| 1 |
Which category of PCPs had the highest representation in the study?
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Make-up products |
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Personal care products are used widely and are a significant source of exposure to chemicals, some of which are associated with an array of health effects, including cancer and disruption of the endocrine and reproductive systems. People may be exposed to chemicals in personal care products directly through dermal absorption, inhalation, and ingestion, and possibly indirectly, through contamination of the indoor environment. |
n order to model exposure to ingredients contained in personal care products (PCPs) and assess their potential risks to human health, access to reliable PCP use data, including co-use patterns, is essential. A postal questionnaire survey was conducted to determine the use patterns of eight leave-on PCP categories among the German-speaking population of Switzerland (N = 1,196; ages 0–97 years), providing for the first time in Europe PCP use data for children <12 years of age. The majority of respondents (99%) reported having used at least one of the investigated PCP categories in the past year. Co-use of two or more PCP categories at the same time was common and more complex amongst adults. Regular use of face cream and body lotion was very high in the youngest group of children aged 0–4 years (more than 79% respondents) |
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| 2 |
What percentage of examined PCPs contained fragrance chemicals?
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73.33% |
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Fragrance compounds (synthetic fragrances or natural essential oils) comprise formulations of specific combinations of individual materials or mixtures. Natural or synthetic scents are core constituents of personal care and household products (PCHPs) that impart attractiveness to the olfactory perception and disguise the unpleasant odor of the formula components of PCHPs. Fragrance chemicals have beneficial properties that allow their use in aromatherapy. However, because fragrances and formula constituents of PCHPs are volatile organic compounds (VOCs), vulnerable populations are exposed daily to variable indoor concentrations of these chemicals. |
Percentage (%) of the products containing fragrance allergens in women's perfumes (n = 76) and men's perfumes (n = 31). |
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| 3 |
Which fragrances were most frequently identified among the examined PCPs?
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Limonene and linalool |
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Personal Care Products (PCPs) contain a wide range of chemicals which cleanse or enhance one’s body appearance. These chemicals are continuously released into the environment, and if not properly regulated, they can be persistent, bioaccumulative and toxic in the environment. These chemicals are discharged into the environment through direct discharge from industries, hospitals, urban/municipal waste, and inefficient wastewater treatment systems. |
However, emerging evidence suggests that some accumulate in body tissues and negatively impact humans and animals, impacting the endocrine systems and the environment since they are continuously being released and may not degenerate easily the environment. The contaminants are thus called emerging pollutants. The aim of this study was to investigate the presence of potentially toxic chemical ingredients of PCPs in South Africa by examining the product labels. A total of 185 PCPs were examined, with 57% of these products classified as skincare, 32% as rinse-off products and 11% as make-up products. Analysis of the database revealed that chemicals which function as fragrances, preservatives and UV-filters were present in 65%, 60% and 58% of the examined PCPs, respectively. Furthermore, the most frequently identified fragrances were limonene (73.33%), linalool (69.17.5%), coumarin (40%), and hexyl cinnamal (38.33%), which are weak allergens. |
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| 4 |
What does the presence of restricted fragrances in South African PCPs indicate?
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Lack of consistent rules and regulations |
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| 5 |
Essay | Examine the challenges associated with the regulation of chemicals in Personal Care Products (PCPs), as highlighted by the study. Discuss how inconsistencies in labeling and the presence of restricted fragrances indicate regulatory gaps. Propose potential solutions to enhance PCP chemical regulation, ensuring product safety, environmental sustainability, and consumer awareness.
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| 6 |
What is a primary challenge associated with monitoring programs based on PAT systems?
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Inability to control processes |
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Because the ultimate goal of PAT is to improve the safety and quality of manufacturing products and processes, it is important to incorporate them at all stages of chemical process development and scale-up – from raw material testing to reaction monitoring to final manufacture. Chemical, physical, microbiological, mathematical, and risk analysis elements are combined to result in a complete understanding and control of processes. |
The practical implementation of PAT involves the integration of inline or online technologies designed to provide information and analyze data in real time or near real time. Common PAT tools include in-situ spectroscopic and chromatographic compositional analyzers, fixed-purpose sensors, automated and statistical data analysis, and overall knowledge management methods, among many others. |
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| 7 |
How does data-driven modeling assist in PAT systems?
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By aiding in the interpretation of complex data matrices |
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The pharmaceutical industry is one of the most influential industries in public health and the global economy. A flowsheet of the drug manufacturing process is shown in Figure 1. The general pharmaceutical production process comprises the conversion of materials in different stages: sequentially from raw materials, to active pharmaceutical ingredients (APIs), to formulation, and finally the target drug product. In most cases, there are numerous production routes to be used for manufacturing the same product. |
DoE methods have found broad applications in many pharmaceutical processes. Gardner et al. [29] developed a high-throughput platform for selecting different pharmaceutical candidates and products. They used experimental design methods to test different conditions and determine the combinatorial testing conditions for robotic dispensing and sample harvesting. Patel et al. developed a solid self-nanoemulsifying drug delivery system (S-SNEDDS) that optimizes the three-component system using DoE. Their optimization led to an increase in the oral bioavailability of the poorly soluble antiretroviral protease inhibitor, Lopinavir. Hsueh et al. carried out DoE in a predicted model to solve difficulties in employing full-scale experiments with multiple variables in process characterization of recombinant protein production. |
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| 8 |
What is the aim of the presented paper regarding multi-sensors data fusion?
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Developing new sensors |
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Multi sensor fusion is the mainstream of SLAM in the future. A single sensor cannot adequately sense environmental information, and state estimation is highly uncertain. Multi-sensor fusion can solve these problems and improve the accuracy of system positioning and environment mapping. The Multi sensor Fusion(MSF) technique is required to improve positioning accuracy from multi source heterogeneous data. MSF is an information processing process that uses computer technology to automatically analyze and synthesize information and data from multiple sensors or sources according to certain criteria to complete the required decision and estimation. The basic principle of MSF is the same as the process of comprehensive information processing of the human brain |
Multi-source sensor information fusion mainly collects various types of information from multiple independent decentralized sensors. Due to the different types of information, specific combinations of time and events are required to make the collected information more advanced and useful information. From the level of fusion, it will be merged from the three levels of data set, feature level and decision-making level. For different practical problems, it is necessary to use a certain level of fusion or a certain two levels of fusion according to the situation, so as to obtain the most optimal integration scheme. |
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| 9 |
Why is PAT considered for continuous processing of industrial products?
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To reduce the need for sensors |
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Because the ultimate goal of PAT is to improve the safety and quality of manufacturing products and processes, it is important to incorporate them at all stages of chemical process development and scale-up – from raw material testing to reaction monitoring to final manufacture. |
The benefits of process analytical technology include:
Improved product quality and uniformity
Process cost reduction
Enhanced process and product safety
Eliminating or minimizing product re-work
Reduced process cycle time
Creating a robust process that results in successful manufacture the first time
Facilitating regulatory acceptance and compliance |
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| 10 |
Essay | Please explain the significance of data fusion in improving the performance and robustness of models used for data interpretation in PAT systems.
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Process Analytical Technology (PAT) is a systematic approach for monitoring of process parameters and product quality attributes and nowadays is considered for continuous processing of many industrial products. It is a mechanism to design, analyse and control manufacturing processes through on-line, in-line, at-line and off-line configurations for monitoring Critical Quality Attributes (CQAs). PAT systems include a combination of reliable in-line sensors, spectroscopic instruments and Multivariate Statistical Methods (MSMs) to provide informative knowledge for quality assessment of powdered and granule products. |
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Continuous processing of powdered and granule products comprising the integration of multiple unit operations in one production system is getting more attention due to advantages in improved productivity, product quality and financial services. |
Nevertheless, monitoring programs of advanced manufacturing processes based on PAT systems typically provide large sets of data which are complex to interpret. The application of appropriate data-driven modelling techniques could assist in the interpretation of complex data matrices to better control of processes. Data fusion is a data-driven approach that could increase performance and robustness of models used for data interpretation to generate more accurate knowledge about process conditions and performance by merging related outputs collected from several instruments and considering synergies from multiple sources. This paper aims at presenting the current state of the art regarding the application of multi-sensors data fusion for powdered and granule manufacturing processes and making a critical review of recent progress and future possible perspectives in this field. |
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| 11 |
Which of the following is an application of in situ formed ferrite nanoparticles discussed in the Special Issue?
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Determination of synthetic cannabinoids |
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Screening, monitoring, and diagnosis are critical in oncology treatment. However, there are limitations with the current clinical methods, notably the time, cost, and special facilities required for radioisotope-based methods. An alternative approach, which uses magnetic beads, offers faster analyses with safer materials over a wide range of oncological applications. |
Magnetic beads have been used to detect extracellular vesicles (EVs) in the serum of pancreatic cancer patients with statistically different EV levels in preoperative, postoperative, and negative control samples. By incorporating fluorescence, magnetic beads have been used to quantitatively measure prostate-specific antigen (PSA), a prostate cancer biomarker, which is sensitive enough even at levels found in healthy patients. Immunostaining has also been incorporated with magnetic beads and compared with conventional immunohistochemical methods to detect lesions; the results suggest that immunostained magnetic beads could be used for pathological diagnosis during surgery. |
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| 12 |
What is the main application of a magnetic multiwalled carbon nanotube-polypyrrole nanomaterial discussed in the Special Issue?
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Separation of heavy metals in soil |
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| 13 |
What is the focus of the review paper on supramolecular solvents?
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Viscosity determination of deep eutectic solvents |
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| 14 |
What is one of the applications of metal-organic frameworks discussed in the Special Issue?
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Separation of heavy metals in water |
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| 15 |
Essay | Please explain the role of advanced materials, such as metal-organic frameworks and in situ formed ferrite nanoparticles, in improving the sustainability of sample preparation techniques.
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| 16 |
What percentage of samples were found to be negative for the selected pesticides in the analyzed green leafy vegetable samples?
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10% |
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| 17 |
Why is the developed procedure considered green?
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It uses a low amount of toxic chemicals |
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| 18 |
What analytical parameter ensures the precision of the developed method?
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Precision |
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| 19 |
What does the developed method aim to correlate with the analytical data?
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Soil fertility data |
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| 20 |
Essay | Explain the key features of the developed procedure for monitoring pesticides in green leafy vegetables and how it addresses the challenges associated with pesticide analysis.
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