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. 2026 Mar 24;2026:10.17912/micropub.biology.002001. doi: 10.17912/micropub.biology.002001

Smartphone-based simplified Western blotting detection method

Kai Aoki 1,§, Koyuki Ota 1, Kaoruko Watanabe 1, Honoka Ishii 1, Kazuhiro Takekoshi 2
Reviewed by: Makoto Hagiwara
PMCID: PMC13058749  PMID: 41960551

Abstract

Western blotting is a widely used technique for the detection of specific proteins and is a fundamental tool in biomedical research and education. However, conventional chemiluminescent detection systems are expensive and often inaccessible in educational or resource-limited laboratory environments. In this study, we evaluated a low-cost smartphone-based chemiluminescence detection method and demonstrated that it enables reliable qualitative detection of protein expression, highlighting its potential for both educational and basic research applications.


Figure 1. Smartphone-based chemiluminescence imaging of Western blotting.

Figure 1. Smartphone-based chemiluminescence imaging of Western blotting

(A) Experimental setup for Western blot detection using a smartphone. (B) GAPDH detection using the native smartphone camera in night mode. Lanes #1–#9 correspond to total protein loads of 30, 25, 20, 15, 10, 7.5, 5, 2.5, and 1 μg, respectively. The lower graph shows the linear relationship between band intensity and total protein amount loaded. (C) Detection of GAPDH using an astrophotography application and confirmation of signal linearity. (D) Detection of renalase protein in renalase-overexpressing (OE) HCT116 cells. EGFP-expressing HCT116 cells were used as a control. (E) Detection of renalase following shRNA-mediated knockdown in renalase-OE cells. Scrambled shRNA (Scr)–expressing renalase-OE HCT116 cells served as a control, whereas renalase-specific shRNA (sh) indicates the knockdown condition.

Description

Immunoblotting (Western blotting) is a globally established standard technique with a history spanning over 45 years [Moritz 2020]. The methodology is built upon foundational electrophoretic separation by sodium dodecyl sulfate–polyacrylamide gel electrophoresis (SDS-PAGE), originally described by Laemmli (1970), followed by electrophoretic transfer to membranes as reported by Towbin et al. (1979). The term “Western blotting” was later coined by Burnette (1981). Subsequent refinements of SDS-PAGE have further enhanced procedural efficiency and practical usability (Hagiwara 2022; 2025). Western blotting holds significant educational value, integrating multiple biochemical principles—including protein denaturation, electrophoretic separation, membrane transfer, and antigen–antibody interactions—and is widely incorporated into healthcare and science curricula (Begum 2022). However, the final step—chemiluminescence detection—often necessitates costly, dedicated imaging systems (e.g., CCD/CMOS cameras), priced from approximately JPY 1,980,000 (ATTO) to JPY 3,500,000 (BIO-RAD). This high cost renders implementation unaffordable for many institutions and classrooms, making the incorporation of Western blotting into educational courses challenging. In research settings, the lack of immediate equipment access creates a significant bottleneck for quickly ascertaining the qualitative presence of a protein or confirming the success of genetic modifications (knockout, knockdown, or overexpression). Recent advances in smartphone camera performance have facilitated the development of diverse biological applications, including fluorescence and luminescence detection, colorimetric and biosensing assays, quantitative protein analysis, and low-cost imaging or microscopy platforms (Hossain et al., 2017; Hosu et al., 2017; Kim et al., 2017; Krishnan et al., 2021; Moreira D.C., 2022; Moreira D.C., 2023; Cooper et al., 2023; Schaefer et al., 2023; Jiao et al., 2024; Yu et al., 2025). Therefore, we investigated whether chemiluminescence imaging could be successfully performed using ubiquitous smartphones, focusing on providing a highly accessible and practical detection alternative.

Initially, we tried to detect chemiluminescence signals using a standard smartphone camera with night mode. The smartphone was positioned as illustrated in Figure 1A to detect GAPDH. Although we could detect the GAPDH signals, band’s detail, shape and visibility was not satisfactory ( Figure 1B ). Based on this result, we next employed an application (app) designed for astronomical observation “AstroShader” due to its superior light capture capabilities compared to a standard camera application. GAPDH could be detected even with a total protein amount of 1 μg. Analyzing the linearity of the quantitative values obtained for GAPDH showed that the range from 1 μg to 30 μg demonstrated insufficient linearity for precise quantification (R 2 =0.89), while the restricted range from 1 μg to 20 μg exhibited high linearity (R 2 =0.99). We then verified the system's capability to detect overexpression and knockdown using the astronomical app when 10 μg of total protein was loaded ( Figure 1C, D). Renalase expression was confirmed in overexpressing HCT116 cells and was observed to be markedly fainter following shRNA-based knockdown (KD). This demonstrates that smartphones can be reliably used for the qualitative confirmation of protein overexpression and knockdown, providing a rapid and simplified checkpoint essential for many research protocols. However, since this experiment did not assess differences at physiological protein expression levels, nor did it detect knockdown or knockout at those endogenous levels, further investigation in this area is warranted.

To summarize our key findings: 1) GAPDH could be detected using the smartphone-based system, with a linear detection range from 1 μg to 20 μg of total protein loaded; 2) The system was capable of qualitatively detecting the presence or absence of a target protein; and 3) A clear reduction in protein level could be detected following shRNA-based KD treatments. Among low-cost alternatives, Khoury et al. successfully used a digital SLR camera (Khoury et al 2009). In contrast, our research aimed to explore an even simpler and more universally accessible methodology, leading us to select the use of a smartphone. Although smartphone camera performance varies across devices, the iPhone 13 mini successfully met the necessary detection thresholds. These findings suggest that detection efficacy depends more on the high-sensitivity, multi-exposure capabilities provided by specialized camera applications—such as those designed for astrophotography—rather than being limited to specific hardware models. This broad applicability is essential for educational purposes and rapid, on-site research. The detection parameters (exposure time, ISO, and number of exposures) were established as initial proof-of-concept settings based on standard chemiluminescence protocols, rather than exhaustive optimization. The system's primary advantage is its flexibility; users can easily adjust these settings to accommodate varying protein expression levels. In the future, smartphone-based platforms integrated with AI-driven analysis will offer cost-effective alternatives for diverse biological detections without requiring specialized laboratory equipment (Nonno and Ulber 2021; Avci 2025).In conclusion, although our method is not intended for highly precise quantitative analysis, we believe that it provides a practical and highly accessible solution for laboratories and educational environments lacking specialized, high-cost imaging equipment, allowing for the widespread implementation of Western blotting for fundamental understanding and rapid qualitative verification.

Methods

Plasmids and Cell Culture

Caco-2 cells (Cat. No. 86010202) and HCT116 cells (Cat. No. 91091005) were purchased from ECACC (Salisbury, UK). Caco-2 cells were maintained in DMEM supplemented with 10% FBS, 1% MEM non-essential amino acids, and 1% penicillin-streptomycin. HCT116 cells were cultured in RPMI 1640 Medium supplemented with 10% FBS and 1% penicillin-streptomycin. All cells were incubated at 37 ∘C in 5% CO2​. Caco-2 cells were harvested after reaching 100% confluence. Plasmids (VectorBuilder) were transfected using FuGENE®4K. EGFP-HCT116 and renalase-overexpressing HCT116 overexpressing cell lines were established by puromycin selection (2 μg/mL) for 7 days, followed by single clone isolation. Cells expressing scrambled or renalase-specific shRNA were harvested three days after shRNA induction.

 

Sample Preparation and Western Blotting

Total proteins were extracted using ice-cold 1% NP-40 lysis buffer (1% NP-40, 50 mmol/L Tris-HCl, 150 mmol/L NaCl, 1 mmol/L EDTA) supplemented with a protease inhibitor tablet (Roche, Basel, Switzerland). Cells were lysed, vortexed briefly, and centrifuged at 12,000 × g for 10 min at 4°C (Model 3530 centrifuge, KUBOTA CORPORATION). The supernatant was collected as whole-cell lysate. Protein concentrations were determined using a BCA protein assay kit (Nacalai Tesque). Samples were prepared in 2× sample buffer (Bio-Rad) containing 5% 2-mercaptoethanol and boiled prior to loading. For Figure 1B and C, 1–30 μg of total protein per lane was loaded. For Figure 1D and E, 10 μg of total protein per lane was separated on 12% SDS-polyacrylamide gels using SDS-PAGE running buffer (25 mmol/L Tris, 192 mmol/L glycine, 0.1% SDS). Polyacrylamide gels were prepared using a gel casting kit (Bio-Rad). Proteins were transferred onto polyvinylidene fluoride (PVDF) membranes using a Trans-Blot Turbo Transfer System with a corresponding transfer kit (Bio-Rad). Membranes were blocked with 5% skim milk in 0.1% TBS-T for 30 min at room temperature with agitation. Membranes were then incubated overnight at 4℃ with primary antibodies (anti-GAPDH or anti-Renalase) diluted in antibody dilution buffer (Beacle, Inc.), followed by washing three times for 5 min each with 0.1% TBS-T. Membranes were incubated with appropriate secondary antibodies diluted in 5% skim milk in 0.1% TBS-T for 1 h at room temperature with agitation. Immunoreactive bands were visualized using a chemiluminescent detection reagent (ATTO) after three additional washes. Detecting images were saved as RAW files. For quantification, RAW images were uploaded to PowerPoint, saved as PNG files, and then converted to TIFF files using ImageJ for subsequent quantification.

 

Detection Conditions and Software

A dedicated detection setup was developed ( Figure 1A ) using an iPhone 13 mini mounted on a tripod. A pedestal (e.g., Styrofoam) was utilized to reduce the distance, and a black plate was placed beneath the membrane to suppress reflections. The distance between the membrane and the camera was set to approximately 22 cm. The detection area was enclosed by a blackout curtain to achieve the darkest environment possible. The astronomical observation application (AstroShader v1.0.34 (6)) was used for chemiluminescence detection. The key settings were configured as follows: focus 0.6, number of exposures 10, exposure time 5 sec, ISO 1597, camera timer 3 sec, and save format RAW.

Reagents

Reagents

CELL LINE

DESCRIPTION

MANUFACTURER

CAT. NO.

CACO-2

Human colorectal cancer cell line

ECACC

86010202

HCT116

Human colorectal cancer cell line

ECACC

91091005

PLASMID

CONSTRUCT

MANUFACTURER

CAT. NO.

pRP[Exp]-EGFP/

Puro-CAG>ORF_stuffer

EGFP/Puromycin

Vector Builder

VB010000-9288rhy

pRP[Exp]-EGFP/Puro-CAG>hRNLS[NM_001031709.3]

EGFP/Puromycin

Human Renalase

Vector Builder

VB900015-4260jwp

pRP[shRNA]-EGFP/

Puro-U6>Scramble[shRNA#1]

EGFP/Puromycin

Scramble shRNA

Vector Builder

VB010000-9341vde

pRP[shRNA]-EGFP:P2A:Puro-U6>hRNLS[shRNA#1]

EGFP/Puromycin

Human Renalase specific shRNA

Vector Builder

VB250723-1661cfb

REAGENTS

DESCRIPTION

MANUFACTURER

CAT. NO.

FuGENE®4K

Transfection reagents

Promega

E5911

Puromycin

Selection antibiotics

INVIVOGEN

ant-pr-1

MEM Non-Essential Amino Acids Solution(100x)

NEAA solution

Nacalai Tesque

06344-56

Penicillin-Streptomycin Solution (×100)

Antibiotics

WAKO

168-23191

cOmplete™, Mini

Proteinase inhibitor

Roche

04693124001

Protein Assay BCA Kit

Quantification of protein concentration

Nacalai Tesque

06385-00

2×Laemmli Sample Buffer

Preparation of loading sample

Bio-Rad

#1610737

TGX™ FastCast™ Acrylamide Solution Kit, 12%

Acrylamide gel casting kit

Bio-Rad

#1610175

Transblot Turbo RTA Transfer Kit PVDF (Mini)

Transfer kit including PVDF membrane and buffer

Bio-Rad

# 1704272

Tris Buffered Saline with Tween ® 20 (TBS-T) Tablets, pH7.6

Wash buffer

Takara

T9142

EzWestLumi Plus

HRP luminescent substrate

ATTO

WSE-7120S

Signal Booster

Antibody diluent reagent

Beacle Inc.

BCL-125A

ANTIBODY

ANIMAL AND CLONALITY

DESCRIPTION

Anti-GAPDH

Mouse monoclonal

Santacruz Biotechnology, sc-365062, Dilution ratio 1:500

Anti-Renalase

Rabbit polyclonal

Proteintech Group, 15003-1-AP, Dilution ratio 1:2000

HRP conjugate secondary antibody

anti-rabbit or mouse IgG

CST, 7074 or 7076, Dilution ratio 1:5000

Acknowledgments

The renalase overexpression-HCT116 cells used in this study were originally generated under JSPS KAKENHI (Grant-in-Aid for JSPS Research Fellows) Grant Number 23KJ1946. During the preparation of this manuscript, the authors used AI tools in order to improve the English language and grammar. After using this tool, the authors reviewed and edited the content as needed and take full responsibility for the content of the publication.

Funding Statement

This research received no external funding.

References

  1. Avci MB, Kurul F, Topkaya SN, Cetin AE. Smartphone-based biosensing: a review of optical imaging, microfluidic integration, and AI-enhanced analysis. Mikrochim Acta. 2025 Nov 3;192(12):786–786. doi: 10.1007/s00604-025-07523-0. [DOI] [PubMed] [Google Scholar]
  2. Begum H, Murugesan P, Tangutur AD. Western blotting: a powerful staple in scientific and biomedical research. Biotechniques. 2022 Jul 1;73(1):58–69. doi: 10.2144/btn-2022-0003. [DOI] [PubMed] [Google Scholar]
  3. Burnette WN. "Western blotting": electrophoretic transfer of proteins from sodium dodecyl sulfate--polyacrylamide gels to unmodified nitrocellulose and radiographic detection with antibody and radioiodinated protein A. Anal Biochem. 1981 Apr 1;112(2):195–203. doi: 10.1016/0003-2697(81)90281-5. [DOI] [PubMed] [Google Scholar]
  4. Cooper JG, Donofrio NM, Caplan JL, Chaya TR. Visualizing Early Infection Sites of Rice Blast Disease (Magnaporthe oryzae) on Barley (Hordeum vulgare) Using a Basic Microscope and a Smartphone. J Vis Exp. 2023 Mar 17;(193) doi: 10.3791/64794. [DOI] [PubMed] [Google Scholar]
  5. Di Nonno S, Ulber R. Smartphone-based optical analysis systems. Analyst. 2021 May 4;146(9):2749–2768. doi: 10.1039/d1an00025j. [DOI] [PubMed] [Google Scholar]
  6. Hagiwara M. Sodium dodecyl sulfate-polyacrylamide gel electrophoresis and western blotting analyses via colored stacking gels. Anal Biochem. 2022 Jun 3;652:114751–114751. doi: 10.1016/j.ab.2022.114751. [DOI] [PubMed] [Google Scholar]
  7. Hagiwara M. A time-saving one-step polyacrylamide gel with a colored stacking gel for SDS-PAGE and western blotting. Anal Biochem. 2024 Sep 26;696:115680–115680. doi: 10.1016/j.ab.2024.115680. [DOI] [PubMed] [Google Scholar]
  8. Hossain MA, Canning J, Yu Z, Ast S, Rutledge PJ, Wong JK, Jamalipour A, Crossley MJ. Time-resolved and temperature tuneable measurements of fluorescent intensity using a smartphone fluorimeter. Analyst. 2017 May 30;142(11):1953–1961. doi: 10.1039/c7an00535k. [DOI] [PubMed] [Google Scholar]
  9. Hosu O, Ravalli A, Lo Piccolo GM, Cristea C, Sandulescu R, Marrazza G. Smartphone-based immunosensor for CA125 detection. Talanta. 2017 Jan 26;166:234–240. doi: 10.1016/j.talanta.2017.01.073. [DOI] [PubMed] [Google Scholar]
  10. Jiao Z, Pan M, Yousaf K, Doveiko D, Maclean M, Griffin D, Chen Y, Li DDU. Smartphone-based optical sectioning (SOS) microscopy with a telecentric design for fluorescence imaging. J Microsc. 2024 May 29;296(1):10–23. doi: 10.1111/jmi.13334. [DOI] [PubMed] [Google Scholar]
  11. Khoury MK, Parker I, Aswad DW. Acquisition of chemiluminescent signals from immunoblots with a digital single-lens reflex camera. Anal Biochem. 2009 Sep 27;397(1):129–131. doi: 10.1016/j.ab.2009.09.041. [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Kim H, Jung Y, Doh IJ, Lozano-Mahecha RA, Applegate B, Bae E. Smartphone-based low light detection for bioluminescence application. Sci Rep. 2017 Jan 9;7:40203–40203. doi: 10.1038/srep40203. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Krishnan T, Wang HN, Vo-Dinh T. Smartphone-Based Device for Colorimetric Detection of MicroRNA Biomarkers Using Nanoparticle-Based Assay. Sensors (Basel) 2021 Dec 1;21(23) doi: 10.3390/s21238044. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Laemmli UK. Cleavage of structural proteins during the assembly of the head of bacteriophage T4. Nature. 1970 Aug 15;227(5259):680–685. doi: 10.1038/227680a0. [DOI] [PubMed] [Google Scholar]
  15. Moritz CP. 40 years Western blotting: A scientific birthday toast. J Proteomics. 2019 Nov 6;212:103575–103575. doi: 10.1016/j.jprot.2019.103575. [DOI] [PubMed] [Google Scholar]
  16. Moreira DC. RGBradford: Accurate measurement of protein concentration using a smartphone camera and the blue to green intensity ratio. Anal Biochem. 2022 Aug 18;655:114839–114839. doi: 10.1016/j.ab.2022.114839. [DOI] [PubMed] [Google Scholar]
  17. Moreira DC. RGBradford: Protein Quantitation with a Smartphone Camera. J Vis Exp. 2023 Sep 8;(199) doi: 10.3791/65547. [DOI] [PubMed] [Google Scholar]
  18. Schaefer MA, Nelson HN, Butrum JL, Gronseth JR, Hines JH. A low-cost smartphone fluorescence microscope for research, life science education, and STEM outreach. Sci Rep. 2023 Mar 9;13(1):2722–2722. doi: 10.1038/s41598-023-29182-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Towbin H, Staehelin T, Gordon J. Electrophoretic transfer of proteins from polyacrylamide gels to nitrocellulose sheets: procedure and some applications. Proc Natl Acad Sci U S A. 1979 Sep 1;76(9):4350–4354. doi: 10.1073/pnas.76.9.4350. [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Yu Y, Zhao L, Xu N, Liu X, Li L, Xu N, Bai X. A smartphone-based enhanced colorimetric immunoassay for the detection of Trichinella spiralis infection. Vet Parasitol. 2024 May 21;333:110213–110213. doi: 10.1016/j.vetpar.2024.110213. [DOI] [PubMed] [Google Scholar]

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