Detection of morphine in urine based on a surface plasmon resonance imaging immunoassay

Ke, Haokun; Du, Xianchao; Wang, Ling; Wang, Xiao; Zhu, Jinsong; Gao, Yuan; Peng, Bo; Hao, Hongxia; Cai, Nengbin

doi:10.1039/d0ay00648c

Cited by 17 publications

(10 citation statements)

References 25 publications

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“…Many analytical techniques and methodologies were used for MOR detection and quantification such as high-performance liquid chromatography, surface plasma resonance, immunochromatographic assay, fluorescence immunoassays, spectrophotometric method, chemiluminescence, surface-ionization mass spectrometry, and electrochemical methods. − ,, More details about the MOR sensors and detection have been discussed in reference reviews. ,, Although the mentioned methods can offer many advantages, but also have limitations, they frequently require technical expertise, high infrastructure, pretreatment sample steps, are time-consuming, and/or costly. In addition, till date, based on our knowledge, there is no published work for the detection of MOR in terms of used metal–organic framework (MOF) materials.…”

Section: Introductionmentioning

confidence: 99%

“…The development of fast, simple, selective, sensitive, and convenient approaches and methodologies for the monitoring of MOR in biological fluids is still a challenge. Many analytical techniques and methodologies were used for MOR detection and quantification such as high-performance liquid chromatography, 11 surface plasma resonance, 12 immunochromatographic assay, 13 fluorescence immunoassays, 14 spectrophotometric method, 15 chemiluminescence, 16 surface-ionization mass spectrometry, 17 and electrochemical methods. [2][3][4]18,19 More details about the MOR sensors and detection have been discussed in reference reviews.…”

Section: ■ Introductionmentioning

confidence: 99%

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Dual Naked-Eye and Optical Chemosensor for Morphine Detection in Biological Real Samples Based on Cr(III) Metal–Organic Framework Nanoparticles

Alhaddad

Sheta

2020

ACS Omega

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The analytical detection and quantification of abuse drugs such as morphine (MOR) in biological samples are vital missions and remains to attract challenges for forensic toxicology, law enforcement, world antidoping organization, and social health fields. MOR, a benchmark analgesic drug known as "pain killer", is one of the powerful opioid medications for relieving pain, and overdose of MOR is toxic. In this article, novel promising chromium metal−organic framework nanoparticles [Cr(III)-MOF-NPs] were produced via facile synthesis and characterized using high-resolution transmission electron microscopy, field-emission scanning electron microscopy/energy-dispersive X-ray spectroscopy, mass spectrometry, X-ray photoelectron spectroscopy, elemental analysis, UV−vis, Fourier transform infrared, and thermogravimetry/differential scanning calorimetry, as well as photoluminescence (PL) investigation and magnetic properties. The PL study results revealed that the Cr(III)-MOF-NPs exhibited an emission band at 593 nm. The Cr(III)-MOF-NPs could be used in fast, selective, and sensitive MOR detection and quantification. Under the optimum experimental conditions, with the addition of MOR, a blueshift from 593 to 566 nm occurred with a remarkable PL intensity enhancement, and the color changed from brown to yellow (visually/naked-eye detection). The Cr(III)-MOF-NPs optical chemosensor exhibited a stable response for MOR in a concentration range between 0.1 and 350 nM. The detection and quantification limits were 0.167 and 0.443 nM, respectively, with a correlation coefficient (r 2 ) of 0.96. The developed PL chemosensor showed high selectivity for MOR over other competing interfering matrices. Moreover, the ultrasensitive chemosensor was extensively used for the determination of MOR spiked in different real samples (serum and urine samples) with acceptable recoveries and satisfactory results.

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Section: Introductionmentioning

confidence: 99%

Section: ■ Introductionmentioning

confidence: 99%

Dual Naked-Eye and Optical Chemosensor for Morphine Detection in Biological Real Samples Based on Cr(III) Metal–Organic Framework Nanoparticles

Alhaddad

Sheta

2020

ACS Omega

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“…The developed sensor boasts an impressive linear range that spans from 0.008 to 40 ppm, a range that is more extensive than nearly all other methods considered, including GC-MS (0.0025–2 ppm) [ 138 ], surface plasmon resonance imaging (1–50 ppm) [ 142 ], colorimetric assay (19.97–856 ppb) [ 143 ], piezoelectric sensor (0.25–2500 ppb) [ 140 ], and various other sensor types [ 62 , 139 , 141 , 146 ]. This practical broader linear range enhances the versatility and adaptability of our sensor for use with a wide range of concentration levels.…”

Section: Resultsmentioning

confidence: 99%

Unveiling Morphine: A Rapid and Selective Fluorescence Sensor for Forensic and Medical Analysis

Boroujerdi,

Butt,

Paul

et al. 2024

Sensors

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Opioid use, particularly morphine, is linked to CNS-related disorders, comorbidities, and premature death. Morphine, a widely abused opioid, poses a significant global health threat and serves as a key metabolite in various opioids. Here, we present a turn-off fluorescent sensor capable of detecting morphine with exceptional sensitivity and speed in various samples. The fluorescent sensor was developed through the dimerization process of 7-methoxy-1-tetralone and subsequent demethylation to produce the final product. Despite morphine possessing inherent fluorophoric properties and emitting light in an approximately similar wavelength as the sensor’s fluorescent blue light, the introduction of the target molecule (morphine) in the presence of the sensor caused a reduction in the sensor’s fluorescence intensity, which is attributable to the formation of the sensor–morphine complex. By utilizing this fluorescence quenching sensor, the chemo-selective detection of morphine becomes highly feasible, encompassing a linear range from 0.008 to 40 ppm with an impressive limit of detection of 8 ppb. Consequently, this molecular probe demonstrates a successful application in determining trace amounts of morphine within urine, yielding satisfactory analytical results. The study also explores the effect of several variables on the sensor’s response and optimizes the detection of morphine in urine using a response surface methodology with a central composite design.

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“…Sensitivity is the ratio of change in output of the signal to the change in the measurand, which can be calculated by the slope of the calibration curve. The sensitivity depends upon the coupling Food safety Bacteria E. coli [16], Salmonella [17], Listeria monocytogenes [18], Campylobacter jejuni [19] Mycotoxin Botulinum [20], Deoxynivalenol [21], Nivalenol [21], Zearalenone [22] Ebola [13], Influenza [30], Hepatitis B virus [31], DENV E-protein (Dengue) [32] Drug Morphine [33], Interferon-γ [34], Warfarin [35] Environmental monitoring…”

Section: Basic Principlementioning

confidence: 99%

Smartphone-based Surface Plasmon Resonance Sensors: a Review

Singh

Sardana

2022

Plasmonics

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The surface plasmon resonance (SPR) is a phenomenon based on the combination of quantum mechanics and electromagnetism, which leads to the creation of charge oscillations on a metal-dielectric interface. The SPR phenomenon creates a signal which measures refractive index change at the metal-dielectric interface. SPR-based sensors are being developed for real-time and label-free detection of water pollutants, toxins, disease biomarkers, etc., which are highly sensitive and selective. Smartphones provide hardware and software capability which can be incorporated into SPR sensors, enabling the possibility of economical and accurate on-site portable sensing. The camera, screen, and LED flashlight of the smartphone can be employed as components of the sensor. The current article explores the recent advances in smartphone-based SPR sensors by studying their principle, components, application, and signal processing. Furthermore, the general theoretical and practical aspects of SPR sensors are discussed.

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Detection of morphine in urine based on a surface plasmon resonance imaging immunoassay

Abstract: A rapid and sensitive detection method for morphine in urine based on surface plasmon resonance imaging (SPRi).

Cited by 17 publications

References 25 publications

Dual Naked-Eye and Optical Chemosensor for Morphine Detection in Biological Real Samples Based on Cr(III) Metal–Organic Framework Nanoparticles

Dual Naked-Eye and Optical Chemosensor for Morphine Detection in Biological Real Samples Based on Cr(III) Metal–Organic Framework Nanoparticles

Unveiling Morphine: A Rapid and Selective Fluorescence Sensor for Forensic and Medical Analysis

Smartphone-based Surface Plasmon Resonance Sensors: a Review

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