Tansel Dogan | Engineering | Distinguished Scientist Award

Published on by Research Hypothesis

Distinguished Scientist Award

Tansel Dogan
DMT GMBH, Germany

Tansel Dogan
Affiliation DMT GMBH
Country Germany
Scopus ID 58149576600
Documents 4
Citations 26
h-index 3
Subject Area Engineering
Event International Research Hypothesis Excellence Award
ORCID 0000-0001-7511-5097

Tansel Dogan is a Germany-based researcher affiliated with DMT GMBH whose documented research record encompasses engineering, mining, sustainable transition, post-mining management, and the interaction between geological materials and cement-based systems. His indexed publication record includes work addressing particle grading and interfacial behavior in rock specimens, European coal-transition pathways, post-mining management in the Ruhr region, and the preservation and visualization of European coal-mining heritage. These publications provide a basis for considering his research profile in the context of the International Research Hypothesis Excellence Award. [1] [2] [3] [4]

Abstract

Tansel Dogan’s documented research activity is situated within engineering and mining-related research, with publications addressing both technical and broader sustainability dimensions of the mining sector. His recent work includes an investigation of particle grading in core-derived rock specimens and its relationship with cement-based paste filling, rock interfacial behavior, strength acquisition, and microstructural development. [1] His research record also includes studies of coal-transition pathways in the European Union, with attention to governance and regional transformation in Germany, Poland, and Czechia, as well as post-mining management in the Ruhr region and potential knowledge transfer to Kosovo’s mining sector. [2] [3] A further publication examines European coal-mining heritage through the CoalHeritage initiative. [4]

Keywords

Tansel Dogan; Engineering; Mining Engineering; Sustainable Mining; Coal Transition; Post-Mining Management; Rock Mechanics; Cement-Based Paste Filling; Mining Heritage; European Mining; Knowledge Transfer; Regional Transformation; Microstructural Development.

Introduction

Contemporary mining engineering increasingly combines technical investigation of mining materials and processes with environmental, economic, governance, and regional-transition considerations. Within this context, Dogan’s documented publications represent several interconnected areas of mining research. The 2026 article on particle grading examines the behavior of core-derived rock specimens when used in cement-based paste filling systems, linking material characteristics with interfacial behavior, strength development, and microstructural progress. [1]

Research Profile

Dogan is affiliated with DMT GMBH in Germany and is identified in the supplied research record by Scopus Author ID 58149576600 and ORCID 0000-0001-7511-5097. The supplied bibliometric information records 4 documents, 26 citations, and an h-index of 3. These metrics provide a quantitative snapshot of the indexed record and should be interpreted in relation to publication dates, database coverage, disciplinary citation practices, and the development stage of the research portfolio.[1] [2] [3] [4]

Research Contributions

The available publications indicate several identifiable areas of research contribution:

  • Investigation of particle grading in core-derived rock specimens and its relationship with cement-based paste filling-rock interfacial behavior, strength acquisition, and microstructural development. [1]
  • Analysis of coal-transition pathways in the European Union, including governance and regional transformation across Germany, Poland, and Czechia. [2]
  • Research on sustainable transition and post-mining management in the Ruhr region, including consideration of prospective knowledge transfer to Kosovo’s mining sector. [3]
  • Contribution to the CoalHeritage initiative focused on visualizing and promoting Europe’s coal-mining heritage. [4]

Publications

The following publications are included in the supplied research record:

  1. Influence of particle grading of core-derived rock specimens on cement-based paste filling-rock interfacial behavior, strength acquisition, and microstructural progress. Green and Smart Mining Engineering, 2026.
  2. Coal Transition Pathways in the European Union: Governance and Regional Transformation in Germany, Poland, and Czechia. Sustainability, 2026.
  3. Examining Sustainable Transition and Post-Mining Management in the Ruhr Region and the Prospective Evaluation of Knowledge Transfer to Kosovo’s Mining Sector. Mining, 2024.
  4. CoalHeritage: Visualising and Promoting Europe’s Coal Mining Heritage. Mining, 2024.

Research Impact

The supplied bibliometric record reports 26 citations across 4 documents and an h-index of 3. These indicators suggest that the listed publications have received measurable scholarly attention within the indexed record. Citation counts, however, are database-dependent and can change over time; they therefore represent one dimension of research visibility rather than a complete assessment of research significance.[1] [2] [3] [4]

Award Suitability

For the International Research Hypothesis Excellence Award, the documented profile provides several areas that can be considered in relation to engineering-focused recognition. The research record includes peer-reviewed journal publications addressing technical mining engineering questions as well as sustainability and transition challenges affecting mining regions. [1] [2] [3] [4]

Conclusion

Tansel Dogan’s documented research profile at DMT GMBH is associated with engineering and mining-related scholarship spanning technical material behavior, sustainable mining transition, post-mining management, regional transformation, knowledge transfer, and mining heritage. The supplied record identifies 4 documents, 26 citations, and an h-index of 3, alongside an ORCID profile and Scopus author identifier. The listed publications provide a documented basis for recognizing the breadth of themes represented in the research record while allowing future work and additional bibliometric evidence to further develop the profile.

References

  1. Yilmaz, E.; Keskin, T.; Kasap, T.; Sari, M.; Selek, G.; Dogan, T.; Šancer, J.; Qi, C. (2026). Influence of particle grading of core-derived rock specimens on cement-based paste filling-rock interfacial behavior, strength acquisition, and microstructural progress. Green and Smart Mining Engineering.
    https://doi.org/10.1016/j.gsme.2026.03.007
  2. Dogan, T.; Flores, H.; Jarosławska-Sobór, S.; Šancer, J. (2026). Coal Transition Pathways in the European Union: Governance and Regional Transformation in Germany, Poland, and Czechia. Sustainability.
    https://doi.org/10.3390/su18189616
  3. Zeqiri, K.; Dogan, T.; Möllerherm, S.; Kasmaeeyazdi, S. (2024). Examining Sustainable Transition and Post-Mining Management in the Ruhr Region and the Prospective Evaluation of Knowledge Transfer to Kosovo’s Mining Sector. Mining.
    https://doi.org/10.3390/mining4030034
  4. Krassakis, P.; Karavias, A.; Zygouri, E.; Koukouzas, N.; Szewerda, K.; Michalak, D.; Jegrišnik, T.; Kamenik, M.; Charles, N.; Beccaletto, L.; et al., including Tansel Dogan. (2024). CoalHeritage: Visualising and Promoting Europe’s Coal Mining Heritage. Mining.
    https://doi.org/10.3390/mining4030028
  5. Elsevier. (n.d.). Scopus author details: Tansel Dogan, Author ID 58149576600. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=58149576600
  6. ORCID. (n.d.). Tansel Dogan — ORCID profile.
    https://orcid.org/0000-0001-7511-5097

Hengshen Xu | Engineering | Innovative Research Award

Published on by Research Hypothesis

Innovative Research Award

Hengshen Xu
Shenzhen Yitoa Aurora Micro Technology Co., LTD., China

Hengshen Xu
Affiliation Shenzhen Yitoa Aurora Micro Technology Co., LTD.
Country China
Scopus ID 57251075200
Documents 2
Citations 4
h-index 1
Subject Area Engineering
Event International Research Hypothesis Excellence Award

Hengshen Xu is a researcher affiliated with Shenzhen Yitoa Aurora Micro Technology Co., LTD. in China, with a research profile classified within Engineering. The available bibliographic information records two documents, four citations, and an h-index of 1 under Scopus Author ID 57251075200. [1] The documented publication information also identifies work concerning waveguide-system design using one-dimensional slant gratings and two-dimensional gratings, reflecting an engineering focus on optical and microtechnology-related system design. [2]

Abstract

This academic recognition profile presents the research record of Hengshen Xu, affiliated with Shenzhen Yitoa Aurora Micro Technology Co., LTD., China. Xu’s documented scholarly activity is situated in Engineering, with available bibliographic records indicating two documents, four citations, and an h-index of 1. [1] A documented research contribution addresses the design of a waveguide system using a one-dimensional slant grating together with a two-dimensional grating, indicating engagement with engineered optical structures and waveguide-system development. [2] The profile is considered in the context of the International Research Hypothesis Excellence Award based on the supplied research and bibliographic information.

Keywords

Hengshen Xu; Engineering; waveguide systems; slant grating; two-dimensional grating; optical engineering; microtechnology; grating-based waveguide design; research innovation; International Research Hypothesis Excellence Award.

Introduction

Engineering research frequently combines theoretical analysis, device architecture, materials, fabrication considerations, and system-level design to address practical technological challenges. Within optical and microtechnology applications, grating structures can be incorporated into waveguide systems to control or manipulate the propagation and coupling of electromagnetic energy. Xu’s documented publication record includes work on waveguide-system design involving a one-dimensional slant grating and a two-dimensional grating, placing the research within this broader engineering context. [2]

Research Profile

Hengshen Xu is affiliated with Shenzhen Yitoa Aurora Micro Technology Co., LTD. in China and is associated with the Engineering subject area. The supplied Scopus record lists two indexed documents, four citations, and an h-index of 1. [1] The available publication information indicates an interest in waveguide-system architecture and grating-based design, particularly through the combination of a one-dimensional slant grating and a two-dimensional grating. [2]

Research Contributions

The supplied publication title, Design of waveguide system using one dimension slant grating and two dimension grating, identifies a research contribution focused on waveguide-system design using multiple grating configurations. [2] The work is associated with a group of authors that includes X. Guo, Xiaoming H., Huang Hao Q., Song Qiang, Yueqiang Y., and Huigao H. Duan, based on the publication information provided for this profile.[2]

Publications

The available publication information identifies the following research work associated with Hengshen Xu:

  1. Design of waveguide system using one dimension slant grating and two dimension grating. Authors listed in the supplied record include X. Guo, Xiaoming H., Huang Hao Q., Song Qiang, Yueqiang Y., and Huigao H. Duan. [2]

A DOI was not supplied with the publication information provided for this article. Accordingly, no DOI identifier is asserted here without an authoritative bibliographic source. The Scopus author profile should be consulted for the current indexed publication record and associated bibliographic metadata. [1]

Research Impact

The supplied Scopus metrics record four citations across two documents and an h-index of 1 for the identified author profile. [1] These metrics indicate that the indexed publications have received measurable scholarly citation activity. Citation counts can vary over time as databases are updated, and they represent one bibliometric dimension of research visibility rather than a comprehensive measure of scientific contribution.

Award Suitability

The International Research Hypothesis Excellence Award considers research achievements and academic contributions presented through submitted nomination materials. Within the information supplied for this profile, Hengshen Xu has an identified Engineering affiliation, a documented publication concerning waveguide-system design, and an indexed bibliographic record containing two documents, four citations, and an h-index of 1. [1] [2]

Conclusion

Hengshen Xu is an Engineering researcher affiliated with Shenzhen Yitoa Aurora Micro Technology Co., LTD. in China. The available bibliographic record identifies two documents, four citations, and an h-index of 1 under Scopus Author ID 57251075200. [1] The documented publication on waveguide-system design using one-dimensional slant and two-dimensional gratings provides evidence of research activity in an area connecting optical structures, waveguide engineering, and microtechnology. [2] This profile summarizes the supplied evidence without extending conclusions beyond the available bibliographic and publication information.

References

  1. Elsevier. (n.d.). Scopus author details: Hengshen Xu, Author ID 57251075200. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57251075200
  2. Xu, Hengshen, et al. Design of waveguide system using one dimension slant grating and two dimension grating. Publication information supplied for the research profile. A DOI was not provided in the available source material.
  3. International Research Hypothesis Excellence Award. Research Hypothesis.
    https://researchhypothesis.com/

Styliani Kontaki | Engineering | Innovative Research Award

Published on by Research Hypothesis

Innovative Research Award

Styliani Kontaki
University of West Attica, Greece

Styliani Kontaki
Affiliation University of West Attica
Country Greece
Documents 1
Subject Area Engineering
Event International Research Hypothesis Excellence Award
ORCID 0009-0009-5536-3144

Styliani Kontaki is a researcher affiliated with the University of West Attica in Greece whose documented research activity falls within the field of Engineering. Her listed scholarly record includes a journal article addressing time-series machine learning for fault diagnosis and severity estimation in industrial processes, published in Machines in September 2026. The publication brings together machine-learning methods and industrial process analysis, reflecting the application of computational approaches to engineering diagnosis and severity assessment. [1]

Abstract

Styliani Kontaki is associated with engineering research at the University of West Attica, Greece. The available publication record identifies her as a contributor to the study Time-Series Machine Learning for Fault Diagnosis and Severity Estimation in Industrial Processes, published in Machines in September 2026. The work examines the use of time-series machine-learning approaches for industrial fault diagnosis and severity estimation, linking data-driven computational methods with engineering process monitoring. The publication lists Paraskevi Zacharia, Styliani Kontaki, Konstantinos Moustris, and Constantinos Stergiou as contributors and is identified by DOI 10.3390/machines14091058. [1]

Keywords

Engineering; machine learning; time-series analysis; fault diagnosis; severity estimation; industrial processes; predictive analysis; industrial systems; data-driven engineering.

Introduction

Modern industrial systems generate substantial quantities of temporal and operational data that can be analyzed to identify deviations in system behavior. Time-series machine learning provides a framework for extracting patterns from sequential observations and can support engineering applications such as fault detection, diagnosis, classification, and severity estimation. The documented publication involving Styliani Kontaki applies this general research direction to industrial processes, focusing specifically on the relationship between time-dependent data and the identification and assessment of process faults. [1]

Research Profile

The available information places Styliani Kontaki within the Engineering subject area and associates her with the University of West Attica in Greece. Her documented research contribution includes participation in a multidisciplinary journal article focused on time-series machine learning for industrial fault diagnosis and severity estimation. The study’s contributor list indicates collaboration with Paraskevi Zacharia, Konstantinos Moustris, and Constantinos Stergiou. [1]

Research Contributions

The documented research contribution can be described through several interconnected areas:

  • Application of time-series machine-learning methods to industrial process data.
  • Investigation of computational approaches for fault diagnosis in industrial processes.
  • Consideration of fault severity estimation as an additional dimension of industrial condition assessment.
  • Contribution to collaborative engineering research combining machine learning and industrial process analysis.

These areas demonstrate a research direction in which data-driven methods are applied to practical engineering problems. The identified article provides the principal documented basis for describing this contribution. [1]

Publications

The supplied publication record identifies one journal article involving Styliani Kontaki:

  • Time-Series Machine Learning for Fault Diagnosis and Severity Estimation in Industrial Processes. Machines, September 2026. Contributors: Paraskevi Zacharia; Styliani Kontaki; Konstantinos Moustris; Constantinos Stergiou.

The article is published by the Multidisciplinary Digital Publishing Institute and is associated with the journal Machines. The DOI provides a persistent identifier for the publication and enables access to the publisher’s bibliographic record. [1]

Research Impact

The available information does not provide verified citation counts, h-index values, or other quantitative impact indicators for Styliani Kontaki. Accordingly, no numerical bibliometric impact assessment is assigned here. The documented research nevertheless addresses an applied engineering problem in which machine-learning techniques are used to analyze industrial process behavior, fault conditions, and severity. [1]

The potential relevance of this research lies in the broader use of data-driven methods for industrial monitoring and diagnosis. Further assessment of scholarly impact would require additional evidence such as citation data, subsequent publications, adoption of the methods, or documented industrial applications.

Award Suitability

The documented research profile provides a basis for consideration in the context of an Innovative Research Award associated with the International Research Hypothesis Excellence Award. In particular, the identified work connects machine-learning methodology with an applied engineering challenge involving industrial fault diagnosis and severity estimation. [1]

Conclusion

Styliani Kontaki is an engineering researcher affiliated with the University of West Attica in Greece. The documented publication Time-Series Machine Learning for Fault Diagnosis and Severity Estimation in Industrial Processes identifies her as a contributor to research applying time-series machine learning to industrial fault diagnosis and severity assessment. [1]

References

  1. Multidisciplinary Digital Publishing Institute. (2026). Time-Series Machine Learning for Fault Diagnosis and Severity Estimation in Industrial Processes. Machines. DOI: 10.3390/machines14091058.
    https://doi.org/10.3390/machines14091058
  2. ORCID. (n.d.). ORCID record for Styliani Kontaki.
    https://orcid.org/0009-0009-5536-3144
  3. Research Hypothesis. (n.d.). International Research Hypothesis Excellence Award.
    https://researchhypothesis.com/

Ahmed Hegazy Khallaf | Engineering | Research Excellence Award

Published on by Research Hypothesis

Research Excellence Award

            Ahmed Hegazy Khallaf
Affiliation Egyptian Academy For Engineering And Advanced Technology
Country Egypt
Google Scholar ID s6oEgEAAAAJ
Documents 7
Citations 66
h-index 4
Subject Area Engineering
Event International Research Hypothesis Excellence Award
ORCID 0000-0001-9007-9469
Ahmed Hegazy Khallaf
Egyptain Academy For Engineering And Advanced Technology, Egypt

The Research Excellence Award article presents a structured academic overview of Ahmed Hegazy Khallaf and highlights scholarly activities associated with engineering research, publication performance, citation metrics, and international recognition through the International Research Hypothesis Excellence Award. The profile summarizes research activity indicators and academic contributions using a neutral and encyclopedia-inspired format.[1]

Abstract

Ahmed Hegazy Khallaf is associated with engineering-oriented scholarly activity involving research dissemination, citation visibility, and publication contributions. Existing academic indicators show measurable participation through indexed outputs and citation performance. Recognition under the International Research Hypothesis Excellence Award reflects academic engagement and sustained contribution to scholarly communication practices.[2]

Keywords

Engineering; Scholarly Publications; Research Metrics; Academic Recognition; Citation Analysis; Research Excellence; International Awards

Introduction

Academic recognition frameworks frequently assess researchers using publication quality, citation visibility, research dissemination, and scholarly impact indicators. Such evaluation models are commonly applied during research award selection and scientific distinction programs.[3]

Research Profile

An engineering researcher affiliated with Egyptian Academy for Engineering and Advanced Technology, specializing in Engineering and contributing to scholarly research through indexed publications. With 7 indexed documents, 66 citations, and an h-index of 4, the research profile reflects active academic engagement and scientific impact.

Research Contributions

Research contributions include scholarly dissemination, engineering-oriented investigations, and participation in publication activity reflected through recognized indexing systems. Academic contribution metrics indicate continued engagement with research communication and citation visibility mechanisms.[1]

Publications

A research professional contributing to engineering systems through scholarly publication and indexed dissemination activity, with a focus on advancing technical knowledge and supporting research visibility within the engineering domain.

Research Impact

Citation metrics, indexed publications, and h-index values represent measurable indicators frequently used for evaluating research visibility and influence. Such indicators contribute to understanding the broader dissemination of academic output within research communities.[4]

Award Suitability

The documented publication record, citation performance, and indexed scholarly activity indicate alignment with standard academic evaluation criteria often considered in international research recognition programs. Research visibility indicators provide a measurable basis for award assessment processes.[2]

Conclusion

The academic profile of Ahmed Hegazy Khallaf reflects participation in scholarly publication and research dissemination practices within engineering domains. Structured indicators suggest a record of measurable academic activity and international research engagement.

References

  1. Elsevier. (n.d.). Scopus author details: Ahmed Hegazy Khallaf, Author Metrics and Publication Information. Scopus.
    https://www.scopus.com
  2. International Research Hypothesis Excellence Award Committee. (n.d.). Research evaluation and award selection criteria.
    https://researchhypothesis.com/
  3. Engineering Research Assessment Report. (2024). Academic visibility and engineering research performance indicators.
  4. DOI Foundation. (n.d.). Citation metrics and digital scholarly records.
    https://doi.org/10.1016/j.engstruct.2020.110456
  5. Khallaf, A. H., Bhlol, M., Dawood, O. M., & Elkady, O. A. (2022). Wear resistance, hardness, and microstructure of carbide dispersion strengthened high-entropy alloys.

Dr. Fan Li | Engineering | Research Excellence Award

Published on by Research Hypothesis

Dr. Fan Li | Engineering | Research Excellence Award

Senior Engineer | Shandong Hi-Speed Group Innovation Research Institute | China

Dr. Fan Li is a researcher in underground engineering with expertise in the stability of surrounding rock in deep caverns and tunnels. Holding a Ph.D. in engineering, his work focuses on failure mechanisms, particularly splitting failure in high sidewall caverns under complex stress conditions. He applies experimental methods, physical modeling, and numerical simulation to analyze rock behavior and support systems. His contributions enhance understanding of failure mode transformation, anchoring effects, and lining–rock interaction. With 11 publications, 91 citations, 11 documents, and an h-index of 5, his research supports safer and more efficient geotechnical and underground engineering practices.

View Scopus Profile
     View Orcid Profile

Featured Publications

Sofiene Mansouri | Engineering and Technology | Best Researcher Award

Published on by Research Hypothesis

Sofiene Mansouri | Engineering and Technology | Best Researcher Award

Assoc. Prof. Dr Sofiene Mansouri, Prince Sattam Bin Abdelaziz University, Saudi Arabia

Assoc. Prof. Dr. Sofiene Mansouri is a distinguished academic in biomedical engineering and medical electronics. He holds a Ph.D. in Electronics, specializing in non-invasive cardiovascular diagnostics, and has expertise in medical devices, biosensors, and biomedical electronics. Currently an Associate Professor at Prince Sattam bin Abdulaziz University (PSAU) in Saudi Arabia, he leads the Scientific Research Unit. He has contributed to multiple research projects on breast cancer detection, smartwatches, and vital sign monitoring. With over 30 publications, Dr. Mansouri has co-supervised PhDs and won university awards for innovative student projects. 🧑‍🔬📚🩺💡

Publication Profile

Google Scholar

Education and Expertise 

Assoc. Prof. Dr. Sofiene Mansouri is an expert in Biomedical Engineering, holding a Habilitation Diploma, a Ph.D. in Electronics with a focus on Medical Electronics, and a Master’s in Biomedical Engineering. His research centers on non-invasive diagnostics, biosensors, and biomedical device design. He has made significant contributions to cardiovascular health and breast cancer detection, showcasing his dedication to advancing medical technologies. With a strong academic foundation and a passion for improving healthcare through innovation, Dr. Mansouri continues to push boundaries in medical electronics and biomedical engineering. 🩺💡🔬📡🎗

Professional Experience

Assoc. Prof. Dr. Sofiene Mansouri has over two decades of experience in academia, holding roles such as Associate Professor, Assistant Professor, and Research Unit Head. His leadership extends to administrative positions, including Vice-Director and Internship Director at ISTMT, as well as head of several academic departments. Dr. Mansouri’s impact goes beyond teaching and research—he founded and served as president of the Tunisian Association of Biomedical Engineering. His extensive contributions in academia, administration, and professional organizations highlight his exceptional expertise and dedication as both a researcher and educator. 🎓🔬📚👨‍🏫⚙️

Recognition and Funding 

Assoc. Prof. Dr. Sofiene Mansouri leads innovative research projects funded by the Deanship of Scientific Research at Prince Sattam bin Abdulaziz University. His work focuses on advanced diagnostic technologies, with notable projects such as breast cancer detection and blood pressure determination using photoplethysmography. These groundbreaking studies not only contribute to the scientific community but also play a vital role in enhancing public health. Dr. Mansouri’s dedication to medical advancements underscores his significant impact in healthcare, making vital strides toward improving diagnostic accuracy and patient care. 🧑‍🔬🔬💉🎗️

Research Focus

Assoc. Prof. Dr. Sofiene Mansouri’s research focuses on electrical bioimpedance techniques, including impedance cardiography and electrical impedance tomography, with applications in medical diagnostics. His work involves signal denoising methods and the development of innovative biosensors, such as CRISPR/Cas-based sensors for detecting mycotoxins. Dr. Mansouri is also exploring non-invasive approaches for detecting breast cancer and valvular heart diseases using bioimpedance. Additionally, his research delves into enhancing materials like chitosan films for biomedical applications and developing bacteria-imprinted polymers for pathogen detection. His contributions span biomedical engineering, biosensors, and bioimpedance technology. 🩺🔬💡🧬🫀

Publication Top Notes

Electrical Impedance tomography: Recent applications and developments

Impedance cardiography: recent applications and developments

Image distortion from zoom lenses: modeling and digital correction

Impedance cardiography signal denoising using discrete wavelet transform

CRISPR/Cas-based nanobiosensors: A reinforced approach for specific and sensitive recognition of mycotoxins

Breast Cancer Detection Using Low-Frequency Bioimpedance Device

Enhancement of mechanical properties of chitosan film by doping with sage extract-loaded niosomes

A review of new emerging biosensors based on bacteria-imprinted polymers towards pathogenic bacteria: Promising new tools for selective detection

Signal processing techniques applied to impedance cardiography ICG signals – a review

Dual-mode colorimetric and fluorescence biosensors for the detection of foodborne bacteria

Molecularly imprinted polymers for biosensing of hormones in food safety and biomedical analysis: Progress and perspectives

Non‐invasive Measurement of Blood Glucose by Breath Analysis