Detection and identification of medically important alkaloids using the surface-enhanced Raman scattering spectroscopy

Volochanskyi, Oleksandr; Švecová, Marie; Prokopec, Vadym

doi:10.1016/j.saa.2018.09.009

Cited by 24 publications

(12 citation statements)

References 18 publications

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“…Hot electrons can be generated more efficiently as a result of localized surface plasmon resonance (LSPR) excitation of metal nanoparticles (NPs) by incident light. − The direct outcome of LSPR excitation is creating a concentrated and enhanced near-field particularly when two or more NPs are brought in close proximity. − The near-field effect has the dominant contribution to enhancement of the Raman scattering signal of molecules adsorbed on the NPs. Surface enhanced Raman scattering (SERS) has now become a routine vibrational spectroscopy for analyzing a wide variety of samples. − Hot electrons are produced when the LSPR decays through a nonradiative damping mechanism that involves electron–surface collisions . Hot electrons can induce electronic and vibrational excitation of molecules adsorbed on the NPs and in some cases leads to formation of anionic species that have been detected in SERS measurements. − The NP to molecule electron transfer can increase the polarizability and Raman scattering cross-section of the adsorbate, hence contributing to the SERS enhancement. − Relaxation of the LSPR excitation can also generate local heating of the NPs as the hot electrons couple to phonon modes (crystal vibration). ,, The heating effect has potential application for photothermal therapy, and it can also increase the likelihood of charge transfer by reorganizing adsorbate geometry .…”

Section: Introductionmentioning

confidence: 99%

Anions as Intermediates in Plasmon Enhanced Photocatalytic Reactions

Habteyes

2020

J. Phys. Chem. C

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Hot electron transfer to unoccupied molecular orbitals is the most popularized mechanism for plasmon enhanced photocatalytic reactions, while a few reactions have been attributed to near-field enhanced intramolecular adsorbate electronic photoexcitation. In this Perspective, it is argued that the role of hot electrons may be limited to preparing anionic complexes that can undergo further chemical transformation via photoexcitation to dissociative potential energy surfaces. The proposed mechanism is based on careful analysis of two different examples of plasmon mediated reactions: N-demethylation of methylene blue (MB) and dissociation of CO2. In the case of MB N-demethylation, experimental evidence obtained from in situ surface enhanced Raman scattering (SERS) spectroscopy shows that MB converts selectively to thionine on gold nanoparticles (NPs) at optimal surface–molecule separation at an excitation wavelength that matches the electronic transition of the molecule. When MB is directly adsorbed on the metal NPs, the SERS spectra recorded at near-infrared wavelength indicate the formation of an anionic complex that can undergo nonselective N-demethylation when visible light is used. Similarly, comparison of the wavelength dependent plasmon mediated photocatalytic dissociation and hydrogenation of CO2 on metal NPs to the related gas phase photochemistry suggests that the mechanism likely involves photoexcitation of surface bound CO2 – anions prepared via metal to molecule electron transfer. In general, it is proposed that near-field enhanced direct electronic excitation of adsorbate or adsorbate–metal complex plays a critical role in most, if not all, plasmon mediated photochemical reactions, while hot electrons prepare reactive intermediate species.

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Section: Introductionmentioning

confidence: 99%

Anions as Intermediates in Plasmon Enhanced Photocatalytic Reactions

Habteyes

2020

J. Phys. Chem. C

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“…The professional ought to comprehend that distinguishing proof outcomes are bound to be precise within the sight of set-point changes and discontinuous info/yield immersion. Volochanskyi et al [30] have proposed distinctive excitation wavelengths used to figure the fitting test conditions for the recognition and distinguishing proof of therapeutically noteworthy. The Surface-Enhanced Raman Scattering (SERS) spectroscopy is a method able to do low identification restricts in the investigation of modest quantities analyses.…”

Section: Related Workmentioning

confidence: 99%

Enhancing Classifier Accuracy in Ayurvedic Medicinal Plants using WO-DNN

Keskar,

Maktedar

2019

IJEAT

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Identification of right medicinal plants that goes in to the formation of a medicine is significant in ayurvedic medicinal industry. This paper focuses around the automatic identification proof of therapeutic plants that are regularly utilized in Ayurveda. The fundamental highlights required to distinguish a medicinal plant is its leaf shape, color and texture. In this paper, we propose efficient accurate classifier for ayurvedic medical plant identification (EAC-AMP) utilizing using hybrid optimal machine learning techniques. In EAC-AMP, image corners detect first and top, bottom leaf edges are computed by the improved edge detection algorithm. After preprocessing, the segmentation can achieve using spider optimization neural network (SONN), which segments leaf regions from an image. The time and frequency domain features are computed by the symbolic accurate approximation (SAX); other features shape features, color features and tooth features are computed by the two-dimensional binary phase encoding (2DBPE). Finally, a whale optimization with deep neural network (DNN) classifier is used to characterize the type of plants. Accuracy in identification of any ayurvedic plant leaf is achieved by understanding and extracting the plant features. The main objective of the proposed EAC-AMP approach is to increase the accuracy of classifier. MATLAB experimental analysis showed better results such as accuracy, sensitivity and specificity.

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“…It is interesting to point out that Haddad et al actually noted that the multivariate models they employed (principal component regression (PCR) and partial least squares (PLS)) were less successful for their method than an intensity-based approach (Haddad et al, 2019). Other examples of PLSR can be found in Siddhanta et al (2016), Volochanskyi et al (2019), andWr obel et al (2017). A study of propranolol in serum, plasma, and urine used PCA, principal component-discriminant function analysis (PC-DEA), and PLSR for data analysis (Subaihi et al, 2016).…”

Section: Combinations Of Methodsmentioning

confidence: 99%

“…This substrate allowed detection at 10 À8 M of pefloxacin, ciprofloxacin, levofloxacin, diphenhydramine HCl, ibuprofen, diclofenac, and 4-acetamidophenol (low ng/mL) in distilled water (Pavliuk et al, 2020). Many other examples exist in the literature for the analysis of drug-related compounds including analysis of atropine and pergolide (Volochanskyi et al, 2019), promethazine and scopolamine with silver sols (Bao et al, 2019), and dobutamine with EC-SERS (Zaleski et al, 2017). Table 1 provides the referenced literature for comparison.…”

Section: Analytementioning

confidence: 99%

Transitioning surface‐enhanced Raman spectroscopy (SERS) into the forensic drug chemistry and toxicology laboratory: Current and future perspectives

Ott

Arroyo

2023

WIREs Forensic Science

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Applications and advances in surface-enhanced Raman spectroscopy (SERS) have grown over the last several years, demonstrating improvements in sensitivity and selectivity. Applications for SERS-related techniques have been explored in many analytical disciplines including forensic applications. Drug chemistry and toxicology may benefit from the growth of SERS since many methods have demonstrated high sensitivity, potential for quantitative analysis, and portable instrumentation for onsite testing. SERS techniques have been developed using many substrates including nanoparticles and colloids; microfluidic devices; paper-based substrates; electrodes; and wearable/flexible devices. These methods take advantage of the SERS phenomenon, providing more potential applications for Raman analysis and overcoming the traditional challenges of the technique. This is desirable for forensic drug chemistry applications which require screening and confirmatory approaches and analysis of mixtures with low weight percent contributions of analytes, as well as forensic toxicology, where matrix interferences, sensitivity requirements, and a growing introduction of novel drug entities pose challenges. Several chemometric approaches have been applied to Raman data to improve identification, classification, and quantification. These advances position SERS for incorporation into forensic chemistry laboratories. While some SERS applications are available commercially, widespread use of SERS in practicing forensic laboratories remains limited. Due to the requirements for use of analytical techniques in the courtroom, future studies for SERS should revolve around the assessment of validation parameters common in other analytical methods. SERS techniques that are rapid, simple, and inexpensive may be more quickly adapted for forensic testing, where use as advanced screening techniques is a clear avenue of research.

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Detection and identification of medically important alkaloids using the surface-enhanced Raman scattering spectroscopy

Cited by 24 publications

References 18 publications

Anions as Intermediates in Plasmon Enhanced Photocatalytic Reactions

Anions as Intermediates in Plasmon Enhanced Photocatalytic Reactions

Enhancing Classifier Accuracy in Ayurvedic Medicinal Plants using WO-DNN

Transitioning surface‐enhanced Raman spectroscopy (SERS) into the forensic drug chemistry and toxicology laboratory: Current and future perspectives

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