You are welcome to meet Dr. Christian Ebere Enyoh, MCSN, MCSJ, MYESS, MPAMPN, MIYCN

Dr. Christian Ebere ENYOH is a Research fellow on development of novel materials from Microplastics and Nanoplastics at Graduate School of Science and Engineering, Saitama University, Japan under the Japanese Society for the Promotion of Science (JSPS).

I graduated in September 2024 with a PhD in Environmental Science and Engineering, focused on plastics and waste research upcyling using a bottom-up approach. I’m currently a postdoctoral research fellow at Saitama University, Japan.

Current projects || Activities || Achievements

CURRENT PROJECTS

Carbon Quantum Dots (CQDs) synthesized from plastic wastes

Carbon Quantum Dots (CQDs) under UV lights

CQDs tested for environmental sensing of Pd(II) and drugs such as Flouxetine (FLX, an antidepressant) and ciprofloxacin (CIP, a common antibiotic) based on flourescence principles.

CQDs optimized for the removal/adsorption of FLX and CIP in water and the ADMETs properties of the CQDs evaluated.

UPCOMING AND RECENT ACTIVITIES

RECEIVING MY DOCTORAL DEGREE AT SAITAMA UNIVERSITY.

MY Ph.D. Research was titled: Advanced Characterization, Machine Learning and Optimization of Waste Polyethylene Terephthalate Microplastics for the Removal of Emerging Pollutants from Wastewater in Single and Multicomponent Systems

(単一/多成分系の排水における廃PETマイクロプラスチック汚染物質除去の先端的な特性評価､機械学習と最適化)

Speaker at 104th Chemical Society of Japan (CSJ) Annual meeting

AuthorAID Environmental Biology, Chemistry and Toxicology Journal Club

on Febuary 23rd, 2024. The presentation is available on youtube. Please click here

keynote address at the 3rd Andean Congress of Engineering, Construction, Technology in Innovation (CAICTI).

Feburary 6-8, 2024 at Universidad Nacional De Chimborazo, Ecuador

"SADNESS UNVEILED: A POSITIVE PERSPECTIVE" BOOK RELEASE

5TH SEPETEMBER 2023

PURCHASE ON AMAZON

SADNESS IS NOT A BAD THING.

Invited guest speaker on "Impact of Plastic Waste Decay in Form of Microplastics on Water Quality in Industrial Sanitation"

Environmental Health International Seminar 2023, to be held at the Health Polytechnic of Yogyakarta, Indonesia. August 27th, 2023

Speaker at GSCWED23 on "Machine Learning in Micro(Nano)plastics Control and Ecotoxicology"

5 June, 2023 at Saitama, Japan

Invited speaker at ICHS, 2022 on "Technology for Screening Microplastics in the Environment"

26-October, 2022 at Yogyakarta, Indonesia

COMPLETED PROJECTS

Evaluation of nanoplastics toxicity to the human placenta in systems

Following the discovery of plastics in the human placenta, this study evaluated the toxicity of ten different nanoplastics (NPs) in the human placenta. Since the placenta performs metabolic and excretion functions by the enzymatic system, the NPs ...

Automated Classification of Undegraded and Aged Polyethylene Terephthalate Microplastics from ATR-FTIR Spectroscopy using Machine Learning Algorithms - Journal of Polymers and the EnvironmentAutomated analysis of microplastics is essential due to the labor-intensive, time-consuming, and error-prone nature of manual methods. Attenuated Total Reflectance Fourier Transform Infrared (ATR-FTIR) spectroscopy offers valuable molecular information about microplastic composition. However, efficient data analysis tools are required to effectively differentiate between various types of microplastics due to the large volume of spectral data generated by ATR-FTIR. In this study, we propose a machine learning (ML) approach utilizing ATR-FTIR spectroscopy data for accurate and efficient classification of undegraded and aged polyethylene terephthalate (PET) microplastics (MPs). We evaluate seven ML algorithms, including Random Forest (RF), Gradient Boosting (GB), Decision Tree (DT), k-Nearest Neighbors (k-NN), Logistic Regression (LR), Support Vector Machine (SVM), and Multi-Layer Perceptron (MLP), to assess their performance. The models were optimized using fivefold cross-validation and evaluated using multiple metrics such as confusion matrix, accuracy, precision, recall (sensitivity), and F1-score. The experimental results demonstrate exceptional performance by RF, GB, DT, and k-NN models, achieving an accuracy of 99% in correctly classifying undegraded and aged PET MPs. The proposed approach capitalizes on the potential of ATR-FTIR spectra to discern distinct chemical signatures of undegraded and aged PET particles, enabling precise and reliable classification. Furthermore, the method offers the benefit of automating the classification process, streamlining the analysis of environmental samples. It also presents the advantage of providing an effective means for method standardization, facilitating more automated and optimized extraction of information from spectral data. The method’s versatility and potential for large-scale application make it a valuable contribution to the field of MP environmental research.

RECENT ACHEIVEMENT

American Chemical Society publication appreciations for serving as a peer reviewer for ACS Publications.
Developed AI/ML algorithm for automated classification of PET MPs under different state or conditions.
Keynote address at the III Andean Congress of Engineering, Construction, Technology and Innovation in Ecuador.
Participated in American Chemical Society (ACS) Publications Summit: Global Trends in Materials and Nanotechnology.
Gave 2023 research year end report.
https://doi.org/10.3390/toxics11110921.
Thermal degradation evaluation of polyethylene terephthalate microplastics: insights from kinetics and machine learning algorithms using non-isoconversional TGA data
Expression of allergenic protein and polycyclic aromatic hydrocarbons in the Platanus pollen grains collected from different area of Shanghai.
Physicochemical characterization and oxidative potential of iron-containing particles emitted from Xuanwei coal combustion,
https://doi.org/10.3390/toxics11110921.
The Plastic Within: Microplastics Invading Human Organs and Bodily Fluids Systems
https://doi.org/10.3390/environments10110194.
Examining the Impact of Nanoplastics and PFAS Exposure on Immune Functions through Inhibition of Secretory Immunoglobin A in Human Breast Milk Examining the Impact of Nanoplastics and PFAS Exposure on Immune Functions through Inhibition of Secretory Immunoglobin A in Human Breast Milk

https://doi.org/10.1016/j.jhazmat.2023.132103

Distribution, Potential Sources, and Health Risk of Microplastics (MPs) in Street Dust during and after COVID-19 Lockdown in Bangladesh

https://doi.org/10.3390/environments10070130

Comparison of the heterogeneous reaction of NO2 on the surface of clay minerals and desert dust particles

https://doi.org/10.1016/j.envpol.2023.122134

Adsorption and toxicity characteristics of ciprofloxacin on differently prepared polyethylene terephthalate microplastics from both experimental and theoretical perspectives

https://doi.org/10.1016/j.jwpe.2023.103909

Optimizing the Efficient Removal of Ciprofloxacin from Aqueous Solutions by Polyethylene Terephthalate Microplastics using Multivariate Statistical Approach

https://doi.org/10.1016/j.ces.2023.118917

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