Pub Date : 2023-03-01DOI: 10.12974/2311-8792.2023.09.1
Prarthana U. Dhanvijay
In order to keep with ever evolving technology in biomedical field, the demand for Poly (ε-caprolactone) (PCL) is gaining importance due to its biodegradability and biocompatibility. However, the low mechanical, barrier and thermal strength of PCL restricts its widespread use. These drawbacks of virgin PCL can be rectified by incorporating nanofiller into the PCL matrix. Till date, research has been carried out incorporating nano-fiber into PCL but to the best of our knowledge there is hardly any literature regarding organoclay modified nanofiller-PCL composites. The present study represents PCL nanocomposites preparation and characterization. The FTIR and XRD spectra observe uniform distribution of nanofiller in the PCL matrix. The characterization of mechanical properties shows enhancement in strength till 3.5 wt% loading and declining trend afterwards indicating agglomeration of nanofiller at higher wt% ratio. The increase in tensile strength without sacrificing elongation at break provides these composites with very attractive mechanical properties.
{"title":"Mechanical Characterization Study of Additive as Nanofiller in Poly (ε-Caprolactone) Nanocomposite","authors":"Prarthana U. Dhanvijay","doi":"10.12974/2311-8792.2023.09.1","DOIUrl":"https://doi.org/10.12974/2311-8792.2023.09.1","url":null,"abstract":"In order to keep with ever evolving technology in biomedical field, the demand for Poly (ε-caprolactone) (PCL) is gaining importance due to its biodegradability and biocompatibility. However, the low mechanical, barrier and thermal strength of PCL restricts its widespread use. These drawbacks of virgin PCL can be rectified by incorporating nanofiller into the PCL matrix. Till date, research has been carried out incorporating nano-fiber into PCL but to the best of our knowledge there is hardly any literature regarding organoclay modified nanofiller-PCL composites. The present study represents PCL nanocomposites preparation and characterization. The FTIR and XRD spectra observe uniform distribution of nanofiller in the PCL matrix. The characterization of mechanical properties shows enhancement in strength till 3.5 wt% loading and declining trend afterwards indicating agglomeration of nanofiller at higher wt% ratio. The increase in tensile strength without sacrificing elongation at break provides these composites with very attractive mechanical properties.","PeriodicalId":198717,"journal":{"name":"Journal of Nanotechnology in Diagnosis and Treatment","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131845301","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-24DOI: 10.12974/2311-8792.2023.09.2
Sizam A. M. Mahgoub, M. Karahan, Hind A. M. Elsanosi, Malaz S. A. Bader, Sitana H. O. Mohamed, Hasabo Abdelbagi Mohamed Ahmed, A. Ari
This research aimed at preparing silver nanoparticles using the Novel chemical method, obtained as a black precipitate silver NPs. The sample was examined by using digital spectrometer device to find a degree of absorbency and its wavelength and particle by mathematical equation. Microbiology tests were carried out to determine the effectiveness of the sample in killing bacteria using the dilution method. After dissolving Silver NP`S in 5% acetic acid concentration, and covering the cotton balls with a solution of silver NPs to test the effectiveness of the sample using Two different concentrations of (0.5ml/g), and (0.25ml/g) and using two types of bacteria which causes skin blisters staphylococcus and streptococcus it is found that more concentration of the silver NPs solution has increased of killing both types of bacteria by staphylococcus (100%) and streptococcus (75%).
{"title":"Synthesis of Silver Nanoparticles Using Novel Chemical Solution Method as Antibacterial Applied on Cosmetic Cotton Balls","authors":"Sizam A. M. Mahgoub, M. Karahan, Hind A. M. Elsanosi, Malaz S. A. Bader, Sitana H. O. Mohamed, Hasabo Abdelbagi Mohamed Ahmed, A. Ari","doi":"10.12974/2311-8792.2023.09.2","DOIUrl":"https://doi.org/10.12974/2311-8792.2023.09.2","url":null,"abstract":"This research aimed at preparing silver nanoparticles using the Novel chemical method, obtained as a black precipitate silver NPs. The sample was examined by using digital spectrometer device to find a degree of absorbency and its wavelength and particle by mathematical equation. Microbiology tests were carried out to determine the effectiveness of the sample in killing bacteria using the dilution method. After dissolving Silver NP`S in 5% acetic acid concentration, and covering the cotton balls with a solution of silver NPs to test the effectiveness of the sample using Two different concentrations of (0.5ml/g), and (0.25ml/g) and using two types of bacteria which causes skin blisters staphylococcus and streptococcus it is found that more concentration of the silver NPs solution has increased of killing both types of bacteria by staphylococcus (100%) and streptococcus (75%).","PeriodicalId":198717,"journal":{"name":"Journal of Nanotechnology in Diagnosis and Treatment","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115828113","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-12DOI: 10.12974/2311-8792.2022.08.03
M. T. Mustapha, D. Flower, A. Chattopadhyay
Kinases are phosphate catalysing enzymes that have traditionally proved difficult to target against ligands,and hence inefficacious in drug development. There are two colluding reasons for this. First is the issue of specificity. The homogeneity that exists between the kinase ATP-binding pockets makes it a non-realisable target to developcompounds that would inhibit only one out of 538 protein kinases encoded by the human genome, without inhibitingsome of the others. Second, producing compounds with the required efficacy to rival the millimolar ATP concentrations present in cells is stoichiometrically inefficient. This study uses a recently propounded computational strategy based onStructure Based Virtual Screening (SBVS) that was previously benchmarked on 999 DUD-E protein decoys(Chattopadhyay et al, Int Sc. Comp. Life Sciences 2022), to rank potential ligands, or by extension rank kinase-ligand pairs, identifying best matching ligand:kinase docking pairs. The results of the SBVS campaign employing severalcomputational algorithms reveal variations in the preferred top hits. To address this, we introduce a novel consensusscoring algorithm by sampling statistics across four independent statistical universality classes, statistically combining docking scores from ten docking programs (DOCK, Quick Vina-W, Vina Carb, PLANTS, Autodock, QuickVina2,QuickVina21, Smina, Autodock Vina and VinaXB) to create a holistic SBVS formulation that can identify active ligandsfor any target. Our results demonstrate that CS provides improved ligand:kinase docking fidelity when compared to individual docking platforms, requiring only a small number of docking combinations, and can serve as a viable andthrifty alternative to expensive docking platforms.
{"title":"Virtual Screening of Kinase Based Drugs: Statistical Learning Towards Drug Repositioning","authors":"M. T. Mustapha, D. Flower, A. Chattopadhyay","doi":"10.12974/2311-8792.2022.08.03","DOIUrl":"https://doi.org/10.12974/2311-8792.2022.08.03","url":null,"abstract":"Kinases are phosphate catalysing enzymes that have traditionally proved difficult to target against ligands,and hence inefficacious in drug development. There are two colluding reasons for this. First is the issue of specificity. The homogeneity that exists between the kinase ATP-binding pockets makes it a non-realisable target to developcompounds that would inhibit only one out of 538 protein kinases encoded by the human genome, without inhibitingsome of the others. Second, producing compounds with the required efficacy to rival the millimolar ATP concentrations present in cells is stoichiometrically inefficient. This study uses a recently propounded computational strategy based onStructure Based Virtual Screening (SBVS) that was previously benchmarked on 999 DUD-E protein decoys(Chattopadhyay et al, Int Sc. Comp. Life Sciences 2022), to rank potential ligands, or by extension rank kinase-ligand pairs, identifying best matching ligand:kinase docking pairs. The results of the SBVS campaign employing severalcomputational algorithms reveal variations in the preferred top hits. To address this, we introduce a novel consensusscoring algorithm by sampling statistics across four independent statistical universality classes, statistically combining docking scores from ten docking programs (DOCK, Quick Vina-W, Vina Carb, PLANTS, Autodock, QuickVina2,QuickVina21, Smina, Autodock Vina and VinaXB) to create a holistic SBVS formulation that can identify active ligandsfor any target. Our results demonstrate that CS provides improved ligand:kinase docking fidelity when compared to individual docking platforms, requiring only a small number of docking combinations, and can serve as a viable andthrifty alternative to expensive docking platforms.","PeriodicalId":198717,"journal":{"name":"Journal of Nanotechnology in Diagnosis and Treatment","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131344085","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-24DOI: 10.12974/2311-8792.2022.08.1
M. Karahan, Nevin Karahan
CNT/CNF grafting at high amount causes a CNT forest around the fiber and this causes significant limitations in composite material production. Due to increased distance between the fibers, local fiber volume fraction decreases within the yarns. Fiber volume fraction was found to decrease by 2.7–6.2% according to CNT/CNF ratio. The results revealed that there were significant decreases in mechanical properties and characteristic strain values where damage initiation and progression of the composite samples produced from carbon nanotubes grown on fabrics. It was found that Young’s modulus values decreased by 15–17%. Characteristic strain values where damage threshold decreased by 36–53%. It was concluded that decreased local fiber volume fraction and low fiber-matrix interface bonding were the main cause for this situation. Moreover, it is believed that the one of the most important factor that might cause these limitations is lack of adequate wetting of fiber surfaces and low fiber-matrix interface bonding.
{"title":"Investigation of Damage Properties of Woven Carbon-Epoxy Composites Modified with CNT Fillers","authors":"M. Karahan, Nevin Karahan","doi":"10.12974/2311-8792.2022.08.1","DOIUrl":"https://doi.org/10.12974/2311-8792.2022.08.1","url":null,"abstract":"CNT/CNF grafting at high amount causes a CNT forest around the fiber and this causes significant limitations in composite material production. Due to increased distance between the fibers, local fiber volume fraction decreases within the yarns. Fiber volume fraction was found to decrease by 2.7–6.2% according to CNT/CNF ratio. The results revealed that there were significant decreases in mechanical properties and characteristic strain values where damage initiation and progression of the composite samples produced from carbon nanotubes grown on fabrics. It was found that Young’s modulus values decreased by 15–17%. Characteristic strain values where damage threshold decreased by 36–53%. It was concluded that decreased local fiber volume fraction and low fiber-matrix interface bonding were the main cause for this situation. Moreover, it is believed that the one of the most important factor that might cause these limitations is lack of adequate wetting of fiber surfaces and low fiber-matrix interface bonding.","PeriodicalId":198717,"journal":{"name":"Journal of Nanotechnology in Diagnosis and Treatment","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130696574","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-15DOI: 10.12974/2311-8792.2022.08.2
S. Chattopadhyay, Rupam Das
Biomedical applications are gaining popularity in decoding human emotion. Anger causes sympathetic overdrive and is a normal emotion, which is either expressed or kept suppressed. Suppressed anger (SA) is a major health issue often causing serious cardiometabolic and mental diseases due to cardiac autonomic neuropathy (CAN), where the sympathovagal homeostasis is compromised to compensate for it. Lyfas is a smartphone-based biomedical application that captures CAN through short (120 sec) heart rate variability (HRV) and its associated cardiovascular optical biomarkers (COBs). This paper attempts to diagnose SA with the help of Lyfas COBs and a few important physical parameters in a cohort of Indian perimenopausal women (N=415; case 205 and control 210), who suffer from mood dysregulation due to the depletion of natural estradiol (E2) in the brain. The clinical Anger Scale (CAS), a gold-standard anger assessment tool is taken into consideration as a reference scale. The strength of correlations of each COB and physical parameter with CAS and its reliability is calculated using Spearman’s correlation and Bland-Altman’s reliability assessment, respectively. The paper concludes that COBs such as SDNN, RMSSD, and LF/HF along with physical parameters (BMI) are hallmark biomarkers for SA phenotypes with 71% of accuracy, 74% of j-statistics, as well as 92% of precision. Early diagnosis of SA with Lyfas would facilitate early treatment, and thereby improve the quality of life.
{"title":"Towards Phenotyping Suppressed Anger in Perimenopausal Women with Lyfas Biomedical Application: A Comprehensive Diagnostic Reliability Study","authors":"S. Chattopadhyay, Rupam Das","doi":"10.12974/2311-8792.2022.08.2","DOIUrl":"https://doi.org/10.12974/2311-8792.2022.08.2","url":null,"abstract":"Biomedical applications are gaining popularity in decoding human emotion. Anger causes sympathetic overdrive and is a normal emotion, which is either expressed or kept suppressed. Suppressed anger (SA) is a major health issue often causing serious cardiometabolic and mental diseases due to cardiac autonomic neuropathy (CAN), where the sympathovagal homeostasis is compromised to compensate for it. Lyfas is a smartphone-based biomedical application that captures CAN through short (120 sec) heart rate variability (HRV) and its associated cardiovascular optical biomarkers (COBs). This paper attempts to diagnose SA with the help of Lyfas COBs and a few important physical parameters in a cohort of Indian perimenopausal women (N=415; case 205 and control 210), who suffer from mood dysregulation due to the depletion of natural estradiol (E2) in the brain. The clinical Anger Scale (CAS), a gold-standard anger assessment tool is taken into consideration as a reference scale. The strength of correlations of each COB and physical parameter with CAS and its reliability is calculated using Spearman’s correlation and Bland-Altman’s reliability assessment, respectively. The paper concludes that COBs such as SDNN, RMSSD, and LF/HF along with physical parameters (BMI) are hallmark biomarkers for SA phenotypes with 71% of accuracy, 74% of j-statistics, as well as 92% of precision. Early diagnosis of SA with Lyfas would facilitate early treatment, and thereby improve the quality of life.","PeriodicalId":198717,"journal":{"name":"Journal of Nanotechnology in Diagnosis and Treatment","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126062477","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-31DOI: 10.12974/2311-8792.2021.07.3
Rupam Das, S. Chattopadhyay
Duchene Muscular Dystrophy (DMD) is a progressive neuromuscular disorder affecting male children of a career mother, as seen in more than 70% of cases. It is an X-linked recessive disease that affects 1 in 3600-6000 live male births. As the child grows, muscles are progressively wasted and degenerated in the body. As time passes, it also involves intercostal and heart muscles leading to cardiorespiratory failure and death. Using a smartphone-based application namely, Lyfas that uses the principles of the optical sensor, arterial photoplethysmography, and photochromatography, this report focuses on capturing digital cardiovascular biomarkers at the backdrop of DMD and understanding the physiological aspect of the disorder and its progression, especially the risk of the involvement of cardiac muscles.
{"title":"Towards Cardiac Risk Monitoring of Duchene Muscular Dystrophy using Lyfas","authors":"Rupam Das, S. Chattopadhyay","doi":"10.12974/2311-8792.2021.07.3","DOIUrl":"https://doi.org/10.12974/2311-8792.2021.07.3","url":null,"abstract":"Duchene Muscular Dystrophy (DMD) is a progressive neuromuscular disorder affecting male children of a career mother, as seen in more than 70% of cases. It is an X-linked recessive disease that affects 1 in 3600-6000 live male births. As the child grows, muscles are progressively wasted and degenerated in the body. As time passes, it also involves intercostal and heart muscles leading to cardiorespiratory failure and death. Using a smartphone-based application namely, Lyfas that uses the principles of the optical sensor, arterial photoplethysmography, and photochromatography, this report focuses on capturing digital cardiovascular biomarkers at the backdrop of DMD and understanding the physiological aspect of the disorder and its progression, especially the risk of the involvement of cardiac muscles.","PeriodicalId":198717,"journal":{"name":"Journal of Nanotechnology in Diagnosis and Treatment","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131156360","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-31DOI: 10.12974/2311-8792.2021.07.4
Sanziana Anghel, M. A. Mahmood, C. Matei, A. Visan
An analysis of the current landscape of therapeutics and delivery methods was conducted, aiming the field of drug delivery systems. Drug delivery biodistribution characteristics should be systematically understood, in order to maximize the function of these delivery systems. As a result, this review covers a history of the drug delivery systems, as well as the basic terminology associated with them, with a focus on the usage of polymers in the drug administration systems (particularly in form of coatings) and their application. New trends in nanomaterials-based drug delivery systems, primarily for cancer treatment, were presented, involving a technology designed to maximize therapeutic efficacy of drugs by controlling their biodistribution profile. There is a justified need to investigate drug delivery systems in form of thin films because, in comparation to bulk drug delivery system, which have a long and comprehensive history, there is still insufficient and fragmented understanding about the delivery of thin polymeric films, with research limited in general to very specific cases. Our efforts have been concentrated on these specifically polymeric drug delivery systems in the form of coatings. Understanding the dynamic changes that occur in a biodegradable polymeric thin film can aid in the prediction of the future performance of synthesized films designed to be used as implantable medical devices. Extensive research is required to continuously develop new therapeutic systems in order to achieve an optimal concentration of a specific drug at its site of action for an appropriate duration.
{"title":"Polymeric Coatings for Drug Delivery by Medical Devices","authors":"Sanziana Anghel, M. A. Mahmood, C. Matei, A. Visan","doi":"10.12974/2311-8792.2021.07.4","DOIUrl":"https://doi.org/10.12974/2311-8792.2021.07.4","url":null,"abstract":"An analysis of the current landscape of therapeutics and delivery methods was conducted, aiming the field of drug delivery systems. Drug delivery biodistribution characteristics should be systematically understood, in order to maximize the function of these delivery systems. As a result, this review covers a history of the drug delivery systems, as well as the basic terminology associated with them, with a focus on the usage of polymers in the drug administration systems (particularly in form of coatings) and their application. \u0000New trends in nanomaterials-based drug delivery systems, primarily for cancer treatment, were presented, involving a technology designed to maximize therapeutic efficacy of drugs by controlling their biodistribution profile. \u0000There is a justified need to investigate drug delivery systems in form of thin films because, in comparation to bulk drug delivery system, which have a long and comprehensive history, there is still insufficient and fragmented understanding about the delivery of thin polymeric films, with research limited in general to very specific cases. Our efforts have been concentrated on these specifically polymeric drug delivery systems in the form of coatings. Understanding the dynamic changes that occur in a biodegradable polymeric thin film can aid in the prediction of the future performance of synthesized films designed to be used as implantable medical devices. \u0000Extensive research is required to continuously develop new therapeutic systems in order to achieve an optimal concentration of a specific drug at its site of action for an appropriate duration.","PeriodicalId":198717,"journal":{"name":"Journal of Nanotechnology in Diagnosis and Treatment","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125091987","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-15DOI: 10.12974/2311-8792.2021.07.2
S. Chattopadhyay, A. Chattopadhyay, E. Aifantis
Dengue fever is a self-limiting communicable viral disease, transmitted through mosquito bites. Its Case Fatality Grade (CFG) varies across population due to variations in viral load, immunity of the patient, early diagnosis, and availability of high-end treatment facility. This study describes an initial effort to automate the process of Dengue CFG predictions. Two established Statistical Machine Learning (SML) algorithms, Multiple Linear Regressions (MLR) and Multinomial Logistic Regressions (MnLR), are combined to substitute the existing Deep Learning methods for clinical decision making. We consider a vector of eleven sign-symptoms (independent variables), each weighted between [0,1] on a 3-point scale - ‘Mild’ (CFG<=0.33), ‘Moderate’ (0.330.66). Results show that both classifiers are effective in early screening with similar accuracy levels (68% for MLR versus 72% for MnLR) although precision levels are far superior with MnLR (88%) than MLR (61%). This study is a futuristic step towards Machine Learning (ML) aided clinical diagnostic paradigms, as an alternative to computationally intensive Artificial Intelligence.
{"title":"Predicting Case Fatality of Dengue Epidemic: Statistical Machine Learning Towards a Virtual Doctor","authors":"S. Chattopadhyay, A. Chattopadhyay, E. Aifantis","doi":"10.12974/2311-8792.2021.07.2","DOIUrl":"https://doi.org/10.12974/2311-8792.2021.07.2","url":null,"abstract":"Dengue fever is a self-limiting communicable viral disease, transmitted through mosquito bites. Its Case Fatality Grade (CFG) varies across population due to variations in viral load, immunity of the patient, early diagnosis, and availability of high-end treatment facility. This study describes an initial effort to automate the process of Dengue CFG predictions. Two established Statistical Machine Learning (SML) algorithms, Multiple Linear Regressions (MLR) and Multinomial Logistic Regressions (MnLR), are combined to substitute the existing Deep Learning methods for clinical decision making. We consider a vector of eleven sign-symptoms (independent variables), each weighted between [0,1] on a 3-point scale - ‘Mild’ (CFG<=0.33), ‘Moderate’ (0.330.66). Results show that both classifiers are effective in early screening with similar accuracy levels (68% for MLR versus 72% for MnLR) although precision levels are far superior with MnLR (88%) than MLR (61%). This study is a futuristic step towards Machine Learning (ML) aided clinical diagnostic paradigms, as an alternative to computationally intensive Artificial Intelligence.","PeriodicalId":198717,"journal":{"name":"Journal of Nanotechnology in Diagnosis and Treatment","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134258691","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-02DOI: 10.12974/2311-8792.2021.07.1
Aboulaich Abdelhay, C. Merlin, R. Schneider
3-Mercaptopropionic acid (MPA)-capped Mn-doped ZnSe/ZnS and CdTe/CdS core/shell quantum dots (QDs) were prepared via a mild aqueous phase process. The synthesis conditions were adjusted to yield QDs with roughly similar nanocrystal average diameter and light emission wavelengths. X-ray powder diffraction, transmission electron microscopy and spectrofluorometry have been used to characterize the crystal structure and optical properties of the as-prepared QDs. Growth inhibition tests using E. coli bacterial cells were also carried out to assess the cytotoxicity of the dots and showed that core/shell ZnSe:Mn/ZnS@MPA QDs do not exhibit any cytotoxicity against E. coli cells up to a concentration of 14 µM while at this concentration CdTe/CdS@MPA core/shell QDs exert a severely more pronounced cytotoxicity. These results indicate that the cytotoxicity is likely associated to the presence of Cd in the chemical composition of CdTe/CdS@MPA QDs and that ZnSe:Mn/ZnS@MPA nanocrystals are safer and could be used as biological probes for cells and tissues imaging.
{"title":"A Comparative Study of Water Dispersible Orange-Emitting Mn-Doped ZnSe/ZnS and CdTe/CdS Core/Shell Quantum Dots","authors":"Aboulaich Abdelhay, C. Merlin, R. Schneider","doi":"10.12974/2311-8792.2021.07.1","DOIUrl":"https://doi.org/10.12974/2311-8792.2021.07.1","url":null,"abstract":"3-Mercaptopropionic acid (MPA)-capped Mn-doped ZnSe/ZnS and CdTe/CdS core/shell quantum dots (QDs) were prepared via a mild aqueous phase process. The synthesis conditions were adjusted to yield QDs with roughly similar nanocrystal average diameter and light emission wavelengths. X-ray powder diffraction, transmission electron microscopy and spectrofluorometry have been used to characterize the crystal structure and optical properties of the as-prepared QDs. Growth inhibition tests using E. coli bacterial cells were also carried out to assess the cytotoxicity of the dots and showed that core/shell ZnSe:Mn/ZnS@MPA QDs do not exhibit any cytotoxicity against E. coli cells up to a concentration of 14 µM while at this concentration CdTe/CdS@MPA core/shell QDs exert a severely more pronounced cytotoxicity. These results indicate that the cytotoxicity is likely associated to the presence of Cd in the chemical composition of CdTe/CdS@MPA QDs and that ZnSe:Mn/ZnS@MPA nanocrystals are safer and could be used as biological probes for cells and tissues imaging. ","PeriodicalId":198717,"journal":{"name":"Journal of Nanotechnology in Diagnosis and Treatment","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124186941","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-12-20DOI: 10.12974/2311-8792.2018.06.1
D. Kotsifaki
{"title":"Integration of Microfluidics in a Smartphone Microscopy Device for Particles Imaging","authors":"D. Kotsifaki","doi":"10.12974/2311-8792.2018.06.1","DOIUrl":"https://doi.org/10.12974/2311-8792.2018.06.1","url":null,"abstract":"","PeriodicalId":198717,"journal":{"name":"Journal of Nanotechnology in Diagnosis and Treatment","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124577831","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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