Introduction
Accelerator mass spectrometry (AMS), an innovative detection method based on accelerator and ion detection technology (Muller et al. Reference Muller1977; Elmore et al. Reference Elmore and Phillips1987), has the advantages of high sensitivity, small sample consumption, and short measurement time, so it has been widely used in nuclear physics, archaeology, earth science, environmental science, and life science (Shen et al. Reference Shen, Ruan and Jiang2009, Reference Shen, Jiang and He2012, Reference Shen, Jiang and He2013, Reference Shen, Pang, Jiang, He, Dong and Dou2015, Reference Shen, Sasa, Meng, Matsumura and Matsunak2019). In recent years, the design of AMS has tended to be compact, and construction and operation costs have been significantly reduced (Synal et al. Reference Synal, Stocker and Suter2007, Reference Synal and Wacker2010, Reference Synal2013). The AMS at Guangxi Normal University (GXNU-AMS) was completed at the end of 2017 and has successfully established 14C and 3H measurements methods (Zhao et al. Reference Zhao, Qin and Li2020; Shen and Zhang et al. Reference Shen, Zhang and Tang2022). Since becoming operational, improvements to beam quality, measurement accuracy, sensitivity , and other parameters have been realized, and GXNU-AMS has become a nuclear physics experiment platform with its own characteristics in the world.
System description of GXNU-AMS
The GXNU-AMS system of Guangxi Normal University is the first Chinese homemade accelerator mass spectrometer (AMS) jointly developed by Guangxi Normal University and the China Institute of Atomic Energy, as shown in Figure 1. It is composed of a cesium sputtering negative ion source, preaccelerator, injection magnet, electric quadrupole lens, main accelerator, gas stripper, analysis magnet, electrostatic analyzer, and detector, as shown in Figure S1. The ion source and injection system are placed onto a –200 kV high voltage platform and five molecular pump stations are used to maintain the vacuum of the accelerator cavity within 2 × 10–5 Pa. The whole system has a footprint of only 2.5 m × 4.6 m.
A single-stage GXNU-AMS system at GXNU.
The ion source is an NEC (National Electrostatics Corp., USA) multitarget (40 targets) cesium sputtering negative ion source. The injected magnet is a double-focusing magnet with a deflection angle of 90° and a deflection radius of 300 mm. An alternating high-frequency potential is applied to the vacuum box in the injection magnet to realize high-speed alternating injection of C isotopes: 12C–, 13C–, and 14C–. An electric quaternary lens focuses the negative-ion beam, which is then accelerated into the gas stripper through a 150-kV accelerating tube. The stripping tube is 500 mm long and has an inner diameter of 10 mm. A 2-mm gas inlet hole is provided in the tube’s center to supply helium from an external gas cylinder, and the gas supply is controlled by a high-precision mass flow meter. The stripper gas is extracted by a 600-L turbomolecular pump station installed under the gas stripper. An analysis magnet with a deflection angle of 90º and a deflection radius of 355 mm is used for performing ion momentum/charge selection, then via the electrostatic analyzer with the same deflection angle and a deflection radius of 300 mm for ion energy/charge selection. Finally, the 14C (or 3H) count is recorded by the solid-state detector. Two offset Faraday cups placed at the image points of the injection and analysis magnets are used to simultaneously monitor the beam currents of the stable isotopes at the low-energy and high-energy sides, respectively, and finally, the 14C/12C (or 3H/H) abundance values of the samples are obtained.
System performance
The GXNU-AMS system is currently just a homemade non-commercial prototype. Therefore, meticulous fine-tuning of the AMS system is the key to measurement sensitivity and accuracy. The user stabilizes the ion source while monitoring the 12C– (or 1H–) beam current in a low-energy (LE) off-axis Faraday cup after setting the ionizer current to 23 A, the oven heater voltage to 23 V (∼110ºC), the cathode voltage to 2.5 kV, and the extractor voltage to 13 kV. The typical 12C- and 1H– beam currents at the LE off-axis Faraday cup are 50 μA and 15 μA, respectively. Then, the 13C– (or 1H–) beam current is injected through the accelerator, gas stripper, HE magnet, ESA, and finally into the Faraday cup before the detector. By maximizing the beam current by setting the major elements of the machine, the highest possible transmission efficiency is obtained. The overall beam transmission efficiency from the LE Faraday cup to the detector is currently approximately 50% and 85% for 12C and 1H, respectively, and the loss is mainly caused by the loss of charge-state yield at the stripper. Then, moving both magnets to the 14C (or 3H) settings leads to a peak in the 14C (or 3H) count rate measured at the silicon detector. The magnetic component settings should be continuously adjusted to obtain the “flat-top” characteristic curve, as shown in Figure S2, and the final 14C/12C (or 3H/H) ratios obtained using a standard should be observed. To ensure the stability of the beam transmission efficiency after running the device for an extended period, we locate the working parameters of each magnetic component at the central position of its “flat-top” curve. Currently, the detection count rate of the GXNU-AMS for the 14C OXII standard and 3H (4.83 × 106 TU) standard samples is approximately 120 counts/s and 200 counts/s, respectively, as shown in Figure 2.
Energy spectra of 14C+ (a) and 3H+ (b) of semiconductor detectors.
14C Measurement Performance
To verify the 14C measurement performance of GXNU-AMS, we measured a series of international standard samples equivalent to approximately 1 mg of C with known pMC, i.e., OXII (134.07 pMC), IAEA-C7 (49.53 pMC), IAEA-C8 (15.03 pMC), IAEA-C1 (0.00 pMC) and commercial blank graphite to confirm the reliability of GXNU-AMS, as shown in Figure 3, where pMC represents the percentage of modern carbon. Nine 5-minute runs were performed for each sample. The abundance values and uncertainties are based on the average values and the relative standard deviations for five runs, respectively. The measurement results of the standard samples are in line with the nominal values, as shown in Figure 3(a), verifying the reliability of the AMS system. The background value of unprocessed commercial graphite is 0.27 ± 0.02 pMC, as shown in Figure 3(b), and the 14C/12C value is (3.14 ± 0.05) ×10–15, equivalent to a 14C age of approximately 47,000 years. The background value of the process blank ranges between 0.49 pMC and 0.62 pMC, as shown in Figure 3(c), the mean value is 0.55 ± 0.04 pMC, and the 14C/12C ratio is 6.47 ± 0.48 × 10–15, which is equivalent to a 14C age of approximately 40,500 years. In addition, international standard samples, such as OXII and IAEA-C8, were prepared and measured using AMS. The average pMC of oxalic acid is determined to be 134.11 ± 0.41 pMC, which is consistent with the recognized standard value of 134.07 pMC within the allowable error. The pMC value of IAEA-C8 is 15.17 ± 0.22 pMC, which is also consistent with the recognized standard value of 15.03 pMC. Moreover, the precision of the system varies by ∼0.6% from the test results of standard samples in different time periods, as shown in Figure 3(d), indicating that the system has the high measurement accuracy and proven stability required for environmental and life sciences applications.
Measurement values of standard and blank samples. (a) Linear relationship between the measured value and nominal value, (b) blank graphite, (c) IAEA-C1, and (d) OXII.
3H Measurement Performance
A series of tritium water samples with a concentration gradient, as shown in Table 1: 1# (4.55 × 107 TU), 2# (4.83 × 106 TU), 3# (5.37 × 105 TU), 4# (5.46 × 104 TU) and Alfa’s commercial TiH2 (0.00 TU), where 1 Tu represents 3H/1H = 1 × 10–18, were used as standard and background samples to check the 3H measurement performance of GXNU-AMS. The tritium water standard samples were prepared into titanium hydride by a laboratory vacuum line system (Shen and Tang et al. Reference Shen, Shi and Tang2022) and then measured using the GXNU-AMS system. The measurement results of the standard samples are in line with the nominal values, as shown in Figure 4, verifying the reliability of the AMS system for tritium samples. The background 3H/H ratio value of unprocessed commercial TiH2 is (1.23 ± 0.17) × 10•16 (123TU), as shown in Figure 4.
Results of AMS measurements of standard and blank samples of tritium.
Linear relationship between the measured value and nominal value of tritium water containing different 3H/H concentrations.
Performance Comparison of the Commercial AMS
Over the past decade, commercial AMS device design has gradually moved toward compact, low cost, and standardization. The NEC company first introduced an AMS system (SSAMS) of a single-stage electrostatic accelerator with a terminal voltage of 250kV (Schroeder et al. Reference Schroeder, Hauser and Klody2007; Skog et al. Reference Skog2007). The AMS Laboratory at ETH Zurich, Switzerland, in collaboration with Ionplus, then developed a new type of tandem AMS system (MICADAS) with a 200 kV terminal voltage (Synal et al. Reference Synal, Stocker and Suter2007; Christl et al. Reference Christl, Vockenhuber and Kubik2013). In recent years, HVEE has developed a 200 kV small C-dedicated AMS (Scognamiglio et al. Reference Scognamiglio and Klein2021). In 2017, Guangxi Normal University, in collaboration with the China Institute of Atomic Energy (CIAE), developed a new 150 kV single-stage AMS (GXNU-AMS) prototype and continuously improved its beam quality, measurement accuracy, sensitivity, and other parameters in the following years. Currently, the main parameters for GXNU-AMS are close to the international level for the same type of commercial AMS, as shown in Table 2.
Technical characteristics of commercial AMS.
research Application
Oil Field Tracer Experiment
Zhongyuan Oilfield, Sinopec, central China, has been developed for more than 30 years since 1979. The average comprehensive water cut (the water content in reservoir fluids)of the whole oilfield has reached 86.1%, while the oil recovery is only 21.5%. Especially after years of intense injection and production in the old oilfield, the phenomenon of large pores is widespread in most blocks, seriously threatening the stable production development of the Zhongyuan Oilfield. To overcome these difficulties and scientifically guide extraction in the middle to late development stages, we developed a 14C cross-well tracer monitoring technology and applied it to monitor the development status and recognize the heterogeneity of oil reservoirs (Shen and Shi et al. Reference Shen, Shi and Tang2022). In this work, the target-well group included one water well (Hu136-C1) and two oil wells (H136-2, H136-8). After the on-site tracer injection of a total dose calculated to be 3.08 × 1018 14C atoms in this tracer experiment, and using 360 µCi of 14C in the form of commercial urea enriched to 99% in 14C, sampling was started in the two production oil wells on the following days. Approximately 1000 mL of oil-water samples were taken once per day, with this sampling appropriately increased when a tracer was found. After all the peaks were observed, the sampling frequency was gradually reduced from 1 time/2 d to 1 time/4 d to extend the sampling time until the sampling was stopped. The tracer concentrations for the production wells were measured by AMS from October 30, 2020, to March 27, 2021. The monitoring period was 149 days and 298 samples, and the tracer concentration production curves for both production wells are shown in Figure S3. The output curve clearly shows the presence of the tracer on the 20th day in the H136-2 well, and the concentration peak occurs on the 65th, 77th, and 127th days. For the H136-8 well, the tracer is observed on the 54th day, and the peak occurs on the 92nd and 135th days. From these data, the different formation parameters, such as water drive speed, swept volume, permeability, and radius of pore passages, under different well were derived (Shen and Shi et al. Reference Shen, Shi and Tang2022). The AMS measurement data also show that the background 14C/12C ratio of the oil-water samples is approximately 5 × 10–14, the peak 14C/12C ratio is approximately 4 × 10–12 (800 Bq/kg C), which is consistent with our previous calculation, and were used to model underground reservoir characteristics (Wei Reference Wei2021). It is experimentally verified that 14C-labeled urea is an ideal tracer for cross-well monitoring.
Dating of Chinese Ancient Tea Trees
The jungles of Linyun and Longlin Autonomous Prefecture, located in the heart of the southwestern Guangxi Zhuang Autonomous Region of China, are home to the oldest tea trees (Camellia sinensis) in the world. In the absence of regular annual rings, radiocarbon dating is one of the most powerful tools for assisting in the determination of the ages and growth rates of these plants. In this work, cores were extracted from large ancient tea trees in a central Longlin rainforest; carbon extraction was performed, and the 14C levels in the tree cores were measured using AMS at GXNU (Chen et al. Reference Chen, Shen, Sasa, Lan, Matsunaka, Matsumura, Takahashi, Hosoya, He and He2019). These measurements indicated that contrary to conventional views, ancient Chinese tea trees appear to commonly reach ages that are rarely attained by any other shrub tree. For the tens of ancient trees sampled, the calibrated age ranges from 300 to 700 years, putting them in the era from the Chinese Qing Dynasty to the Yuan Dynasty. All trees with a diameter at breast height (dbh) >25.0 cm were found to be older than 350 years, and the oldest tree dated by 14C had a dbh of 57.32 cm with an age of 682 years (Table 3).
Data sheet for Chinese ancient tea tree dating.*
* Abbreviations: AD is Anno Domini; BP is before present, i.e., before AD 1950; and 14C years BP is the radiocarbon-dated years before AD 1950.
a The highest probability 2σ range for each sample is given in bold type. The relative areas of 2σ ranges for a radiocarbon date correspond to the 95.4% confidence interval.
b The tree ages were calculated from the calibrated cal BP ages extrapolated (from AD 1950) to AD 2016.
The age versus tree size (diameter at dbh) relationship is plotted in Figure S4 (a), and the tree size is found to be significantly correlated with age (P<0.001). The mean error for the age of ancient tree samples is approximately 40 yr, with a range of 30–50 yr. The age versus growth rate is calculated from the age of the tree center, and the tree diameter is also plotted, as displayed in Figure S4 (b). The mean growth rate is highly correlated with age (P<0.001), but the relationship is nonlinear. With an increase in age, the long-term growth rate decreases slowly before finally reaching a balanced value of approximately 0.039 cm yr–1, which is less than the average growth rate for all trees studied in Figure S4 (a), including the younger known age trees and is a considerably better value for predicting the age of ancient trees with ages >250 yr. Growth rates for tea trees also vary as a function of dbh. For all data combined, the mean growth rate slightly decreases with size up to approximately 20 cm dbh (>250 yr age). Based on this study, we believe that the 14C dating method is effective for determining the lifespan of long-lived trees, such as tea trees, when a given tree is more than 250 years old. The error in the age (30–50 yr) is small enough to determine the estimated lifespan of this species. This study is the first attempt to estimate the mean radial growth rate of ancient Chinese tea trees by applying 14C dating.
Other Applications
The age or retention time of groundwater is closely related to the recharge process of groundwater, which is the embodiment of the exchange of water between aquifers and the external water system, and the process of internal material transport, reflecting the renewability of the aquifer and is also an important indicator of groundwater resource management. The current results show that groundwater dissolved inorganic carbon 14C, with a half-life of 5700 years, is more effective in identifying the age of groundwater formed since 35,000, so it can be used to study the groundwater age for many sedimentary basins. In this work, a new water sample preparation system was developed for accelerator mass spectrometry 14C dating (Qi et al. Reference Qi and Li2021; Shen and Tang et al. Reference Shen, Shi and Tang2022), and a scientific research project based on the determination of groundwater age by AMS in the Xinjiang region, China, was carried out. More than 40 samples were analyzed in the preliminary work, and the age of determination ranged from 3000 to 20,000 years. This study provides a solution for the study of groundwater age and the groundwater pattern environment in a sedimentary basin. Moreover, a special test and analysis of the 14C and 3H content in the graphite hot column of China’s first heavy water research reactor (the 101 reactor) were carried out in cooperation with the CIAE, the result of which provides an essential reference for the design, research, and development of new reactors, new components and new materials in China, as well as the operation management, aging and life evaluation of nuclear facilities and equipment using these materials. These results further confirm the success and reliability of the GXNU-AMS and the measurement method.
Conclusion
GXNU-AMS, the first Chinese homemade single-stage AMS system, is in the steady-operation stage after almost five years of operational and methodology upgrades. Currently, the system measurement accuracy is approximately 0.6%, with a 14C/12C background of ∼3 × 10–15 (approximately 47000 years) and a 3H/H background of ∼1 × 10–16 and has achieved several significant applications in research with local characteristics, including oilfield tracer technology, dating of ancient Chinese tea trees, and dating of groundwater. In the future, GXNU-AMS will follow a fully open and efficient operation mechanism and will be developed into an open AMS facility that serves the nuclear, earth, environmental and life science fields, leading to a highly advanced and accessible scientific research platform in western China.
Acknowledgments
This work was supported by the Central Government Guidance Funds for Local Scientific and Technological Development, China (No. Guike ZY22096024); the Guangxi Natural Science Foundation of China (Nos. 2019GXNSFDA185011 and 2017GXNSFFA198016); the National Natural Science Foundation of China (Nos. 11775057, 11765004, 12065003, and 12164006); and JSPS KAKENHI under Grant No. 21K18622.
SUPPLEMENTARY MATERIAL
To view supplementary material for this article, please visit https://doi.org/10.1017/RDC.2023.31
