| Literature DB >> 33330355 |
Florina Truta1, Anca Florea1, Andreea Cernat1, Mihaela Tertis1, Oana Hosu1, Karolien de Wael2,3, Cecilia Cristea1.
Abstract
We summarize herein the literature in the last decade, involving the use of nanomaterials and various (bio)recognition elements, such as antibodies, aptamers and molecularly imprinted polymers, for the development of sensitive and selective (bio)sensors for illicit drugs with a focus on electrochemical transduction systems. The use and abuse of illicit drugs remains an increasing challenge for worldwide authorities and, therefore, it is important to have accurate methods to detect them in seized samples, biological fluids and wastewaters. They are recently classified as the latest group of "emerging pollutants," as their consumption has increased tremendously in recent years. Nanomaterials, antibodies, aptamers and molecularly imprinted polymers have gained much attention over the last decade in the development of (bio)sensors for a myriad of applications. The applicability of these (nano)materials, functionalized or not, has significantly increased, and are therefore highly suitable for use in the detection of drugs. Lately, such functionalized nanoscale materials have assisted in the detection of illicit drugs fingerprints, providing large surface area, functional groups and unique properties that facilitate sensitive and selective sensing. The review discusses the types of commonly abused drugs and their toxicological implications, classification of functionalized nanomaterials (graphene, carbon nanotubes), their fabrication, and their application on real samples in different fields of forensic science. Biosensors for drugs of abuse from the last decade's literature are then exemplified. It also offers insights into the prospects and challenges of bringing the functionalized nanobased technology to the end user in the laboratories or in-field.Entities:
Keywords: biological fluids; biomimetics; electrochemical sensors; illicite drugs; nanomaterials; powders; wastewaters
Year: 2020 PMID: 33330355 PMCID: PMC7672198 DOI: 10.3389/fchem.2020.561638
Source DB: PubMed Journal: Front Chem ISSN: 2296-2646 Impact factor: 5.221
Figure 1Metabolism of cocaine to major inactive metabolites, benzoylecgonine(BZ) and ecgonine methylester (EME), and to a minor active metabolite nor-cocaine (NC). Reproduced from Shimomura et al. (2019).
Figure 2Schematic representation of a (bio)sensor.
Overview list of (bio)sensors for detection of abused drugs.
| Narcotics | Morphine | RGO-Pd | - | DPV | LOQ = 0.34 μmol | Human urine | Atta et al., |
| EGO-modified SPE | - | DPV | LOD = 8.77*10−6 μmol | Urine sample | Maccaferri et al., | ||
| IL/NiO/CNTCPE | - | SWV | LOD = 0.01 μmol | Human urine, pharmaceutical samples | Sanati et al., | ||
| GNSs modified GC electrode | - | DPV | LOQ = 65 μmol | Navaee et al., | |||
| Heroine | GNSs modified GC electrode | - | DPV | LOQ = 100 μmol | Navaee et al., | ||
| Stimulants | Cocaine | Supramolecular aptasensor on supramolecular aptamer, rolling circle amplification combined with multiplex binding of the biotin-strepavidin system for cocaine detection. | The aptamer fragments were assembled to a supramolecular aptamer, in the presence of cocaine, conjugates to streptavidin for anchoring of biotinylated circular DNA. | DPV | LOD = 0.0013 μmol | Spiked urine samples | Shen et al., |
| SPCEs | - | SWV | LOQ = 10 μmol | Street samples | Asturias-Arribas et al., | ||
| Aptasensor platform | Electrodeposition of thiophene macromonomer bearing polypeptides. | DPV | Synthetic biological fluids (urine and saliva) | Bozokalfa et al., | |||
| Pt-SPEs | Pt-SPEs was covered COHCFe | CV | LOD = 28.8 μmol | Seized samples | Balbino et al., | ||
| BDDE | - | BIA-SWV | LOQ = 0.198 μmol | - | Freitas et al., | ||
| GSPE | SWV | LOD = 3 μmol | Street samples | De Jong et al., | |||
| GPH-SPE | The electrodeposition of PABA and OPD | SWV | LOQ = 50 μmol | - | Florea et al., | ||
| Ultrasensitive electrochemical nanoaptasensor | 1. Deposition of AuNPs on the surface of GCE | DPV | - | Serum | Roushani and Shahdost-Fard, | ||
| Potentiometric sensor based on nanoMIPs | - | - | LOQ = 0.001 μmol | Blood serum sample | Smolinska-Kempisty et al., | ||
| Methcatinone | SPEs | - | CV | LOQ = 0.098 μmol | - | Smith et al., | |
| Mephedrone | SPEs | - | CV | LOQ = 0.09 μmol | - | Smith et al., | |
| MEC | SPEs | - | CV | LOQ = 0.083 μmol | - | Smith et al., | |
| Methcathinone | MIF | - | DPV | LOD = 0.0202 nmol | Serum samples | Zang et al., | |
| Cathinone | MIF | - | DPV | LOD = 0.059 nmol | Serum samples | Zang et al., | |
| - | - | ||||||
| MDMA | EPAD coated with ZnONRs | - | CV | LOQ= 1 μmol | Human saliva, sweat, and urine. | Narang et al., | |
| SPEs | - | DPV | LOD = 0.207 μmol | - | Cumba et al., | ||
| PMA | SPEs | - | DPV | LOD = 0.048 μmol | - | Cumba et al., | |
| MDMA/PMA | SPEs | - | DPV | LOD = 1.29/0.227 μmol | - | Cumba et al., | |
| Cannabis | SCs | - | - | ||||
| - | |||||||
| Δ9 −THC | SPE with NAMM | - | CA | LOQ = 79.64 nmol | Saliva | Wanklyn et al., | |
| GC disk electrode | 30 s pre-concentration step under an applied potential of −1.2 V | CV | LOD = 1.08 nmol | Hamp and hashish confiscated by the police | Balbino et al., | ||
| C-SPEs | Pt-SPEs was covered COHCFe | CV | Seized samples | Balbino et al., |
RGO-Pd, Graphene-palladium-hybrid-modified glassy carbon electrode; EGO-modified SPE, screen-printed electrode modified by a graphene oxide coating; DPV, Differential pulse voltammetry; IL/NiO/CNTCPE, ionic liquid modified NiO/CNTs carbon paste electrode; SWV, square wave voltammetry; GNSs, Graphene nanosheets; GC, glassy carbon; DDIAS, DNA-directed immobilization of aptamer sensors; SPCEs, Carbone-based SPEsScreen printed carbon electrodes; MWCNTs-SPEs, Screen printed electrodes modified with multi wall carbon nanotubes; Δ.
Figure 3The oxidation mechanism of morphine. Reproduced from Navaee et al. (2012).
Figure 4The principle of working of a polymer-based sensor for the detection of cocaine in presence of levamisole. Florea et al. (2018) with permission from Talanta.
Limits of detection determined in live and post-mortem whole blood samples (Sørensen, 2011).
| Norephedrine | 13.22 | 17.85 |
| Cathine | 13.24 | 14.56 |
| Ephedrine | 16.36 | 15.15 |
| Pseudoephedrine | 17.57 | 18.18 |
| Cathinone | 14.09 | 20.8 |
| Flephedrone | 16.02 | 17.12 |
| Metcathinone | 8.58 | 12.88 |
| Metylephedrine | 13.96 | 12.84 |
| Methylpseudoephedrine | 7.8 | 8.92 |
| Ethcathinone | 8.37 | 7.85 |
| Methylone | 4.83 | 5.31 |
| Methedrone | 2.61 | 4.35 |
| Mephedrone | 3.95 | 4.51 |
| Butylone | 4.07 | 4.07 |
| Amfepramone | 2.43 | 3.41 |
Overview of sensors based on graphene and CNTs platforms.
| Graphene | Morphine | Electrochemically exfoliated graphene | 8.77 nmol L−1 | Maccaferri et al., |
| Cathinone | Graphene/MIP | 0.059 pmol mL−1 | Zang et al., | |
| Methcathinone | 0.02 pmol mL−1 | |||
| Cocaine | GO/AuNPs/aptamers | 1 nmol L−1 | Jiang et al., | |
| Morphine | RGO/Pd | 0.012 μmol L−1 | Atta et al., | |
| Cocaine | Magnetic graphene | 1.5 pmol L−1 | Tang et al., | |
| Cocaine | RGO/AuNPs/Polyaniline/aptamer | 0.029 nmol L−1 | Hashemi et al., | |
| CNTs | Cocaine | MWCNTs-SPE | 10 μmol L−1 | Asturias-Arribas et al., |
| Cocaine | MWCNTs-COOH/cyclodextrin | 1.02 μmol L−1 | Garrido et al., | |
| Morphine | NiO/CNTs | 0.01 μmol L−1 | Sanati et al., | |
| Morphine | MWCNTs/carbon paste | 0.09 mol L−1 | Mokhtari et al., | |
| Fentanyl | MWCNTs/4-(3-butyl-1-imidazolio)-1-butanesulfonate | 10 μmol L−1 | Barfidokht et al., |
MIP, molecularly imprinted polymer; RGO, reduced graphene oxide; PdNPs, palladium nanoparticles; GO, graphene oxide; AuNPs, gold nanoparticles; SPE, screen printed electrode; MWCNTs, multiwalled carbon nanotubes.
Figure 5MIP-based sensor fabrication for the detection of cocaine. Reproduced from Florea et al. (2019a) with permission from the Royal Society of Chemistry.