Literature DB >> 35009984

Lateral Flow Immunoassay with Quantum-Dot-Embedded Silica Nanoparticles for Prostate-Specific Antigen Detection.

Sungje Bock1, Hyung-Mo Kim1, Jaehi Kim1, Jaehyun An1,2, Yun-Sik Choi3, Xuan-Hung Pham1, Ahla Jo1, Kyeong-Min Ham1, Hobeom Song2, Jung-Won Kim2, Eunil Hahm1, Won-Yeop Rho4, Sang Hun Lee5, Seung-Min Park6, Sangchul Lee7, Dae Hong Jeong3, Ho-Young Lee8, Bong-Hyun Jun1.   

Abstract

Prostate cancer can be detected early by testing the presence of prostate-specific antigen (PSA) in the blood. Lateral flow immunoassay (LFIA) has been used because it is cost effective and easy to use and also has a rapid sample-to-answer process. Quantum dots (QDs) with very bright fluorescence have been previously used to improve the detection sensitivity of LFIAs. In the current study, a highly sensitive LFIA kit was devised using QD-embedded silica nanoparticles. In the present study, only a smartphone and a computer software program, ImageJ, were used, because the developed system had high sensitivity by using very bright nanoprobes. The limit of PSA detection of the developed LFIA system was 0.138 ng/mL. The area under the curve of this system was calculated as 0.852. The system did not show any false-negative result when 47 human serum samples were analyzed; it only detected PSA and did not detect alpha-fetoprotein and newborn calf serum in the samples. Additionally, fluorescence was maintained on the strip for 10 d after the test. With its high sensitivity and convenience, the devised LFIA kit can be used for the diagnosis of prostate cancer.

Entities:  

Keywords:  lateral flow immunoassay; prostate cancer; prostate-specific antigen; quantum dot; quantum-dot-embedded silica nanoparticles

Year:  2021        PMID: 35009984      PMCID: PMC8746978          DOI: 10.3390/nano12010033

Source DB:  PubMed          Journal:  Nanomaterials (Basel)        ISSN: 2079-4991            Impact factor:   5.076


1. Introduction

Globally, cancer is still one of the most life-threatening diseases, with high incidence and mortality rates [1]. Among the numerous types of cancers, prostate cancer has the highest incidence rate (26%) and second-highest mortality rate (22%) among men worldwide [1]. Therefore, diagnosing prostate cancer is crucial for ensuring proper healthcare for men. Many studies on the diagnosis of prostate cancer have been conducted [2,3]. Early diagnosis of prostate cancer is considered essential because it can lower the mortality rate through early treatment [4]. For the early diagnosis of prostate cancer, the expression of prostate-specific antigen (PSA), which is a protein released from the prostate of the cancer patient, has been used as a biomarker to predict the progression of this cancer [5,6]. Generally, a level <2.5 ng/mL PSA is considered normal (safe group), 2.6–4.0 ng/mL PSA requires consultation with a doctor (safe for the most group), 4–10 ng/mL PSA indicates a 25% chance of having prostate cancer (suspect group), and patients with >10 ng/mL PSA in their blood must undergo further clinical tests because they have a 50% probability of having this disease [7]. When the level of PSA in the blood is 2.5 ng/mL or less, the patient is considered to belong to the safe group; thus, it is important to measure the PSA level with a threshold value of 2.5 ng/mL through a simple test with high accuracy because additional tests are not required for this group. If the PSA level is less than 2.5 ng/mL, screening every two years is sufficient [8]. To analyze PSA levels in the blood for the diagnosis of prostate cancer, the enzyme-linked immunosorbent assay (ELISA) method is widely used [9,10,11]. Protein detection through ELISA has many advantages, such as a low limit of detection (LOD; ~10 pg/mL) [12], quantifiability, and high accuracy, selectivity, and reproducibility [13]. The disadvantages of ELISA include a long reaction duration (4–6 h) and the need for a laboratory with trained technicians [14]. To overcome the shortcomings of ELISA, lateral flow immunoassay (LFIA) based on a test strip has been recently proposed as an alternative [15,16,17]. LFIA is used as a point-of-care test with the advantages of fast turnaround time, low cost, and feasibility [18,19,20]. Various types of nanomaterials have been used as detection probes for LFIAs depending on the application [21,22,23]. Metal nanoparticles (NPs), such as those composed of gold (Au), silver (Ag), and alloy metals, have been used for colorimetric detection with the naked eye [21,22,24,25]. Well-designed fluorescent NPs have been used for more sensitive and accurate analysis than colorimetric detection [26,27]. Quantum dots (QDs) are markedly brighter than other fluorescent NPs and have no photobleaching characteristics [28]; thus, QDs have been used for fabricating sensitive LFIA systems [23,29]. Nanostructures with a large number of QDs have stronger fluorescence intensity than those using a single QD. Li et al. encapsulated QDs to prepare QD nanobeads and applied them to LFIA systems for PSA detection (LOD = 0.33 ng/mL) [30]. However, additional equipment is usually required for quantitative analysis in most LFIAs [30,31,32]. Therefore, for devising a simple, at-home diagnostic test, a simple device, such as a smartphone, without any additional equipment, is required [33,34]. In a previous study, we developed QD-embedded silica NPs (SiO2@QD@SiO2; QD2) [35]. QD2 have a silica shell, which makes surface modification easy, and 200-fold stronger fluorescence intensity than a single QD. QD2 that exhibit high detection sensitivity have been used to develop a highly sensitive LFIA system [36]. In our previous studies, the LFIA system, which uses QD2, detected the HFF exosome 11-fold more sensitively than the conventional method, and thus, we deduced that QD2s were sensitive nanoprobes that could be used for LFIA. Additionally, QD2 with very bright fluorescence could ignore the fluorescence noise from the test strip. To date, QD2-based LFIA has neither been used for PSA detection nor combined with a smartphone. In this study, we developed a complete LFIA kit for detecting PSA with QD2. After the sample was loaded and developed onto an assembled LFIA strip, fluorescence intensity analysis was performed on an image acquired by a smartphone (iPhone 12, Apple Inc., Cupertino, CA, USA). Selectivity and stability tests were conducted to evaluate the new LFIA system. The proposed PSA LFIA kit is expected to be used by potential prostate cancer patients to analyze their PSA levels, without requiring complex analytical tools, and screen for the disease.

2. Materials and Methods

2.1. Materials

Tetraethyl orthosilicate (TEOS), (3-mercaptopropyl)trimethoxysilane (MPTS), (3-aminopropyl)triethoxysilane (APTS), succinic anhydride, N,N-diisopropylethylamine (DIEA), 1-ethyl-3-(3-dimethylaminopropyl) carbodiimide hydrochloride (EDC hydrochloride), N-hydroxysulfosuccinimide (sulfo-NHS), 2-(N-morpholino)ethanesulfonic hydrate (MES), ethanolamine, Tween® 20, polyvinylpyrrolidone (PVP, MW ≈ 10,000 Da), bovine serum albumin (BSA), sucrose, and alpha-fetoprotein (AFP) were purchased from Sigma Aldrich (St. Louis, MO, USA). Absolute ethanol (EtOH; 99.9%), aqueous ammonium hydroxide (NH4OH), and N-methyl-2-pyrrolidone (NMP) were purchased from Daejung (Sihung, Korea). Dichloromethane (DCM) was purchased from Samchun (Pyeongtaek, Korea). Polyethylene glycol (PEG, MW ≈ 400 Da) was purchased from Alfa Aesar (Haverhill, MA, USA). Amino polyethylene glycol acid (NH2-PEG-COOH, MW ≈ 600 Da) was purchased from Nanocs (New York, NY, USA). Anti-PSA (14801) antibody (Ab), anti-PSA (14803) Ab, goat anti-mouse IgG Ab, backing card, nitrocellulose (NC) membrane, absorbent pad, and cassette were purchased from Bore Da Biotech Co. Ltd. (Seongnam, Korea). Phosphate-buffered saline (PBS; pH 7.4) and tris-buffered saline (pH 8.0) were purchased from DYNE BIO (Seongnam, Korea). Deionized water (DW) was produced by using a Millipore water purification system of Vivagen (Seongnam, Korea). CdSe@ZnS QDs were purchased from Zeus (Osan, Korea). PSA for the standard experiment was purchased from Fitzgerald (Acton, MA, USA).

2.2. Synthesis of QD2

QD2s were synthesized by using a modified method presented in our previous study [35]. First, SiO2 NPs, which serve as the template of QD2, were prepared by using a modified Stöber method [37]. Briefly, 40 mL of EtOH, 1.6 mL of TEOS, and 3 mL of NH4OH were poured into a 100 mL round-bottom flask and stirred for 20 h at 25 °C. Then, SiO2 NPs were obtained after washing the solution several times with EtOH via centrifugation (8885 RCF, 15 min). Next, 8 mL of SiO2 NPs in EtOH solution (25 mg/mL, 200 mg), 200 μL of MPTS, and 40 μL of NH4OH were mixed and stirred vigorously for 12 h at 25 °C, to introduce the thiol group onto the surface of SiO2 NPs. Thiol-functionalized SiO2 NPs (SiO2-SH) were obtained after washing the solution several times with EtOH via centrifugation (8885 RCF, 15 min). To introduce CdSe@ZnS QDs onto the surface of SiO2-SH NPs, 4 mL of DCM, 800 μL of EtOH, 50 μL of DW, and 70 μL of QDs in toluene (100 mg/mL, 7 mg) were mixed in a 15 mL centrifugal tube and incubated in a shaking incubator for 3 h at 25 °C. Then, 50 μL of MPTS and 50 μL of NH4OH were added to the mixture. Next, the mixture was incubated in a shaking incubator for 3 h at 25 °C. To obtain QD-introduced SiO2 NPs (SiO2@QDs), SiO2@QDs were washed several times with EtOH via centrifugation (8885 RCF, 15 min). These SiO2@QDs were dispersed in 5 mL EtOH to adjust their concentration to 2 mg/mL (based on the initial concentration of SiO2 NPs). To coat the SiO2@QDs with silica, 50 μL of TEOS and 50 μL of NH4OH were added to 5 mL of SiO2@QDs in the EtOH solution (2 mg/mL, 10 mg). The mixture was incubated in a shaking incubator for 20 h at 25 °C. Finally, silica-coated SiO2@QDs (SiO2@QD@SiO2, QD2) were obtained after washing the mixture several times with EtOH and dispersing in 5 mL of EtOH (2 mg/mL).

2.3. Conjugation of Anti-PSA Abs onto QD2 (QD2-PSA Ab)

Anti-PSA Abs were conjugated onto QD2, as described in our previous study [36]. To aminate QD2, 10 μL of APTS and 10 μL of NH4OH were added to 1 mL of QD2 in EtOH (1 mg/mL, 1 mg) and incubated for 1 h at 25 °C. Next, QD2s were washed twice with NMP. After aminated QD2s were dispersed in 500 μL of NMP, 1.75 mg of succinic anhydride and 3.05 μL of DIEA were added into this mixture to introduce the carboxyl group. This mixture was incubated for 1 h at 25 °C. QD2s were washed several times with DW and dispersed in 700 μL of DW. Then, EDC/sulfo-NHS coupling was conducted to make active groups. At first, 100 μL of 2% (w/v) EDC hydrochloride in DW, 100 μL of 2% (w/v) sulfo-NHS in DW, and 100 μL of 500 mM MES in DW were added to the QD2 mixture and incubated for 30 min at 25 °C. QD2s were washed once with 50 mM MES and dispersed in 1 mL of 50 mM MES. After 10 μL of NH2-PEG-COOH (1.6 mM) was added to this suspension, the mixture was incubated for 2 h at 25 °C. These PEGylated QD2 were washed once with 50 mM MES and dispersed in 1 mL of 50 mM MES. Then, 3.2 μL of ethanolamine was added to the suspension to passivate the remaining active groups. After 30 min of incubation, the PEGylated QD2s were washed several times with DW and dispersed in 700 μL of DW. EDC/sulfo-NHS coupling was conducted again to generate active groups. Next, 150 μg of anti-PSA Ab (14803) was added to the suspension and incubated for 2 h at 25 °C. Anti-PSA Ab-conjugated QD2s (QD2-PSA Ab) were washed once with 50 mM MES and dispersed in 1 mL of 50 mM MES. The active groups were then passivated again. Finally, QD2-PSA Ab samples were dispersed in 1 mL of 0.5% (w/v) BSA in PBS.

2.4. Characterization of QD2 and QD2-PSA Ab

Transmission electron microscopy (TEM) images were acquired using JEM-F200 and JEM-1010 (JEOL, Tokyo, Japan). The ultraviolet–visible (UV–Vis) absorbance was measured using a UV–Vis spectrophotometer (Mecasys OPTIZEN POP, Daejeon, Korea). The photoluminescence (PL) intensity of NPs was measured by using a model Cary Eclipse fluorescence spectrophotometer (Agilent Technologies, Santa Clara, CA, USA), at an excitation wavelength of 385 nm.

2.5. Preparation of Test Strips

The LFIA kit was prepared by assembling the cassette, backing card, absorbent pad, conjugate pad, and sample pad. First, an NC membrane was prepared by spraying 1 mL of anti-PSA Ab (14801) in PBS (1 mg/mL) on the test line and 1 mL of goat anti-mouse IgG antibody in PBS (1 mg/mL) on the control line. The conjugate pad solution was prepared by adding 50 mg of BSA, 70 mg of sucrose, 20 mg of PEG (MW ≈ 400 Da), 1 mg of Tween® 20, and 0.1 mg of QD2-PSA Ab to 1 mL of PBS (pH 7.4). The conjugate pad was then prepared by spraying 5 mL of the conjugate pad solution. The sample pad solution was prepared by adding 5 mg of Tween® 20 and 25 mg of PVP (MW ≈ 10,000 Da) to 5 mL of 20 mM tris-buffered saline (pH 8.0). The sample pad was prepared by spraying 1 mL of the sample pad solution. Next, the NC membrane, absorbent pad, conjugate pad, and sample pad were attached to the backing card. Lastly, the prepared test strips were cut at a width of 4 mm and assembled with cassettes.

2.6. Preparation of Clinical Samples of Human Serum

This study was approved by the Seoul National University Bundang Hospital under trial registration number IRB No. B 1711/432-302. Human serum samples were collected according to the approved trial protocol. Participants of clinical samples are all men in their 20s and 50s. Clinical samples were prepared after separating serum with plasma from blood of 47 people. Additionally, the PSA level of serum samples was measured by using the ELISA method.

2.7. Analysis of PSA and Human Serum Using the Prepared Test Strips

For detecting PSA, the concentration of PSA was adjusted from 0 to 100 ng/mL with 0.5% Tween® 20-containing PBS (0.5% PBST), and 100 μL of each sample was analyzed with individual LFIA kits. When developing clinical samples, 60 μL of serum and 40 μL of 0.5% PBST were mixed to facilitate the development of the samples.

2.8. Photoluminescence Intensity Measurement of the Prepared Test Strips

The images of all test strips were acquired using a smartphone (iPhone 12, Apple Inc., Cupertino, CA, USA) camera. The photoluminescence intensity was measured using ImageJ ver. 1.53a (National Institutes of Health, Bethesda, MD, USA). The red, green, and blue channels of the original images were split using the software, and only the intensity of the red channel was measured because red fluorescence QDs were used.

3. Results and Discussion

3.1. Characterization of QD2 and QD2-PSA Ab

QD2 are nanostructures in which numerous QDs are attached using silica as a template, and the QDs are coated with a silica shell for easy surface modification. QD2s were selected as probes in our facile lateral flow immunoassay (LFIA) system to detect PSA. It was assembled as described in our previous study [36]. The schematic of this process is shown in Figure 1a. First, SiO2 NPs, which are templates of QD2 with a size of 142.18 ± 6.47 nm, were prepared using the Stöber method (Figure S1). Before conjugating QDs with SiO2 NPs, a thiol group was introduced by treating the surface of SiO2 NPs with MPTS. Then, QDs were introduced onto the surface of SiO2 NPs based on the affinity between the QD and thiol groups [35]. In addition, SiO2@QDs were coated with a silica shell to prevent aggregation and ease the surface modification with various functional groups. Finally, QD2s were synthesized via surface modification for use in the LFIA. Anti-PSA Ab was conjugated to QD2 after PEGylation. NH2-PEG-COOH was added to prevent aggregation between NPs [38]. The TEM image showed that the QDs were introduced onto the SiO2 surface, and no aggregation was observed (Figure 1b). The size of QD2 was measured to be 190.13 ± 6.11 nm. The intensity of UV–Vis absorbance of NPs increased when QDs were attached, whereas the intensity did not change significantly when anti-PSA Ab was attached to QD2 through surface modification (Figure 1c). The PL intensity of SiO2 NPs, QD2, QD2-PSA Ab, and QDs was also investigated (Figure 1d and Figure S3). All concentrations were unified to the same level (particles/mL). Comparison of the PL intensities of single QDs and QD2 with the same number of particles indicated the very bright fluorescence of QD2 under UV light (Figure S2). Comparison of the PL intensities at 620 nm showed that the PL intensity of QD2 was 208-fold higher than that of single QDs (Figure 1e). These very bright QD2 make sensitive detection possible despite the background noise of the test strip. When the antibody was attached to QD2, the PL intensity did not markedly decrease (84.3% of original QD2).
Figure 1

(a) Schematic illustration of QD2-PSA Ab fabrication (this figure is not drawn to scale); (b) transmission electron microscopy (TEM) images of QD2. The inset depicts individual QD2; (c) UV–Vis absorbance of SiO2 NPs, QD2, and QD2-PSA Ab; (d) PL intensity of SiO2 NPs, QD2, and QD2-PSA Ab; (e) PL intensity comparison between QDs and QD2.

3.2. Detection of PSA Using the QD2-Based LFIA Test Strip

The components of the LFIA kit for PSA detection and the overall analysis process are described in Figure 2a. The test strip had four major components: the sample pad sprayed with the sample pad solution, the conjugate pad sprayed with the conjugate pad solution and QD2-PSA Ab mixture, NC membrane sprayed with antibody solutions, and absorbent pad that absorbed the unbound developed sample. Preparation of the LFIA kit for PSA detection was completed by assembling the test strip into a cassette. The concentration of PSA was adjusted with 0.5% Tween® 20-containing PBS (0.5% PBST), and 100 μL of each sample was analyzed with individual LFIA kits. For analyzing human serum, 60 μL of serum and 40 μL of 0.5% PBST were mixed. The loaded sample containing PSA was developed completely along the test strip in 15 min, and the results were visible on the NC membrane. To analyze the results, a photograph of the developed LFIA kit was acquired with a smartphone (iPhone 12, Apple Inc., Cupertino, CA, USA), and the RGB channels of the photograph were separated using ImageJ software. Since QD2 was used as a probe of LFIA emitting red fluorescence, PL analysis was performed using only the red channel. Green and blue channel images are shown in Figure S4. To confirm the LOD of the prepared kit, samples with various concentrations of PSA (0, 0.1, 0.3, 1, 3, 10, 30, and 100 ng/mL) were prepared and analyzed using the LFIA kit (Figure 2b). The results confirmed that non-specific binding did not occur in the absence of PSA, and the test line showed strong fluorescence intensity when the concentration of PSA was 100 ng/mL. For the quantitative analysis of PSA, fluorescence intensities of the test line (T value) and control line (C value) were measured using ImageJ. Since the C value decreases as the T value increases in LFIAs, the ratio of T to C values (T/C) is used for an accurate quantitative analysis [7]. Experiments were repeated three times at all concentrations, to obtain the T/C value at each concentration, and a fitting curve for the results was constructed (Figure 2c and Figure S5). The LOD of the developed LFIA kit was calculated as 0.138 ng/mL (R2 = 0.9865). To our knowledge, this LOD is the most sensitive result obtained to date for PSA detection using any LFIA kit based on fluorescence. Individuals with PSA concentration <2.5 ng/mL were considered to belong to a safe zone, while those with PSA concentration >2.5 ng/mL should seek medical advice (medical checkup zone) because the latter concentration implies an increased likelihood of developing prostate cancer [7].
Figure 2

(a) Schematic illustration of lateral flow immunoassay (LFIA) process and precise analysis; (b) fluorescence image showing only the red channel of the test strip with PSA developed under a 365 nm UV lamp; (c) T/C value and fitting curve of the fluorescence intensity generated for each concentration of PSA.

3.3. Detection of PSA in Human Serum Using the QD2-Based LFIA Test Strip

Experiments were conducted to identify the LFIA kit that detects PSA both in the prepared PSA solution and in the human serum. To this end, serum samples from 47 participants with PSA concentrations of 0.001–12.950 ng/mL were analyzed using the developed LFIA system (Table 1, Figure 3a). For accurate analysis, the T/C value of each serum sample was calculated, and these are denoted as dots in Figure 3b. Most T/C values were less than 0.4 at PSA concentration <2.5 ng/mL (the criterion distinguishing the safe zone from the medical checkup zone) and higher than 0.4 at PSA concentration >2.5 ng/mL. Although there were some cases where the T/C values were >0.4 at PSA concentration <2.5 ng/mL (false positive), the T/C values of all samples in the medical checkup zone were less than 0.4 (false negative) because of the impurity of the clinical samples, which include proteins other than PSA. Based on these results, potential prostate cancer patients who require medical checkups can be identified using the T/C value. Since the process of obtaining the T/C value only requires a smartphone and a software program, without additional equipment, patients undergoing examination can easily self-diagnose. Based on the threshold T/C value of 0.4, a receiver operating characteristic (ROC) curve was generated (Figure 3c) to illustrate the diagnostic ability of this binary classifier system [39,40]. AUC was also measured to present the overall summary of diagnostic accuracy. The resulting AUC was 0.852 (0.5 represents a coin flip (random) and 1.0 represents perfect diagnostic accuracy). In the developed system, there is no concern of missing the optimal treatment stage due to false-negative results, and it is possible to screen rapidly without obtaining the false-negative results. However, there are some limitations in that the false-positive cases should be reduced, and 0.5% PBST solution is required to develop serum. To overcome these limitations, our group plans to reduce non-specific binding and facilitate the development of serum by adding new blockers such as casein to the conjugate pad.
Table 1

PSA concentration in clinical samples.

Clinical Sample No.PSA Concentration (ng/mL)Clinical Sample No.PSA Concentration (ng/mL)Clinical Sample No.PSA Concentration (ng/mL)
10.001170.954334.557
20.159181.146344.655
30.164191.309354.815
40.300201.412364.888
50.323211.455374.931
60.429221.488385.182
70.479231.514395.607
80.514241.677405.880
90.577251.689416.418
100.619262.093427.551
110.677272.233437.729
120.797282.788447.900
130.897293.637458.125
140.919303.8474612.843
150.921314.0434712.950
160.945324.398--
Figure 3

(a) Fluorescence image showing only the red channel of the test strip after the development of human serum samples under a 365 nm UV lamp; (b) T/C value and concentration of PSA of each human serum sample; (c) ROC curve.

3.4. Selectivity Test of the Developed LFIA System

A selectivity test was conducted to test whether the developed LFIA kit selectively detected PSA. AFP, which is one of the biomarkers of liver cancer, newborn calf serum (NCS), and PSA (100 ng/mL) were developed on separate strips (Figure 4a). The results showed that during PSA detection, both the test and control lines showed fluorescence, while only the control line showed fluorescence during AFP and NCS detection. To determine the accuracy of the analysis, the T/C values of each strip were calculated (Figure 4b) as follows: 1.033 (PSA), 0.026 (AFP), and 0.014 (NCS). This result shows that the developed LFIA kit can detect PSA selectively.
Figure 4

(a) Fluorescence image showing only the red channel of the test strip after the development of PSA, alpha-fetoprotein (AFP), and newborn calf serum (NCS) under a 365 nm UV lamp for the selectivity test; (b) T/C value of PSA, AFP, and NCS in strip tests.

3.5. Stability Test of the Developed LFIA System

Clinical sample no. 31 (PSA concentration = 4.557 ng/mL) was analyzed using an LFIA kit, and the strip that was used for this analysis was photographed every day for 10 d to examine its signal stability (Figure 5a). As shown in Figure 5a, fluorescence intensity was maintained even after 10 d because of a low photobleaching characteristic of QD. To determine the accuracy of the analysis, the T/C value of the strip was calculated and normalized (Figure 5b). The results showed that the T/C value was maintained even after 10 d, and the relative standard deviation (RSD) was 6.16%. Collectively, these findings suggest that the fluorescence intensity does not markedly decrease and is sufficiently maintained for a long time after the system is tested.
Figure 5

(a) Fluorescence image showing only the red channel of the test strip (stored for 10 d) after the development of 4.557 ng/mL of human serum sample under a 365 nm UV lamp for the stability test; (b) normalized T/C value of the developed human serum sample.

4. Conclusions

In the present study, we developed a highly sensitive LFIA kit for detecting PSA using QD2. This LFIA kit can be used only with a smartphone and software without additional equipment. The developed LFIA kit had a LOD of 0.138 ng/mL, indicating the high sensitivity of the kit. In addition, 47 human serum samples were analyzed using the LFIA kit, and the results showed that the kit could be applied to actual clinical samples. Serum samples that contained more than 2.5 ng/mL of PSA could be identified after calculating the T/C value using this system, and thus, potential patients who need additional medical checkups can be identified. Although there were some false-positive results with PSA concentration <2.5 ng/mL, no false-negative results were obtained. The AUC value was calculated as 0.852. In addition, only PSA was detected selectively using the developed LFIA kit, and AFP and NCS were not detected. Furthermore, the fluorescence intensity did not significantly decrease for 10 d after the examination of fluorescence detected on the strip. The LFIA PSA test strip for prostate cancer screening developed in this study provides results rapidly and is easy to use; thus, patients can easily self-diagnose the disease without using complicated equipment.
  34 in total

1.  Lateral flow immunoassay using europium chelate-loaded silica nanoparticles as labels.

Authors:  Xiaohu Xia; Ye Xu; Xilin Zhao; Qingge Li
Journal:  Clin Chem       Date:  2008-10-30       Impact factor: 8.327

2.  Rapid and quantitative detection of prostate specific antigen with a quantum dot nanobeads-based immunochromatography test strip.

Authors:  Xue Li; Wenbin Li; Qiuhua Yang; Xiaoqun Gong; Weisheng Guo; Chunhong Dong; Junqing Liu; Lixue Xuan; Jin Chang
Journal:  ACS Appl Mater Interfaces       Date:  2014-05-02       Impact factor: 9.229

3.  Plasmonic ELISA for the ultrasensitive detection of disease biomarkers with the naked eye.

Authors:  Roberto de la Rica; Molly M Stevens
Journal:  Nat Nanotechnol       Date:  2012-10-28       Impact factor: 39.213

4.  Dual-color magnetic-quantum dot nanobeads as versatile fluorescent probes in test strip for simultaneous point-of-care detection of free and complexed prostate-specific antigen.

Authors:  Zhen Rong; Zikun Bai; Jianing Li; Hao Tang; Tianyi Shen; Qiong Wang; Chongwen Wang; Rui Xiao; Shengqi Wang
Journal:  Biosens Bioelectron       Date:  2019-09-20       Impact factor: 10.618

5.  Cancer Statistics, 2021.

Authors:  Rebecca L Siegel; Kimberly D Miller; Hannah E Fuchs; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2021-01-12       Impact factor: 508.702

6.  Quantifying the role of PSA screening in the US prostate cancer mortality decline.

Authors:  Ruth Etzioni; Alex Tsodikov; Angela Mariotto; Aniko Szabo; Seth Falcon; Jake Wegelin; Dante DiTommaso; Kent Karnofski; Roman Gulati; David F Penson; Eric Feuer
Journal:  Cancer Causes Control       Date:  2007-11-20       Impact factor: 2.506

Review 7.  Innovative biomarkers for prostate cancer early diagnosis and progression.

Authors:  Jingjing You; Paul Cozzi; Bradley Walsh; Mark Willcox; John Kearsley; Pamela Russell; Yong Li
Journal:  Crit Rev Oncol Hematol       Date:  2010-01       Impact factor: 6.312

8.  Molecular Form Differences Between Prostate-Specific Antigen (PSA) Standards Create Quantitative Discordances in PSA ELISA Measurements.

Authors:  Erica L McJimpsey
Journal:  Sci Rep       Date:  2016-02-25       Impact factor: 4.379

9.  Multi-Quantum Dots-Embedded Silica-Encapsulated Nanoparticle-Based Lateral Flow Assay for Highly Sensitive Exosome Detection.

Authors:  Hyung-Mo Kim; Chiwoo Oh; Jaehyun An; Seungki Baek; Sungje Bock; Jaehi Kim; Heung-Su Jung; Hobeom Song; Jung-Won Kim; Ahla Jo; Dong-Eun Kim; Won-Yeop Rho; Jin-Young Jang; Gi Jeong Cheon; Hyung-Jun Im; Bong-Hyun Jun
Journal:  Nanomaterials (Basel)       Date:  2021-03-18       Impact factor: 5.076

Review 10.  Nanomaterial-based biosensors for detection of prostate specific antigen.

Authors:  Dominika Damborska; Tomas Bertok; Erika Dosekova; Alena Holazova; Lenka Lorencova; Peter Kasak; Jan Tkac
Journal:  Mikrochim Acta       Date:  2017-07-14       Impact factor: 5.833

View more
  2 in total

1.  Highly Sensitive Nanomagnetic Quantification of Extracellular Vesicles by Immunochromatographic Strips: A Tool for Liquid Biopsy.

Authors:  Vera A Bragina; Elena Khomyakova; Alexey V Orlov; Sergey L Znoyko; Elizaveta N Mochalova; Liliia Paniushkina; Victoria O Shender; Thalia Erbes; Evgeniy G Evtushenko; Dmitry V Bagrov; Victoria N Lavrenova; Irina Nazarenko; Petr I Nikitin
Journal:  Nanomaterials (Basel)       Date:  2022-05-06       Impact factor: 5.719

Review 2.  Nanotechnology: A Promising Approach for Cancer Diagnosis, Therapeutics and Theragnosis.

Authors:  Mesfin Dessale; Getachew Mengistu; Hylemariam Mihiretie Mengist
Journal:  Int J Nanomedicine       Date:  2022-08-26
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.