Qiang Ma
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Qiang Ma has a total of 158 co-authors. Here are the top co-authors by number of shared publications:
Peilin Wang
Jilin University
60 shared publicationsZhenrun Li
41 shared publicationsZihui Liang
Key Laboratory of Preparation and Applications of Environmental Friendly Materials, Ministry of Education, College of Chemistry
32 shared publicationsWenyan Li
24 shared publicationsYixin Nie
Department of Analytical Chemistry, College of Chemistry, Jilin University, Changchun, 130012, China
20 shared publicationsFangyan Ji
Jilin University
15 shared publications
Latest Publications
- 16 October 2026
- Published by American Chemical Society (ACS) in ACS Sensors
Dielectrophoresis-Assisted PVDF/DES/Au NP-Based Microfluidic ECL Biosensor for In Situ Detection of Extracellular Vesicles
Herein, a regenerable dielectrophoresis (DEP)-assisted microfluidic electrochemiluminescence (ECL) biosensor was developed for in situ detection of extracellular vesicles (EVs) in gastric cancer ascites. In the integrated microfluidic ECL sensor, a poly(vinylidene fluoride-co-hexafluoropropylene) (PVDF-HFP)/deep eutectic solvent (DES)/Au NP (PDES/Au NPs) self-supporting electrode was developed. The DES treatment increased the polar β-phase proportion in PVDF-HFP and improved its conductivity. Meanwhile, Au NPs deposited on the electrode surface amplified the ECL signal of Ru(bpy)32+/TPrA@SiO2 nanobeads through the localized surface plasmon resonance (LSPR) effect and generated an inhomogeneous electric field distribution for EV capture. Due to the DEP effect, the polarized EVs migrated and enriched on the PDES/Au NP electrode surface. As a result, the isolation time of EVs was reduced from 120 to 30 min. Consequently, the sensing platform effectively captured and detected EVs in gastric cancer ascites. The detection range was 1.0 × 101.6–1.0 × 105.3 particles μL–1, and the limit of detection was 9 particles μL–1. Moreover, a regenerative strategy was designed by controllably cleaving Au–S bonds on the self-supporting electrode. This developed microfluidic ECL biosensor achieved real-time quantification of low-concentration EVs in ascites, which established a promising analytical tool for gastric cancer diagnosis as well as the discrimination of peritoneal metastatic lesions.
- 16 October 2026
- Published by American Chemical Society (ACS) in ACS Sensors
Dielectrophoresis-Assisted PVDF/DES/Au NP-Based Microfluidic ECL Biosensor for In Situ Detection of Extracellular Vesicles
Herein, a regenerable dielectrophoresis (DEP)-assisted microfluidic electrochemiluminescence (ECL) biosensor was developed for in situ detection of extracellular vesicles (EVs) in gastric cancer ascites. In the integrated microfluidic ECL sensor, a poly(vinylidene fluoride-co-hexafluoropropylene) (PVDF-HFP)/deep eutectic solvent (DES)/Au NP (PDES/Au NPs) self-supporting electrode was developed. The DES treatment increased the polar β-phase proportion in PVDF-HFP and improved its conductivity. Meanwhile, Au NPs deposited on the electrode surface amplified the ECL signal of Ru(bpy)32+/TPrA@SiO2 nanobeads through the localized surface plasmon resonance (LSPR) effect and generated an inhomogeneous electric field distribution for EV capture. Due to the DEP effect, the polarized EVs migrated and enriched on the PDES/Au NP electrode surface. As a result, the isolation time of EVs was reduced from 120 to 30 min. Consequently, the sensing platform effectively captured and detected EVs in gastric cancer ascites. The detection range was 1.0 × 101.6–1.0 × 105.3 particles μL–1, and the limit of detection was 9 particles μL–1. Moreover, a regenerative strategy was designed by controllably cleaving Au–S bonds on the self-supporting electrode. This developed microfluidic ECL biosensor achieved real-time quantification of low-concentration EVs in ascites, which established a promising analytical tool for gastric cancer diagnosis as well as the discrimination of peritoneal metastatic lesions.
- 22 July 2026
- Published by American Chemical Society (ACS) in Analytical Chemistry
- Vol. 98 (30) , 22502-22510
Zn2GeO4:Mn Luminescent Superparticles/Au–Ag Bimetallic Nanoarrays for ECL Detection of miRNA-156a in Ginseng Exosomes
MicroRNA (miRNA) in plant exosomes exhibits cross-species regulatory properties, opening a new avenue for researching natural pharmacodynamic molecules. In this study, a novel biosensing system has been developed based on Zn2GeO4:Mn luminescent superparticles/Au–Ag bimetallic nanoarrays for the detection of miRNA-156a in ginseng. First, polyoxyethylene–polyoxypropylene–polyoxyethylene (PEO–PPO–PEO) triblock copolymer (P123) is used as a structure-directing agent to induce the directional self-assembly of Zn2GeO4:Mn nanorods as luminescent superparticles (SPs). Moreover, the hydrophilic end of P123 adsorbs more coreactants to accelerate reaction kinetics and significantly boosts the intensity and stability of electrochemiluminescence (ECL). Meanwhile, a Au–Ag bimetallic nanoarray is fabricated as an electrode modification interface. This Au–Ag bimetallic nanoarray enlarges the electrochemical surface area and elevates electron-transfer rates, leading to remarkable ECL signal enhancement. Furthermore, the high catalytic activity of Ag lowers the energy barrier for the electrochemical reaction in the system, thereby enabling the ECL reaction to proceed at a lower negative potential. Finally, a sandwich-type ECL biosensor is constructed for the detection of miRNA-156a in ginseng exosomes. The sensor has a linear range of 1 fM to 1 nM and a limit of detection (LOD) as low as 1.3 fM, which offers technical support for the pharmacodynamic evaluation and medicinal part selection of ginseng.
- 22 July 2026
- Published by American Chemical Society (ACS) in Analytical Chemistry
- Vol. 98 (30) , 22502-22510
Zn2GeO4:Mn Luminescent Superparticles/Au–Ag Bimetallic Nanoarrays for ECL Detection of miRNA-156a in Ginseng Exosomes
MicroRNA (miRNA) in plant exosomes exhibits cross-species regulatory properties, opening a new avenue for researching natural pharmacodynamic molecules. In this study, a novel biosensing system has been developed based on Zn2GeO4:Mn luminescent superparticles/Au–Ag bimetallic nanoarrays for the detection of miRNA-156a in ginseng. First, polyoxyethylene–polyoxypropylene–polyoxyethylene (PEO–PPO–PEO) triblock copolymer (P123) is used as a structure-directing agent to induce the directional self-assembly of Zn2GeO4:Mn nanorods as luminescent superparticles (SPs). Moreover, the hydrophilic end of P123 adsorbs more coreactants to accelerate reaction kinetics and significantly boosts the intensity and stability of electrochemiluminescence (ECL). Meanwhile, a Au–Ag bimetallic nanoarray is fabricated as an electrode modification interface. This Au–Ag bimetallic nanoarray enlarges the electrochemical surface area and elevates electron-transfer rates, leading to remarkable ECL signal enhancement. Furthermore, the high catalytic activity of Ag lowers the energy barrier for the electrochemical reaction in the system, thereby enabling the ECL reaction to proceed at a lower negative potential. Finally, a sandwich-type ECL biosensor is constructed for the detection of miRNA-156a in ginseng exosomes. The sensor has a linear range of 1 fM to 1 nM and a limit of detection (LOD) as low as 1.3 fM, which offers technical support for the pharmacodynamic evaluation and medicinal part selection of ginseng.
- 9 July 2026
- Published by American Chemical Society (ACS) in Analytical Chemistry
- Vol. 98 (29) , 21422-21431
POM@Cu-MOF/Hydrogel Quasi-Solid Electrolyte-Integrated ECL Biosensor for miRNA-155 Detection in Triple-Negative Breast Cancer Diagnosis
This study developed a novel electrochemiluminescence (ECL) biosensor for detecting miRNA-155, integrating polyoxometalate@metal–organic framework (POM@Cu-MOF) as a luminescent nanoprobe with a highly conductive hydrogel (PIL-Zn-SBMA) as a quasi-solid electrolyte. On the one hand, polyoxometalate was encapsulated in the Cu-MOF through host–guest interactions. Therefore, the modulated local microenvironment in POM@Cu-MOF suppressed low-energy emission and significantly improved the ECL performance of Cu-MOF. On the other hand, zwitterions formed high-speed ion-transport pathways in the PIL-Zn-SBMA hydrogel, providing excellent conductivity. The PIL-Zn-SBMA hydrogel offered an unobstructed ionic compensation pathway for the ECL process and improved the application ability and stability. As a result, the ECL reaction was accelerated, generating strong luminescence signals. Finally, based on the catalytic hairpin assembly amplification strategy, miRNA-155 was captured on the PIL-Zn-SBMA hydrogel and recognized by POM@Cu-MOF. The generated ECL signal can be used for the quantitative detection of miRNA-155 concentration in triple-negative breast cancer (TNBC) tissues within the range of 0.1 fM to 10 nM, with a detection limit of 0.1 fM. This POM@Cu-MOF/hydrogel quasi-solid electrolyte study provided a novel, reliable approach for biomarker detection in clinical diagnosis.
- 9 July 2026
- Published by American Chemical Society (ACS) in Analytical Chemistry
- Vol. 98 (29) , 21422-21431
POM@Cu-MOF/Hydrogel Quasi-Solid Electrolyte-Integrated ECL Biosensor for miRNA-155 Detection in Triple-Negative Breast Cancer Diagnosis
This study developed a novel electrochemiluminescence (ECL) biosensor for detecting miRNA-155, integrating polyoxometalate@metal–organic framework (POM@Cu-MOF) as a luminescent nanoprobe with a highly conductive hydrogel (PIL-Zn-SBMA) as a quasi-solid electrolyte. On the one hand, polyoxometalate was encapsulated in the Cu-MOF through host–guest interactions. Therefore, the modulated local microenvironment in POM@Cu-MOF suppressed low-energy emission and significantly improved the ECL performance of Cu-MOF. On the other hand, zwitterions formed high-speed ion-transport pathways in the PIL-Zn-SBMA hydrogel, providing excellent conductivity. The PIL-Zn-SBMA hydrogel offered an unobstructed ionic compensation pathway for the ECL process and improved the application ability and stability. As a result, the ECL reaction was accelerated, generating strong luminescence signals. Finally, based on the catalytic hairpin assembly amplification strategy, miRNA-155 was captured on the PIL-Zn-SBMA hydrogel and recognized by POM@Cu-MOF. The generated ECL signal can be used for the quantitative detection of miRNA-155 concentration in triple-negative breast cancer (TNBC) tissues within the range of 0.1 fM to 10 nM, with a detection limit of 0.1 fM. This POM@Cu-MOF/hydrogel quasi-solid electrolyte study provided a novel, reliable approach for biomarker detection in clinical diagnosis.
- 5 July 2026
- Published by Elsevier in Biosensors and Bioelectronics
- Vol. 311, 118984
Propylene carbonate-PVDF-HFP/MXene-based self-powered biosensor for auxiliary detection of salivary exosomal miRNA-155 in pediatric asthma
- 5 July 2026
- Published by Elsevier in Biosensors and Bioelectronics
- Vol. 311, 118984
Propylene carbonate-PVDF-HFP/MXene-based self-powered biosensor for auxiliary detection of salivary exosomal miRNA-155 in pediatric asthma
- 1 July 2026
- Published by American Chemical Society (ACS) in Analytical Chemistry
- Vol. 98 (27) , 20607-20616
A Self-Powered Sensing Platform Based on the Janus Heterostructure for Machine Learning-Assisted Dual-Mode Detection of 17β-Estradiol
Interfacial energy level mismatch and inefficient charge extraction at bioelectrochemical interfaces have remained major bottlenecks for enzymatic biofuel cell-based self-powered sensing systems. Here, we reported a built-in electric field (BIEF) enabled self-powered sensing platform for intelligent dual-mode detection of 17β-estradiol (E2), featuring an energy level engineered Janus bioanode that uses work function differences to drive directional charge extraction during cascade biocatalysis. The Janus heterointerface was constructed by Zn-O-Ti coordination between unsaturated Zn2+ sites in ZIF-8-NH2 and -O-terminated Ti3C2Tx, inducing an intrinsic BIEF and strengthened interfacial electronic coupling. Density functional theory calculations revealed favorable energy level alignment between the enzymatic redox donor FADH2 (-4.73 eV) and the Zn-O-Ti interface (-5.11 eV), enabling low barrier electron injection and enhanced bioelectrocatalysis. For E2 sensing, an aptamer triggered hybridization chain reaction regulated methylene blue loading on the biocathode, converting target recognition into coupled electrochemical and optical outputs. The enzymatic biofuel cell was integrated on a screen-printed electrode with an IoT connected voltmeter for real-time wireless readout, while machine learning-assisted fusion improved analytical robustness in piped water, lake water, and human serum. This work highlighted Janus interfacial energy level engineering as a general strategy for regulating charge transfer in bioelectrochemical systems.
- 1 July 2026
- Published by American Chemical Society (ACS) in Analytical Chemistry
- Vol. 98 (27) , 20607-20616
A Self-Powered Sensing Platform Based on the Janus Heterostructure for Machine Learning-Assisted Dual-Mode Detection of 17β-Estradiol
Interfacial energy level mismatch and inefficient charge extraction at bioelectrochemical interfaces have remained major bottlenecks for enzymatic biofuel cell-based self-powered sensing systems. Here, we reported a built-in electric field (BIEF) enabled self-powered sensing platform for intelligent dual-mode detection of 17β-estradiol (E2), featuring an energy level engineered Janus bioanode that uses work function differences to drive directional charge extraction during cascade biocatalysis. The Janus heterointerface was constructed by Zn-O-Ti coordination between unsaturated Zn2+ sites in ZIF-8-NH2 and -O-terminated Ti3C2Tx, inducing an intrinsic BIEF and strengthened interfacial electronic coupling. Density functional theory calculations revealed favorable energy level alignment between the enzymatic redox donor FADH2 (-4.73 eV) and the Zn-O-Ti interface (-5.11 eV), enabling low barrier electron injection and enhanced bioelectrocatalysis. For E2 sensing, an aptamer triggered hybridization chain reaction regulated methylene blue loading on the biocathode, converting target recognition into coupled electrochemical and optical outputs. The enzymatic biofuel cell was integrated on a screen-printed electrode with an IoT connected voltmeter for real-time wireless readout, while machine learning-assisted fusion improved analytical robustness in piped water, lake water, and human serum. This work highlighted Janus interfacial energy level engineering as a general strategy for regulating charge transfer in bioelectrochemical systems.