Synthesis of Copper Nanocluster and Its Application in Pollutant Analysis
Abstract
:1. Introduction
2. Preparation Methods and Sensing Mechanism of Cu NCs
2.1. Preparation Methods
2.1.1. Blue Emission
2.1.2. Green Emission
2.1.3. Orange/Red Emission
2.1.4. Near Infrared Emission
2.2. Sensing Mechanisms
2.2.1. Turn Off
2.2.2. Turn On
2.2.3. Ratiometric Analysis
3. Sensing Applications Based on Cu NCs
3.1. Pesticides as Target Analytes
3.2. Heavy Metals as Target Analytes
3.2.1. Mercury Ions
3.2.2. Lead Ions
3.2.3. Chromate Anions
3.2.4. Copper Ions
3.3. Sulfide as Target Analytes
3.4. Others
4. Conclusions and Perspectives
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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No | Analytes | Sensors | Ex./Em. Maxima (nm) | Sensing Mechanism | Linear Range | Limit of Detection (LOD) | Real Sample | Ref. |
---|---|---|---|---|---|---|---|---|
1 | Paraoxon | Cu NCs @ BSA-SWCNT/GCE | 325/420 | electrochemical method | 0.05–0.5 μM 0.5–35 μM | 12.8 nM | water | [12] |
2 | Thiram Paraquat | Egg white- Cu NCs | 344/600 | turn off | 0.5–1000 μM 0.2–1000 μM | 70 nM 49 nM | water | [45] |
3 | Metham sodium | CTAB-Cu NCs | 254/620 | fluorescent based colorimetric method | 1–100 mg kg−1 | 0.63 mg kg−1 | apple, pear and cherry tomato | [68] |
4 | Fluazina | L-Cys-Cu NCs | 365/497 | turn off | 0.05–25 µM | 1.4 nM | pears and cabbage | [33] |
5 | o-Phenylenediamine | GSH-Cu NCs | 334/432 | ratiometric | 0.15–110 μg L−1 | 93 ng L−1 | industry water | [27] |
6 | Nitrofurantoin | Adenosine-Cu NCs | 285/417 | turn off | 0.05–4.0 μM | 30 nM | lake water | [16] |
7 | Dinotefuran | S-CQDs/Cu NCs | 330/430 | ratiometric | 10–500 μM | 7.04 μM | honey | [67] |
8 | AChE Methamidophos | DNA-Cu/Ag NCs | 480/565 | turn off turn on | 0.05–2.0 U L−1 — | 0.05 UL−1 0.075 mg L−1 (IC50) | water and vegetable | [69] |
10 | AChE | L-His-Cu/Ag NCs | 390/485 | turn off | 0.1–1.0 UL−1 and 1.0–7.0 UL−1 | 0.03 UL−1 | — | [34] |
9 | AChE | PVP-Cu NCs | 370/438 | ratiometric | 2.0–70 UL−1 | 0.56 UL−1 | human serum sample | [14] |
11 | AChE | PEI-Cu NCs | 365/495 | turn on | 3–200 UL−1 | 1.38 UL−1 | human serum sample | [32] |
No | Analytes | Sensors | Ex./Em. Maxima (nm) | Sensing Mechanism | Linear Range | Limit of Detection (LOD) | Real Sample | Ref. |
---|---|---|---|---|---|---|---|---|
1 | Hg2+ | Cu NCs@P-8B | 400/535 | turn off | 10–100 μM | 10 μM | aqueous solution | [74] |
2 | Hg2+ | Curcuminoids-Cu NCs | 350/440 | turn off | 0.5 nM–25 µM | 0.12 nM | water | [54] |
3 | Hg2+ | Cu NCs | 340/560 | turn off | 2–40 μM | 23 nM | water | [72] |
4 | Hg2++ | Trypsin-Cu NCs | 360/567 | turn off | 0.1−100 μM | 30 nM | human urine and serum samples | [28] |
5 | Hg2+ | TdT-INAA-DNA-Cu NCs | 343/600 | turn off | 0.2–500 nM | 76 pM | environmental water | [41] |
6 | Hg2+ | GSH–Cu NCs | 360/445 | turn off | 10 nM–10 μM | 3.3 nM | water and rice | [13] |
7 | Hg2+ | poly(30T) DNA-Cu NCs | 340/650 | turn on | 50 pM–2.5 μM and 2.5–500 μM | 16 pM | lake water | [40] |
8 | Hg2+ | DTT-Cu NCs/CNNS nanocomposite | 395/615 | electrochemiluminescence | 0.05–10 nM | 0.01 nM | lake and tap water | [71] |
9 | Hg2+ | Metallothionein–Cu NCs | — | UV-VIS | 97 nm–2.3 μM and 3.1–15.6 μM | 43.8 nM | environmental water | [82] |
10 | Hg2+ | GSH-Cu NCs | 375/440 | turn off | 0.04−60 μM | 22 nM | water | [26] |
11 | Hg2+ | Cytosine rich- ssDNA-Cu/Ag NCs | 470/550 | turn off | 40–550 nM | 2.4 nM | lake and tap water | [31] |
12 | Hg2+ | apt-Cu@Au NCs | 470/656 | ratiometric | 0.1–9.0 μM | 4.92 nM | porphyra | [63] |
13 | Hg2+ | 4-chlorothiophenol-Cu NCs | 330/605 | turn off | 1–500 nM | 0.3 nM | environmental water | [83] |
14 | Hg2+ | BSA-Cu NCs | 320/420 | turn off | 0.01 nM–10 μM | 4.7 pM | water | [19] |
15 | Hg2+ | BSA-Cu NCs | 395/645 | turn off | 20–1000 nM | 0.2 nM | — | [84] |
16 | Hg2+ | L-Cys-Cu NCs | 375/480 | turn off | 0.1–1000 μM | 24 nM | human urine sample | [17] |
17 | Hg2+ | dsDNA-Cu NCs | 570/595 | turn off | 0.04−8 nM | 4 pM | water | [70] |
18 | Hg2+ | Ag/Cu NCs | colorimetric | turn on | 0.1–700 nM | 0.05 nM | aqueous sample | [85] |
19 | Hg2+ | CDs-CuNCs | 345/430,647 | ratiometric | 0–4000 nM | 0.31 nM | Tap, lake water | [86] |
20 | Hg2+ | BSA-Cu NCs/ BSA-Au NCs | 365/398,616 | ratiometric | 0.06–1 µM and 1–4 µM | 19.4 nM | Tap, mineral, lake water | [87] |
21 | Pb2+ | BSA-Cu NCs | 324/401 (fluorescent); 324/396 (light scattering) | turn off; turn on | 30–180 nM; 3–21 nM | 10 nM; 1 nM | environmental water | [88] |
22 | Pb2+ | BSA-Cu NCs | 325/410 | turn off | 0–200 ppm | — | — | [18] |
23 | Pb2+ | GSH-Cu NCs | 360/607 | turn on | 200–700 μM | 106 μM | water | [57] |
24 | Pb2+ | Cu NCs-CNQDs | 365/468, 632 | ratiometric | 0.01–2.5 mg L−1 | 0.0031 mg L−1 | porphyra | [77] |
25 | Pb2+ | Metallothionein–Cu NCs | — | UV-VIS | 0.7–96 μM | 142 nM | environmental water | [82] |
26 | Pb2+ | dsDNA-Cu NCs | 340/605 | turn off | 0–150 pM | 5.2 pM | tap water | [43] |
27 | Pb2+ | GSH-Cu NCs | 420/606 | turn off | 1–160 nM | 1 nM | — | [39] |
28 | Pb2+ | Cu NASs | 340/590 | turn off | 2–100 nM | 0.75 nM | aqueous sample | [89] |
29 | Cr2O72− | GSH@CDs-Cu NCs | 360/450,750 | ratiometric | 0–20 μM | 0.9 μM | tap water, spring water samples and human urine | [78] |
30 | Cr(VI) | DAMP-Cu NCs | 357/428 | turn off | 0–150 μM | 8.5 μM | water | [24] |
31 | Cr(VI) | Thiosalicylic acid/Cysteamine-Cu NCs | 355/411 | turn off | 0.1–1000 μM | 30 nM | water | [21] |
32 | Cr(VI) | Cysteamine-Au/Cu NCs | 350/436 | turn off | 0.2–100 μM | 80 nM | water and human urine sample | [23] |
33 | Cr(Ⅵ) | Cu NCs@TA | 360/430 | turn off | 0.03–60 µM | 5 nM | water sample | [90] |
34 | Cu2+ | D-Penicillamine -Cu NCs | 391/673 | turn on | 0.95–6.35 ppm | 0.3 ppm | tap water | [91] |
35 | Cu2+ | CdSe QDs @ hPEI-Cu NCs | 380/495,625 | ratiometric | 0.022–8.8 μM | 8.9 nM | river water | [81] |
36 | Cu2+ | GSH- Cu NCs | 330/615 | turn on | 0.25–10 μM | 170 nM | chalcocite | [38] |
37 | Cu2+ | DNA-Cu/Ag NCs | 480/576 | turn on | 5–200 nM | 2.7 nM | soil and pond water | [42] |
38 | Cu2+ | Cytidine-Cu NCs | 300/380 | turn on | 0.05–2.0 µM | 32 nM | lake water | [58] |
39 | Cu2+ | BSA-Cu NCs | 340/420 | turn off | 0.02–34 μM | 1 nM | tap water | [20] |
40 | Cu2+ | BSA-Cu NCs/ BSA-Au NCs | 365/398,616 | ratiometric | 0.1–1 µM and 1–5 µM | 23.4 nM | Tap, mineral, lake water | [87] |
No | Analytes | Sensors | Ex./Em. Maxima (nm) | Sensing Mechanism | Linear Range | Limit of Detection (LOD) | Real Sample | Ref. |
---|---|---|---|---|---|---|---|---|
1 | H2S | PSS-PA-Cu NCs | 325/655 | turn-off | 2–10 μM | 650 nM | spring water | [94] |
2 | S2− | G-R-Cu NCs | 400/490, 610 | ratiometric | 0.1–10 μM and 0.1–10 mM; | 100 nM | chicken blood | [93] |
3 | S2− | TA-Cu NCs | 360/441 | turn-off colorimetric | 0.7–80 μM 6–130 μM | 0.1 μM 2.0 μM | natural water | [95] |
4 | S2− | Cu2+@MPA-Cu NCs | 350/610 | turn-off | 0−600 μM | 26.3 nM | food additives | [92] |
5 | S2− and H2S | Cu NCs-CQD | 365/469,622 | ratiometric | 26–128 nM | 4.3 nM | — | [96] |
6 | S2− | Cu NCs | 326/422 | turn-on | 5–110 μM | 0.286 μM | tap water and river water | [10] |
No | Analytes | Sensors | Ex./Em. Maxima (nm) | Sensing Mechanism | Linear Range | Limit of Detection (LOD) | Real Sample | Ref. |
---|---|---|---|---|---|---|---|---|
1 | picric acid | Cu NCs-CA | 393/480 | turn-off | 1–80 μM | 0.14 μM | tap water, lake water and river water | [22] |
2 | trinitrophenol | DNA-Cu NCs | 340/627 | turn-off | 0.1–100 μM | 0.03 μM | water samples | [44] |
3 | picric acid | PM-GSH-Cu NCs | 360/625 | turn-off | 9.9–43 μM | 2.74 μM | water and matchstick | [37] |
4 | picric acid | Cys–Cu NCs | 370/494 | turn-off | 2.5–25 mM | 0.19 mM | tap and lake water | [100] |
5 | trinitrotoluene | CuNC/ZIF-8 | 365/600 | turn-off | 5–80 μM | 8.5 μM | tap water | [36] |
6 | picric acid | Cu NCs | 350/430 | turn-off | 2–40 mM | 0.98 mM | water samples | [101] |
7 | quinoline yellow | L-Cys-Cu NCs | 380/422,617 | ratiometric | 0.2–5.5 µM | 110 nM | candies and soft drink | [97] |
8 | furazolidone | GSH-Cu NCs | 366/426 | turn off | 0.05–60 µM | 12 nM | aqueous sample | [98] |
9 | DPA | GSH-Cu NCs | 380/422,617 | ratiometric | 0–20 µM | 8 nM | aqueous sample | [99] |
10 | quinolones | Cys-Cu NCs | 368/475 | turn on | 0.5–40 µM | 8 nM | tablets | [102] |
11 | Sudan dyes Ⅰ Sudan dyes Ⅱ Sudan dyes Ⅲ Sudan dyes Ⅳ | PEI-Cu NCs | 355/480 | turn off | 0.1–30 µM 0.1–30 µM 0.1–25 µM 0.1–25 µM | 65 nM 70 nM 45 nM 50 nM | chilli powder sample | [103] |
12 | Bisphenol A | BSA-Cu NCs | chemiluminescence | turn off | 0.001–10 µM | 0.12 nM | water sample | [104] |
13 | Melamine | T30-Cu NCs | 345/598 | turn on | 0.1–6 µM | 95 nM | Milk | [105] |
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Xue, Y.; Cheng, Z.; Luo, M.; Hu, H.; Xia, C. Synthesis of Copper Nanocluster and Its Application in Pollutant Analysis. Biosensors 2021, 11, 424. https://doi.org/10.3390/bios11110424
Xue Y, Cheng Z, Luo M, Hu H, Xia C. Synthesis of Copper Nanocluster and Its Application in Pollutant Analysis. Biosensors. 2021; 11(11):424. https://doi.org/10.3390/bios11110424
Chicago/Turabian StyleXue, Yan, Zehua Cheng, Mai Luo, Hao Hu, and Chenglai Xia. 2021. "Synthesis of Copper Nanocluster and Its Application in Pollutant Analysis" Biosensors 11, no. 11: 424. https://doi.org/10.3390/bios11110424