,
5.4, and 1.8 μM were prepared in a solution of monopotassium phosphate (KH2PO4) and
dipotassium phosphate (K2HPO4) with a pH of 7.6. The fluorescence spectra of fluorescein as
shown in Figure 4 and green leaf extract as shown in Figure 5 were obtained with the same
spectrometer used to characterize the LEDs, which are in the green and red regions,
respectively. At the beginning of each measurement, readings of background noise and sample
blanks were obtained and subtracted from sample readings.
Figure 4. Fluorescent emission spectrum
of fluorescein
Figure 5. Fluorescent emission spectrum of
green leaf extract
3. Results and Analysis
Figure 6 shows four channels that measure the response of LEDs (x axis) to
the fluorescence of different dilutions of green leaf extract. It is clear that the LED that gave
a response with greater discrimination with respect to different dilutions of sample was IrLED,
whereas rLED, gLED, and bLED produced overlapping responses. Figure 7 shows
the response of IrLED to different dilutions of green leaf extract, detecting dilutions of 1:8, 192
with an IrLED voltage of 0.06 V without amplification. The voltage dropped below dilutions of
1:4, which could be related to the internal filter effect due to high chlorophyll concentrations in
the samples with dilutions 1:1 and 1:2.
Responses of the four LEDs to fluorescein are represented in Figure 8. This result
shows that LEDs that discriminate the best at different concentrations were rLED and IrLED;
the other two LEDs provided an overlapping response. Figure 9 shows the responses of RLED
and IrLED for different concentrations of fluorescein. These data show that at concentrations of
1.8 µM, RLED gives a voltage 0.2 V and IrLED gives a voltage of 0.038 V with no amplification.
Figure 10 shows that LEDs responding to different fluorescence have longer emission
wavelengths. That is why the LEDs, bLED, gLED, and rLED do not respond to the fluorescence
of green leaf extract (emission at 680 nm); however, IrLED, which is the least energetic, does.
On the other hand, for the fluorescence of fluorescein (emission at 520 nm), rLED and IrLED
respond, whereas bLED and gLED that corroborate the shift between the emission and the
spectral response of the LEDs do not [20]. Pseudo-replicates of the 11 fluorescein solutions
were made two days later to examine the stability of the readings. Figure 11 shows the high
reproducibility in the fluorescence detection of LEDs.
◼ ISSN: 1693-6930
TELKOMNIKA Vol. 17, No. 4, August 2019: 1838-1844
1842
Figure 6. Responses of four LEDs to red
fluorescence of green leaf extract
Figure 7. Response of IrLED to different
dilutions of green leaf extract
Figure 8. Responses of four LEDs to green
fluorescence of different fluorescein
concentrations
Figure 9. Responses of r LED and IrLED to
different dilutions of fluorescein
Figure 10. Fluorescent emission spectra of
samples under study and responding LEDs
Figure 11. Responses of red and far-red LEDS
to the repetition of measurements for
fluorescein samples
TELKOMNIKA ISSN: 1693-6930 ◼
Characterization of excitation source LEDs and sensors... (Miguel Ángel Garrido Tamayo)
1843
4. Conclusion
This paper presented the characterization of excitation source LEDs and sensors
without filters for measuring fluorescence in fluorescein and green leaf extract. The results show
that the more energetic the LED (shorter wavelength), the narrower its spectral response,
making it a built-in bandpass filter. This allows the use of LED sensors, which is an inexpensive
option for the development of fluorescence measuring equipment. A 780 nm emission LED can
be used as a fluorescence sensor of green leaf extract whose fluorescence could be related to
the total chlorophyll present in the leaf. LEDs with 631 nm (red) and 780 nm (IR) emissions can
be used as sensors of fluorescence for fluorescein, and with a suitable calibration to quantify it.
To achieve guaranteed readings at low concentrations, it is important to insert an adjustable
gain amplifier. It is also important to guarantee the LED current to keep the wavelength stable
when used as an excitation light source. A high concentration of fluorophores will have low
spectral response of LEDs due to the internal filter effect from the sample. Finally, the irradiance
of the LEDs can be calculated by using the equation that considers only the voltage applied
with a PWM.
Acknowledgments
This work was supported by the Universidad Nacional de Colombia, Sede Medellín,
under the projects HERMES-34671 and HERMES-36911. The authors thank the School of
Physics, the Soil Microbiology Laboratory of the Faculty of Agrarian Sciences, and
the Department of Electrical Energy and Automation of the Universidad Nacional de Colombia
for their valuable help in conducting this research.
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LED Fluorometer

  • 1. TELKOMNIKA, Vol.17, No.4, August 2019, pp.1838~1844 ISSN: 1693-6930, accredited First Grade by Kemenristekdikti, Decree No: 21/E/KPT/2018 DOI: 10.12928/TELKOMNIKA.v17i4.11985 ◼ 1838 Received December 6, 2018; Revised January 31, 2019; Accepted April 7, 2019 Characterization of excitation source LEDs and sensors without filters for measuring fluorescence in fluorescein and green leaf extract Miguel Ángel Garrido Tamayo1 , Fredy Edimer Hoyos Velasco*2 , John E. Candelo-Becerra3 1,2 Universidad Nacional de Colombia, Sede Medellín, Facultad de Ciencias, Escuela de Física, Carrera 65 No. 59A-110, 050034, Campus Volador, Medellín, Colombia 3 Universidad Nacional de Colombia, Sede Medellín, Facultad de Minas, Departamento de Energía Eléctrica y Automática, Carrera 80 No. 65-223, Campus Robledo, Medellín, Colombia *Correspoding author, e-mail: magarridot@unal.edu.co1 , fehoyosve@unal.edu.co2 , jecandelob@unal.edu.co3 Abstract This paper presents the characterization of excitation source LEDs and sensors without filters for measuring fluorescence in fluorescein and green leaf extract. For this purpose, eight light-emitting diodes (LEDs) were used with the following characteristics: one blue, one green, one red, one infrared, and four violets. The first four LEDs were used as sensors without filters to detect fluorescence induced by the other four violet LEDs in 11 samples of different fluorescein concentrations and in 14 samples of different dilutions of green leaf extract. The results show that infrared LEDs can detect the red emission of green leaf extract and red and infrared LEDs detect the fluorescence of fluorescein in concentrations of up to 1.8 μM. The developed system allows and facilitates teaching optical spectroscopy in basic education without incurring high costs. Keywords: chlorophyll, fluorescein, fluorescence, green leaf extract, light-emitting diode Copyright © 2019 Universitas Ahmad Dahlan. All rights reserved. 1. Introduction Fluorometers are sensitive equipment that can classify biological materials of medical or agricultural importance by their fluorescent characteristics [1–9]. However, it is not easy to access this equipment due to its high cost and it is necessary to utilize them in an economical way starting from the research and characterization of materials obtained locally [5, 10, 11]. The design of low-cost fluorometers that improve the optical spectroscopy [12] of biological materials teaching in basic education institutions or in scientific research is a gap we must face [10, 13–15]. Currently, LED technology [16] as an excitation source has been replacing lasers because they are cheap, have low current consumption, and are easy to implement. All these characteristics make them ideal for the development of fluorometers in schools, colleges, and universities. A proof of this is that in 2013, a fluorometer to measure chlorophyll was built for less than $145 by using a 425 nm LED as an excitation source and a red Roscolux filter in front of a photodiode receiver (PD) [17]. A slightly more sophisticated device was designed by Puiu and collaborators in 2015, they developed a submersible to measure chlorophyll-a, oil, and protein material (tyrosine and tryptophan) in natural waters by using ultraviolet (UV) LEDs at 280 nm and blue LEDs at 450 nm and a USB2000 + spectrometer as the detection system [18]. LEDs are not only used as an excitation source but also as fluorescence sensors. The use of LEDs as sensors is not a new technique; in 1992, a chip with an array of six LEDs was developed and implemented in a solar photometer to measure atmospheric turbidity and precipitable water [19]. In 2005, Acharya developed a solar photometer to measure variations of optical depth of the atmosphere using three LEDs (red, yellow and green) as a detection system and demonstrated that the spectral response of LEDs is oriented toward wavelengths of greater power [20]. Lau and collaborators in 2006 developed an optical device for colorimetric analysis based on a light-emitting diode (LED) as the detector; the equipment was validated through
  • 2. TELKOMNIKA ISSN: 1693-6930 ◼ Characterization of excitation source LEDs and sensors... (Miguel Ángel Garrido Tamayo) 1839 absorbance measurement with Bromocresol Green and then used to detect cadmium(II) and lead (II) in water [21]. O'Toole and collaborators in 2007, by Malachite Green method used for the determination of phosphate, implemented a detection system with a pair of LEDs: one as the excitation source and the other for colorimetric detection [22]. A multi-color RGB LED (emitting red at 625 nm, green at 527 nm, and blue at 460 nm) has been implemented to work simultaneously as a light emitter for excitation and luminescence receptor in phosphor materials (500–650 nm) [23]. In 2012, Pokrzywnicka and collaborators developed optoelectronic flow detectors in miniature to determine photometrically and fluorometrically proteins such as albumin and globulins [24]. Fiedoruk and collaborators in 2015 were able to detect phosphorus in soils and calcium and phosphorus in human sera by using external fluorophores as markers, inducing fluorescence with two green LEDs of 525 nm, and then detecting the fluorescence with a red LED of 650 nm [25, 26]. In 2018, Fiedoruk et al. performed the photometric determination of hemoglobin in human blood as well as fluorometric determination of quinine in tonics and calcium ions in mineral waters using these dual LED systems [27]. All these works report the results of LED applications as excitation sources and light sensors; however, none makes a detailed and simple characterization of the requirements for its implementation, which as well as the fluorescence measurement of fluorescein and green leaf extract (total chlorophyll), is the purpose of this work. Eight LEDs (one blue, one green, one red, one infrared, and four violets) are used in the test, where the first four are used as sensors without optical filters and the last four are used as the excitation source. To show this, section 2 presents the materials and methods, section 3 describes the results and analysis, and section 4 includes the conclusions. 2. Materials and Methods 2.1. Characterization of LEDs Four LEDs of easy acquisition were used as sensors: infrared LED (IrLED), red LED (rLED), green LED (gLED), and blue LED (bLED), all with transparent 5 mm encapsulation. Four violet LEDs (vLEDs) were used as the excitation source. All LEDs were assembled in a cuvette holder as shown in Figure 1 and placed in a black box to avoid interference by external light. The emission spectra of the eight LEDs were obtained with a FLAME-S miniature spectrometer from Ocean Optics at a diode current of 15 mA. Table 1 reports peak wavelengths and bandwidths obtained for five types of LEDs (the four vLEDs presented the same spectrum). Figure 1. Assembly of LEDs in cuvette holder Table 1. Emission Spectra Details of Four Sensor LEDs and Violet LED Used as Excitation Sources Type of LED Wavelength Peak (nm) Bandwidth (nm) Infrared 780 33 Red 631 21 Green 521 37 Blue 457 23 Violet 400 18 To guarantee the emission spectrum of vLED, the wavelength shift was characterized at 25°C with respect to current changes in the LED using a Fluke 87VC multimeter. Figure 2 (a) shows the results obtained and linear regression; it is possible to see that between 10 mA and 15 mA, the emission is maintained at 400±0.5 nm. Figure 2 (b) shows the emission spectrum of the vLED at a current of 10 mA, which presents a width at half-height (FWHM) of 17.66 nm and maximum emission at 399.45 nm. Knowing the current and emission wavelength of the violet LED, irradiance was measured according to voltage. For this, the current was adjusted to 15 mA and a pulse width modulation (PWM) was made with an Arduino Pro Mini with ATmega328 microcontroller. Irradiance was measured with a DeltaOhm HD 2302.0 radiometer. Figure 3 shows the near linearity of average irradiance with respect to vLED voltage (linear regression R2=0.9999).
  • 3. ◼ ISSN: 1693-6930 TELKOMNIKA Vol. 17, No. 4, August 2019: 1838-1844 1840 (a) (b) Figure 2. (a) Changes in vLED wavelength with changes in current and (b) vLED emission spectrum Given the above data, excitation LEDs were configured as follows: LED current 15 mA, central wavelength 400.582 nm, and LED voltage 3.2 V, corresponding to an irradiance of 7.4 W/m2. Voltages generated by LEDs used as sensors were not amplified; they were read directly by the analog-to-digital converter (ADC) of the PIC16F1937 microcontroller from Microchip Inc., sent by Bluetooth to a cell phone (Free apps: BT Simple Terminal, for Android), and processed in OriginPro 8. The irradiance of 400 nm LEDs can be calculated with (1) by applying a PWM to the LED, where I is the irradiance and V is the voltage on the LED: 𝐼 = 2306.6 ∗ 𝑉 + 2.948 (1) LEDs can have a spectral response thanks to the photoelectric effect, whose energy (𝐸) can be written as in (2) [28], where ℎ is Planck’s constant, 𝜐 is the minimum frequency of radiation (so there is a photoelectric effect), 𝜔 is the work function, and e𝑉0 is the maximum kinetic energy of electrons. 𝐸 = ℎ𝜐 = e𝑉0 − 𝜔 (2) In (1), it is observed that the energy of the incident photon is directly proportional to the radiation frequency; therefore, lower-energy photons (a red LED of 630 nm, for example) do not induce a photocurrent in a blue LED of 457 nm. Figure 3. Average irradiance of vLED according to the voltage applied with a PWM
  • 4. TELKOMNIKA ISSN: 1693-6930 ◼ Characterization of excitation source LEDs and sensors... (Miguel Ángel Garrido Tamayo) 1841 2.2. Extraction of green leaves Green leaf extract was obtained from 0.5 g of green leaves in 10 mL of 96% ethanol (CH3CH2OH) that was macerated and centrifuged (ROTOFIX 32A Hettich centrifuge) at 4,500 rpm for five minutes. The supernatant was filtered using filter paper (MUNKTELL grade 391) with particle retention of 2–3 μm; this sample was diluted to 1:8, 192 to yield a total of 14 samples. Chlorophyll concentration was not determined because the purpose was to determine LED sensitivity in the detection of fluorescent radiation. 2.3. Preparation of fluorescein For fluorescein, 11 samples of concentrations 602, 301, 150.5, 75.3, 37.6, 18.8, 10, 7.2, 5.4, and 1.8 μM were prepared in a solution of monopotassium phosphate (KH2PO4) and dipotassium phosphate (K2HPO4) with a pH of 7.6. The fluorescence spectra of fluorescein as shown in Figure 4 and green leaf extract as shown in Figure 5 were obtained with the same spectrometer used to characterize the LEDs, which are in the green and red regions, respectively. At the beginning of each measurement, readings of background noise and sample blanks were obtained and subtracted from sample readings. Figure 4. Fluorescent emission spectrum of fluorescein Figure 5. Fluorescent emission spectrum of green leaf extract 3. Results and Analysis Figure 6 shows four channels that measure the response of LEDs (x axis) to the fluorescence of different dilutions of green leaf extract. It is clear that the LED that gave a response with greater discrimination with respect to different dilutions of sample was IrLED, whereas rLED, gLED, and bLED produced overlapping responses. Figure 7 shows the response of IrLED to different dilutions of green leaf extract, detecting dilutions of 1:8, 192 with an IrLED voltage of 0.06 V without amplification. The voltage dropped below dilutions of 1:4, which could be related to the internal filter effect due to high chlorophyll concentrations in the samples with dilutions 1:1 and 1:2. Responses of the four LEDs to fluorescein are represented in Figure 8. This result shows that LEDs that discriminate the best at different concentrations were rLED and IrLED; the other two LEDs provided an overlapping response. Figure 9 shows the responses of RLED and IrLED for different concentrations of fluorescein. These data show that at concentrations of 1.8 µM, RLED gives a voltage 0.2 V and IrLED gives a voltage of 0.038 V with no amplification. Figure 10 shows that LEDs responding to different fluorescence have longer emission wavelengths. That is why the LEDs, bLED, gLED, and rLED do not respond to the fluorescence of green leaf extract (emission at 680 nm); however, IrLED, which is the least energetic, does. On the other hand, for the fluorescence of fluorescein (emission at 520 nm), rLED and IrLED respond, whereas bLED and gLED that corroborate the shift between the emission and the spectral response of the LEDs do not [20]. Pseudo-replicates of the 11 fluorescein solutions were made two days later to examine the stability of the readings. Figure 11 shows the high reproducibility in the fluorescence detection of LEDs.
  • 5. ◼ ISSN: 1693-6930 TELKOMNIKA Vol. 17, No. 4, August 2019: 1838-1844 1842 Figure 6. Responses of four LEDs to red fluorescence of green leaf extract Figure 7. Response of IrLED to different dilutions of green leaf extract Figure 8. Responses of four LEDs to green fluorescence of different fluorescein concentrations Figure 9. Responses of r LED and IrLED to different dilutions of fluorescein Figure 10. Fluorescent emission spectra of samples under study and responding LEDs Figure 11. Responses of red and far-red LEDS to the repetition of measurements for fluorescein samples
  • 6. TELKOMNIKA ISSN: 1693-6930 ◼ Characterization of excitation source LEDs and sensors... (Miguel Ángel Garrido Tamayo) 1843 4. Conclusion This paper presented the characterization of excitation source LEDs and sensors without filters for measuring fluorescence in fluorescein and green leaf extract. The results show that the more energetic the LED (shorter wavelength), the narrower its spectral response, making it a built-in bandpass filter. This allows the use of LED sensors, which is an inexpensive option for the development of fluorescence measuring equipment. A 780 nm emission LED can be used as a fluorescence sensor of green leaf extract whose fluorescence could be related to the total chlorophyll present in the leaf. LEDs with 631 nm (red) and 780 nm (IR) emissions can be used as sensors of fluorescence for fluorescein, and with a suitable calibration to quantify it. To achieve guaranteed readings at low concentrations, it is important to insert an adjustable gain amplifier. It is also important to guarantee the LED current to keep the wavelength stable when used as an excitation light source. A high concentration of fluorophores will have low spectral response of LEDs due to the internal filter effect from the sample. Finally, the irradiance of the LEDs can be calculated by using the equation that considers only the voltage applied with a PWM. Acknowledgments This work was supported by the Universidad Nacional de Colombia, Sede Medellín, under the projects HERMES-34671 and HERMES-36911. The authors thank the School of Physics, the Soil Microbiology Laboratory of the Faculty of Agrarian Sciences, and the Department of Electrical Energy and Automation of the Universidad Nacional de Colombia for their valuable help in conducting this research. References [1] Nelson N, Sander D, Dandin M, et al. Handheld Fluorometers for Lab-on-a-Chip Applications. IEEE Trans Biomed Circuits Syst. 2009; 3(2): 97–107. [2] Lambert P, Goldthorp M, Fieldhouse B, et al. Field fluorometers as dispersed oil-in-water monitors. J Hazard Mater. 2003; 102(1): 57–79. [3] Roesler C, Uitz J, Claustre H, et al. Recommendations for obtaining unbiased chlorophyll estimates from in situ chlorophyll fluorometers: A global analysis of WET Labs ECO sensors. Limnol Oceanogr Methods. 2017; 15(6): 572–585. [4] Earp A, Hanson CE, Ralph PJ, et al. Review of fluorescent standards for calibration of in situ fluorometers: Recommendations applied in coastal and ocean observing programs. Opt Express. 2011; 19(27): 26768–82. [5] Stanley PE. Commercially available fluorometers, luminometers and imaging devices for low-light level measurements and allied kits and reagents: survey update 6. Luminescence. 1999; 14(4): 201–213. [6] Sridhar A, Ramesh Babu DR, Pandya K, et al. Phase-resolved Fluorometer for Fluorescence Lifetime Measurements in the Human Eye. Mater Today Proc. 2019; 10: 16–19. [7] Lander ME, Lindstrom T, Rutishauser M, et al. Development and field testing a satellite-linked fluorometer for marine vertebrates. Anim Biotelemetry. 2015; 3(1): 40. [8] Schoepp NG, Ansari WS, Dallwig JA, et al. Rapid estimation of protein, lipid, and dry weight in microalgae using a portable LED fluorometer. Algal Res. 2015; 11: 108–112. [9] Bangare SL, Pradeepini G, Patil ST. Neuroendoscopy Adapter Module Development for Better Brain Tumor Image Visualization. International Journal of Electrical and Computer Engineering. 2017; 7(6): 3643-3654. [10] Wigton BT, Chohan BS, McDonald C, et al. A Portable, Low-Cost, LED Fluorimeter for Middle School, High School, and Undergraduate Chemistry Labs. J Chem Educ. 2011; 88(8): 1182–1187. [11] Hossain A, Canning J, Ast S, et al. Lab-in-a-Phone: Smartphone-Based Portable Fluorometer for pH Measurements of Environmental Water. IEEE Sens J. 2015; 15(9): 5095–5102. [12] Sucipto S, Anna M, Arwani M, et al. A rapid classification of wheat flour protein content using artificial neural network model based on bioelectrical properties. TELKOMNIKA Telecommunication Computing Electronics and Control. 2018; 17(2): 920–927. [13] Alam MW, Wahid KA, Goel RK, et al. Development of a low-cost and portable smart fluorometer for detecting breast cancer cells. Biomed Opt Express. 2019; 10(2): 399. [14] Zieger SE, Mistlberger G, Troi L, et al. Compact and Low-Cost Fluorescence Based Flow-Through Analyzer for Early-Stage Classification of Potentially Toxic Algae and in Situ Semiquantification. Environ Sci Technol. 2018; 52(13): 7399–7408. [15] Kim S-H, He Y, Lee E-H, et al. Portable Fluorometer for Cyanobacteria Detection. IEEE Sens J. 2017; 17(8): 2377–2384.
  • 7. ◼ ISSN: 1693-6930 TELKOMNIKA Vol. 17, No. 4, August 2019: 1838-1844 1844 [16] Chia KS, Tan YP. Design and Development of a Shortwave near Infrared Spectroscopy using NIR LEDs and Regression Model. International Journal of Electrical and Computer Engineering. 2017; 7(6): 3070. [17] Leeuw T, Boss E, Wright D. In situ Measurements of Phytoplankton Fluorescence Using Low Cost Electronics. Sensors. 2013; 13(6): 7872–7883. [18] Puiu A, Fiorani L, Menicucci I, et al. Submersible Spectrofluorometer for Real-Time Sensing of Water Quality. Sensors. 2015; 15(6): 14415–14434. [19] Mims FM. Sun photometer with light-emitting diodes as spectrally selective detectors. Appl Opt. 1992; 31(33): 6965. [20] Acharya YB. Spectral and emission characteristics of LED and its application to LED-based sun- photometry. Opt Laser Technol. 2005; 37(7): 547–550. [21] Lau K-T, Mc Hugh E, Baldwin S, et al. Paired emitter-detector light emitting diodes for the measurement of lead(II) and cadmium(II). Anal Chim Acta. 2006; 569(1-2): 221–226. [22] O’Toole M, Lau KT, Shepherd R, et al. Determination of phosphate using a highly sensitive paired emitter–detector diode photometric flow detector. Anal Chim Acta. 2007; 597(2): 290–294. [23] Lange V, Ribeiro F, Tews W, et al. Multicolor LED sensor. In: Berghmans. Proceedings of SPIE-The International Society for Optical Engineering. 2008. [24] Pokrzywnicka M, Tymecki Ł, Koncki R. Low-cost optical detectors and flow systems for protein determination. Talanta. 2012; 96: 121–126. [25] Fiedoruk-Pogrebniak M, Koncki R. Multicommutated flow analysis system based on fluorescence microdetectors for simultaneous determination of phosphate and calcium ions in human serum. Talanta. 2015; 144: 184–188. [26] Fiedoruk M, Cocovi-Solberg DJ, Tymecki Ł, et al. Hybrid flow system integrating a miniaturized optoelectronic detector for on-line dynamic fractionation and fluorometric determination of bioaccessible orthophosphate in soils. Talanta. 2015; 133: 59–65. [27] Fiedoruk-Pogrebniak M, Granica M, Koncki R. Compact detectors made of paired LEDs for photometric and fluorometric measurements on paper. Talanta. 2018; 178: 31–36. [28] Skoog D, Holler F, Nieman T. Principios de análisis instrumental. 5th ed. Madrid, España: McGraw-Hill. 2001.