Pub Date : 2022-11-30DOI: 10.1080/10739149.2022.2150005
D. Jáuregui-Vázquez, J. Korterik, H. Offerhaus, R. Rojas‐Laguna, J. Álvarez-Chávez
Abstract An optical fiber strain sensor with adjustable sensitivity is proposed and demonstrated. The strain sensing setup employs a fiber optic Michelson interferometer (sensing element) and an extrinsic Fabry–Perot interferometer, in which both structures excited the Vernier effect. By adjusting the cavity length of the extrinsic Fabry–Perot interferometer, it is possible to control the M-factor. The set-up offers both sensitivity enhancement and magnification mode, where the maximal sensitivity is 4.38 pm/με (M-factor = 2.3). This design improves the sensor performance and its implementation is not intricate.
{"title":"Strain optical fiber sensor with modified sensitivity based on the vernier effect","authors":"D. Jáuregui-Vázquez, J. Korterik, H. Offerhaus, R. Rojas‐Laguna, J. Álvarez-Chávez","doi":"10.1080/10739149.2022.2150005","DOIUrl":"https://doi.org/10.1080/10739149.2022.2150005","url":null,"abstract":"Abstract An optical fiber strain sensor with adjustable sensitivity is proposed and demonstrated. The strain sensing setup employs a fiber optic Michelson interferometer (sensing element) and an extrinsic Fabry–Perot interferometer, in which both structures excited the Vernier effect. By adjusting the cavity length of the extrinsic Fabry–Perot interferometer, it is possible to control the M-factor. The set-up offers both sensitivity enhancement and magnification mode, where the maximal sensitivity is 4.38 pm/με (M-factor = 2.3). This design improves the sensor performance and its implementation is not intricate.","PeriodicalId":13547,"journal":{"name":"Instrumentation Science & Technology","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47634321","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-25DOI: 10.1080/10739149.2022.2149552
Giang Hoang Nguyen, Hanh Phan, Thang Toan Vu, Hoa Thi Hien Tran, Tung Son Tran, Trung Quang Nguyen, Nam Thanh Duong
Abstract There is a growing demand for a flexible, precise calibration facility for aerosol monitoring instruments. This study investigated ManDust1, an aerosol calibration facility that is compatible with a variety of different operating principles. The facility comprises four systems: (a) a clean air supply system, (b) an aerosol generator system, (c) a diffuser tower, and (d) a sampling system. A compact and modular diffuser tower provides turbulence flow to homogeneously mix the injected aerosol before collection by custom-made isokinetic sampling probes. The velocity profile in the diffuser tower was computed and measured to be turbulent, generating a well-mix aerosol condition with spatial homogeneity of 4.38% across all sampling locations. A computational fluid dynamics (CFD) simulation conducted to confirm the dimension of the facilty was able to generate turbulence flow and mixing. The facility stably provided aerosols from 0 to 10 µm with variable concentrations from a few µg/m3 to 1000 µg/m3. The uncertainty budget in this study was calculated to be 5.98% when the facility was operated at 600 µg/m3 (95% confident level), and span drift was calculated to be 3.15% after 120 h of measurement.
{"title":"Facility for aerosol monitoring instruments (ManDust): design and fabrication of a versatile diffuser tower with isokinetic sampling probes","authors":"Giang Hoang Nguyen, Hanh Phan, Thang Toan Vu, Hoa Thi Hien Tran, Tung Son Tran, Trung Quang Nguyen, Nam Thanh Duong","doi":"10.1080/10739149.2022.2149552","DOIUrl":"https://doi.org/10.1080/10739149.2022.2149552","url":null,"abstract":"Abstract There is a growing demand for a flexible, precise calibration facility for aerosol monitoring instruments. This study investigated ManDust1, an aerosol calibration facility that is compatible with a variety of different operating principles. The facility comprises four systems: (a) a clean air supply system, (b) an aerosol generator system, (c) a diffuser tower, and (d) a sampling system. A compact and modular diffuser tower provides turbulence flow to homogeneously mix the injected aerosol before collection by custom-made isokinetic sampling probes. The velocity profile in the diffuser tower was computed and measured to be turbulent, generating a well-mix aerosol condition with spatial homogeneity of 4.38% across all sampling locations. A computational fluid dynamics (CFD) simulation conducted to confirm the dimension of the facilty was able to generate turbulence flow and mixing. The facility stably provided aerosols from 0 to 10 µm with variable concentrations from a few µg/m3 to 1000 µg/m3. The uncertainty budget in this study was calculated to be 5.98% when the facility was operated at 600 µg/m3 (95% confident level), and span drift was calculated to be 3.15% after 120 h of measurement.","PeriodicalId":13547,"journal":{"name":"Instrumentation Science & Technology","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46781688","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-07DOI: 10.1080/10739149.2022.2143374
Ma Xuan, Phu Nguyen Dang, Loc Do Quang, Hiếu Nguyễn Minh, T. C. Duc, T. Thanh
Abstract A highly sensitive magnetic measurement system was successfully developed using a modified commercial giant magnetometer resistance (GMR) sensor. The device was placed in a highly uniform magnetic field that was generated by two Helmholtz coil pairs which emit magnetic fields in perpendicular directions to magnetize the SPMNPs and bias the GMR sensor to a linear operating range. The system was used to quantitatively determine the concentrations of superparamagnetic nanoparticles in continuous flow. The characteristics of the proposed system were investigated using three types of superparamagnetic nanoparticles: CoFe2O4, CoFe2O4@Fe3O4, and Fe3O4 with different average particle sizes and magnetic saturation. Coupled with the lock-in measurements, the limit of detection (LOD) for the Fe3O4 nanoparticles was 15.5 μg/mL. The limits of detection for CoFe2O4 and CoFe2O4@Fe3O4 were 74 μg/mL and 96.5 μg/mL, respectively. The results show that Fe3O4 is suitable for this system for the separation and quantification of biomarkers in diagnostics.
{"title":"Highly sensitive modified giant magnetometer resistance measurement system for the determination of superparamagnetic nanoparticles in continuous flow with application for the separation of biomarkers","authors":"Ma Xuan, Phu Nguyen Dang, Loc Do Quang, Hiếu Nguyễn Minh, T. C. Duc, T. Thanh","doi":"10.1080/10739149.2022.2143374","DOIUrl":"https://doi.org/10.1080/10739149.2022.2143374","url":null,"abstract":"Abstract A highly sensitive magnetic measurement system was successfully developed using a modified commercial giant magnetometer resistance (GMR) sensor. The device was placed in a highly uniform magnetic field that was generated by two Helmholtz coil pairs which emit magnetic fields in perpendicular directions to magnetize the SPMNPs and bias the GMR sensor to a linear operating range. The system was used to quantitatively determine the concentrations of superparamagnetic nanoparticles in continuous flow. The characteristics of the proposed system were investigated using three types of superparamagnetic nanoparticles: CoFe2O4, CoFe2O4@Fe3O4, and Fe3O4 with different average particle sizes and magnetic saturation. Coupled with the lock-in measurements, the limit of detection (LOD) for the Fe3O4 nanoparticles was 15.5 μg/mL. The limits of detection for CoFe2O4 and CoFe2O4@Fe3O4 were 74 μg/mL and 96.5 μg/mL, respectively. The results show that Fe3O4 is suitable for this system for the separation and quantification of biomarkers in diagnostics.","PeriodicalId":13547,"journal":{"name":"Instrumentation Science & Technology","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2022-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42812960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-02DOI: 10.1080/10739149.2022.2069116
Yu Ying, Zhi-jun Gao, Siyu Cheng, G. Si
Abstract A D-shaped photonic crystal fiber (PCF) with graphene-polymethyl methacrylate (PMMA) stack was employed to determine the refractive index from 1.33 to 1.41 and improve the extinction ratio. The proposed sensor was numerically analyzed using the finite element method. The polishing depth, period of the graphene-PMMA stack, and number of graphene layers on the sensing performance of the proposed structure were evaluated. The results indicate that the spectrum and sensitivity may be modulated. The proposed sensor exhibits a wavelength sensitivity of 2200 nm/RIU, a wavelength resolution of 4.54 × 10−5 RIU, and linearity of 0.9918 with a high extinction ratio. Thus, this device has potential applications in PCF sensors.
{"title":"Refractive index (RI) sensing by a D-shaped photonic crystal fiber with a deposited graphene–polymethyl methacrylate (PMMA) platform","authors":"Yu Ying, Zhi-jun Gao, Siyu Cheng, G. Si","doi":"10.1080/10739149.2022.2069116","DOIUrl":"https://doi.org/10.1080/10739149.2022.2069116","url":null,"abstract":"Abstract A D-shaped photonic crystal fiber (PCF) with graphene-polymethyl methacrylate (PMMA) stack was employed to determine the refractive index from 1.33 to 1.41 and improve the extinction ratio. The proposed sensor was numerically analyzed using the finite element method. The polishing depth, period of the graphene-PMMA stack, and number of graphene layers on the sensing performance of the proposed structure were evaluated. The results indicate that the spectrum and sensitivity may be modulated. The proposed sensor exhibits a wavelength sensitivity of 2200 nm/RIU, a wavelength resolution of 4.54 × 10−5 RIU, and linearity of 0.9918 with a high extinction ratio. Thus, this device has potential applications in PCF sensors.","PeriodicalId":13547,"journal":{"name":"Instrumentation Science & Technology","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2022-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46713628","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-12DOI: 10.1080/10739149.2022.2129678
Feng Xia, Yuan-xin Li, Bo Liu
Abstract A temperature sensor based on composite multicavity Fabry-Perot interferometers (FPIs) and a sensitivity-enhanced differential phase demodulation method is proposed and demonstrated. The structure was fabricated by partially filled polydimethylsiloxane (PDMS) into a segment of hollow-core fiber (HCF) which is spliced with a single-mode fiber (SMF). In this structure, composite multicavity FPIs are formed, including an air-cavity FPI, a PDMS-cavity FPI and an air-PDMS cavity FPI. The contribution of the different FPIs to the superimposed spectrum is analyzed from the simulated and experimental perspectives. The results demonstrate that the superimposed output spectrum is mainly produced by the air-cavity FPI and the air-PDMS cavity FPI. When the temperature increases, the lengths of the PDMS-cavity and the air-PDMS cavity are enhanced due to the volume expansion of PDMS, and the length of the air-cavity decreases because the air-cavity is compressed by the expanded PDMS. The cavity length variation causes the phase variation in the air-cavity FPI to be the opposite to that in the PDMS-cavity FPI or air-PDMS cavity FPI. Therefore, the phase demodulation sensitivity is enhanced by calculating the differential phase between the air-cavity FPI and the air-PDMS cavity FPI. The experimental results show that the sensitivity amplification factor of differential phase to the single phase of the air-cavity FPI or the air-PDMS cavity FPI is from approximately 1.44–3.25. This phase demodulation method is simpler, faster, more direct, and more convenient than wavelength demodulation from the perspective of demodulating composite interferometers.
{"title":"Sensitive temperature measurement with composite multicavity Fabry-Perot interferometers (FPIs) and differential phase demodulation","authors":"Feng Xia, Yuan-xin Li, Bo Liu","doi":"10.1080/10739149.2022.2129678","DOIUrl":"https://doi.org/10.1080/10739149.2022.2129678","url":null,"abstract":"Abstract A temperature sensor based on composite multicavity Fabry-Perot interferometers (FPIs) and a sensitivity-enhanced differential phase demodulation method is proposed and demonstrated. The structure was fabricated by partially filled polydimethylsiloxane (PDMS) into a segment of hollow-core fiber (HCF) which is spliced with a single-mode fiber (SMF). In this structure, composite multicavity FPIs are formed, including an air-cavity FPI, a PDMS-cavity FPI and an air-PDMS cavity FPI. The contribution of the different FPIs to the superimposed spectrum is analyzed from the simulated and experimental perspectives. The results demonstrate that the superimposed output spectrum is mainly produced by the air-cavity FPI and the air-PDMS cavity FPI. When the temperature increases, the lengths of the PDMS-cavity and the air-PDMS cavity are enhanced due to the volume expansion of PDMS, and the length of the air-cavity decreases because the air-cavity is compressed by the expanded PDMS. The cavity length variation causes the phase variation in the air-cavity FPI to be the opposite to that in the PDMS-cavity FPI or air-PDMS cavity FPI. Therefore, the phase demodulation sensitivity is enhanced by calculating the differential phase between the air-cavity FPI and the air-PDMS cavity FPI. The experimental results show that the sensitivity amplification factor of differential phase to the single phase of the air-cavity FPI or the air-PDMS cavity FPI is from approximately 1.44–3.25. This phase demodulation method is simpler, faster, more direct, and more convenient than wavelength demodulation from the perspective of demodulating composite interferometers.","PeriodicalId":13547,"journal":{"name":"Instrumentation Science & Technology","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2022-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46101752","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Many people suffer from scalp disorders but common treatment devices have faults such as inaccuracy of results and inconvenience of use. This study proposes a deep learning-based intelligent scalp diagnosis and classification system, named artificial intelligence (AI)-ScalpGrader. The proposed system consists of a portable scalp imaging device (ASM-202), a mobile device app, a cloud-based AI training server, and a cloud-based management platform. The instrumentation diagnoses and classifies ten scalp symptoms (normal, drying, oily, sensitivity, atopy, seborrheic, trouble, dry dandruff, oily dandruff, and hair loss) based on seven dermatologist-based indices (microkeratin, sebaceous, erythema between hair follicles, follicular erythema/pustules, dandruff, and hair loss) by AI-based characterization of the symptoms and indices. EfficientNet, a convolutional neural network (CNN) learning model, is MBConvolution composed with depthwise convolution, squeeze excitation, and width scaling and was adopted to diagnose and classify scalp conditions through retraining of images in the system. The results and verification on the reliability of AI-based data show that the system is able to diagnose and classify these symptoms and severity of the indices with accuracy values from 87.3 to 91.3%. Therefore, the AI-ScalpGrader is a novel approach to diagnose and classify scalp status.
{"title":"Artificial intelligence (AI) based system for the diagnosis and classification of scalp health: AI-ScalpGrader","authors":"Jeong-Il Jeong, Dong-Soon Park, Ji-eun Koo, Woo-Sang Song, Duck-Jin Pae, Hwa-Jung Choi","doi":"10.1080/10739149.2022.2129382","DOIUrl":"https://doi.org/10.1080/10739149.2022.2129382","url":null,"abstract":"Abstract Many people suffer from scalp disorders but common treatment devices have faults such as inaccuracy of results and inconvenience of use. This study proposes a deep learning-based intelligent scalp diagnosis and classification system, named artificial intelligence (AI)-ScalpGrader. The proposed system consists of a portable scalp imaging device (ASM-202), a mobile device app, a cloud-based AI training server, and a cloud-based management platform. The instrumentation diagnoses and classifies ten scalp symptoms (normal, drying, oily, sensitivity, atopy, seborrheic, trouble, dry dandruff, oily dandruff, and hair loss) based on seven dermatologist-based indices (microkeratin, sebaceous, erythema between hair follicles, follicular erythema/pustules, dandruff, and hair loss) by AI-based characterization of the symptoms and indices. EfficientNet, a convolutional neural network (CNN) learning model, is MBConvolution composed with depthwise convolution, squeeze excitation, and width scaling and was adopted to diagnose and classify scalp conditions through retraining of images in the system. The results and verification on the reliability of AI-based data show that the system is able to diagnose and classify these symptoms and severity of the indices with accuracy values from 87.3 to 91.3%. Therefore, the AI-ScalpGrader is a novel approach to diagnose and classify scalp status.","PeriodicalId":13547,"journal":{"name":"Instrumentation Science & Technology","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2022-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41802958","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-03DOI: 10.1080/10739149.2022.2129677
Nagarjuna Boppana, Robyn A. Snow, Paul S. Simone, G. L. Emmert, Michael A. Brown
Abstract A low-cost, automated pipetting system (auto pipet) was developed to deliver microliter volumes of aqueous solutions. This system was constructed using a single board computer, 3 D-printed parts, stepper motors, and other commercially available components. The performance of the auto pipet was found to be comparable or better than manual pipetting and a commercially available liquid handling system. Inter-day, intra-day, inter-instrumental, and intra-instrumental validation studies were performed to evaluate the accuracy and precision of liquid delivery using the auto pipet. Accuracy was determined to be from 98 to 102% with the precision, represented as the relative standard deviation, to be less than 3%. The auto pipet was further evaluated by the preparation of calibration and check standards for the determination of method detection limit, accuracy, and precision for trihalomethanes using a commercially available monitoring system. The auto pipet was also used as a digital buret to perform water hardness and water alkalinity titrations with promising results. Graphical Abstract
{"title":"Low-cost automated pipetting system using a single board computer and 3D-printing","authors":"Nagarjuna Boppana, Robyn A. Snow, Paul S. Simone, G. L. Emmert, Michael A. Brown","doi":"10.1080/10739149.2022.2129677","DOIUrl":"https://doi.org/10.1080/10739149.2022.2129677","url":null,"abstract":"Abstract A low-cost, automated pipetting system (auto pipet) was developed to deliver microliter volumes of aqueous solutions. This system was constructed using a single board computer, 3 D-printed parts, stepper motors, and other commercially available components. The performance of the auto pipet was found to be comparable or better than manual pipetting and a commercially available liquid handling system. Inter-day, intra-day, inter-instrumental, and intra-instrumental validation studies were performed to evaluate the accuracy and precision of liquid delivery using the auto pipet. Accuracy was determined to be from 98 to 102% with the precision, represented as the relative standard deviation, to be less than 3%. The auto pipet was further evaluated by the preparation of calibration and check standards for the determination of method detection limit, accuracy, and precision for trihalomethanes using a commercially available monitoring system. The auto pipet was also used as a digital buret to perform water hardness and water alkalinity titrations with promising results. Graphical Abstract","PeriodicalId":13547,"journal":{"name":"Instrumentation Science & Technology","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2022-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44623769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-29DOI: 10.1080/10739149.2022.2127759
Xin Yan, Yang Zhao, T. Cheng, R. Fu
Abstract This paper reports a double-sided polished microstructured fiber based on the refractive index that simultaneously measures the refractive index and temperature. Two polished planes were introduced into the cladding. A gold film and polydimethylsiloxane are deposited on one side of the plane for temperature measurements, and graphene layers are coated on the surface of the silver film on the other side for refractive index measurements. The finite element method is used to characterize the sensing characteristics of the sensor. The results show that when the liquid refractive index is from 1.36 to 1.4 and the temperature from 70 °C to 110 °C, the maximum sensitivity of the sensor is 15,000 nm/RIU and 8.8 nm/°C, respectively. The double-sided polished structure facilitates the development of multi-parameter measurement sensors for various applications.
{"title":"Surface plasmon resonance sensor for refractive index and temperature measurement based upon a double-sided polished microstructured fiber","authors":"Xin Yan, Yang Zhao, T. Cheng, R. Fu","doi":"10.1080/10739149.2022.2127759","DOIUrl":"https://doi.org/10.1080/10739149.2022.2127759","url":null,"abstract":"Abstract This paper reports a double-sided polished microstructured fiber based on the refractive index that simultaneously measures the refractive index and temperature. Two polished planes were introduced into the cladding. A gold film and polydimethylsiloxane are deposited on one side of the plane for temperature measurements, and graphene layers are coated on the surface of the silver film on the other side for refractive index measurements. The finite element method is used to characterize the sensing characteristics of the sensor. The results show that when the liquid refractive index is from 1.36 to 1.4 and the temperature from 70 °C to 110 °C, the maximum sensitivity of the sensor is 15,000 nm/RIU and 8.8 nm/°C, respectively. The double-sided polished structure facilitates the development of multi-parameter measurement sensors for various applications.","PeriodicalId":13547,"journal":{"name":"Instrumentation Science & Technology","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2022-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46811423","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-29DOI: 10.1080/10739149.2022.2128371
R. C. de Holanda, F. C. Cunha, A. Secchi, A. G. Barreto
Abstract Praziquantel (PZQ) is a racemic mixture prescribed for Schistosomiasis disease treatment. However, only the enantiomer (R)-PZQ presents demonstrated efficiency against infirmity; the (S)-PZQ causes sickness and vomiting due to its bitter taste. The simulated moving bed chromatography system (SMB) is a well-established separation process applied in many branches of the chemical industry from drug purification stages to food processing systems. In order to implement and operate an SMB for the PZQ separation, allowing the production of medication with proven efficiency and without side effects, a LabVIEW supervisory system was developed. The automated software remotely controlled all equipment in the operational unit, such as automatic pumps, multi-position valves for flow rate alignments, and a chiral detector. Two experiments were conducted to characterize the system’s operational properties and efficiency. The first set of results demonstrated that the data acquisition programming retrieved information constantly, evidencing a direct correlation between the internal liquid pressure and the valve system position, with mean pressure values of approximately 50 bar. The second set of results demonstrated the SMB efficiency, with the raffinate stream producing (R)-PZQ of 100% purity.
{"title":"Supervisory system for automated simulated moving bed (SMB) liquid chromatography (LC)","authors":"R. C. de Holanda, F. C. Cunha, A. Secchi, A. G. Barreto","doi":"10.1080/10739149.2022.2128371","DOIUrl":"https://doi.org/10.1080/10739149.2022.2128371","url":null,"abstract":"Abstract Praziquantel (PZQ) is a racemic mixture prescribed for Schistosomiasis disease treatment. However, only the enantiomer (R)-PZQ presents demonstrated efficiency against infirmity; the (S)-PZQ causes sickness and vomiting due to its bitter taste. The simulated moving bed chromatography system (SMB) is a well-established separation process applied in many branches of the chemical industry from drug purification stages to food processing systems. In order to implement and operate an SMB for the PZQ separation, allowing the production of medication with proven efficiency and without side effects, a LabVIEW supervisory system was developed. The automated software remotely controlled all equipment in the operational unit, such as automatic pumps, multi-position valves for flow rate alignments, and a chiral detector. Two experiments were conducted to characterize the system’s operational properties and efficiency. The first set of results demonstrated that the data acquisition programming retrieved information constantly, evidencing a direct correlation between the internal liquid pressure and the valve system position, with mean pressure values of approximately 50 bar. The second set of results demonstrated the SMB efficiency, with the raffinate stream producing (R)-PZQ of 100% purity.","PeriodicalId":13547,"journal":{"name":"Instrumentation Science & Technology","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2022-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43339750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-28DOI: 10.1080/10739149.2022.2127109
Zeliha Erbaş, M. Soylak
Abstract A microextraction method has been developed for the determination of rhodamine B (Rh-B) in water and cosmetics by separation and preconcentration with liquid microextraction based upon a switchable hydrophilic solvent and determination by spectrophotometry. The analyte was extracted into the triethylamine (TEA) phase using sodium hydroxide (NaOH) to convert protonated triethylamine carbonate (P-TEA-C) to triethylamine. Various analytical parameters such as the pH of the sample solution, extraction solvent volume, and sample volumes affecting the quantitative recovery values of rhodamine B were optimized. The limit of detection (LOD) and limit of quantification (LOQ) were 2.96 and 9.88 ng/mL, respectively. The developed method was successfully applied to the determination of rhodamine B and satisfactory recovery values were obtained. The developed approach is fairly fast and an environmentally friendly alternative for the separation and preconcentration of rhodamine B water and cosmetic samples.
{"title":"Determination of rhodamine B in water and cosmetics by switchable solvent-based liquid phase microextraction with spectrophotometric determination","authors":"Zeliha Erbaş, M. Soylak","doi":"10.1080/10739149.2022.2127109","DOIUrl":"https://doi.org/10.1080/10739149.2022.2127109","url":null,"abstract":"Abstract A microextraction method has been developed for the determination of rhodamine B (Rh-B) in water and cosmetics by separation and preconcentration with liquid microextraction based upon a switchable hydrophilic solvent and determination by spectrophotometry. The analyte was extracted into the triethylamine (TEA) phase using sodium hydroxide (NaOH) to convert protonated triethylamine carbonate (P-TEA-C) to triethylamine. Various analytical parameters such as the pH of the sample solution, extraction solvent volume, and sample volumes affecting the quantitative recovery values of rhodamine B were optimized. The limit of detection (LOD) and limit of quantification (LOQ) were 2.96 and 9.88 ng/mL, respectively. The developed method was successfully applied to the determination of rhodamine B and satisfactory recovery values were obtained. The developed approach is fairly fast and an environmentally friendly alternative for the separation and preconcentration of rhodamine B water and cosmetic samples.","PeriodicalId":13547,"journal":{"name":"Instrumentation Science & Technology","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2022-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60136204","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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