Fiber bundle sensor for detection of formaldehyde concentration in fish

Yasin, Moh.; Irawati, Ninik; Zaidan, Andi Hamim; Kismiyati,; Mukti‬, ‪Akhmad Taufiq; Soegianto, Agoes; Rosalia, D.K.P.; Wardani, Ratih; Khasanah, Miratul; Kbashi, Hani J.; Perego, Auro M.

doi:10.1016/j.yofte.2019.101984

Cited by 11 publications

(6 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Fiber bundles have been demonstrated as sensors in various applications, such as medical imaging 22 and remote sensing. 23 Here, we demonstrate that a fiber bundle can be used as both a beam position sensor and a receive fiber in an FSO link, which provides the benefit of an inherent co-boresighting of the position sensor to the receive fiber.…”

Section: Fiber Bundle As a Beam Position Sensormentioning

confidence: 84%

Fiber bundle-based beam tracking approach for free space optical communications link optimization

Patel,

O’Toole,

Newell

et al. 2024

Opt. Eng.

View full text Add to dashboard Cite

A robust pointing, acquisition, and tracking approach is critical to closing and maintaining a free space optical communications link. Many fiber-coupled terminal architectures use a beamsplitter to direct a portion of the received light onto a quadrant detector and generate an error signal. A feedback control loop uses this error signal to adjust a fine steering element to maximize power into the collection fiber. However, this approach produces additional insertion loss due to transmission through a beamsplitter and tracking loss due to inevitable boresighting errors between the quadrant detector and the collection fiber. We present an alternative architecture that makes use of a hexagonally packed, seven-fiber bundle for data beam tracking. The outer fibers are inherently co-boresighted position sensors used to sense displacement of the received beam from the central data fiber. We present field test data directly comparing performance between a fiber bundle-based terminal and a quadrant detector-based terminal. Our results show nearly an order of magnitude of improvement in control loop tracking stability and a 2.8× improvement in tracking performance as seen in Strehl ratio for the fiber bundle system.

show abstract

Section: Fiber Bundle As a Beam Position Sensormentioning

confidence: 84%

Fiber bundle-based beam tracking approach for free space optical communications link optimization

Patel,

O’Toole,

Newell

et al. 2024

Opt. Eng.

View full text Add to dashboard Cite

show abstract

“…Table 2 resumes all the data reported in this section for the meat matrix. First, as it can be seen, over the sensing determinations [47][48][49][50][54][55][56][57][58][59][60][61], the two tables also show the main determinations carried out by traditional techniques (HPLC, GC, spectrophotometric techniques, etc.) for a comparison of the analytical parameters and for understanding the quality level reached by the electrochemical approach [51][52][53][62][63][64].…”

Section: Meatmentioning

confidence: 99%

“…Over time, the reaction continues, leading to the formation of monoethylamine and formaldehyde (responsible for the typical smell of spoiled fish). For these two reasons, fish is a well-studied matrix by means both of sensing methods [48,49,[54][55][56][57][58][59][60][61] and no-sensing methods [51,[62][63][64], especially recently favoring in situ approaches.…”

Section: Fishmentioning

confidence: 99%

A Review on Recent Sensing Methods for Determining Formaldehyde in Agri-Food Chain: A Comparison with the Conventional Analytical Approaches

Fappiano

Carriera

Iannone

et al. 2022

Foods

View full text Add to dashboard Cite

Formaldehyde, the simplest molecule of the aldehyde group, is a gaseous compound at room temperature and pressure, is colorless, and has a strong, pungent odor. It is soluble in water, ethanol, and diethyl ether and is used in solution or polymerized form. Its maximum daily dosage established by the EPA is 0.2 μg g−1 of body weight whereas that established by the WHO is between 1.5 and 14 mg g−1: it is in category 1A of carcinogens by IARC. From an analytical point of view, formaldehyde is traditionally analyzed by HPLC with UV-Vis detection. Nowadays, the need to analyze this compound quickly and in situ is increasing. This work proposes a critical review of methods for analyzing formaldehyde in food using sensing methods. A search carried out on the Scopus database documented more than 50 papers published in the last 5 years. The increase in interest in the recognition of the presence of formaldehyde in food has occurred in recent years, above all due to an awareness of the damage it can cause to human health. This paper focuses on some new sensors by analyzing their performance and comparing them with various no-sensing methods but focusing on the determination of formaldehyde in food products. The sensors reported are of various types, but they all share a good LOD, good accuracy, and a reduced analysis time. Some of them are also biodegradable and others have a very low cost, many are portable and easy to use, therefore usable for the recognition of food adulterations on site.

show abstract

“…Optical fibers have long been the mainstay of communication domain, but its applications in sensing have also been recently exploited with researchers discovering that these sensors could not only be used to detect many of physical parameters of traditional sensors but also with great sensitivity and efficiency. Many optical fiber sensors have been demonstrated including those used for the detection of liquid solution concentrations such as glucose [15], calcium [23], honey [24], cholesterol [25], formaldehyde [26], and sodium chloride [27]. Furthermore, plastic optical fiber displacement sensors (POFDS) have shown significant promise due to its various advantages such as being resistant to electromagnetic interference, consistent, highly sensitive, and operable in any situation [15].…”

Section: Introductionmentioning

confidence: 99%

Elucidating the Capabilities of Mirrorless Large Core Bundled Plastic Fiber Optic Displacement Sensor for Paracetamol Detection

et al. 2021

View full text Add to dashboard Cite

A simple mirrorless plastic optical fiber displacement sensor was used to determine the concentration of paracetamol (PCM) in an aqueous solution. Paracetamol concentrations between 5 and 45 ppm were tested by the proposed sensor. With a mirror, the substantial sensitivity observed by an output power changed against displacement of 0.0403 mW/μm for the front slope and 0.023 mW/μm for the back slope with linearities of more than 99%. On the other hand, nonmirror reflector showed a sensitivity of 0.0006 mW/μm for the front slope and 0.0002 mW/μm for the back slope for the case of a red reflector and a sensitivity of 0.0007 mW/μm and 0.0003 mW/μm for the front and the back slope, respectively, for the case of a white reflector. The sensor sensitivity for the red and white coloured papers, which were used as the nonmirror reflectors and the mirror reflector itself against changing PCM concentrations, was 0.0004 mW/ppm, 0.0008 mW/ppm, and 0.02 mW/ppm, respectively. The experimental results indicated that the sensor was not only able to detect and measure the concentration of PCM in aqueous solutions but was also very stable with the additional advantages of a cost-effective and practical design that is highly beneficial for real-world sensing applications.

show abstract

Fiber bundle sensor for detection of formaldehyde concentration in fish

Cited by 11 publications

References 17 publications

Fiber bundle-based beam tracking approach for free space optical communications link optimization

Fiber bundle-based beam tracking approach for free space optical communications link optimization

A Review on Recent Sensing Methods for Determining Formaldehyde in Agri-Food Chain: A Comparison with the Conventional Analytical Approaches

Elucidating the Capabilities of Mirrorless Large Core Bundled Plastic Fiber Optic Displacement Sensor for Paracetamol Detection

Contact Info

Product

Resources

About