| Literature DB >> 35214505 |
Abstract
All pharmaceutical drugs, vaccines, cosmetic products, and many medical breakthroughs must first be approved through clinical research and trials before advancing to standard practice or entering the marketplace. Clinical trials are sets of tests that are required to determine the safety and efficacy of pharmaceutical compounds, drugs, and treatments. There is one pre-phase and four main clinical phase requirements that every drug must pass to obtain final approval. Analytical techniques play a unique role in clinical trials for measuring the concentrations of pharmaceutical compounds in biological matrices and monitoring the conditions of patients (or volunteers) during various clinical phases. This review focuses on recent analytical methods that are employed to determine the concentrations of drugs and medications in biological matrices, including whole blood, plasma, urine, and breast milk. Four primary analytical techniques (extraction, spectroscopy, chromatography, and electrochemical) are discussed, and their advantages and limitations are assessed. Subsequent to a survey of evidence and results, it is clear that microelectromechanical system (MEMS) based electrochemical sensor and biosensor technologies exhibit several notable advantages over other analytical methods, and their future prospects are discussed.Entities:
Keywords: MEMS; analytical methods; clinical trials; drugs; sensors and biosensors
Mesh:
Substances:
Year: 2022 PMID: 35214505 PMCID: PMC8875021 DOI: 10.3390/s22041592
Source DB: PubMed Journal: Sensors (Basel) ISSN: 1424-8220 Impact factor: 3.576
Scheme 1Illustration of Clinical Trial phases.
Scheme 2Illustration of pharmacological classifications and examples of the three attributes.
Figure 1Four steps of SPE: conditioning, loading, washing, and elution. Reprinted by permission from [15]. Copyright 2018 Elsevier.
Figure 2Application of surface-enhanced Raman scattering spectroscopy (SERS) in clinical trials. Reprinted by permission from [28].
Figure 3Fluorescence-based assay as a new screening tool for toxic chemicals in clinical trials, (a) human olfactory system, (b) electronic analogue, and (c) our optical analogue. Reprinted by permission from [35].
Figure 4FTIR spectroscopy for biomolecules in human blood. Reprinted by permission from [41]. Copyright 2020 Elsevier.
Figure 5(A) Density and size of lipoprotein composition (B) 1H NMR spectrum of a serum sample. (C) Different lipoprotein signals from several samples with differing compositions. Reprinted by permission from [44]. Copyright 2018 ACS Publications.
Figure 6Workflow of the EV purification process. Purification method based on clarification (low-speed centrifugation and filtration), ultrafiltration, and size exclusion chromatography, which can be operated in batch or continuous mode (top route); isolation method based on two ultracentrifugation stages of 100,000× g. Reprinted by permission from [50]. Copyright 2019 Elsevier.
Figure 7High performance thin-layer chromatography (HPTLC) analysis of cannabinoids. Reprinted by permission from [58]. Copyright 2020 Elsevier.
Figure 8Principle of dye-ligand chromatography. Reprinted by permission from [62]. Copyright 2001 Elsevier.
Application, advantages, and disadvantages of chromatographic methods in clinical trials. and participation rate.
| Method | Separation Basis | Advantages | Disadvantages | Separatable Compounds | Ref. | |
|---|---|---|---|---|---|---|
|
| PC | Different rates of separation across paper | Cheap, simple, and user-friendly method | Separate low number of samples, no quantitative analysis | Complex and volatile compounds | [ |
| CC | Size, polarity, or hydrophobicity | Compatible with most complex mixtures, user friendly method | Expensive, time consuming, no quantitative analysis | Nanovesicles | [ | |
| GPC | Sieving molecules based on their size | Simple and reliable method | Limitation in volume of sample, low capacity for separation | Proteins, polysaccharides, enzymes, and polymers | [ | |
| TLC | Capillary force | Simple, cheap, and user friendly | Limitation for volatile samples and low accuracy and pression | Non-volatile pharmaceutical compounds | [ | |
| AC | Reversible interaction between analyte and specific ligand | High reliability, great sensitivity and specificity | Complicated maintenance, costly | Purification of enzymes, protein and analyzing vaccines | [ | |
| DLC | Reversible interaction between analyte and specific | Inexpensive and user-friendly | Limitation in selectivity of dye legends | Proteins, enzymes, coenzymes, cofactors, antibodies, and amino acids | [ | |
| HIC | Interacts with the hydrophobic ligand | High efficiency and sensitivity | Costly buffer (salt) | Separate proteins | [ | |
| GC | Vaporise samples and sperate through column | Fast and very high efficiency | Only compatible for volatile and thermally stable analytes | Volatile and thermally stable analytes | [ | |
| IEC | Charge of chemical and biological groups | Efficient and cheap in column price | Costly buffer | Proteins, enzymes, peptides, amino acids, and antibodies | [ | |
| RP-HPLC | Pressurising the mixture of mobile phase and sample through the column | Fast, reproducible, and efficient method with high accuracy and precision | Costly and complicated maintenance | Most pharmaceutical compounds | [ |
Figure 9Setup of clinical voltammetry research. (A) Rat surgery setup. Recording and stimulating electrodes were inserted unilaterally into the core of the nucleus acumens and medial forebrain bundle, respectively. The counter-reference Ag/AgCl electrode was inserted contralaterally into cortical tissue. The rat was placed in a stereotactic frame with tail vein access, heating pad, and a pulse oximetry monitoring electrode. Elements of the Figure were created using Biorender.com. (B,C) Schematic design of waveform-CSWV applied to the CFM and its response. (D) Left-to-right: raw voltammogram following the removal of background currents, high-dimensional pseudo-color plot, M-CSWV signal calibration with tonic dopamine experiment (n = 4 electrodes). Reprinted by permission from [83].
Figure 10Working mechanism of electrochemical biosensor for the determination of DNA and amplified electrochemical signal quantified by DPV. Reprinted with permission from [87]. Copyright 2019 Elsevier.
Figure 11Determination of catalyzed peptide (paPSA) using differential pulse anodic stripping voltammetry (DPASV). Reprinted by permission from [92]. Copyright 2017 Elsevier.
Figure 12Cyclic voltametric responses of 1.0 mM COD at pH 2.0–9.0 using FSG/SPE sensing platforms at a scan rate of 0.1 V s−1. The inset displays the relation of IP versus pH. Reprinted by permission from [97]. Copyright 2018 Elsevier.
Figure 13Hydro dynamic Cell. (A) Plates of Hydrodynamic Channel Cell (HCC) and (B) Electrochemical system. Reprinted by permission from [99].
Figure 14Preparation immunosensor (SWCNHs) based on electrochemical impedance spectroscopy (A) Stepwise functionality of a modified electrode (B), Modified glassy carbon electrode (GCE) by Au-Gra layer and anti-AFP antibody. Therefore, AFP will be detected in a sandwich configuration. Reprinted by permission from [109]. Copyright 2018 John Wiley and Sons.
Figure 15Configuration of a biosensor showing biorecognition, interface, and transduction elements. Reprinted by permission from [110].
Figure 16Structure of antibody biosensor. Reprinted by permission from [113].
Figure 17Modification of screen-printed electrode (SPE) with molecular imprinted polymer (MIP). Reprinted by permission from [129]. Copyright 2020 Elsevier.