Table 2.
No | Authors | Determined Compounds | Sensor | Method of Detection | Limit of Detection | Selectivity | Sensitivity |
---|---|---|---|---|---|---|---|
1 | Ye et al. [16] | Glucose | CuO nanoneedle/graphene/carbon nanofiber modified glassy carbon electrode | Amperometric detection | 912.7 A·mM−1·cm−2 | N/A † | N/A |
2 | Li et al. [17] | Glucose | Electrochemical sensor using anodized cupric oxide nanowires | Electrochemical detection | 0.3/μM | N/A | 2217.4/μA·cm−2 mM−1 |
3 | Wang et al. [18] | Glucose | Core-shell IrO2@NiO nanowires | Electrochemical detection | 0.31 μM | N/A | 1539.0 μA·mM−1·cm−2 |
4 | Du et al. [2] | Glucose | Screen-printed sensor chip | Amperometric detection | 1.1–45 mg/dL | N/A | N/A |
5 | Arakawa et al. [19] | Glucose | Mouthguard glucose sensor | Electrochemical detection | 5 mmol/L | N/A | N/A |
6 | Soni et al. [20] | Glucose | Paper based sensor and smartphone RGB analysis | Colorimetric evaluation using an RGB sensor | 24.6 mg/dL | N/A | 0.0012 pixels s−1/mg·dL−1 |
7 | Dominguez et al. [21] | Glucose | Spectrophotometric detection | Colorimetric evaluation using an RGB sensor | 0.17 mg/dL | N/A | N/A |
8 | Anderson et al. [22] | Glucose | Colloidal AgNPs/MoS2-based nonenzymatic glucose biosensor | Electrochemical detection | 0.03 μM | N/A | 9044.6 μA·mM−1·cm−2 |
9 | Bell et al. [23] | Glucose | Randomly oriented CuO nanowire networks | Amperometric detection | 0.05 mM Glucose (Gl) at +0.6 V | N/A | 0.1 nA/mM Gl in the 0–7 mM Gl range and 2.1 nA/mM Gl above 7 mM Gl |
10 | Velmurugan et al. [24] | Glucose | CuO modified screen printed carbon electrode (SPCE) | Electrochemical detection | 0.1 μM | N/A | 308.71 μA·mM−1 cm−2 |
11 | Kim et al. [25] | Glucose | Molecularly imprinted polymer binding on a conducting polymer layer | Potentiometric measurements | 1.9 (±0.15) × 10−7 M | N/A | N/A |
12 | Dutta et al. [26] | Glucose | Methylene blue, hydrazine and platinum nanoparticles | Oxidation current measurements | 2.2 pg/mL | N/A | N/A |
13 | Santana-Jiménez et al. [27] | Glucose | Paper-based sensors | Naked-eye detection | 47 μM | N/A | 1.81 A.U./mg |
14 | Mitchell et al. [28] | Cortisol | Surface plasmon resonance (SPR) immunosensor | Surface plasmon resonance | 49 pg/mL | N/A | 162 RU.mL/ng |
15 | Pires et al. [29] | Cortisol | Chemiluminescent organic-based immunosensor | Organic photodetection | 80 pg/mL | N/A | 685 pg/mL |
16 | Usha et al. [30] | Cortisol | Lossy mode resonance-based fiber optic | Fiber optic real-time detection | 25.9 fg/ml | N/A | N/A |
17 | Frasconi et al. [31] | Cortisol and cortisone | Surface plasmon resonance (SPR) immunosensor | Surface plasmon resonance | Cortisol: 4 μg·L−1 Cortisone: 10 μg·L−1 |
N/A | N/A |
18 | Ballesta Claver et al. [32] | Blood lactate | Electrochemiluminescent biosensor | Electrochemiluminescence detection | N/A | N/A | N/A |
19 | Kim et al. [33] | Uric acid | Screen-printing technology on a flexible polyethylene terephthalate substrate | Potentiometric measurements | N/A | 350 μM | 1.08 μA/mM |
20 | Ciui et al. [34] | N-epsilon (carboxymethyl)lysine (CML) | Cavitas electrochemical sensor in mouthguard | Electrochemical detection | 0.81 μM | N/A | N/A |
21 | Lee et al. [35] | Salivary proteins | Molecularly imprinted thin films | Quartz crystal microbalance detection | 0.1 mg/mL | N/A | N/A |
22 | Attia et al. [36] | Salivary proteins | Nano-optical sensor | Spectrofluorimetric detection | 5.7 × 10−1 mol/L−1 | N/A | N/A |
23 | Mohseni et al. [37] | Matrix metalloproteinases (MMP-9) | Carboxymethyldextran hydrogel sensor chip with immobilized monoclonal MMP-9 antibodies | Surface plasmon resonance | 8 pg/mL | N/A | High (recovery rate of ~94%) |
24 | Ritzer et al. [38] | Matrix metalloproteinases (MMP-1, MMP-8, MMP-9) | Diagnostic chewing gum | Peptide sensors | N/A | N/A | N/A |
25 | Wang et al. [39] | Human serum albumin | Homogeneous fluorescent sensor | Fluorescence resonance energy transfer | 3.9 ng/mL | N/A | N/A |
26 | Gorodkiewicz et al. [40] | Cystatin | Surface Plasmon Resonance Imaging (SPRI) biosensor | Surface Plasmon Resonance Imaging | 0.1 μg/mL | N/A | N/A |
27 | Gorodkiewicz et al. [41] | Cathepsin D (CatD) and cathepsin E (CatE) | Surface plasmon resonance imaging (SPRI) biosensor | Surface Plasmon Resonance Imaging | 0.12 ng mL−1 | N/A | N/A |
28 | Gorodkiewicz et al. [42] | Cathepsin G | Surface plasmon resonance imaging (SPRI) biosensor | Surface Plasmon Resonance Imaging | 0.23 ng/mL | N/A | High (recovery rate of 100%) |
29 | Wei et al. [43] | IL-8 mRNA and IL-8 protein | Electrochemical (EC) sensor | Electrochemical detection | IL-8 mRNA −3.9 fM and IL-8 protein: 7.4 pg/mL | ~90% | ~90% |
30 | Majidi et al. [44] | Tryptophan | Two ultrasensitive electrochemical sensor and aptasensor | Electrochemical detection and Electrochemical impedance spectroscopy | MWCNT-AuSPE: 3.6 × 10−10 mol L−1 and Apt-MWCNT-AuSPE: 4.9 × 10−12 mol L−1 | N/A | N/A |
31 | Puchnin et al. [45] | Potassium iodine (KI) | Calixarene tubes | Ion-selective field effect detection | ~3×10−8 M | N/A | N/A |
32 | Minami et al. [46] | Nitrate | Organic field-effect transistors | Organic field-effect detection | 45 ppb | N/A | High (recovery rate of 97.4 ± 1.8%) |
33 | Hassan et al. [47] | Thiocyanate | Potentiometric membrane sensor | Potentiometric measurements | 5.6 × 10−6 mol/L | N/A | −57.5 ± 0.5 mV decade−1 |
34 | Zheng et al. [1] | Silver and mercury | Sandwich-structured SERS probe with a gold nanohole array pattern | Surface-enhanced Raman scattering detection | 0.17 nM of Silver 2.3 pM of Mercury |
N/A | N/A |
35 | Timofeeva et al. [48] | Caffeine | PVC membrane electrode | Flow potentiometric measurements | 1.2 mg−1L | N/A | 52 ± 1 mV dec−1 |
36 | Zilberman et al. [49] | Ammonia and carbon dioxide | Portable optoelectronic microfluidic sensor | Optoelectronic detection | N/A | N/A | |
37 | Ahmed et al. [50] | Pathogenic microorganisms (Streptococcus pyogenes) | Impedimetric sensors | Impedance-based electrochemical measurements | N/A | High (4% charge transfer resistance) |
N/A |
38 | Wignarajah et al. [51] | Pathogenic microorganisms (Porphyromonas gingivalis proteases) | Multiplex colorimetric biosensor | Colorimetric detection | HNE: 1 pg/mL Cathepsin G: 100 fg/mL |
N/A | N/A |
39 | Hoyos-Nogués et al. [52] | Pathogenic microorganisms (Streptococcus sanguinis) | Peptide-based biosensor (hLf1-11) | Electrochemical impedance spectroscopy | 8.6 × 102 CFU·mL−1 | N/A | 3.85 ± 1.3 kΩ per bacteria concentration decade |
40 | Xue et al. [53] | Pathogenic microorganisms (detection of viral antibodies) | Immunoassay utilizing microchannels within a multicapillary glass plate | Fluorescence detection | 0.05 ng/mL | N/A | High (recovery ratio between 93.7%–112.2%) |
41 | Jin et al. [54] | Pathogenic microorganisms (bacteria and viruses) | Microfluidic system (SLIM) | Isothermal optical detection | N/A | N/A | 78.6% |
42 | Zaitouna et al. [55] | Anti-HIV antibodies | Electrochemical peptide-based sensor enhanced with extra amino acids | Electrochemical detection | 1 nM | N/A | Selectivity factor: 7.8 |
43 | Song et al. [56] | Cyfra 21-1 | 3DN-CNTs sensor | Fluorescence detection | 0.5 ng/mL | N/A | N/A |
44 | Chen et al. [57] | c-erbB-2 oncogene tumor marker | Fluorescent biosensor | Fluorescence detection | 20 fM | High (discrimination factor ~ 1) | RSD = 1.46% (n = 8) |
45 | Cho et al. [58] | Vascular endothelial growth factor-165 (VEGF165) | Surface-enhanced fluorescent optical sensor | Fluorescence detection | 25 pg/mL | N/A | N/A |
46 | Yu et al. [59] | Carcinoembryonic antigen | Capillary-based 3D fluoroimmunosensor | Fluorescence detection | 0.2 ng/mL | N/A | High (recovery ratio between 92.82%–118.81) |
47 | Machini et al. [60] | Acetazolamide | Electrochemical sensor using binuclear oxo-manganese complex | Electrochemical detection | 4.76 × 10−9 mol L−1 | N/A | N/A |
48 | Yu et al. [61] | Ampicillin | Electrochemical aptamer-based sensor (E-AB) | Electrochemical aptamer detection | ACV: 1 μ MSWV: 30 μM |
N/A | N/A |
49 | Hagen et al. [62] | Orexin A | Electronic based (FET) biosensor | Field-effect detection | sub-picomolar levels | N/A | N/A |
† N/A = non-applicable/not available information.