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Handheld Raman spectroscopy offers a rapid and mobile technique for determining drugs nondestructively. The technique offers further advantage for analyzing drug products (DPs) thanks to its ability to measure samples through packaging, thus preserving evidence integrity and continuity. This research evaluated the use of handheld Fourier transform (FT)-Raman spectroscopy for characterization of street DPs (n = 254) of diverse formulations. Raman spectra of DPs inside their packaging were collected and matched against the instrumental in-built library, and then exported to Matlab 2020a for offline spectral interpretation. Reference analysis was confirmed using gas chromatography–mass spectrometry (GC–MS) and infrared (IR) spectroscopy. The main drugs present were 1,3-trifluoro- methylphenylpiperazine, cocaine, ketamine, 3,4-methylenedioxymethamfetamine, mephedrone, and 1-benzylpiprerazine. The main impurities present in DPs were benzocaine, caffeine, and lactose. The impurities affected the Raman signature (enhanced or inhibited) of DPs, enabling profiling of DPs and visualizing patterns among different products. These latter patterns were featured in the similarities highlighted by the correlation coefficient values between different DPs, and by adjacent clusters of different DPs envisaged in the principal component analysis scores plot.

Fingernails can accumulate drugs as a result of chronic exposure. This work employed Raman spectroscopy for detecting cocaine hydrochloride (HCl) and its impurities within fingernails, utilizing orbital raster scanning (ORS) technology, where the laser beam hits multiple positions within the sample. Doing so maintained sensitivity and ensured that more of each sample’s components were represented. Fingernails were spiked with powder and solution forms of cocaine HCl and its impurities, including benzocaine HCl, levamisole HCl, lidocaine HCl, and procaine HCl. The strong Raman scattering observed for these substances indicated a high drug accumulation in the fingernails. Key cocaine HCl bands were seen at 848, 874, and 898 cm-1 (C-C stretching-tropane ring), 1004 cm-1 (symmetric stretching-aromatic ring), 1278 cm-1 (C-N stretching), 1453 cm-1 (asymmetric CH3 deformation), and 1605 and 1712 cm-1 (C=C and C=O stretching). Principal components analysis (PCA) confirmed that 90% (nails spiked with drug powders) and 77.2% (nails spiked with drug solutions) were accounted for in the variance among the data. The findings showed that Raman spectroscopy identified the presence of cocaine HCl and its impurities within fingernails.

Fingermark identification has significance in forensic science, particularly in the processing of crime scene evidence. The majority of literature focused on physical interpretation of fingermarks with limited studies relating to chemical analysis. This systematic review investigated prospective studies dealing with the analysis of latent fingermark constituents. Studies included were those concerned with the analysis of intrinsic organic constituents present in latent fingerprints. Studies with no clear procedure were excluded. Data from the studies were exported into SPSS v22 (IBM, Armonk, NY, USA) where descriptive statistics were applied. The data extraction yielded 19 studies related to identification of lipids (n = 66) and/or amino acids (n =27) in latent fingermarks. The primary lipid identified was squalene and the major amino acids included: alanine, glycine, leucine, lysine, and serine. For identification of the aforementioned constituents both chromatographic and spectroscopic techniques of which the main technique was gas chromatography-mass spectrometry. Prior to analysis, the majority of studies involved collection of fingermarks from both hands at room temperature. Deposition was done on different substrates of which the main were glass, Mylar strips, aluminium sheets or paper. In conclusion, chemical analysis of latent fingermarks enabled identifying key biomarkers of individual that could serve as complementary evidence in crime scene investigation.

The last few years have seen the emergence of new psychoactive substance among the homeless population, specifically synthetic cannabinoid receptor agonists. The purpose of this study is to investigate the knowledge and experiences of new psychoactive substances amongst users from the homeless population. An explanatory research design was applied using a semi-structured questionnaire with the focus on gaining insights on the prevalence, motivations and effects. Participants were recruited through convenience sampling from support organisations and charities UK-wide. Descriptive statistics and logistic regression were applied to analyse the data obtained from participant surveys. A total of 105 participants met the inclusion criteria and were in the age range of 18 to 64 years old. Almost 70% consumed new psychoactive substance products, which “Spice” was the most prevalent substance. Homeless users had consumed new psychoactive substance to escape reality and to self-treat themselves and stopped consumption due to the adverse effects. Adverse events were reported from the majority of the participants and led to more than 20% of the participants requiring medical treatment following hospitalisation. Findings from this study can contribute to the development of guidelines and policies that specifically address the needs of the homeless population who use new psychoactive substances.

The present study demonstrates the potential of synchronous fluorescence spectroscopy and multivariate data analysis for authentication of COVID-19 vaccines from various manufacturers. Synchronous scanning fluorescence spectra were recorded for DNA-based and mRNA-based vaccines obtained through the NHS Central Liverpool Primary Care Network. Fluorescence spectra of DNA and DNA-based vaccines as well as RNA and RNA-based vaccines were identical to one another. The application of principal component analysis (PCA), PCA-Gaussian Mixture Models (PCA-GMM)) and Self-Organising Maps (SOM) methods to the fluorescence spectra of vaccines is discussed. The PCA is applied to extract the characteristic variables of fluorescence spectra by analysing the major attributes. The results indicated that the first three principal components (PCs) can account for 99.5% of the total variance in the data. The PC scores plot showed two distinct clusters corresponding to the DNA-based vaccines and mRNA-based vaccines respectively. PCA-GMM clustering complemented the PCA clusters by further classifying the mRNA-based vaccines and the GMM clusters revealed three mRNA-based vaccines that were not clustered with the other vaccines. SOM complemented both PCA and PCA-GMM and proved effective with multivariate data without the need for dimensions reduction. The findings showed that fluorescence spectroscopy combined with machine learning algorithms (PCA, PCA-GMM and SOM) is a useful technique for vaccination verification and has the benefits of simplicity, speed and reliability.

Background Breast cancer is the most common type of cancer in women worldwide. The benefits of chemotherapy vary depending on the treatment regimen used and the characteristic of the tumour. However, adverse drug reactions associated with chemotherapeutic agents can cause dose delays or reductions; thereby, affecting the treatment outcomes. Objective To explore adverse drug reactions of chemotherapeutic agents used to treat breast cancer from the patients’ perspective. Methods A total of 110 threads from nine online discussion forums were evaluated. They were exported into NVivo for Mac where content analysis was applied. Threads were read carefully to observe emerging patterns which were then coded into sub-themes and grouped into main themes. Results The participants’ characteristics on online discussion forums were often missing. Four hundred and eleven participants experienced 473 adverse drug reactions that were mainly associated with the nervous and immune systems. The forums’ analysis yielded three main themes: patient–patient advice, self-medication and lifestyle changes. Conclusion Online discussion forums proposed valued source of data on adverse drug reactions associated with chemotherapeutic agents and overall patients’ experience with cancer. The adverse drug reactions experienced by patients changed their priorities and the way they dealt with the disease. Therefore, healthcare professionals must consider the patients’ experience and attitudes towards cancer when designing a treatment plan. This can be established by increasing communication between healthcare professionals and patients.

Abstract: Urban pollution is one of the main problems encountered worldwide, with a major impact on public health as well as the environment. The health impact of urban pollution is not limited to respiratory conditions but also encompasses major skin problems, including irritation, skin ageing, and skin cancer. Toxic gases and particulate matter are the main pollutants that exhibit extensive local variability. The aforementioned pollutants are small particles that attach to the skin or penetrate it, enhancing free radicals’ production inside the inner skin layers. This urges the need to propose cosmetic products that help prevent and/or minimise pollutants’ effects on the skin, whether irritation, ageing, and cancer. Furthermore, intrinsic and extrinsic factors contribute to skin irritation and ageing. Intrinsic factors are within skin factors and include genetic and physiological characteristics of individuals. Moreover, extrinsic factors comprise environmental factors such as humidity, temperature, and smoke. Subsequently, active ingredients with anti pollutant properties addressed the intrinsic and extrinsic factors by four mechanisms: free radical neutralisation, film-forming ability, skin barrier enhancement, and fortification. Such ingredients include vitamin A derivatives, vitamin C derivatives, carbohydrates, and plantbased products. Yet, very limited studies have evaluated the effectiveness of the aforementioned active ingredients against irritation or ageing, which should be considered in future work.

Counterfeit medicines represent a global public health threat warranting the development of accurate, rapid, and nondestructive methods for their identification. Portable near-infrared (NIR) spectroscopy offers this advantage. This work sheds light on the potential of combining NIR spectroscopy with principal component analysis (PCA) and soft independent modelling of class analogy (SIMCA) for authenticating branded and generic antibiotics. A total of 23 antibiotics were measured “nondestructively” using a portable NIR spectrometer. The antibiotics corresponded to six different active pharmaceutical ingredients being: amoxicillin trihydrate and clavulanic acid, azithromycin dihydrate, ciprofloxacin hydrochloride, doxycycline hydrochloride, and ofloxacin. NIR spectra were exported into Matlab R2018b where data analysis was applied. The results showed that the NIR spectra of the medicines showed characteristic features that corresponded to the main excipient(s). When combined with PCA, NIR spectroscopy could distinguish between branded and generic medicines and could classify medicines according to their manufacturing sources. The PCA scores showed the distinct clusters corresponding to each group of antibiotics, whereas the loadings indicated which spectral features were significant. SIMCA provided more accurate classification over PCA for all antibiotics except ciprofloxacin which products shared many overlapping excipients. In summary, the findings of the study demonstrated the feasibility of portable NIR as an initial method for screening antibiotics.

Supplemental material, sj-pdf-1-asp-10.1177_0003702820958081 for Authentication of Antibiotics Using Portable Near-Infrared Spectroscopy and Multivariate Data Analysis by Sulaf Assi, Basel Arafat, Kathryn Lawson-Wood and Ian Robertson in Applied Spectroscopy

Objectives This study aimed to explore the adverse effects of chemotherapeutic agents used in the treatment of ovarian and cervical cancer by analysing patients’ views posted in online discussion forums. Method UK-centred online discussion forums were used to identify discussion threads on ovarian and cervical cancer between 2008 and 2017. The study was approved by the University of Bournemouth ethics committee. 272 discussion threads with 644 participants from four online discussion forums (Cancer Research UK, Macmillan, Ovacome and Jo’s Cervical Cancer Trust) were identified. The threads were exported into NVivo and a thematic content analysis was conducted to identify study themes. Results Of the 644 participants, 19.4% had a diagnosis of cervical cancer and 80.6% had a diagnosis of ovarian cancer. Four main themes related to: (1) treatment plan, (2) adverse effects, (3) perception of treatment and (4) hospitalisation were identified. Patients’ perceptions about their treatment were reported to be positive across all chemotherapeutic agents. 312 adverse effects were reported by patients with cervical cancer taking cisplatin, with fatigue (52.1%) and nausea (30.6%) being the two most frequently reported adverse effects. With regard to the treatment of ovarian cancer, 402 adverse effects were reported by patients on carboplatin and paclitaxel, with neuropathy (29.3%) and fatigue (28.0%) being the two most commonly reported adverse effects. Conclusion The online discussion forums allowed patients to express their concerns in a blame-free environment that provided novel insight into the impact of chemotherapy-associated adverse effects on patients with cervical and ovarian cancers. Real-life experiences shared by patients can help the healthcare professionals to find the right balance between prolonged survival and quality of life.

Objective: To investigate the profile, effects and toxicity of novel psychoactive substances (NPS).Methods: A systematic literature review was conducted between May 2015 and February 2016 and included 19 databases. Search terms included: ‘novel psychoactive substance(s)’, ‘effect(s)’ and ‘toxicity’ and their synonyms. Studies included were those from any country, in any language and between January 2007 and April 2015. Studies published before 2007 and those regarding the synthesis of NPS were excluded. Data was extracted by evaluating the titles, abstract and full text respectively. Consequently, the extraction yielded 20 studies.Results: A total of 43 NPS derivatives of eight main pharmacological classes were identified. NPS were mostly used among young adults and adults within the age range of 16-64 years old. Cathinones and synthetic cannabinoids were the most prevalent amongst the aforementioned classes. The main desired effects of NPS use were empathy and increased ability to socialise. Reported toxicity associated with the use of NPS included cardiovascular, neurological and psychoactive adverse reactions. Conclusions: Despite the unique subjective effects associated with the use of NPS, harmful effects could be severe and/or lethal. Therefore, there is a need to develop research in the area of NPS and promote awareness among healthcare professionals.

Institute of Psychiatry and Neurology (IPIN), Warsaw, PolandObjectives The recent emergence of new psychoactive compounds (novel psychoactive substances (NPS)) has raised prominent challengesin the fields of drug policy, substance use research, public health and service provision. The Recreational Drugs European Network project,funded by the European Commission, was implemented to improve the information stream to young people and professionals about effects/risks of NPS by identifying online products and disseminating relevant information through technological tools.Methods Regular multilingual qualitative assessments of websites, drugs fora and other online resources were carried out using the Googlesearch engine in eight languages from collaborating countries. These included the following: the UK, Norway, Belgium, Germany, Hungary,Poland, Italy and Spain. Products were tested and prevention messages were developed and disseminated via technological tools such asinteractive websites, SMS alert, social networking (Facebook, Twitter), Multimedia (You Tube), Smartphone applications (iPhone) andvirtual learning environments (Second Life).Results The Recreational Drugs European Network project established itself as the first Europe-wide prevention programme designed forNPS based on the efficacy of novel information and communication technology-based forms of intervention. More than 650 NPS productsand combinations were identified; relevant information was disseminated to target population and advice was given to both European Union/international agencies and national policy makers.Conclusions Web-monitoring activities are essential for mapping the diffusion of NPS and the use of technological tools can besuccessfully incorporated in specific prevention programmes. Furthermore, the involvement of multi-disciplinary internationalpartnerships was and continues to be fundamental for responding to such a prominent challenge. Copyright © 2013 John Wiley& Sons, Ltd.key words—new psychoactive compounds; addiction; public health

We report the detection and analysis of a suspected counterfeit sample of the antimalarial medicine Metakelfin through developing nitrogen-14 nuclear quadrupole resonance ((14)N NQR) spectroscopy at a quantitative level. The sensitivity of quadrupolar parameters to the solid-state chemical environment of the molecule enables development of a technique capable of discrimination between the same pharmaceutical preparations made by different manufacturers. The (14)N NQR signal returned by a tablet (or tablets) from a Metakelfin batch suspected to be counterfeit was compared with that acquired from a tablet(s) from a known-to-be-genuine batch from the same named manufacturer. Metakelfin contains two active pharmaceutical ingredients, sulfalene and pyrimethamine, and NQR analysis revealed spectral differences for the sulfalene component indicative of differences in the processing history of the two batches. Furthermore, the NQR analysis provided quantitative information that the suspected counterfeit tablets contained only 43 ± 3%, as much sulfalene as the genuine Metakelfin tablets. Conversely, conventional nondestructive analysis by Fourier transform (FT)-Raman and FT-near infrared (NIR) spectroscopies only achieved differentiation between batches but no ascription. High performance liquid chromatography (HPLC)-UV analysis of the suspect tablets revealed a sulfalene content of 42 ± 2% of the labeled claim. The degree of agreement shows the promise of NQR as a means of the nondestructive identification and content-indicating first-stage analysis of counterfeit pharmaceuticals.