Development of the Glass Electrode and the pH Response

Graham, Daniel J.; Jaselskis, Bruno; Moore, Carl R.

doi:10.1021/ed300246x

Cited by 37 publications

(38 citation statements)

References 39 publications

(58 reference statements)

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“…1). Soil physiochemical properties were determined by following Graham et al (2013), Bremner and Mulvaney (1982), Nelson and Sommers (1996), Olson and Sommers (1982), Lindsay and Norvell (1978), Fox (1964). The variety, BARI Sarisha-14 was sown in line on 17th and 15th November 2011 and 2012 at a rate of 6.5 kg/ha.…”

Section: Methodsmentioning

confidence: 99%

Yield and water productivity of mustard under sprinkler and basin irrigation systems

Mila¹,

Akanda²,

Biswas³

et al. 2016

Bangladesh J. Sci. Res.

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Field experiment was conducted during two consecutive years (2011-12 and 2012-13) to investigate the yield and water productivity (WP) of mustard (BARI Sarisha-14 variety) using sprinkler irrigation. There were six irrigation treatments (sprinkler irrigation at vegetative (T 1 ), pre-flowering (T 2 ) and pod formation (T 3 ) stage, sprinkler irrigation at vegetative and pod formation stage (T 4 ), sprinkler irrigation at pre-flowering and pod formation stage (T 5 ); and basin irrigation at vegetative, pre-flowering, and pod formation stage (T 6 ) (farmer's practice). Results indicate that yield and yield components responded positively against different soil moisture regime. The significant highest yield (1.41 and 1.37 t/ha) was obtained by applying basin irrigation at three growth stages, with no statistical difference in yield (1.38 and 1.34 t/ha) with the application of sprinkler irrigation at vegetative and pod formation stages. Vegetative stage was the most critical stage to sprinkler irrigation and pod formation is the next most sensitive stage for mustard cultivation. Sprinkler irrigation can save more than 65 and 35 % of water with the yield reduction of 12.96 and 2.16%, respectively, in treatment T 1 and T 4 compared to treatment T 6 . These treatments (T 1 and T 4 ) also gave higher water productivity, irrigation water productivity, and net revenue than treatment T 6 . The results will be helpful for policy planning regarding efficient irrigation and water management under water scarce situation.

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Section: Methodsmentioning

confidence: 99%

Yield and water productivity of mustard under sprinkler and basin irrigation systems

Mila¹,

Akanda²,

Biswas³

et al. 2016

Bangladesh J. Sci. Res.

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“…1). The short principle of its operation is to determine the potential of the measuring electrode in the liquid under investigation with respect to the potential of the reference electrode [6,7]. It is not possible to measure directly the absolute value of the potential at the present time.…”

Section: Application Of the Ph Electrodementioning

confidence: 99%

Optimization of the automated colorimetric measurement system for pH of liquid

2017

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Abstract. This article considers the issue of automatic control of the acidity of the aquatic environment, which is relevant in such branches of agriculture as hydroponics and aeroponics. A method for measuring the pH of a liquid using a potentiometric method is considered. This method allows to obtain the most accurate pH values, but has some drawbacks. In particular, the article analyzes the advantages of this method over the use of a universal indicator paper and a color sensor for pH determination, describes the components, the conditions of their operation and storage, describes the basic principles of the measuring system operation. A method for converting a signal received at a pH electrode into a microcontroller suitable for processing is also contemplated. The main goal of the development and application of the measuring system described in the article is to achieve a high degree of autonomy and automation of aeroponic and hydroponic greenhouse complexes.

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“…Typical digital multimeters have R in from 10 MΩ to 10 GΩ . Today, semiconductor analyzers, digital multimeters, n‐type and p‐type commercial transistors, instrumentation amplifiers, electrometers, electrochemical analyzers, and pH meters are used in pH sensing experiments, each with their own R in . Different pH sensing devices have disparate full cell resistances due to differences in material resistivity (ρ) and sensing geometry, and thus the input resistance should scale accordingly.…”

Section: Introductionmentioning

confidence: 99%

A Protocol to Characterize pH Sensing Materials and Systems

et al. 2018

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Although significant progress is made in identifying pH sensing materials and device configurations, a standard protocol for benchmarking performance of next-generation pH devices is still lacking. In particular, key properties of characterization systems, such as inherent component contributions, time plots for extended-gate field-effect transistor (EGFET) measurements, and the input resistance (R in ), often go unreported in studies of pH sensing systems. These properties strongly influence the characterization system and can lead to mistaken attribution of properties to the device. In this paper, a series of essential characterization tests and parameters are reported to evaluate pH systems, such as the zinc oxide EGFET, in a standardized protocol. This EGFET ZnO sensor has a sensitivity of −58.1 mV pH −1 , drift range from 2.5 to 14.2 µA h −1 , and response time of 136 s. By using a ZnO sensing electrode, it is demonstrated that i) intrinsic contributions of reference electrode and commercial transistor (for EGFET) are not negligible; ii) time plots for EGFET configuration and defining a critical point at the onset of drift are essential for accurate sensitivity, response time, and drift reporting; and iii) the results of the pH sensing system are strongly dependent on the input resistance of the used characterization instruments. pH Sensor Benchmarking

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Development of the Glass Electrode and the pH Response

Cited by 37 publications

References 39 publications

Yield and water productivity of mustard under sprinkler and basin irrigation systems

Yield and water productivity of mustard under sprinkler and basin irrigation systems

Optimization of the automated colorimetric measurement system for pH of liquid

A Protocol to Characterize pH Sensing Materials and Systems

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