A portable, low-cost, smartphone assisted methodology for on-site measurement of NO2 levels in ambient air by selective chemical reactivity and digital image analysis

Cerrato-Alvarez, Maria; Frutos-Puerto, Samuel; Arroyo, Patricia; Miró-Rodríguez, Conrado; Gil, Eduardo Pinilla

doi:10.1016/j.snb.2021.129867

Cited by 17 publications

(10 citation statements)

References 36 publications

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“…30 It is noteworthy that the precision of PiSENS-A (RSD% = 2.85%) is comparable to the ones from recently reported similar devices e.g. portable active samplers reported by Subba et al (RSD% = 3.6%), 42 Tian et al (RSD% = 4.1%), 31 Cerrato-Alvarez et al (RSD% = 9%), 29 passive samplers developed by Felix et al (3.4 < RSD% > 7.2%), 43 or passive microsamplers developed by Passaretti Filho et al (RSD% = 6.9%). 32 Further comparisons of analytical characteristics between several relevant methods and PiSENS-A are given in ESI Table SI1 †…”

Section: Resultssupporting

confidence: 84%

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Portable, low-cost, Raspberry Pi-based optical sensor (PiSENS): continuous monitoring of atmospheric nitrogen dioxide

et al. 2023

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Section: Resultssupporting

confidence: 84%

“…Some devices are portable and can be applied at the POC but in two steps: sample collection and then colour analysis. [28][29][30] In other cases, they are devices with high spatio-temporal resolution [31][32][33] but with recurring issues with precision and reliance on expensive instrumentation for data acquisition and transmission.…”

Section: Introductionmentioning

confidence: 99%

Portable, low-cost, Raspberry Pi-based optical sensor (PiSENS): continuous monitoring of atmospheric nitrogen dioxide

et al. 2023

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“…( 2). [7][8][9] Then a standard curve with respect to Log (G s /G b ) versus the target content can be easily established.…”

Section: Procedures For Arc Quantification Based On Reflectance By Uv...mentioning

confidence: 99%

“…[3,47] Of particular interest is the flexible and easy-to-use colorimetric sensor based on measuring the absorbance and color change with the aid of photodetectors. Moreover, colorimetric methods developed with smartphones for digital images have been applied to determine ozone and nitrogen dioxide, [24,8,9] glucose and cholesterol, [26] pH values. [31] Instead of sophisticated instruments such as spectrophotometer, the smartphone-based reader provides a facile and cost-effective platform for accurate quantification.…”

Section: Introductionmentioning

confidence: 99%

A Portable and Smartphone-Based Plasmonic System for On-Site Measurement of Airborne Redox-Active Compounds by Light-Initiated Redox Reaction

Yu¹,

Qiu²,

Zhao³

et al. 2022

SSRN Journal

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“…Smartphones have different sensors, such as photo and video cameras, microphones, GPSs, or accelerometers. The rich endowment of sensors integrated into cell phones presents the opportunity to use these appliances (gadgets) to develop sensors systems [31][32][33] suitable to monitor areas as different as the environment [34], traffic [35], or human health [36], among others.…”

Section: Introductionmentioning

confidence: 99%

Measurement of the Speed of Induction Motors Based on Vibration with a Smartphone

et al. 2022

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Induction motors are key pieces of equipment in today’s society, powering a variety of industrial drives and home appliances. The induction motor speed is often used to monitor the performance of all kinds of industrial drives. For example, in the industrial field, the motor speed is very often used to determine the efficiency and mechanical load of motors. In this work, a new simple, low-cost, and nonintrusive procedure is proposed for infield measurement of induction motors speed, which is based on the spectral analysis of the vibration signal of the motors. The motor vibration signal is first acquired using the accelerometers integrated into a basic phone. The acquired signal is then treated by a MATLAB-based algorithm, which can determine the motor speed by identifying the mechanical frequency of the rotor shaft from the harmonic content of the vibration signal. In this way, it is shown that the mechanical frequency corresponding to the speed of rotation of the motors can be acquired by means of the embedded accelerometers of a common smartphone, avoiding the acquisition and installation of external accelerometers. To the authors’ knowledge, this could be the first time that a smartphone has been proposed as a practical means of measuring the speed of a motor by analysing its vibration. Experimental results from an extensive set of tests, including the supply of the motor from a frequency converter, show that the speed can always be measured with a relative error of less than 0.15%.

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A portable, low-cost, smartphone assisted methodology for on-site measurement of NO2 levels in ambient air by selective chemical reactivity and digital image analysis

Cited by 17 publications

References 36 publications

Portable, low-cost, Raspberry Pi-based optical sensor (PiSENS): continuous monitoring of atmospheric nitrogen dioxide

Portable, low-cost, Raspberry Pi-based optical sensor (PiSENS): continuous monitoring of atmospheric nitrogen dioxide

A Portable and Smartphone-Based Plasmonic System for On-Site Measurement of Airborne Redox-Active Compounds by Light-Initiated Redox Reaction

Measurement of the Speed of Induction Motors Based on Vibration with a Smartphone

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