Next Article in Journal
Mn3O4/NiO Nanoparticles Decorated on Carbon Nanofibers as an Enzyme-Free Electrochemical Sensor for Glucose Detection
Next Article in Special Issue
Multiplex Detection of Biogenic Amines for Meat Freshness Monitoring Using Nanoplasmonic Colorimetric Sensor Array
Previous Article in Journal
Electrochemical Sensing of Gallic Acid in Beverages Using a 3D Bio-Nanocomposite Based on Carbon Nanotubes/Spongin-Atacamite
Previous Article in Special Issue
Escherichia coli Enumeration in a Capillary-Driven Microfluidic Chip with SERS
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Biosensors
Volume 13
Issue 2
10.3390/bios13020263
biosensors-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Communication

Highly Sensitive Detection of Chymotrypsin Based on Metal Organic Frameworks with Peptides Sensors

by
Lei Liu
1,
Cheng Liu
2 and
Li Gao
2,*
1
Department of Kidney Transplantation, The Second Xiangya Hospital of Central South University, Changsha 410011, China
2
School of Life Sciences, Jiangsu University, Zhenjiang 212013, China
*
Author to whom correspondence should be addressed.
Biosensors 2023, 13(2), 263; https://doi.org/10.3390/bios13020263
Submission received: 26 December 2022 / Revised: 10 February 2023 / Accepted: 11 February 2023 / Published: 13 February 2023
(This article belongs to the Special Issue Advances and New Perspectives in Micro-Nanofabricated Sensors for Bioanalysis)
Browse Figures
Versions Notes

Abstract

:
In this study, peptides and composite nanomaterials based on copper nanoclusters (CuNCs) were used to detect chymotrypsin. The peptide was a chymotrypsin-specific cleavage peptide. The amino end of the peptide was covalently bound to CuNCs. The sulfhydryl group at the other end of the peptide can covalently combine with the composite nanomaterials. The fluorescence was quenched by fluorescence resonance energy transfer. The specific site of the peptide was cleaved by chymotrypsin. Therefore, the CuNCs were far away from the surface of the composite nanomaterials, and the intensity of fluorescence was restored. The limit of detection (LOD) using Porous Coordination Network (PCN)@graphene oxide (GO) @ gold nanoparticle (AuNP) sensor was lower than that of using PCN@AuNPs. The LOD based on PCN@GO@AuNPs was reduced from 9.57 pg mL−1 to 3.91 pg mL−1. This method was also used in a real sample. Therefore, it is a promising method in the biomedical field.

1. Introduction

Chymotrypsin, one of the serine proteases, is involved in a number of physiological processes, including necrosis and apoptosis [1]. It participates in the pathogenesis of various diseases [2,3]. At present, researchers have developed certain methods to detect the activity of chymotrypsin. Colorimetric reaction detection [4], high performance liquid chromatography (HPLC) [5], mass spectrum (MS) [6,7], electrochemical detection [8], and surface plasmon resonance (SPR) detection [9], etc., were used for chymotrypsin. However, the detection sensitivity in certain methods needs to be improved. A number of methods require specific equipment. Developing a sensitive detection method of chymotrypsin is necessary [10]. A fluorescence spectrometer is simpler than certain more complicated instruments, such as HPLC and MS. Fluorescence resonance energy transfer (FRET) for chymotrypsin detection based on quantum dots [11], gold nanoparticles [12], and fluorescein–rhodamine B fluorophore pairs [13,14] is a low cost method. However, the detection sensitivity of this method still needs to be improved.
A metal organic framework (MOF) has a large surface area and contains uniform porous crystal material with unique structure and flexible porosity [15,16,17,18]. Certain metal ions and organic ligands show adjustable fluorescence properties. Changes in the structure and properties of MOFs will result in changes in fluorescence. Therefore, MOF-based fluorescence sensors have received a substantial amount of attention. A series of multi-dimensional MOFs have been prepared as fluorescent platforms for biological sensing [19,20,21,22]. Porous coordination network (PCN) is a kind of porous metal organic framework material. Hybrid materials can achieve superior efficiency by eliminating certain shortcomings [21]. In this study, PCN@GO@AuNP composite nanomaterials were used for fluorescence quenching. Copper nanoclusters (CuNCs) are not only similar to noble metal nanoclusters in fluorescence properties, particle size, and biocompatibility, but also stable and cheap [23,24,25,26,27,28]. Therefore, CuNCs offer great potential for development and application [29,30,31,32,33,34,35,36]. On the basis of the aforementioned studies, CuNCs and composite nanomaterials were used to detect chymotrypsin. A low-cost, highly sensitive detection method of chymotrypsin involving simple operation was developed.

2. Materials and Methods

2.1. Chemical Reagents and Instruments

The peptide sequence, RRHFFGCEKEKEKEPPPPC [12,37], was obtained from Sangon (Shanghai, China) Co., Ltd. The chymotrypsin was obtained from Shanghai Linc-Bio Science (Shanghai, China) Co., Ltd. Cu(NO3)2, His, Ascorbic Acid, NaBH4, and other chemicals were obtained from the National Pharmaceutical Group Chemical Reagent (Beijing, China) Co., Ltd. PCN was obtained from Xi’an Qiyue Biotechnology(Xi’an, China) Co., Ltd. Thrombin, Lysozyme, N-Hydroxysuccinimide (NHS), N-(3-Dimetylaminopropyl)-N′-etylcarbodiimid (EDC), IgG, and BSA were obtained from Sigma-Aldrich (Shanghai, China). The serum was bought from Tianhang Biotechnology Co., Ltd. (Zhejiang, China). VEGF, a tubular dialyzer, and a 0.22 μm filter were obtained from Shanghai Sangon Co., Ltd. The intensity of the fluorescence was obtained using a Bio-Tek Synergy H4 multifunctional microplate reader.

2.2. Methods

The PCN@AuNP@GO nanohybrid was prepared using GO layer coated onto the surface of PCN@AuNP based on strong π–π stacking and hydrogen bond interactions. Then, PCN@GO@AuNP and PCN@AuNP composite nanomaterials were used to quench fluorescence. Copper nanoclusters were prepared and activated by EDC and NHS. The amino group at one end of the peptide reacted with the carboxyl group at one end of the activated copper nanoclusters [38]. Then, the fluorescence of copper nanoclusters was quenched with hybrid materials, PCN@AuNPs@GO or PCN@AuNPs, based on FRET. The peptide with the fluorescence can covalently bind to the surface of the AuNPs of PCN@GO@AuNP and PCN@AuNP composite nanomaterials. The fluorescence was quenched by composite nanomaterials. Chymotrypsin cleaved the peptide. The target peptide (RRHFFGCEKEKEKEPPPPC) with alternating amino acid residues of negatively charged glutamic acid (E) and positively charged lysine (k) has attracted more and more attention due to its antifouling properties. Functional peptides can resist the non-specific adsorption of charged proteins on the surface of the sensor [39]. The fluorescence group will be far away from the surface of the composite nanomaterials. Therefore, the intensity of fluorescence was improved after chymotrypsin was added [14]. Figure 1 shows the principle of detection. Chymotrypsin can be detected with the change in fluorescence intensity after chymotrypsin was added.
An amount of 100 μL PCN (0.1 mg mL−1) was mixed with 2 mL GO solution (0.25 mg mL−1). Under the assistance of NH2NH2·H2O, PCN@GO composite was formed under ultrasonic wave. Then, the final concentration of 0.1 mg mL−1 of HAuCl4 PCN@GO in solution was reached. The resulting mixture was then stirred, and 25 μL NaBH4 solution (3.8 mg mL−1) was added. The prepared mixture was washed twice with water and centrifuged at 4500 rpm for 10 min to remove the unreacted chemicals. The mixture was then subjected to ultrasonic treatment at 60 °C for 72 h. Then, excess chemicals were removed from PCN@GO@AuNP composite nanomaterials. Then, it was dispersed in water (Figure 2A,B). PCN@AuNPs were prepared by adding 80 μL HAuCl4 (10 mg mL−1) into the final concentration of 0.1 mg mL−1 PCN solution. Then, 25 μL NaBH4 solution (3.8 mg mL−1) was added to the resulting mixture; thus, the resulting mixture was stirred. The resulting mixture was then washed twice with water and centrifuged at 4500 rpm for 10 min to remove the unreacted chemicals. The obtained PCN@Au NP nanomaterials were dispersed in water for standby (Figure 2C).
CuNCs were synthesized via an improved method. In short, 360 μL of 10 mM Cu(NO3)2 solution was mixed with 8.0 mL of 100 mM histidine solution. Then, 400 μL of 100 mM ascorbic acid solution was added. The impurities were removed from the CuNCs stabilized by histidine using a dialysis tube (MWCO 1000 Da). The obtained CuNC solution was filtered using a 0.22 μM filter. Next, the carboxyl group on the surface of the CuNCs was activated with 1 mL CuNC solution mixed with 1 mg EDC and 0.5 mg NHS for 1 h. The solution of 1 mL CuNCs with the activated carboxyl group was reacted with 200 μL peptide (6 μM) overnight. The carboxyl group at one end of the CuNCs and the amino group at the other end of the peptide were covalently combined to form the peptide with a fluorescent group. The CuNC-P (peptide) solution was prepared for use. The volume of the reaction system was 400 μL. The supernatant was removed via centrifugation at 12,000 rpm for 20 min. The ultrapure water was added to the 400 μL of the reaction system. The fluorescence intensity was recorded. Then, chymotrypsin was added. The CuNCs were excited at 390 nm, and the emission wavelength ranged from 410 nm to 650 nm with increments of 2 nm (Figure 2C). As shown in Figure 2D, the absorbance spectrum was the same as that reported by Huang et al., which proved that the material was successfully prepared.

3. Results

3.1. Preparation of PCN@AuNPs

In total, 40 μL CuNC-P solution was added to the system; then, different concentrations of CuNC-P were added to the PCN@AuNPs composite nanomaterial solution (5, 10, 20, 30, 40, and 50 μg mL−1). The intensity of fluorescence was F0. Then, 10 ng mL−1 chymotrypsin was added, and the fluorescence intensity was measured as F after 30 min. The change in fluorescence intensity was F/F0-1. This is shown in Figure 3A. The change in fluorescence intensity was the maximum at the concentration of 40 μg mL−1 NPs. In total, 40 μg mL−1 PCN@AuNPs was selected for use in the following experiments.

3.2. Sensitive Detection Based on PCN@Au NPs

In total, 40 μL CuNC-P solution was added into the system with the same concentration PCN@AuNPs. The intensity of fluorescence was F0. Chymotrypsin (10, 50, 100, 500 pg mL−1; 1, 5, 10, 50, 100, 1, and 500 ng mL−1) was added. After 30 min, the intensity of fluorescence was F. The results are shown in Figure 3B. The change in fluorescence intensity was linear with a low concentration of chymotrypsin. The change in fluorescence intensity caused by concentrations from 0.01 to 1 ng mL−1 chymotrypsin was linear. The linear regression equation was y = 0.1366x + 0.0710, R2 = 0.96. The limit of detection (LOD) based on 3S/N was 9.57 pg mL−1.

3.3. Preparation of PCN@GO@Au NPs

Different concentrations of CuNC–P were added to PCN@GO@AuNPs. The fluorescence intensity of the composite nanomaterial solution (5, 10, 15, 20, 25, 30, and 35 μg mL−1) was F0. Then, 10 ng mL−1 chymotrypsin was added, and the fluorescence intensity was measured as F after 30 min. The change in fluorescence intensity was F/F0-1, which is shown in Figure 3D. When the concentration of NPs was 30 μg mL−1, the change in fluorescence intensity was the maximum. An amount of 30 μg mL−1 PCN@GO@AuNP composite nanomaterials was used in the following experiments.

3.4. Kinetic Analysis Based on PCN@GO@AuNPs

In total, 40 μL CuNC–P solution was added into the reaction system. Then, 30 μg mL−1 PCN@GO@AuNP composite nanomaterial was also added. The final concentrations of the two were the same. Three different concentrations of chymotrypsin (50, 500, and 5 ng mL−1) were added to measure F/F0-1 at different times. Figure 4A shows the results. The intensity of the fluorescence increased rapidly in 20 min. The change in fluorescence intensity for three concentrations of chymotrypsin was relatively stable at 30 min. Therefore, 30 min was selected as the reaction time.

3.5. Sensitive Detection Based on PCN@GO@Au NPs

Different concentrations of chymotrypsin (10, 50, 100, and 500 pg mL−1; 1, 5, 10, 50, 100, and 500 ng mL−1) were added into the reaction system for 30 min. Figure 4B,C show the results. The change in fluorescence intensity increased linearly with the low concentration of chymotrypsin. The fluorescence intensity of the sensor increases with the increasing concentration of chymotrypsin. Then, it was gradually stable. The fluorescence intensity from 0.01 to 1 ng mL−1 chymotrypsin was linear with the concentration. The equation of linear regression was y = 0.1712x + 0.1281, R2 = 0.99. The LOD was 3.91 pg mL−1. Compared to PCN@AuNP composite nanomaterials, the sensitivity of the sensor was improved. As shown in Table 1, the LOD in this method was lower. The lower LOD also showed that this method had higher sensitivity and also confirmed that hybrid materials can achieve superior efficiency.

3.6. Selective Analysis Based on PCN@GO@Au NPs

Chymotrypsin, thrombin, VEGF, IgG, BSA, and lysozyme (every protein was 10 ng mL−1) were added, respectively. The reaction time was 30 min. Figure 4D shows the results. The change in fluorescence intensity caused by chymotrypsin was the maximum because of the specific and stronger binding between aptamer and chymotrypsin compared to other proteins.

3.7. Application in Real Sample

In order to prove the stability of the sensor and its practical application value, three concentrations of chymotrypsin (10, 50, and 100 pg mL−1) were used in the serum. As shown in Table 2, the range of recovery was from 96.02% to 110.04%. The relative standard deviation was from 1.41% to 2.43%. These results showed that this sensor can meet the requirements of application.

4. Conclusions

A detection method of chymotrypsin was developed using copper-nanocluster-labeled peptides and composite nanomaterials. First, CuNCs were made. EDC and NHS were added to activate their carboxyl group. Then, peptides were added. The carboxyl group combined with the amino group at one end of the peptide to form the peptide label with fluorescence. Then, the prepared PCN@GO@AuNP and PCN@AuNP composite nanomaterials were used for fluorescence quenching. The thiol group at the other end of the peptide can covalently combine with the composite nanomaterial. The fluorescence was quenched. Then, chymotrypsin was used to cleave the peptide, and the fluorescence intensity was restored. Chymotrypsin could be detected with the change in fluorescence intensity before and after adding chymotrypsin. The detection limit of the AuNP sensor was obviously lower than that of using PCN@AuNPs. The LOD was reduced from 9.57 pg mL−1 to 3.91 pg mL−1. This reduced LOD showed that the “three in one” composite nanomaterials had an excellent effect and performance in the detection of chymotrypsin. In this method, the physical adsorption was removed with centrifugation, and the false positive signal was reduced. Furthermore, the target peptide with alternating amino acid residues of negatively charged glutamic acid (e) and positively charged lysine (k) can also resist the non-specific adsorption of charged proteins on the surface of the sensor. The synthesis cost of CuNCs was low and stable. At the same time, the composite material was introduced to improve the performance of the sensor and the sensitivity of detection, which provided a method for the detection of chymotrypsin.

Author Contributions

Conceptualization, L.L.; methodology, C.L.; formal analysis, L.L.; investigation, C.L.; data curation, C.L.; writing—original draft preparation, L.L.; writing—review and editing, L.L.; supervision, L.G.; project administration, L.G.; funding acquisition, L.G. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

This work is supported by the Jiangsu Maternal and Child Health Research Project (F202144), the Zhenjiang Science and Technology Innovation Fund (Key R&D Plan—Social development, SH2022098), the Jiangsu Province and Education Ministry Cosponsored Synergistic Innovation Center of Modern Agricultural Equipment of China (XTCX2026), and the National Foreign Experts Program Project of China (G2022014094L and DL2022014006L).

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Oldziej, A.; Bolkun, L.; Galar, M.; Kalita, J.; Ostrowska, H.; Romaniuk, W.; Kloczko, J. Assessment of proteasome concentration and chymotrypsin-like activity in plasma of patients with newly diagnosed multiple myeloma. Leukemia Res. 2014, 38, 925–930. [Google Scholar] [CrossRef] [PubMed]
  2. Piovarci, I.; Hianik, T.; Ivanov, I.N. Detection of chymotrypsin by optical and acoustic methods. Biosensors 2021, 11, 63. [Google Scholar] [CrossRef] [PubMed]
  3. Zou, X.; Zhao, Y.; Lai, C.; Liang, Y.; Lin, W. A non-peptide probe for detecting chymotrypsin activity based on protection-deprotection strategy in living systems. J. Mater. Chem. B 2021, 9, 8417–8423. [Google Scholar] [CrossRef] [PubMed]
  4. John, G.; Lieb, I.I.; Peter, V.; Gastroenterology, D.J. Pancreatic function testing: Here to stay for the 21st century. World J. Gastroenterol. 2008, 14, 3149–3158. [Google Scholar]
  5. Zhang, Z.; Luo, L.; Zhu, L.; Ding, Y.; Deng, D.; Wang, Z.J. Aptamer-linked biosensor for thrombin based on AuNPs/thionine-graphene nanocomposite. Analyst 2013, 138, 5365–5370. [Google Scholar] [CrossRef]
  6. Mu, S.; Xu, Y.; Zhang, Y.; Guo, X.; Li, J.; Wang, Y.; Liu, X.; Zhang, H. A non-peptide NIR fluorescent probe for detection of chymotrypsin and its imaging application. J. Mater. Chem. B 2019, 7, 2974–2980. [Google Scholar] [CrossRef]
  7. He, L.; Pagneux, Q.; Larroulet, I.; Serrano, A.Y.; Szunerits, S.J.B. Bioelectronics. Label-free femtomolar cancer biomarker detection in human serum using graphene-coated surface plasmon resonance chips. Biosens. Bioelectron. 2017, 89, 606–611. [Google Scholar] [CrossRef]
  8. Zhu, S.Y.; Zhao, X.E.; Zhang, W.; Liu, Z.Y.; Qi, W.J.; Anjum, S.; Xu, G.B. Fluorescence detection of glutathione reductase activity based on deoxyribonucleic acid-templated silver nanoclusters. Anal. Chim. Acta 2013, 786, 111–115. [Google Scholar] [CrossRef] [PubMed]
  9. Chaiendoo, K.; Tuntulani, T.; Ngeontae, W. A paper-based ferrous ion sensor fabricated from an ion exchange polymeric membrane coated on a silver nanocluster-impregnated filter paper. Mater. Chem. Phys. 2017, 199, 272–279. [Google Scholar] [CrossRef]
  10. Zheng, Y.; Lai, L.; Liu, W.; Jiang, H.; Wang, X. Recent advances in biomedical applications of fluorescent gold nanoclusters. Adv. Colloid Interface Sci. 2017, 242, 1. [Google Scholar] [CrossRef] [PubMed]
  11. Wu, M.; Petryayeva, E.; Algar, W.R. Quantum dot-based concentric FRET configuration for the parallel detection of protease activity and concentration. Anal. Chem. 2014, 86, 11181–11188. [Google Scholar] [CrossRef] [Green Version]
  12. Wang, X.H.; Geng, J.; Miyoshi, D.; Ren, J.S.; Sugimoto, N.; Qu, X.G. A rapid and sensitive “add-mix-measure” assay for multiple proteinases based on one gold nanoparticle-peptide-fluorophore conjugate. Biosens. Bioelectron. 2010, 26, 743–747. [Google Scholar] [CrossRef]
  13. Okorochenkova, Y.; Hlavac, J. Novel ratiometric xanthene-based probes for protease detection. Dyes Pigm. 2017, 143, 232–238. [Google Scholar] [CrossRef]
  14. Okorochenkova, Y.; Porubsky, M.; Benicka, S.; Hlavac, J. A novel three-fluorophore system as a ratiometric sensor for multiple protease detection. Chem. Commun. 2018, 54, 7589–7592. [Google Scholar] [CrossRef]
  15. Huang, X.L.; He, Z.M.; Guo, D.; Liu, Y.J.; Song, J.B.; Yung, B.C.; Lin, L.S.; Yu, G.C.; Zhu, J.J.; Xiong, Y.H.; et al. Three-in-one” nanohybrids as synergistic nanoquenchers to enhance no-wash fluorescence biosensors for ratiometric detection of cancer biomarkers. Theranostics 2018, 8, 3461–3473. [Google Scholar] [CrossRef] [PubMed]
  16. Lin, L.S.; Yang, X.Y.; Niu, G.; Song, J.B.; Yang, H.H.; Chen, X.Y. Dual-enhanced photothermal conversion properties of reduced graphene oxide-coated gold superparticles for light-triggered acoustic and thermal theranostics. Nanoscale 2016, 8, 2116–2122. [Google Scholar] [CrossRef] [PubMed]
  17. Zhang, Z.; Lou, Y.; Guo, C.; Jia, Q.; Song, Y.; Tian, J.Y.; Zhang, S.; Wang, M.; He, L.; Du, M. Metal–organic frameworks (MOFs) based chemosensors/biosensors for analysis of food contaminants. Trends Food Sci. Tech. 2021, 118, 569–588. [Google Scholar] [CrossRef]
  18. Zhao, Y.; Zeng, H.; Zhu, X.W.; Lu, W.; Li, D. Metal-organic frameworks as photoluminescent biosensing platforms: Mechanismsand applications. Chem. Soc. Rev. 2021, 50, 4484–4513. [Google Scholar] [CrossRef]
  19. Karmakar, A.; Samanta, P.; Dutta, S.; Ghosh, S.K. Fluorescent “turn-on” sensing based on metal-organic frameworks (MOFs). Chem. Asian J. 2019, 14, 4506–4519. [Google Scholar] [CrossRef]
  20. Wu, F.; Ye, J.H.; Cao, Y.L.; Wang, Z.Y.; Miao, T.T.; Shi, Q. Recent advances in fluorescence sensors based on DNA–MOF hybrids. Luminescence 2020, 35, 437–621. [Google Scholar] [CrossRef]
  21. Chen, R.; Chen, X.R.; Zhou, T.F.; Lin, T.; Leng, Y.K.; Huang, X.L.; Xiong, Y.H. Three-in-One “Multifunctional nanohybrids with colorimetric magnetic catalytic activities to enhance immunochromatographic diagnosis”. ACS Nano 2022, 16, 3351–3361. [Google Scholar] [CrossRef] [PubMed]
  22. Das, H.T.; Barai, P.; Dutta, S.; Das, N.; Das, P.; Roy, M.; Alauddin, M.; Barai, H.R. Polymer composites with quantum dots as potential electrode materials for supercapacitors application: A review. Polymers 2022, 14, 1053. [Google Scholar] [CrossRef]
  23. Li, X.G.; Zhang, F.; Gao, Y.; Zhou, Q.M.; Zhao, Y.; Li, Y.; Huo, J.Z.; Zhao, X.J. Facile synthesis of red emitting 3-aminophenylboronic acid functionalized copper nanoclusters for rapid, selective and highly sensitive detection of glycoproteins. Biosens. Bioelectron. 2016, 86, 270–276. [Google Scholar] [CrossRef]
  24. Liao, X.Q.; Li, R.Y.; Long, X.H.; Li, Z.J. Ultra sensitive and wide-range pH sensor based on the BSA-capped Cu nanoclusters fabricated by fast synthesis through the use of hydrogen peroxide additive. RSC Adv. 2015, 5, 48835–48841. [Google Scholar]
  25. Zheng, X.J.; Liang, R.P.; Li, Z.J.; Zhang, L.; Qiu, J.D. One-step, stabilizer-free and green synthesis of Cu nanoclusters as fluorescent probes for sensitive and selective detection of nitrite ions. Sens. Actuators B Chem. 2016, 230, 314. [Google Scholar] [CrossRef]
  26. Momeni, S.; Ahmadi, R.; Safavi, A.; Nabipour, I. Blue-emitting copper nanoparticles as a fluorescent probe for detection of cyanide ions. Talanta 2017, 175, 514. [Google Scholar] [CrossRef]
  27. Chen, L.Y.; Luque, R.; Li, Y.W. Controllable design of tunable nanostructures inside metal–organic frameworks. Chem. Soc. Rev. 2017, 46, 4614. [Google Scholar] [CrossRef]
  28. Volosskiy, B.; Niwa, K.; Chen, Y.; Zhao, Z.P.; Weiss, N.O.; Zhong, X.; Ding, M.N.; Lee, C.; Huang, Y.; Duan, X.F. Metal-organic framework templated synthesis of ultrathin, well-aligned metallic nanowires. ACS Nano 2015, 9, 3044–3049. [Google Scholar] [CrossRef]
  29. Yang, Q.; Xu, Q.; Jiang, H.L. Metal–organic frameworks meet metal nanoparticles: Synergistic effect for enhanced catalysis. Chem. Soc. Rev. 2017, 46, 4774–4808. [Google Scholar] [CrossRef] [PubMed]
  30. He, C.B.; Liu, D.M.; Lin, W.B. Nanomedicine applications of hybrid nanomaterials built from metal-ligand coordination bonds: Nanoscale metal-organic frameworks and nanoscale coordination polymers. Chem. Rev. 2015, 115, 11079–11108. [Google Scholar] [CrossRef]
  31. Bu, X.N.; Fu, Y.X.; Jiang, X.W.; Jin, H.; Gui, R.J. Self-assembly of DNA-templated copper nanoclusters and carbon dots for ratiometric fluorometric and visual determination of arginine and acetaminophen with a logic-gate operation. Microchim. Acta 2020, 187, 1–10. [Google Scholar] [CrossRef] [PubMed]
  32. Bu, X.N.; Fu, Y.X.; Jin, H.; Gui, R.J. Specific enzymatic synthesis of 2,3-diaminophenazine and copper nanoclusters used for dual-emission ratiometric and naked-eye visual fluorescence sensing of choline. New J. Chem. 2018, 42, 17323–17330. [Google Scholar] [CrossRef]
  33. Jiang, X.W.; Jin, H.; Sun, Y.J.; Sun, Z.J.; Gui, R.J. Assembly of black phosphorus quantum dots-doped MOF and silver nanoclusters as a versatile enzyme-catalyzed biosensor for solution, flexible substrate and latent fingerprint visual detection of baicalin. Biosens. Bioelectron. 2020, 152, 112012. [Google Scholar] [CrossRef] [PubMed]
  34. Borse, S.; Murthy, Z.V.P.; Park, T.-J.; Kailasa, S.K. Pepsin mediated synthesis of blue fluorescent copper nanoclusters for sensing of flutamide and chloramphenicol drugs. Microchem. J. 2021, 164, 105947. [Google Scholar] [CrossRef]
  35. Bhamore, J.R.; Jha, S.; Mungara, A.K.; Singhal, R.K.; Sonkeshariya, D.; Kailasa, S.K. One-step green synthetic approach for the preparation of multicolor emitting copper nanoclusters and their applications in chemical species sensing and bioimaging. Biosens. Bioelectron. 2016, 80, 243–248. [Google Scholar] [CrossRef]
  36. Bhamore, J.R.; Deshmukh, B.; Haran, V.; Jha, S.; Singhal, R.K.; Lenka, N.; Kailasa, S.K.; Murthy, Z.V.P. One-step eco-friendly approach for the fabrication of synergistically engineered fluorescent copper nanoclusters: Sensing of Hg2+ ion and cellular uptake and bioimaging properties. New J. Chem. 2018, 42, 1510–1520. [Google Scholar] [CrossRef]
  37. Wang, Y.; Cui, M.; Jiao, M.X.; Luo, X.L. Antifouling and ultrasensitive biosensing interface based on self-assembled peptide and aptamer on macroporous gold for electrochemical detection of immunoglobulin E in serum. Anal. Bioanal. Chem. 2018, 410, 5871–5878. [Google Scholar] [CrossRef]
  38. Wang, M.K.; Wang, S.; Su, D.D.; Su, X.G. Copper nanoclusters/polydopamine nanospheres based fluorescence aptasensor for protein kinase activity determination. Anal. Chim. Acta 2018, 1035, 184–191. [Google Scholar] [CrossRef]
  39. Qian, H.S.; Huang, Y.; Duan, X.L.; Wei, X.T.; Fan, Y.P.; Gan, D.L.; Yue, S.J.; Cheng, W.; Chen, T.M. Fiber optic surface plasmon resonance biosensor for detection of PDGF-BB in serum based on self-assembled aptamer and antifouling peptide monolayer. Biosens. Bioelectron. 2019, 140, 111350. [Google Scholar] [CrossRef]
  40. Sun, H.; Panicker, R.C.; Shao, Q.Y. Activity based fingerprinting of proteases using FRET peptides. Biopolymers 2010, 88, 141–149. [Google Scholar] [CrossRef]
  41. Bhunia, S.K.; Jana, N.R. Peptide-functionalized colloidal graphene via interdigited bilayer coating and fluorescence turn-on detection of enzyme. ACS Appl. Mater. Interfaces 2011, 3, 3335–3341. [Google Scholar] [CrossRef]
  42. Miao, H.; Wang, L.; Zhuo, Y.; Zhou, Z.N.; Yang, X.M. Bioelectronics. Label-free fluorimetric detection of CEA using carbon dots derived from tomato juice. Biosens. Bioelectron. 2016, 86, 83–89. [Google Scholar] [CrossRef] [PubMed]
  43. Wang, Y.J.; Wei, Z.K.; Luo, X.D.; Wan, Q.; Qiu, R.L.; Wang, S.Z. An ultrasensitive homogeneous aptasensor for carcinoembryonic antigen based on upconversion fluorescence resonance energy transfer. Talanta 2019, 195, 33–39. [Google Scholar] [CrossRef] [PubMed]
  44. Chen, Y.; Cao, J.; Jiang, X.; Pan, Z.; Fu, N. A sensitive ratiometric fluorescence probe for chymotrypsin activity and inhibitor screening. Sens. Actuators B Chem. 2018, 273, 204–210. [Google Scholar] [CrossRef]
  45. Li, S.Q.; Fu, Y.W.; Ma, X.J.; Zhang, Y.D. Label-free fluorometric detection of chymotrypsin activity using graphene oxide/nucleic-acid-stabilized silver nanoclusters hybrid materials. Biosens. Bioelectron. 2017, 88, 210–216. [Google Scholar] [CrossRef] [PubMed]
Biosensors 13 00263 g001 550
Figure 1. Scheme of chymotrypsin detection using copper nanoclusters and composite nanomaterials.
Figure 1. Scheme of chymotrypsin detection using copper nanoclusters and composite nanomaterials.
Biosensors 13 00263 g001
Biosensors 13 00263 g002 550
Figure 2. (A) PCN nanomaterial and TEM. (B) PCN@GO@AuNP composite nanomaterial and TEM. (C) Fluorescence excitation and emission spectra of CuNCs. (D) PCN@AuNP composite nanomaterial. (E) The peaks of hydroxy O-H were 3386 and 1376 cm−1, and 1578 cm−1 was the absorption peak of epoxy C-O. These were the characteristics of GO. After AuNPs were added, the peak moved; it showed that AuNPs bound to the surface of PCN@GO in the complex.
Figure 2. (A) PCN nanomaterial and TEM. (B) PCN@GO@AuNP composite nanomaterial and TEM. (C) Fluorescence excitation and emission spectra of CuNCs. (D) PCN@AuNP composite nanomaterial. (E) The peaks of hydroxy O-H were 3386 and 1376 cm−1, and 1578 cm−1 was the absorption peak of epoxy C-O. These were the characteristics of GO. After AuNPs were added, the peak moved; it showed that AuNPs bound to the surface of PCN@GO in the complex.
Biosensors 13 00263 g002
Biosensors 13 00263 g003 550
Figure 3. (A) The fluorescence intensity caused by different concentrations of PCN@AuNPs. (B,C) Detection of different concentrations of chymotrypsin using Cu NC-P sensors. (D) The fluorescence intensity with different concentrations of PCN@GO@AuNP composite nanomaterials. (The sample number was 5).
Figure 3. (A) The fluorescence intensity caused by different concentrations of PCN@AuNPs. (B,C) Detection of different concentrations of chymotrypsin using Cu NC-P sensors. (D) The fluorescence intensity with different concentrations of PCN@GO@AuNP composite nanomaterials. (The sample number was 5).
Biosensors 13 00263 g003
Biosensors 13 00263 g004 550
Figure 4. (A) The fluorescence intensity of the sensor with three kinds of concentrations (50, 500, and 5 ng mL−1) of chymotrypsin with different time. (B,C) Detection of chymotrypsin using CuNC–peptide sensors. (D) The intensity of fluorescence caused by 10 ng mL−1 IgG, chymotrypsin, thrombin, VEGF, BSA, and lysozyme. (The sample number was 5).
Figure 4. (A) The fluorescence intensity of the sensor with three kinds of concentrations (50, 500, and 5 ng mL−1) of chymotrypsin with different time. (B,C) Detection of chymotrypsin using CuNC–peptide sensors. (D) The intensity of fluorescence caused by 10 ng mL−1 IgG, chymotrypsin, thrombin, VEGF, BSA, and lysozyme. (The sample number was 5).
Biosensors 13 00263 g004
Table
Table 1. Results for the detection of chymotrypsin.
Table 1. Results for the detection of chymotrypsin.
MethodAnalystDetection LimitReference
Fluorescence detectionAuNPs/peptide0.095 ng mL−1[12]
Fluorescence detectionFluorophore/peptide10 ng mL−1[40]
Fluorescence detectionColloidal GO0.0475 ng mL−1[41]
Fluorescence detectioncarbon dots0.3 ng mL−1[42]
Fluorescence detectionGO/up-conversion nanoparticles7.9 pg mL−1[43]
Fluorescence detectionRatiometric fluorescence probe8.4 ng mL−1[44]
Fluorescence detectionGO/dC12-AgNCs3 ng mL−1[45]
Fluorescence detectionPCN@GO@AuNPs/CuNCs3.91 pg mL−1This study
Table
Table 2. The detection of chymotrypsin in the serum (n = 3).
Table 2. The detection of chymotrypsin in the serum (n = 3).
SamplesAdded (pg mL−1)Obtained (pg mL−1)Recovery (%)RSD (%)
100----
21011.004110.041.92
35048.01296.022.43
4100103.524103.521.41
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Liu, L.; Liu, C.; Gao, L. Highly Sensitive Detection of Chymotrypsin Based on Metal Organic Frameworks with Peptides Sensors. Biosensors 2023, 13, 263. https://doi.org/10.3390/bios13020263

AMA Style

Liu L, Liu C, Gao L. Highly Sensitive Detection of Chymotrypsin Based on Metal Organic Frameworks with Peptides Sensors. Biosensors. 2023; 13(2):263. https://doi.org/10.3390/bios13020263

Chicago/Turabian Style

Liu, Lei, Cheng Liu, and Li Gao. 2023. "Highly Sensitive Detection of Chymotrypsin Based on Metal Organic Frameworks with Peptides Sensors" Biosensors 13, no. 2: 263. https://doi.org/10.3390/bios13020263

APA Style

Liu, L., Liu, C., & Gao, L. (2023). Highly Sensitive Detection of Chymotrypsin Based on Metal Organic Frameworks with Peptides Sensors. Biosensors, 13(2), 263. https://doi.org/10.3390/bios13020263

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop