1
|
Wang X, Pan Y, Xu Y, Zhao J, Li Y, Li Q, Chen J, Zhao Z, Zhang X, Bae BS, Onwudiwe DC, Xu X, Lei W. Cascade perovskite single crystal for gamma-ray spectroscopy. iScience 2023; 26:107935. [PMID: 37841587 PMCID: PMC10570118 DOI: 10.1016/j.isci.2023.107935] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Revised: 07/19/2023] [Accepted: 09/13/2023] [Indexed: 10/17/2023] Open
Abstract
The halide lead perovskite single crystals (HLPSCs) have great potential in gamma-ray detection with high attenuation coefficient, strong defects tolerance, and large mobility-lifetime product. However, mobile halide ions would migrate under high external bias, which would both weaken the gamma-ray response and cause additional noise. Here, we report the gamma-ray PIN photodiodes made of cascade HLPSCs including both ion-formed and electron-hole-formed electrical junctions that could suppress the ions migration and improve the charges collection. Our photodiodes based on cascade HLPSCs (MAPbBr3/MAPbBr2.5Cl0.5/MAPbCl3) show a wide halide-ion-formed depletion layer of ∼52 μm. The built-in potential along the wide ionic-formed junction ensures a high mobility-lifetime product of 1.1 × 10-2 cm2V-1. As a result, our gamma-ray PIN photodiodes exhibit compelling response to 241Am, 137Cs, and 60Co; the energy resolution can reach 9.4%@59.5keV and 5.9%@662keV, respectively. This work provides a new path toward constructing high-performance gamma-ray detectors based on HLPSCs.
Collapse
Affiliation(s)
- Xin Wang
- School of Electronic Science and Engineering, Joint International Research Laboratory of Information Display and Visualization, Southeast University, Nanjing, China
| | - Yuzhu Pan
- School of Electronic Science and Engineering, Joint International Research Laboratory of Information Display and Visualization, Southeast University, Nanjing, China
| | - Yubing Xu
- School of Electronic Science and Engineering, Joint International Research Laboratory of Information Display and Visualization, Southeast University, Nanjing, China
| | - Jingda Zhao
- School of Electronic Science and Engineering, Joint International Research Laboratory of Information Display and Visualization, Southeast University, Nanjing, China
| | - Yuwei Li
- School of Electronic Science and Engineering, Joint International Research Laboratory of Information Display and Visualization, Southeast University, Nanjing, China
| | - Qing Li
- School of Electronic Science and Engineering, Joint International Research Laboratory of Information Display and Visualization, Southeast University, Nanjing, China
| | - Jing Chen
- School of Electronic Science and Engineering, Joint International Research Laboratory of Information Display and Visualization, Southeast University, Nanjing, China
| | - Zhiwei Zhao
- School of Electronic Science and Engineering, Joint International Research Laboratory of Information Display and Visualization, Southeast University, Nanjing, China
| | - Xiaobing Zhang
- School of Electronic Science and Engineering, Joint International Research Laboratory of Information Display and Visualization, Southeast University, Nanjing, China
| | - Byung Seong Bae
- Department of Electronics &Display Engineering, Hoseo University, Hoseo Ro 79, Asan City, Chungnam 31499, Korea
| | - Damian C. Onwudiwe
- Department of Chemistry, School of Mathematics and Physical Sciences, Faculty of Natural and Agricultural Sciences, North-West University, Mafikeng Campus, Private Bag X2046, Mmabatho 2735, South Africa
| | - Xiaobao Xu
- School of Electronic Science and Engineering, Joint International Research Laboratory of Information Display and Visualization, Southeast University, Nanjing, China
| | - Wei Lei
- School of Electronic Science and Engineering, Joint International Research Laboratory of Information Display and Visualization, Southeast University, Nanjing, China
| |
Collapse
|
2
|
Delmis J, Oreskovic S, Elvedji Gasparovic V, Starcevic M, Herman M, Dessardo N, Starcevic V, Ivanisevic M. Relationship of Glucose, C-peptide, Leptin, and BDNF in Maternal and Umbilical Vein Blood in Type-1 Diabetes. Nutrients 2023; 15:nu15030600. [PMID: 36771307 PMCID: PMC9919383 DOI: 10.3390/nu15030600] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2023] [Revised: 01/21/2023] [Accepted: 01/22/2023] [Indexed: 01/26/2023] Open
Abstract
The study aimed to determine the relationship between glucose, C-peptide, brain-derived neurotrophic factor (BDNF), and leptin between mother and fetus and neonatal weight. METHODS In the prospective observational cohort study, we included 66 women with type-1 diabetes mellitus (T1DM). According to the z-score for neonatal weight, patients were divided into healthy-weight neonates (n = 42) and overweight neonates (n = 24). The maternal blood samples were taken during pregnancy and cesarean section when the umbilical vein blood sample was also withdrawn. The maternal vein sera were analyzed for fasting glucose, C-reactive protein (CRP), leptin, BDNF, TSH, FT3, and FT4. The umbilical vein sera were analyzed for glucose, C-peptide, leptin, TSH, thyroid-stimulating protein (FT3), free thyroxine (FT4), and BDNF concentration. The neonatologist measured the skinfold thickness on the third day of neonatal life. RESULTS A strong correlation was confirmed between maternal and umbilical vein glucose concentration and maternal glucose and C-peptide in umbilical vein blood. A negative correlation was found between the concentration of BDNF in the umbilical vein and glucose in maternal blood. A strong correlation was seen between BMI and maternal blood leptin concentration, neonatal fat body mass, and umbilical vein blood leptin concentration. Higher BMI elevated BDNF, and TSH increase the odds for overweight neonates in the first trimester of pregnancy. Maternal higher leptin concentration in the first trimester decrease the odds of overweight neonates. CONCLUSIONS Maternal glucose concentrations affect the fetus's glucose, C-peptide, and BDNF concentrations. Leptin levels increase in maternal blood due to increased body mass index, and in the neonate, fat body mass is responsible for increased leptin concentrations.
Collapse
|
3
|
Capobianco G, Gulotta A, Tupponi G, Dessole F, Virdis G, Cherchi C, De Vita D, Petrillo M, Olzai G, Antonucci R, Saderi L, Cherchi PL, Dessole S, Sotgiu G. Fetal Growth and Neonatal Outcomes in Pregestational Diabetes Mellitus in a Population with a High Prevalence of Diabetes. J Pers Med 2022; 12:1320. [PMID: 36013269 PMCID: PMC9410378 DOI: 10.3390/jpm12081320] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2022] [Revised: 08/08/2022] [Accepted: 08/12/2022] [Indexed: 11/17/2022] Open
Abstract
The aim of this retrospective study, conducted in an Italian tertiary care hospital, was to evaluate maternal-fetal and neonatal clinical outcomes in a group of patients with pregestational diabetes mellitus (PGDM), such as diabetes mellitus type 1 (DM1), diabetes mellitus type 2 (DM2), and maturity onset diabetes of the young (MODY). Overall, 174 pregnant women, nulliparous and multiparous, with a single pregnancy were enrolled. Data on pregnancy, childbirth, and newborns were collected from medical records. The selected patients were divided into two groups: the PGDM group (42 with DM1, 14 with DM2, and 2 with MODY), and the control group (116 patients with a negative pathological history of diabetes mellitus). We reported an incidence of preterm delivery of 55.2% in the PGDM group, including 59.5% of those with DM1 and 42.9% of those with DM2, vs. 6% in the controls. Fetal growth disorders, such as intrauterine growth retardation, small for gestational age, and fetal macrosomia were found in 19% and 3.6% in the case and control groups, respectively. A relationship between DM2 and gestational hypertension was found.
Collapse
|
4
|
Pressman K, Müller R, Krstić N, Običan S. A novel clinic structure for exposure counseling during pregnancy. Birth Defects Res 2022; 114:855-862. [PMID: 35912974 DOI: 10.1002/bdr2.2069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Revised: 06/30/2022] [Accepted: 07/05/2022] [Indexed: 11/10/2022]
Abstract
BACKGROUND Congenital malformations and adverse fetal outcomes secondary to teratogenic exposures are major public health concerns. We review all inquiries made to the Florida MotherToBaby service center as well as the novel Exposure Clinic, which offers direct patient counseling. METHODS We completed a retrospective review of all inquiries made to the MotherToBaby Florida service and the Exposure Clinic consults between its inception January 2019 through December 2021. All de-identified data was collected at the time of the inquiry and stored in the OTIS database. Aggregate data was then extracted and descriptive statistics were performed. A p value of less than .05 indicated statistical significance. RESULTS In 2019, there were 163 total inquiries, 265 in 2020, and 1,279 in 2021. These 1,707 inquiries covered 2,809 unique exposures. In the Exposure Clinic, 49 patients were seen in 2019, 140 in 2020, and 263 in 2021. The clinic's geographical reach increased over time with patients from 22 different counties being seen in 2021. Of all individual exposures, 45% were evaluated in 452 unique encounters in the Exposure Clinic and 55% were evaluated in 1255 unique encounters via traditional modes of contact. The average number of exposures discussed at each clinic appointment 2.8 versus 1.2 in inquiries via traditional methods. The majority of all exposures were regarding prescription medications, specifically psychiatric medications, followed by immunizations. The exposure with the single most inquiries was the COVID-19 vaccine. CONCLUSIONS This novel clinic structure allows for complex counseling and clinical recommendations regarding exposures during pregnancy.
Collapse
Affiliation(s)
- Katherine Pressman
- Department of Obstetrics & Gynecology, University of South Florida Morsani College of Medicine, Tampa, Florida, USA
| | - Réka Müller
- Department of Obstetrics & Gynecology, University of South Florida Morsani College of Medicine, Tampa, Florida, USA
| | - Nevena Krstić
- Department of Obstetrics & Gynecology, University of South Florida Morsani College of Medicine, Tampa, Florida, USA
| | - Sarah Običan
- Department of Obstetrics & Gynecology, University of South Florida Morsani College of Medicine, Tampa, Florida, USA
| |
Collapse
|
5
|
Guarnotta V, Mineo MI, Giacchetto E, Imbergamo MP, Giordano C. Maternal-foetal complications in pregnancy: a retrospective comparison between type 1 and type 2 diabetes mellitus. BMC Pregnancy Childbirth 2021; 21:243. [PMID: 33752628 PMCID: PMC7986522 DOI: 10.1186/s12884-021-03702-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2020] [Accepted: 03/05/2021] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND The aim of the study was a retrospective comparison of the differences in maternal-foetal outcomes between women with type 1 and type 2 diabetes mellitus (T1DM and T2DM). METHODS A cohort of 135 patients with pregestational diabetes, 73 with T1DM (mean age 29 ± 5 years) and 62 with T2DM (mean age 33 ± 6 years), in intensive insulin treatment throughout pregnancy were evaluated. Clinical and metabolic parameters and the prevalence of maternal and foetal complications were assessed. RESULTS Women with T1DM showed lower pregestational BMI (p < 0.001), pregestational weight (p < 0.001), weight at delivery (p < 0.001), ∆_total_insulin requirement (IR) at the first, second and third trimesters (all p < 0.001) and higher weight gain during pregnancy (p < 0.001), pregestational HbA1c (p = 0.040), HbA1c in the first (p = 0.004), second (p = 0.020) and third (p = 0.010) trimesters compared to T2DM. Women with T1DM had a higher risk of macrosomia (p = 0.005) than T2DM, while women with T2DM showed higher prevalence of abortion (p = 0.037) than T1DM. At multivariate analysis, pregestational BMI and ∆_total_IR of the first trimester were independently associated with abortion in T2DM, while weight gain during pregnancy was independently associated with macrosomia in T1DM. CONCLUSION Women with T1DM have a higher risk of macrosomia than T2DM due to weight gain throughout pregnancy. By contrast, women with T2DM have a higher risk of spontaneous abortion than T1DM, due to pregestational BMI and ∆_total_IR in the first trimester.
Collapse
Affiliation(s)
- Valentina Guarnotta
- Dipartimento di Promozione della Salute, Materno-Infantile, Medicina Interna e Specialistica di Eccellenza "G. D'Alessandro" (PROMISE), Sezione di Malattie Endocrine, del Ricambio e della Nutrizione, Università di Palermo, Piazza delle Cliniche 2, 90127, Palermo, Italy
| | - Mariagrazia Irene Mineo
- Dipartimento di Promozione della Salute, Materno-Infantile, Medicina Interna e Specialistica di Eccellenza "G. D'Alessandro" (PROMISE), Sezione di Malattie Endocrine, del Ricambio e della Nutrizione, Università di Palermo, Piazza delle Cliniche 2, 90127, Palermo, Italy
| | - Emanuela Giacchetto
- Dipartimento di Promozione della Salute, Materno-Infantile, Medicina Interna e Specialistica di Eccellenza "G. D'Alessandro" (PROMISE), Sezione di Malattie Endocrine, del Ricambio e della Nutrizione, Università di Palermo, Piazza delle Cliniche 2, 90127, Palermo, Italy
| | - Maria Pia Imbergamo
- Dipartimento di Promozione della Salute, Materno-Infantile, Medicina Interna e Specialistica di Eccellenza "G. D'Alessandro" (PROMISE), Sezione di Malattie Endocrine, del Ricambio e della Nutrizione, Università di Palermo, Piazza delle Cliniche 2, 90127, Palermo, Italy
| | - Carla Giordano
- Dipartimento di Promozione della Salute, Materno-Infantile, Medicina Interna e Specialistica di Eccellenza "G. D'Alessandro" (PROMISE), Sezione di Malattie Endocrine, del Ricambio e della Nutrizione, Università di Palermo, Piazza delle Cliniche 2, 90127, Palermo, Italy.
| |
Collapse
|