| Literature DB >> 33806173 |
Qurat Ul Ain Zahra1,2, Zhaofeng Luo2, Rizwan Ali1, Muhammad Imran Khan1, Fenfen Li1, Bensheng Qiu1.
Abstract
Misuse of antibiotics has recently been considered a global issue because of its harmful effects on human health. Since conventional methods have numerous limitations, it is necessary to develop fast, simple, sensitive, and reproducible methods for the detection of antibiotics. Among numerous recently developed methods, aptasensors are fascinating because of their good specificity, sensitivity and selectivity. These kinds of biosensors combining aptamer with colorimetric applications of gold nanoparticles to recognize small molecules are becoming more popular owing to their advantageous features, for example, low cost, ease of use, on-site analysis ability using naked eye and no prerequisite for modern equipment. In this review, we have highlighted the recent advances and working principle of gold nanoparticles based colorimetric aptasensors as promising methods for antibiotics detection in different food and environmental samples (2011-2020). Furthermore, possible advantages and disadvantages have also been summarized for these methods. Finally, the recent challenges, outlook, and promising future perspectives for developing novel aptasensors are also considered.Entities:
Keywords: AuNPs-based aptasensors; antibiotic residue pollution; antibiotics detection; aptamer-based sensors; aptasensors for antibiotics; colorimetric aptasensors; colorimetric biosensors
Year: 2021 PMID: 33806173 PMCID: PMC8066193 DOI: 10.3390/nano11040840
Source DB: PubMed Journal: Nanomaterials (Basel) ISSN: 2079-4991 Impact factor: 5.076
Figure 1(A) Scheme to show main types of biosensors to highlight aptasensor, classification of aptasensors based on its major components to highlight Gold Nanoparticles (AuNPs) based colorimetric aptasensors. (B) Generalized depiction of an aptamer library folding to form secondary structure in order to bind with high affinity target molecule to finally make aptamer-target complex. (C). Properties of Gold nanoparticles and calorimetry. (D) A generalized illustration on working principle of colorimetric aptasensor when bio-recognition element (BRE) combines with signal transduction element (STE) to make a colorimetric aptasensor to detect small molecular targets.
Classification of seven antibiotic classes (basic structure highlighted in green), and their different derivatives (alterations from green to black molecular structures).
| Antibiotic Class | Antibiotic | Molecular Structures |
|---|---|---|
| β-Lactams | Ampicillin (AMP) |
|
| Aminoglycosides | Kanamycin (KAN) |
|
| Tobramycin (TOB) |
| |
| Streptomycin (STR) |
| |
| Neomycin B (NB) |
| |
| Anthracyclines | Daunomycin (DNR) |
|
| Chloramphenicol | Chloramphenicol (CAP) |
|
| Fluoroquinolones | Ciprofloxacin (CIP) |
|
| Tetracyclines | Oxytetracyclines (OTC) |
|
| Tetracycline (TET) |
| |
| Sulfonamides | Sulfadimethoxine (SDM) |
|
Summary of important parameters/results for each method discussed (aptamer sequence, linker and spacers, dissociation constant (K, limit of detection (LOD), color change in the presence or absence of target, AuNPs particle diameter and preparation methods for each method, mentioned in the corresponding references (Ref.).
| Target | 5′ Linker and Spacer | Aptamer Sequences 5′→3′ | 3′ Linker and Spacer | KD | LOD | Color Change | AuNP Particle Size (nm) | AuNP Preparation Method | Ref. |
|---|---|---|---|---|---|---|---|---|---|
| AMP | FAM | AMP17: GCG GGC GGT TGT ATA GCG G | biotin | 13.4 | 14.3 (dw) | Red-purple | 13 | classical citrate reduction method | [ |
| AMP | (SH)–(CH2)6 | -GCGGGCGGTTGTATAGCGG | (T)15–(A)12 | 0.10 | 10 | Red-purple | 10 | Smith method | [ |
| KAN | - | TGG GGG TTG AGG CTA AGC CGA | - | 8.38 | 1.49 | Ruby red to | - | classical citrate reduction method | [ |
| KAN | - | TGGGGGTTGAGGCTAAGCCGA | - | KAN = 78.8 | 25 | Red-purple | 13 | classical citrate reduction | [ |
| KAN | - | SDM; GAGGGCAACGAGTGTTTATAGA | - | - | - | Red-purple/blue | 13 | Classical citrate reduction | [ |
| KAN | - | (KBA) 3-1; CGG AAG CGC GCC ACC CCA TCG GCG GGG GCG AAG CTT GCG | - | - | 3.35 | wine red to purple blue | 14, 21, 27 | citrate reduction of HAuCl4 | [ |
| KAN | Apt; HS–(CH2)6 | Apt; TGG GGG TTG AGG CTA AGC CGA | apt: biotin | - | 0.0778 | Red- colorless or faint red | 13 | citrate reduction of HAuCl4 | [ |
| KAN | ssDNA1; HS–(CH2)6- | KSA; TGGGGGTTGAGGCTAAGCCGA | ssDNA2; (CH2)3–SH | - | 01 | Red-purple | 13 | citrate reduction of HAuCl4 | [ |
| KAN | KMC apt; NH2 | KMC apt; TGGGGGTTGAGGCTAAGCCGA | - | - | 2.5 | Pink to white | 15–20 | citrate reduction method | [ |
| KAN | - | TGG GGG TTG AGG CTA AGC CGA | (T)15–(A)12 | - | 0.05 | Red to blue | 15 | citrate reduction method | [ |
| TOB | - | GGG ACT TGG TTT AGG TAA TGA GTC CC | - | - | 23.3 | red-purple-blue | 13 | classical citrate reduction | [ |
| TOB | - | - | - | - | 37.9 | red to purple | - | - | [ |
| STR | - | I: GGG GTC TGG TGT TCT GCT TTG TTC TGT CGG GTC GT | - | I: 199.1 | 200 | red to purple | 13 | citrate reduction of HAuCl4 | [ |
| STR | I: FAM | I: CCC GTT TAA AGT AGT TGA GAG TAT TCC GTT TCT TTG TGT C | I: biotin | I: 6.07 | 25 nm/L | red to purple | 15 | citrate reduction of HAuCl4 | [ |
| STR | SH–(CH2)6- | TAG GGA ATT CGT CGA CGG ATC CGG GGT CTG GTG TTC TGC TTT GTT CTG TCG GGT CGT CTG CAG GTC GAC GCA TGC GCC G | - | - | 0.0017 (b) | colorless to blue | 19.73 | Au NPs–PV | [ |
| STR | - | TAGGGAATTCGTCGACGGATCCGGGGTCTGGTGTTCTGCTTTGTTCTGTCGGGTCGTCTGCAGGTCGACGCATGCGCCG | - | 19.1 | 86 | red-grayish green | 13 | citrate reduction of HAuCl4 | [ |
| STR | - | STR apt: TAG GGA ATT CGT CGA CGG ATC CGG GGT CTG GTG TTC TGC TTT GTT CTG TCG GGT CGT CTG CAG GTC GAC GCA TGC GCC G | - | - | 73.1 (b) | red to blue | 15 | citrate reduction of HAuCl4 | [ |
| NB | - | AP-W; GGACUGGGCGAGAAGUUUAGUCC | - | - | 470 | pink red to Blue | 13 | citrate reduction of HAuCl4 | [ |
| DNR | - | GGGAATTCGAGCTCGGTACCATCTGTGTAAAAGGGGTGGGGGTGGGTACGTCTAGCTGCAGGCATGCAAGCTTGG | - | - | 17.1 | red to purple | 13 | reduction of HAuCl4 | [ |
| CAP | AuNPs DNA; Biotin | Apt; ACTTCAGTGAGTTGTCCCACGGTCGGCGAGTCGGTGGTAG | Apt; Biotin | - | 0.451 (b) 0.697 (m) 0.601 | bright red to faint red | 14 | reduction of HAuCl4 | [ |
| CAP | apt: SH–(CH2)6 | apt: ACT TCA GTG AGT TGT CCC ACG GTC GGC GAG TCG GTG GTA G | - | - | 0.00093 (b) (0.3 × 10−9 g/L) | colorless | 20 | slight modified Frens method | [ |
| CAP | apt: | apt: ACT TCA GTG AGT TGT CCC ACG GTC GGC GAG TCG GTG GTA G | - | - | 0.02 ng/mL | colorless to light blue | 20 | slight modified Frens method | [ |
| CAP | Apt; SH–(CH2)6 | Apt; ACT TCA GTG AGT TGT CCC ACG GTC GGC GAG TCG GTG GTAG | - | - | 0.046 (b) (0.015 × 10−6 g/L) | colorless to light blue | 16 | slight modified Frens method | [ |
| CAP | Apt;Biotin | Apt; ACT TCA GTG AGT TGT CCC ACG GTC GGC GAG TCG GTG GTA G | - | - | 0.13 pg/mL | red to blue | 13 | reduction of HAuCl4 | [ |
| CAP | - | ACTTCAGTGAGTTGTCCCACGGTCGGCGAGTCGGTGGTAG | - | - | 7.65 | red to blue | 15 | Huang et al. | [ |
| CAP | - | Multi-apt; ACTTCAGTGAGTTGTCCCACGGTCGGCGAGTCGGTGGTAGCGGTGGTG | - | - | CAP.7.0 | (CAP) wine red to purple | 15 | Huang et al. | [ |
| CAP | - | Apt; ACT TCA GTG AGT TGT CCC ACGGTC GGC GAG TCG GTG GTAG | - | - | 0.03 | pink red to blue | 14 | Classical reduction of HAuCl4 | [ |
| FQs | CS2; Thiol | Apt; ATACCAGCTTATTCAATTGCAGGGTATCTGAGGCTGATCTACAATGTCGTGGGGCATTTATTGGCGTTGATACGTACAATCGTAATC AGTTAG | CS1; Thiol | - | 1.2 (CIP) | yellow to colorless | 12 | classic citrate reduction | [ |
| OTC | - | CGTACGGAATTCGCTAGCGGGCGGGGGTGCTGGGGGAATGGAGTGCTGCGTGCTGCGGGT CCGAGCTCCACGTG- | - | - | 25 | red to purple | 13 | citrate reduction of HAuCl4 | [ |
| OTC | - | CGTACGGAATTCGCTAGCACGTTGACGCTGGTGCCCGGTTGTGGTGCGAGTGTTGTGTGGATCCGAGCTCCACGTG | - | - | 01 | red to purple | 13 | citrate reduction of HAuCl4 | [ |
| OTC and | - | OTC apt; CGTACGGAATTCGCTAGCGGGCGGGGGTGTGGGGGAATGGAGTGCTGCGTGCTGCGGGGT CCGAGCTCCACGTG | - | - | 1 ag mL−1 | colorless to blue or yellow | 10 | citrate reduction of HAuCl4 | [ |
| OTC | - | CGA CGC ACA GTC GCT GGT GCG TAC CTG GTT GCC GTT GTG T | - | - | 10 (w) | red to blue | 13 | Classical citrate reduction | [ |
| TET | - | CGTACGGAATTCGCTAGCCCCCCGGCAGGCCACGGCTTGGGTTGGTCCCACTGCGCGTGGATCCGAGCTCCACGTG | - | - | 122 | purple to red | 13 | citrate reduction of HAuCl4 | [ |
| TET | - | CGTACGGAATTCGCTAGCCCCCCGGCAGGCCACGGCTTGGGTTGGTCCCACTGCGCGTGGATCCGAGCT CCACGTG | - | - | 45.8 | red to purple | 15 | citrate reduction of HAuCl4 | [ |
| TET | - | Apt; CTCTCTCGGTGGTGTCTCTC | - | - | 266 pM | red to blue | 15 | classical citrate reduction of HAuCl4 | [ |
| TET | - | CGT ACG GAA TTC GCT AGC CCC CCG GCA GGC CAC GGC TTG GGT TGG TCC CAC TGC GCGTGG ATC CGA GCT CCA CGT G | - | - | 0.039 µg/mL | red to blue | 13 | - | [ |
| TET | SH–(CH2)6 | CGT ACG GAA TTC GCT AGC CCC CCG GCA GGC CAC GGC TTG GGT TGG TCC CAC TGC GCG TGG ATC CGA GCT CCA CGT G | - | - | 0.002 ng/mL, | colorless to blue | 18 | classical citrate reduction of HAuCl4 | [ |
| SDM | - | SDM apt; GAGGGCAACGAGTGTTTATAGA | - | - | 50 ng/m | red to blue | 13 | Mayer’s method | [ |
| SDM | - | GAGGGCAACGAGTGTTTATAGA | - | - | 10 ng/mL | red to purplish-blue | 13 | citrate reduction method | [ |
| SDM | - | SDM apt; GGC AAC GAG TGT TTA | - | - | 3.41 ng mL−1 (w) | red to blue/purple | 13 | citrate reduction method | [ |
Ampicillin (AMP), Kanamycin (KAN), Tobramycin (TOB), Streptomycin (STR), Neomycin B (NB), Daunomycin (DNR), Chloramphenicol (CAP), Ciprofloxacin (CIP), Oxytetracycline (OTC), Tetracycline (TET), Sulfadimethoxine (SDM), apt = aptamer, cDNA = complementary DNA, FAM = fluorescein amidite, m = milk, dw = distilled water, w = water, f = fish, bs = blood serum, and b = blood.
Figure 2(A) Schematic depiction of the ‘turn-on/turn-off’ nanozyme catalytic activity of aptamer-functionalized AuNPs for Kanamycin (KAN) detection (Step A) showing intrinsic peroxidase activity of AuNPs when they ‘turn-off’ after functionalization with Ky2 in the absence of KAN (Step B), and ‘turn-on’ again in the presence of KAN (Step C) (Reproduced with permission from [61] © 2014 Royal Society of Chemistry). (B) A schematic illustration of multiplex antibiotic detection using a colorimetric aptasensor based on a simple working principle (Reproduced with permission from [63] © 2014 Plos ne). (C) A schematic demonstration of a paper chip-based AuNPs colorimetric aptasensor for KAN detection (Reproduced with permission from [64] © 2017 Elsevier).
Summary of advantages and disadvantages of the reported methods to make a comparison within each antibiotic class and with different classes.
| Antibiotic Group/Class | Advantages | Disadvantages |
|---|---|---|
|
|
High detection accuracy dual aptasensor with fluorescence and colorimetric approaches proved to be rapid and highly sensitive [ | - |
|
|
Quick visual readouts (within 3–8 min), high selectivity for quantitative detection of KAN, 15 folds more sensitive and 20 times faster than the conventional aptamer approaches [ Rapid, easy, and low-cost detection, visible without any microscope, applications in pharmaceutical preparations and food products [ Multiplex detection (3 targets simultaneously). Maintains the same sensitivity as a single-target aptasensor for each individual target by adsorbing more than one class of aptamers onto the surface of AuNPs. Simple design, easy operation, quick response, cost effectiveness and no need for sophisticated instrumentation. Used to screen a variety of samples needed to be screened for multiple antibiotics [ Equipment-free, rapid and on-site ultra-sensitive paper chip-based readout using the naked eye. Point-of-care monitoring for food and environmental safety [ Multiple incubation and washing steps are avoided. Process completed in 10 min. Lateral flow strip biosensor exhibited high specificity and stability. Detects KAN in various food samples, indicating its great potential in field testing. Qualitative detection by naked eyes or quantitative by a scanning reader [ High selectivity and applicability to detect KMC in drinking water and milk samples [ Preparation time is short (few minutes). Does not require expensive instruments or a skilled user. Accurate and reliable clinical applications for KAN detection in serum [ Quick and cost-effective detection of STR residues in food safety [ Point of care testing in food safety [ Could be extended to detect biological and environmental samples by replacing corresponding aptamers. Easy to fabricate, favors large-scale production and applications. The accuracy is guaranteed to some extent [ |
Unable to identify individual targets when a sample tests positive [ Different food matrices influence the sample composition and sensitivity of detection to a certain extent (e.g., the matrix of milk and milk powder can cause interference in the detection, and the pretreatment can lead to loss of the target to some extent. Thus, the visual detection limits for milk and milk powder samples are higher than that of the standard solution [ Preparation process is time consuming and complex [ |
|
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On-site, real-time detection, cost effective and reflection time is only 5 min [ | - |
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Time saving, facile and sensitive than commercial ELISA kits. Can be extended by changing the aptamer sequences to detect ultra-trace level of different antibiotics [ More specific, faster and cheaper on site detection [ Excellent performance with real samples, sensitivity comparable to electrochemical biosensors. Exhibit high stability and repeatability [ Display tolerance to high salt concentrations. Multiplex detection via naked eye, analysis using absorption spectroscopy or smartphone in real samples, cheap, consistent results with desirable recoveries [ Portable set-up with strong anti-interference ability and high selectivity [ |
La3+ (trigger agent) could limit in-situ applications due to poor biocompatibility and storage instability. Sensitivity and specificity must be further improved [ |
|
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Flower-shape structure of modified AuNPs warrant that the modified AuNPs do not have any catalytic ability in the absence of target in real samples [ | - |
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In-situ detection via naked eye or UV-vis spectrometer, highly specific and sensitive detection [ Reflectance method offers more flexibility in terms of system construction compared with absorbance method. Small amounts of sample and reagents are enough for detection [ Rapid, low cost and convenient operation without laborious procedures. It can be extended for the analysis of a wide spectrum of antibiotics by changing the aptamer sequences [ Easy-to-build, selective, sensitive and fast detection. Easy realization of material preparation, high selectivity, low detection threshold and high stability of batches [ | - |
|
|
In-situ detection, simple, fast, and easy to read [ Fast, sensitive, cost-effective, reliable and can be extended for other analytes [ |
Only provides a rapid screening of SDM in samples, the results must be rechecked via instrumental methods, such as HPLC-tandem mass spectrometry [ |
Figure 3(A) Schematic figure showing system alignment and detection principle of strip aptasensor for KAN (Reproduced with permission from [65] © 2018 Royal Society of Chemistry). (B) Schematic diagram to represent spectrophotometric kanamycin detection (Reproduced with permission from [66] © 2014 Royal Society of Chemistry). (C) Scheme depicting the suggested biosensing of STR dependent on the developed colorimetric aptasensor (Reproduced with permission from [72] © 2017 Elsevier).
Figure 4(A) Illustration of the detection processes related to color change based on chloramphenicol (CAP) presence or absence (Reproduced with permission from [78] © 2015 Royal Society of Chemistry). (B) Schematics showing CAP detection based on AuNPs colorimetric method. In the absence of target, the sandwich aptasensor results in bright red color. In the presence of CAP, modified AuNPs cannot bind to the well, with a subsequent pale red color change (Reproduced with permission from [77] © 2016 Elsevier).
Figure 5(A) Scheme showing the proposed working principle of CAP detection using cDNA–AuNPs–PV as a signal tag (Reproduced with permission from [79] © 2015 Royal Society of Chemistry). (B) Schematic diagram exhibiting TET/CAP detection in which the multi-Aptamer acts as a molecular switch adjusting the AuNPs aggregation. When a specific target removes the fragment of its particular Apt from the AuNPs surface, unbalanced AuNPs aggregation occurs at different scales under high-salt conditions, causing colloidal color changes, which can be detected by UV-spectrum and Smartphone analysis, respectively (Reproduced with permission from [81] © 2020 Elsevier).
Figure 6(A) The schematics showing the reflectance-based multi-well plate colorimetric aptasensor using AuNPs (Reproduced with permission from [50] © 2015 Royal Society of Chemistry). (B) Schematic explanation of TET detection based on colorimetric triple-helix molecular switch (THMS). In the absence of Tetracycline (TET), THMS (Aptamer + STP) remains stable, resulting in AuNPs aggregation by salt, color changes from red to blue. In the presence of TET, aptamer binds to its target, the signal transduction probe (STP) leaves the THMS and adsorbs on the surface of AuNPs thus stabilizing them, so no color change (Reproduced with permission from [87] © 2015 Elsevier). (C). Illustration of the proposed gold nanoparticle-linked competition-based aptamer assay (Reproduced with permission from [89] © 2020 MDPI).