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应用梯度扩散薄膜技术评价天然富硒土壤中硒的生物有效性

吴超, 孙彬彬, 陈海杰, 成晓梦, 贺灵, 曾道明

吴超, 孙彬彬, 陈海杰, 成晓梦, 贺灵, 曾道明. 应用梯度扩散薄膜技术评价天然富硒土壤中硒的生物有效性[J]. 岩矿测试, 2022, 41(1): 66-79. DOI: 10.15898/j.cnki.11-2131/td.202109290134
引用本文: 吴超, 孙彬彬, 陈海杰, 成晓梦, 贺灵, 曾道明. 应用梯度扩散薄膜技术评价天然富硒土壤中硒的生物有效性[J]. 岩矿测试, 2022, 41(1): 66-79. DOI: 10.15898/j.cnki.11-2131/td.202109290134
WU Chao, SUN Bin-bin, CHEN Hai-jie, CHENG Xiao-meng, HE Ling, ZENG Dao-ming. Assessment of Selenium Bioavailability in Natural Selenium-rich Soil Based on Diffusive Gradients in Thin Films[J]. Rock and Mineral Analysis, 2022, 41(1): 66-79. DOI: 10.15898/j.cnki.11-2131/td.202109290134
Citation: WU Chao, SUN Bin-bin, CHEN Hai-jie, CHENG Xiao-meng, HE Ling, ZENG Dao-ming. Assessment of Selenium Bioavailability in Natural Selenium-rich Soil Based on Diffusive Gradients in Thin Films[J]. Rock and Mineral Analysis, 2022, 41(1): 66-79. DOI: 10.15898/j.cnki.11-2131/td.202109290134

应用梯度扩散薄膜技术评价天然富硒土壤中硒的生物有效性

基金项目: 

中国地质科学院地球物理地球化学勘查研究所中央财政科研项目结余资金项目 JY201905

中国地质科学院地球物理地球化学勘查研究所中央财政科研项目结余资金项目(JY201905)

详细信息
    作者简介:

    吴超, 硕士, 工程师, 主要研究方向为土地质量地球化学调查。E-mail: wuchao@mail.cgs.gov.cn

    通讯作者:

    孙彬彬, 博士, 高级工程师, 主要研究方向为土地质量地球化学调查。E-mail: sbinbin@mail.cgs.gov.cn

  • 中图分类号: S151.93

Assessment of Selenium Bioavailability in Natural Selenium-rich Soil Based on Diffusive Gradients in Thin Films

  • 摘要: 有效硒是评价土壤中硒对植物供给能力的重要指标,中国目前尚无测定土壤有效硒的统一方法。化学提取法、土壤溶液法常用于测定土壤有效硒含量,但存在缺乏普遍适用提取剂类型、目标态提取不完全和对非目标态溶解等问题。梯度扩散薄膜(DGT)技术是一种基于解离、扩散动力学的有效态测定方法,已有学者将其应用于土壤有效硒的测定并取得良好效果,但是否适用于天然富硒土壤中硒生物有效性评价尚不明确。为探明梯度扩散薄膜技术评价天然富硒土壤中硒生物有效性的可行性,本文以浙江省上墅乡和汾口镇分布的天然富硒土壤为研究对象,实验应用化学提取法、土壤溶液法和DGT技术[包括Fe-oxide(水铁矿型)DGT、Zr-oxide(水合氢氧化锆型)DGT]评价土壤中硒的生物有效性。结果表明:①Fe-oxide DGT测得的有效硒平均含量为0.17±0.076μg/L,Zr-oxide DGT测得的有效硒平均含量为0.20±0.13μg/L。两种类型DGT测得有效硒含量差异不大,但由于Zr-oxide DGT对Se4+具有专性吸附特征,导致Zr-oxide DGT无法有效反映植物体内硒含量水平。对于检测土壤硒生物有效量,Fe-oxide DGT要优于Zr-oxide DGT;②植物体内硒含量Cplant-Se与三种方法测定的有效硒含量均呈显著正相关,但Cplant-Se与Fe-oxide DGT测定的有效硒含量相关系数(r=0.705)大于其他两种方法;③基于DGT技术计算得出的R值(土壤颗粒向土壤溶液补充硒的能力)和Kd值(土壤固相与液相之间的分配系数)表明上墅研究区相较于汾口研究区土壤中硒具有更强的迁移性,但其土壤固相向土壤溶液补充硒离子的速率小于汾口研究区。综上认为,对于评价天然富硒土壤中硒生物有效性而言,DGT方法优于化学提取法和土壤溶液法,在测试性能和反映土壤动力学过程信息方面更具优势。
    要点

    (1) 明确了梯度扩散薄膜(DGT)技术可以有效评价天然富硒土壤中硒生物有效性。

    (2) DGT技术测定土壤有效硒的效果优于化学提取法和土壤溶液法。

    (3) DGT技术相较于化学提取法和土壤溶液法能够反映土壤动力学过程信息。

    HIGHLIGHTS

    (1) The diffusive gradient in thin-films (DGT) technique can be used to efficiently evaluate selenium bioavailability in natural selenium-rich soil.

    (2) The DGT technique is better than chemical extraction and soil solution methods in evaluating selenium bioavailability.

    (3) The DGT technique can be used to reflect the information of the soil dynamics process when compared with chemical extraction and soil solution methods.

  • 斑岩铜矿作为最重要的铜矿类型之一,为世界提供了50%以上的金属铜资源[1]。自斑岩铜矿概念提出后,众多地质矿产学者对斑岩铜矿进行了大量的研究工作。前人在斑岩铜矿形成大地构造背景[2-4]、成矿斑岩特征[3-5]、斑岩铜矿与埃达克岩关系[3-4, 6-7]、斑岩铜矿中金属来源[3, 8]、成矿流体特征[8-9]等方面取得重大成果。研究表明,斑岩型铜(金或钼)成矿体系倾向于出现在线性的、典型的平行造山带中,它们与钙碱性岩基和火山链一起,常产于板块汇聚边缘活动俯冲带之上的岩浆弧中。斑岩铜(金或钼)成矿体系在空间上常与中性-酸性成分的同岩浆来源的钙碱性火山岩相关联。

    乌努格吐山斑岩型铜钼矿床位于额尔古纳—呼伦断裂北西侧(图 1),是中国东北地区最为重要的斑岩型铜钼矿床之一,也是中国探明的第四大铜钼伴生矿床。前人对该矿床的地质特征[10]、成岩成矿年代学[11-19]、岩石地球化学[14, 16-18]、围岩蚀变[20]、矿石矿物特征[20]、稳定同位素[14, 16-18]、流体包裹体[14, 21]等方面开展了大量的工作。其中,对围岩和成矿母岩进行了许多同位素年代学研究,包括绢云母K-Ar和Ar-Ar、全岩Rb-Sr、锆石U-Pb等测年方法。然而,由于前人研究时的采样对象、测试方法、实验室的标准和精度均有区别,所取得的年龄存在较大差异,进而导致对岩石成因和形成背景也存在不同的认识。本文在系统地质调查的基础上,选取了蚀变较弱的赋矿围岩不等粒二长花岗岩和成矿母岩流纹质碎斑熔岩的样品,通过LA(MC)-ICP-MS方法对锆石U-Pb同位素、微量元素和Lu-Hf同位素进行研究,精确限定了赋矿围岩和成矿母岩的形成时代,查明了岩浆岩的成因和源区特征。

    图  1  研究区(a)大地构造位置和(b)地质略图及乌努格吐山斑岩型铜钼矿床地质图(据文献[13-14, 22]修改)
    Figure  1.  Geotectonic location of (a) the research area, and (b) its geological sketch map, and geological map of the Wunugetushan porphyry Cu-Mo deposit (Modified after Reference [13-14, 22])

    乌努格吐山斑岩型铜钼矿床大地构造位置上位于北东向额尔古纳—呼伦断裂的北西侧之额尔古纳地块西部。区域地层由老到新主要为古生代泥盆系,中生代侏罗系、白垩系,以及新生界[14](图 1)。区域构造受额尔古纳—呼伦深断裂的影响,主要构造线为北东向[11, 13]。本区岩浆活动频繁,时代分为海西晚期、燕山早期和燕山晚期,而以燕山早期为最广泛[22]

    矿区地层出露较为简单,主要为泥盆系上统乌奴耳组和第四系全新统,其岩性与区域上基本一致。矿区内岩浆岩较为发育,主要形成于燕山早期和燕山晚期。区域性北东向额尔古纳—呼伦深断裂位于矿区东南约25km处,受其影响,次一级断裂构造十分发育。赋矿围岩和成矿母岩的成岩时代及岩石成因研究可以对成矿作用有所启示。

    在系统野外地质调查的基础上,结合前人在该地区的岩浆岩研究成果,选择赋矿围岩不等粒二长花岗岩(WS05)和成矿母岩流纹质碎斑熔岩(WS02)进行锆石U-Pb同位素和Hf同位素进行研究,所选取的样品较为新鲜且蚀变较弱,采样位置具体见图 1

    不等粒二长花岗岩(WS05)手标本呈显浅灰色,具不等粒花岗结构,块状构造;岩石蚀变较弱,以绿泥石化为主,并发生较弱的矿化(图 2中a、b)。主要组成矿物为斜长石、钾长石、石英,黑云母仅保留假像。斜长石约占35%~45%,呈半自形-近半自形板状,粒径为0.2~2.0mm;聚片双晶多较细密平直,为更长石,可见交代港湾结构等;常发育绢云母化、高岭土化等。钾长石约占35%,呈近半自形板状-他形粒状,为正长石;粒径为2~5mm,常呈杂乱状或填隙状分布,具高岭土化;粒内常见斜长石和黑云母嵌布,交代斜长石。石英约占25%,呈他形粒状,粒内具波状、斑块状消光;呈填隙状分布于长石粒间,直径小于5.0mm,常见集合体呈堆状聚集分布。黑云母约占3~5%,直径小于3.0mm,常呈叶片状零散分布,有的嵌布于钾长石粒内;发生绢云母和白云母化后常呈假像。岩石内偶见裂隙、细脉、锥状集合体发育,主要被石英、白云石、钾长石、白云母、黄铁矿、黄铜矿等矿物充填。

    图  2  矿区围岩及成矿母岩野外与显微照片
    Figure  2.  Field photos and hand specimen photograph of the surrounding rock and ore-forming parent rock

    流纹质碎斑熔岩(WS02)手标本显浅灰色,主要为斑结构-基质霏细结构,具块状构造(图 2中c、d)。其中斑晶约占40%,基质约占60%。斑晶由长石、石英、暗色矿物构成,其中长石和暗色矿物常发生蚀变而呈假象;粒径一般0.1~4.5mm,略显方向性排列。长石多呈半自形-近半自形板状,较少量显棱角状、尖棱角状等,具绢云母化、少量石英化等主呈假像,局部见少量斜长石、钾长石残留,含量35%~40%。石英多呈自形-半自形粒状,较少量显棱角状、尖棱角状,有的具熔蚀特征,含量约15%。暗色矿物具绢云母化、白云母化等,主呈黑云母假像,少量似角闪石假像,含量3%~5%。基质主由长英质构成。长英质具霏细结构,颗粒细小,粒径一般<0.01mm,少量0.01~0.03mm,略具定向特征,具较明显绢云母化,含量约45%。岩内较多见由石英、白云石、黄铁矿、黄铜矿、少量闪锌矿、白云母等充填的细脉及裂隙,另见较少量黄铁矿、黄铜矿呈星散状交代岩石。

    锆石的分选、制靶及透反射和阴极发光(CL)由河北省区域地质调查院实验室完成,样品经常规粉碎、磁选和重选,选出高纯度锆石,在双目镜下经人工挑选出纯度在99%以上的锆石。将挑选好的锆石粘贴在环氧树脂表面,打磨抛光后露出锆石的表面,制成靶样。

    锆石U-Pb年龄测试在北京锆年领航科技有限公司完成。分析仪器为Finnigan Neptune型MC-ICP MS及配套的New Wave UP213激光剥蚀系统,采用激光剥蚀多接收电感耦合等离子体质谱法(MC-ICP-MS)对锆石进行U-Pb同位素分析。激光剥蚀束斑直径为25μm,剥蚀深度为20~40μm,能量密度为13~14J/cm2,频率为10Hz,激光剥蚀物以氦为载气进入Neptune,利用动态变焦扩大色散可以同时接收质量数相差较大的U-Pb同位素。采用Plešovice(年龄为337±0.37Ma)[23]作为外标样进行基体校正,普通铅校正采用ComPbCorr#3.17校正程序[24]。信号较小的207Pb、206Pb、204Pb(+204Hg)、202Hg用离子计数器(multi-ion-counters)接收,208Pb、232Th、238U信号用法拉第杯接收,实现了所有目标同位素信号的同时接受。对采集的数据采用中国地质大学(武汉)刘勇胜博士研发的ICP-MS DataCal程序和Kenneth R.Ludwig的Isoplot程序进行处理,并绘制谐和图等图件,置信度为95%。详细的仪器操作条件和数据处理方法见文献[25]。

    锆石Hf同位素测试在北京锆年领航科技有限公司完成。锆石Hf同位素分析测试工作通过激光剥蚀电感耦合等离子体质谱法(LA-ICP-MS)进行。激光剥蚀系统为美国NewWave公司生产的UP193FX型193nm ArF准分子系统,激光器来自于德国ATL公司,ICP-MS仪器型号为Agilent 7500a。激光器波长为193nm,脉冲宽度 < 4ns,束斑直径为35μm。采用锆石标样91500[176Hf/177Hf=0.282308±12(2σ)]作为外标样进行基体校正[26]。Hf的地幔模式年龄计算中,亏损地幔176Hf/177Hf值现在值采用0.28325,176Lu/177Hf值采用0.0384[27],地壳模式年龄计算时采用平均地壳的176Lu/177Hf=0.015[28]。数据计算和处理采用ICP-MS DataCal程序完成[25]

    用于测试的锆石自形程度较好,多为长柱状,整体较完整,发育震荡环带,具岩浆成因特征[29]。选择不发育裂隙和包裹体的锆石进行年龄测试,在发育震荡环带的位置测试(图 3中a、c)。

    图  3  矿区围岩及成矿母岩锆石CL图像及年龄图
    Figure  3.  Zircon CL images and age maps of surrounding rocks and ore-forming parent rocks in the mining area

    弱矿化蚀变不等粒二长花岗岩(WS05)锆石Pb含量为8.17×10-6~105.40×10-6,Th含量为60.44×10-6~988.45×10-6,U含量为177.56×10-6~2090.24×10-6;矿化蚀变流纹质碎斑熔岩(WS02)锆石Pb含量为6.63×10-6~38.32×10-6,Th含量为90.78×10-6~701.01×10-6,U含量为106.28×10-6~575.53×10-6(表 1)。Th/U比值均大于0.1,为岩浆成因锆石[30-31]。样品U-Pb年龄<1.0Ga,因而采用锆石206Pb/238U年龄[32]。WS05样品锆石206Pb/238U年龄值为197.19±1.32~203.63±1.38Ma,加权平均值为200.96±0.88Ma,MSWD=3.0(图 3b);WS02样品锆石206Pb/238U年龄值为175.31±1.46~183.89±1.29Ma,加权平均值为179.58±0.91Ma,MSWD=2.7(图 3d)。表明两类岩体均形成于早侏罗世。

    表  1  乌努格吐山岩体LA-MC-ICP-MS锆石U-Pb同位素分析结果
    Table  1.  LA-MC-ICP-MS zircon U-Pb isotopic analysis of the Wunugetushan rocks
    样品名 元素含量(×10-6) Th/U 元素比值 年龄(Ma)
    Pb Th U 207Pb/206Pb 1σ 207Pb/235U 1σ 206Pb/238U 1σ 207Pb/206Pb 1σ 207Pb/235U 1σ 206Pb/238U 1σ
    WS02-1 6.63 99.33 106.28 0.93 0.054800689 0.002451556 0.21777954 0.009825907 0.028920427 0.0002901 466.71 99.99 200.06 8.19 183.79 1.82
    WS02-2 21.18 360.70 357.46 1.01 0.052139056 0.001611966 0.19929428 0.005904684 0.027904962 0.0002414 300.06 70.36 184.53 5.00 177.42 1.51
    WS02-3 9.71 127.12 187.62 0.68 0.053187486 0.001725981 0.20737534 0.006527215 0.028589719 0.0002581 344.50 74.07 191.35 5.49 181.72 1.62
    WS02-4 23.29 335.12 435.58 0.77 0.0523526 0.001072423 0.2014723 0.00400281 0.028002268 0.0001724 301.91 46.29 186.37 3.38 178.03 1.08
    WS02-5 8.61 90.78 183.57 0.49 0.055145614 0.001930204 0.21747196 0.007653397 0.028658462 0.0002537 416.72 77.77 199.80 6.38 182.15 1.59
    WS02-6 20.64 291.00 376.00 0.77 0.054660963 0.001447771 0.2124608 0.005765492 0.028240433 0.0002631 398.20 59.25 195.62 4.83 179.53 1.65
    WS02-8 8.18 135.96 138.07 0.98 0.054630817 0.002674734 0.20791517 0.009586314 0.028118499 0.0003531 398.20 109.25 191.80 8.06 178.76 2.21
    WS02-9 26.43 382.25 491.17 0.78 0.052954664 0.000994737 0.20600679 0.003891296 0.028261949 0.000183 327.84 42.59 190.20 3.28 179.66 1.15
    WS02-10 10.38 130.90 207.45 0.63 0.049377333 0.001784532 0.18873552 0.006546347 0.027953044 0.0002377 164.90 87.95 175.55 5.59 177.72 1.49
    WS02-11 22.22 300.23 410.94 0.73 0.052497602 0.001023893 0.20769834 0.004161734 0.028732664 0.0001882 305.62 44.44 191.62 3.50 182.61 1.18
    WS02-12 38.32 701.01 575.53 1.22 0.050521629 0.000821741 0.19443142 0.003348741 0.027897904 0.0001672 220.44 34.25 180.40 2.85 177.38 1.05
    WS02-13 15.41 248.04 256.19 0.97 0.050553309 0.001345129 0.19415114 0.005059312 0.02803746 0.0002147 220.44 56.47 180.17 4.30 178.25 1.35
    WS02-14 16.30 256.91 298.04 0.86 0.050617744 0.001296767 0.19604288 0.004959068 0.028254753 0.0002041 233.40 59.25 181.77 4.21 179.62 1.28
    WS02-15 9.86 128.93 197.58 0.65 0.053200153 0.001778239 0.20301776 0.006439848 0.027963384 0.0002068 344.50 75.92 187.68 5.44 177.79 1.30
    WS02-16 11.93 159.19 228.39 0.70 0.051343842 0.001688606 0.20303925 0.006728144 0.028755703 0.0002669 257.47 71.29 187.69 5.68 182.76 1.67
    WS02-17 23.68 362.75 419.53 0.86 0.054711601 0.001166784 0.21235292 0.00470457 0.028205027 0.0002095 466.71 50.92 195.53 3.94 179.30 1.31
    WS02-18 10.80 134.97 212.47 0.64 0.055085188 0.00186445 0.21549537 0.007139035 0.028663977 0.0002485 416.72 80.55 198.15 5.96 182.18 1.56
    WS02-19 22.29 417.16 350.97 1.19 0.051618269 0.002041641 0.19860798 0.007722468 0.02798546 0.0002789 333.39 95.36 183.95 6.54 177.93 1.75
    WS02-21 28.22 505.10 401.58 1.26 0.053629164 0.001209577 0.20969736 0.004457275 0.028636014 0.0002611 353.76 51.85 193.30 3.74 182.01 1.64
    WS02-22 13.76 199.73 247.98 0.81 0.050498539 0.001704943 0.19981518 0.007007338 0.028780503 0.0003232 216.74 47.22 184.97 5.93 182.91 2.03
    WS02-23 15.67 233.95 279.27 0.84 0.053609854 0.001945143 0.20426492 0.006872007 0.027979173 0.0002475 353.76 50.92 188.73 5.79 177.89 1.55
    WS02-24 12.13 155.47 242.85 0.64 0.048139881 0.001435921 0.18517718 0.005419974 0.028059585 0.0002194 105.65 70.37 172.51 4.64 178.39 1.38
    WS02-25 21.94 294.47 456.44 0.65 0.05015908 0.001703097 0.18973048 0.006066855 0.027568544 0.0002324 211.19 79.62 176.40 5.18 175.31 1.46
    WS02-26 11.03 202.63 163.39 1.24 0.048642808 0.001868937 0.18622353 0.007027353 0.028034949 0.0002515 131.57 90.73 173.40 6.02 178.24 1.58
    WS02-27 18.79 270.47 307.16 0.88 0.0592801 0.001671102 0.23539905 0.006493675 0.02893611 0.0002062 575.96 58.32 214.65 5.34 183.89 1.29
    WS02-28 15.65 205.15 290.46 0.71 0.050701322 0.001279128 0.20087159 0.005146519 0.028781368 0.0002166 227.85 57.40 185.86 4.35 182.92 1.36
    WS02-29 17.27 254.50 308.03 0.83 0.051600767 0.001357782 0.19851122 0.005220095 0.028089674 0.0002205 333.39 61.10 183.87 4.42 178.58 1.38
    WS02-30 15.90 246.27 276.75 0.89 0.051720434 0.001294036 0.19826738 0.004938912 0.027877092 0.0001995 272.29 57.40 183.66 4.19 177.25 1.25
    WS05-1 64.67 982.05 957.01 1.03 0.049821594 0.000679027 0.21445247 0.003309532 0.031186237 0.0002163 187.12 31.48 197.28 2.77 197.97 1.35
    WS05-2 57.13 549.94 1168.26 0.47 0.051369046 0.00067504 0.22227668 0.003450735 0.031302054 0.0002225 257.47 29.63 203.80 2.87 198.69 1.39
    WS05-3 47.18 434.72 1006.50 0.43 0.0506981 0.000730666 0.2174262 0.003523028 0.031061297 0.0002109 227.85 33.33 199.77 2.94 197.19 1.32
    WS05-4 34.20 444.49 539.30 0.82 0.050076452 0.00089561 0.21978911 0.003838643 0.031905458 0.0002253 198.23 36.10 201.73 3.20 202.46 1.41
    WS05-5 27.24 293.62 512.29 0.57 0.050704918 0.000898261 0.2223234 0.004083565 0.03180311 0.0002221 227.85 73.14 203.84 3.39 201.82 1.39
    WS05-6 36.62 406.81 627.91 0.65 0.053227511 0.000811598 0.23413474 0.003583162 0.031928406 0.0001706 338.95 35.18 213.61 2.95 202.61 1.07
    WS05-7 83.00 979.16 1509.58 0.65 0.050594466 0.00081154 0.21775243 0.003377792 0.031220547 0.0001736 233.40 37.03 200.04 2.82 198.18 1.09
    WS05-8 32.42 390.91 580.70 0.67 0.050650678 0.000990998 0.21692246 0.004238077 0.031130835 0.000211 233.40 72.21 199.35 3.54 197.62 1.32
    WS05-9 29.94 328.98 562.17 0.59 0.052125927 0.000943859 0.22710559 0.004118635 0.031673079 0.0002015 300.06 40.74 207.81 3.41 201.01 1.26
    WS05-11 44.07 450.63 852.34 0.53 0.050493385 0.000603843 0.22279877 0.002627975 0.03205128 0.000192 216.74 32.40 204.24 2.18 203.37 1.20
    WS05-12 11.55 105.13 237.06 0.44 0.051080959 0.001477309 0.22439572 0.00633483 0.032046799 0.0002526 242.66 66.66 205.56 5.25 203.35 1.58
    WS05-14 42.65 589.47 697.76 0.84 0.05127644 0.001010592 0.22059852 0.004252904 0.031231933 0.000197 253.77 46.29 202.41 3.54 198.25 1.23
    WS05-15 39.70 446.39 683.49 0.65 0.052426052 0.001056312 0.23066064 0.004658531 0.031933659 0.0002448 305.62 46.29 210.74 3.84 202.64 1.53
    WS05-16 30.83 351.35 540.24 0.65 0.05575571 0.001034747 0.24554158 0.004129216 0.032092859 0.0002217 442.64 8.33 222.95 3.37 203.63 1.38
    WS05-17 31.36 393.76 522.41 0.75 0.050483307 0.001147105 0.22167031 0.004880911 0.031926872 0.0002473 216.74 84.25 203.30 4.06 202.60 1.54
    WS05-18 105.40 988.45 2090.24 0.47 0.055715982 0.000922293 0.2396987 0.003938731 0.031188268 0.0002232 442.64 4.63 218.17 3.23 197.98 1.40
    WS05-19 41.50 594.60 650.78 0.91 0.052764976 0.000837416 0.22901688 0.00383827 0.031430675 0.0001724 320.43 35.18 209.39 3.17 199.50 1.08
    WS05-20 32.81 439.05 545.05 0.81 0.050598044 0.001078644 0.22137187 0.004978527 0.031761313 0.0002199 233.40 80.54 203.05 4.14 201.56 1.37
    WS05-21 35.38 283.00 748.80 0.38 0.053983443 0.000743583 0.23800768 0.003481432 0.031971686 0.0002069 368.57 63.88 216.79 2.86 202.88 1.29
    WS05-22 28.57 328.62 500.85 0.66 0.050519726 0.001050105 0.22322756 0.004803931 0.032029526 0.0002293 220.44 48.14 204.59 3.99 203.24 1.43
    WS05-23 42.59 608.47 643.73 0.95 0.049834093 0.000955096 0.22053286 0.004450034 0.032048558 0.0002182 187.12 44.44 202.35 3.70 203.36 1.36
    WS05-24 8.17 60.44 177.56 0.34 0.052461445 0.001898692 0.22941335 0.00798765 0.032038934 0.0002929 305.62 83.33 209.71 6.60 203.30 1.83
    WS05-25 24.90 213.14 529.34 0.40 0.053206234 0.000909342 0.23360332 0.004100044 0.031832937 0.0002027 344.50 38.89 213.17 3.37 202.01 1.27
    WS05-26 30.48 333.52 561.03 0.59 0.050610366 0.00098056 0.22392893 0.004444282 0.032039082 0.0001895 233.40 78.69 205.17 3.69 203.30 1.18
    WS05-27 42.92 359.80 939.57 0.38 0.053112655 0.000673233 0.23125454 0.003331502 0.031536009 0.0002358 344.50 27.78 211.23 2.75 200.15 1.47
    WS05-28 24.77 245.33 487.82 0.50 0.05240212 0.001044812 0.23207116 0.004988243 0.032062634 0.0002458 301.91 44.44 211.91 4.11 203.44 1.54
    WS05-29 88.23 961.68 1634.70 0.59 0.051403159 0.000521454 0.22632576 0.00277416 0.03194678 0.0002878 257.47 24.07 207.16 2.30 202.72 1.80
    WS05-30 45.76 621.40 772.57 0.80 0.050900004 0.00083911 0.21961879 0.00358115 0.03129567 0.0001579 235.25 37.03 201.59 2.98 198.65 0.99
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    两类岩体锆石的稀土含量较高,弱矿化蚀变不等粒二长花岗岩(WS05)的ΣREE为1036.03×10-6~3489.37×10-6,轻稀土LREE含量为13.76×10-6~158.11×10-6,重稀土HREE含量为1022.28×10-6~3415.31×10-6,轻/重稀土比值为0.01~0.09;矿化蚀变流纹质碎斑熔岩(WS02)的ΣREE为579.83×10-6~1110.14×10-6(表 2),轻稀土LREE含量为28.83×10-6~85.54×10-6,重稀土HREE含量为535.47×10-6~1049.04×10-6,轻/重稀土比值为0.05~0.11。轻重稀土分异程度较高,具岩浆锆石稀土元素特征[33-35]。WS05样品锆石δEu值为0.13~0.38,WS02样品δEu值为0.39~0.67,具负异常;WS05样品锆石δCe值为1.57~476.84,WS02样品δCe值为10.48~1613.59,具强正异常,与典型热液锆石差异较大[36]。两类岩体锆石稀土配分曲线具左倾特征,轻稀土亏损、重稀土富集,具岩浆锆石特征(图 4)。

    表  2  锆石稀土元素(×10-6)组成
    Table  2.  REE element (×10-6) compositions of the zircons
    样品编号 La Ce Pr Nd Sm Eu Gd Tb Dy Ho Er Tm Yb Lu Y ΣREE LREE HREE LREE/HREE δEu δCe
    WS05-1 0.009 30.818 0.109 2.207 5.808 1.336 37.462 14.819 189.182 78.302 365.255 82.336 775.232 155.907 2317.566 1738.78 40.29 1698.50 0.02 0.28 243.55
    WS05-2 0.136 31.651 0.383 3.864 6.669 0.940 38.640 16.064 209.545 91.003 450.613 107.613 1082.980 229.910 2788.147 2270.01 43.64 2226.37 0.02 0.18 33.96
    WS05-4 0.033 26.488 0.276 4.746 10.352 3.109 61.401 22.084 281.410 113.924 528.866 118.980 1130.763 227.279 3457.657 2529.71 45.00 2484.71 0.02 0.38 68.45
    WS05-5 1.985 26.801 0.971 5.922 5.631 1.404 38.216 15.136 206.981 89.074 430.765 100.296 995.993 206.695 2738.920 2125.87 42.71 2083.16 0.02 0.29 4.73
    WS05-6 7.588 48.479 4.041 22.978 9.309 1.237 35.817 12.572 166.430 71.866 347.266 81.181 817.296 167.611 2167.755 1793.67 93.63 1700.04 0.06 0.21 2.15
    WS05-7 0.410 34.403 0.259 2.745 5.160 0.656 36.139 14.704 194.596 81.371 391.476 88.285 871.715 179.856 2485.255 1901.77 43.63 1858.14 0.02 0.15 25.90
    WS05-8 0.071 26.437 0.180 3.754 6.534 1.671 45.710 17.406 241.011 104.037 496.093 114.322 1096.435 226.859 3098.375 2380.52 38.65 2341.87 0.02 0.30 57.53
    WS05-9 0.634 19.833 0.405 4.501 6.978 1.302 43.246 15.843 207.008 86.747 414.299 94.644 940.131 191.090 2642.584 2026.66 33.65 1993.01 0.02 0.23 9.60
    WS05-11 0.132 22.938 0.122 1.732 3.547 0.468 29.152 11.791 165.304 72.780 361.164 85.935 859.033 177.858 2241.112 1791.96 28.94 1763.02 0.02 0.14 44.37
    WS05-12 0.004 8.790 0.057 1.131 3.136 0.640 19.128 7.017 97.977 41.175 206.170 48.490 497.626 104.694 1221.775 1036.03 13.76 1022.28 0.01 0.25 138.94
    WS05-14 0.009 32.244 0.147 2.820 7.772 2.330 55.584 21.225 286.814 119.502 561.039 124.996 1187.688 245.743 3612.210 2647.91 45.32 2602.59 0.02 0.34 212.89
    WS05-15 21.426 79.810 7.266 36.278 11.865 1.461 39.927 13.963 180.198 75.958 375.290 87.983 872.939 179.036 2355.693 1983.40 158.11 1825.29 0.09 0.21 1.57
    WS05-16 0.293 20.491 0.259 4.083 8.775 1.680 49.344 17.701 216.112 87.518 406.557 90.786 878.944 176.341 2581.778 1958.88 35.58 1923.30 0.02 0.25 18.24
    WS05-17 0.010 21.905 0.154 2.594 6.575 1.483 39.647 15.071 197.835 83.773 397.977 91.152 885.319 176.519 2547.626 1920.01 32.72 1887.29 0.02 0.28 133.88
    WS05-18 0.236 45.705 0.646 6.351 8.428 0.844 47.397 19.589 265.616 113.368 545.382 128.379 1250.060 255.596 3519.237 2687.60 62.21 2625.39 0.02 0.13 28.68
    WS05-19 0.106 31.726 0.695 12.497 23.102 5.938 113.735 37.357 433.393 165.370 720.022 158.983 1491.171 295.277 4901.935 3489.37 74.06 3415.31 0.02 0.35 28.69
    WS05-20 0.018 21.968 0.154 2.858 6.418 1.727 45.681 17.085 223.461 92.612 432.575 100.645 974.587 198.240 2787.431 2118.03 33.14 2084.89 0.02 0.31 103.06
    WS05-21 0.004 21.146 0.046 1.445 3.019 0.626 24.090 10.259 142.687 63.075 325.911 77.391 790.708 167.260 1970.759 1627.67 26.29 1601.38 0.02 0.22 407.07
    WS05-22 0.009 21.816 0.142 3.198 6.343 1.554 41.438 15.424 207.699 87.686 414.011 96.134 937.960 194.215 2622.130 2027.63 33.06 1994.57 0.02 0.29 151.73
    WS05-23 0.003 22.911 0.098 1.891 3.940 1.176 29.171 11.371 149.383 61.629 293.179 65.118 632.896 128.904 1849.730 1401.67 30.02 1371.65 0.02 0.34 316.29
    WS05-25 0.002 16.515 0.045 1.028 3.357 0.484 23.728 10.029 137.925 61.334 312.802 75.410 763.433 161.320 1887.306 1567.41 21.43 1545.98 0.01 0.17 393.39
    WS05-26 1.008 24.326 0.398 2.601 4.114 0.720 25.298 9.861 133.470 56.062 278.105 65.256 647.789 133.518 1756.502 1382.53 33.17 1349.36 0.02 0.22 9.41
    WS05-27 0.092 25.471 0.132 1.488 3.234 0.412 22.485 9.565 134.435 59.983 305.314 76.238 761.997 161.823 1859.903 1562.67 30.83 1531.84 0.02 0.15 56.82
    WS05-28 0.003 18.423 0.075 1.262 3.754 0.691 25.768 9.865 134.315 59.939 296.515 71.285 712.008 147.629 1821.177 1481.53 24.21 1457.32 0.02 0.21 300.82
    WS05-29 0.004 35.127 0.083 1.768 4.805 0.560 36.981 14.534 195.832 83.381 406.337 94.943 902.927 182.187 2596.732 1959.47 42.35 1917.12 0.02 0.13 476.84
    WS05-30 0.036 28.599 0.176 3.424 7.606 1.394 51.304 19.131 240.823 97.181 453.263 101.128 968.755 193.054 2897.227 2165.87 41.24 2124.64 0.02 0.22 88.05
    WS02-1 0.012 34.124 0.201 3.717 7.501 2.472 33.922 10.145 110.736 40.545 175.905 38.370 354.954 72.500 1190.890 885.10 48.03 837.08 0.06 0.47 171.62
    WS02-2 0.004 47.559 0.028 0.832 1.807 0.754 11.337 3.437 45.540 19.866 103.023 26.165 283.910 69.933 671.635 614.20 50.98 563.21 0.09 0.51 1098.02
    WS02-3 0.036 38.471 0.057 1.129 1.884 0.852 13.736 4.517 57.026 24.387 123.912 31.368 334.975 77.953 794.007 710.30 42.43 667.87 0.06 0.51 208.54
    WS02-4 0.012 50.641 0.028 0.917 2.720 1.204 23.208 8.413 108.997 44.986 213.779 49.899 493.407 105.741 1389.597 1103.95 55.52 1048.43 0.05 0.46 663.38
    WS02-5 0.028 25.975 0.035 0.491 1.696 0.609 9.999 3.803 50.945 22.719 116.668 30.012 320.913 76.685 716.429 660.58 28.83 631.74 0.05 0.45 204.19
    WS02-6 0.002 39.230 0.043 1.074 1.639 0.847 14.867 5.382 65.972 26.461 127.859 29.241 297.651 61.893 825.531 672.16 42.83 629.32 0.07 0.52 1165.23
    WS02-8 0.022 49.184 0.100 1.682 4.625 1.492 25.052 8.713 107.265 41.207 186.206 42.565 411.247 85.181 1270.296 964.54 57.11 907.44 0.06 0.42 255.34
    WS02-10 0.037 39.545 0.062 0.682 1.360 0.751 9.690 3.256 44.980 21.913 123.529 33.255 385.436 97.691 775.348 762.19 42.44 719.75 0.06 0.63 201.55
    WS02-11 0.021 50.670 0.048 0.923 3.155 1.071 21.971 7.807 103.572 42.221 202.132 45.845 453.713 95.438 1281.416 1028.59 55.89 972.70 0.06 0.39 393.96
    WS02-12 0.058 79.046 0.052 1.273 3.551 1.560 23.297 8.214 102.291 40.931 194.555 45.875 471.126 105.613 1292.794 1077.44 85.54 991.90 0.09 0.52 351.83
    WS02-13 0.007 41.369 0.031 0.585 1.481 0.882 10.855 3.720 45.719 19.385 103.144 24.923 266.428 61.299 660.738 579.83 44.36 535.47 0.08 0.67 678.70
    WS02-14 0.090 42.582 0.057 0.907 2.388 0.960 15.585 5.242 67.882 29.502 146.837 35.601 377.324 83.402 952.952 808.36 46.98 761.37 0.06 0.48 145.43
    WS02-15 0.001 36.232 0.025 0.652 1.487 0.687 10.554 3.614 47.289 21.155 108.615 27.361 292.008 67.054 706.786 616.73 39.08 577.65 0.07 0.53 1613.59
    WS02-16 0.006 34.544 0.034 0.576 1.889 0.791 11.415 3.799 49.643 20.958 111.258 28.462 308.290 73.409 720.434 645.07 37.84 607.23 0.06 0.52 592.69
    WS02-17 0.019 55.315 0.094 1.178 3.093 1.401 22.447 8.198 105.758 43.429 211.144 49.744 502.611 105.706 1372.515 1110.14 61.10 1049.04 0.06 0.51 317.77
    WS02-18 0.114 33.968 0.085 0.792 2.304 0.919 14.432 5.286 72.123 29.318 141.600 33.361 341.146 71.884 906.553 747.33 38.18 709.15 0.05 0.49 84.73
    WS02-21 3.329 70.750 0.675 4.084 2.962 1.097 16.614 5.693 71.338 29.382 145.671 35.768 374.958 86.700 942.341 849.02 82.90 766.12 0.11 0.48 11.57
    WS02-22 0.016 34.745 0.029 0.489 1.662 0.649 11.137 3.800 52.177 22.416 116.877 28.201 305.484 70.054 710.722 647.73 37.59 610.14 0.06 0.46 403.25
    WS02-23 0.107 62.564 0.076 1.118 2.358 1.186 17.166 6.850 88.307 38.545 193.851 47.299 498.511 118.403 1243.373 1076.34 67.41 1008.93 0.07 0.57 170.98
    WS02-24 2.004 48.432 0.640 3.362 2.621 0.843 14.286 5.148 70.194 31.348 160.890 41.314 434.070 97.581 1022.773 912.73 57.90 854.83 0.07 0.42 10.48
    WS02-26 0.005 46.151 0.095 1.871 5.035 1.709 25.118 7.616 91.112 34.882 155.620 35.799 330.432 66.691 1025.318 802.14 54.87 747.27 0.07 0.46 517.34
    WS02-27 2.028 56.031 0.752 4.134 4.097 1.387 22.082 7.776 94.715 39.040 181.422 42.463 422.544 89.574 1187.650 968.05 68.43 899.62 0.08 0.45 11.12
    WS02-28 0.008 47.547 0.023 0.658 2.307 0.831 14.808 5.122 69.094 31.174 158.314 38.944 424.423 95.861 1005.799 889.11 51.37 837.74 0.06 0.43 873.10
    WS02-29 0.032 49.428 0.052 0.873 2.233 1.023 17.366 6.285 84.980 36.660 184.098 44.561 457.590 101.390 1191.673 986.57 53.64 932.93 0.06 0.50 297.46
    WS02-30 0.004 59.507 0.064 0.916 2.714 1.230 17.426 6.273 80.858 35.278 178.230 44.319 468.570 107.968 1157.665 1003.36 64.43 938.92 0.07 0.55 961.76
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    图  4  稀土元素球粒陨石标准化配分型式(标准化数据据文献[38])
    Figure  4.  Chondrite-normalized REE patterns (Normalization values after Reference [38])

    弱矿化蚀变不等粒二长花岗岩(WS05)、矿化蚀变流纹质碎斑熔岩(WS02)锆石176Lu/177Hf比值分别为0.001688~0.003588、0.000831~0.001292,176Lu/177Hf比值均较小,表明锆石在形成后,仅具有少量的放射性成因Hf积累,因而可以用初始176Hf/177Hf比值代表形成时的Hf同位素组成[37]176Hf/177Hf初始比值和εHf(t)值根据同一锆石U-Pb测年数据计算;二阶段模式年龄(TDMC)根据亏损幔源计算[27]。测定结果显示,WS05锆石Hf同位素176Hf/177Hf比值为0.282659~0.282820(表 3),176Yb/177Hf比值为0.099606~0.046370,fLu/Hf为-0.95~-0.89,锆石εHf(0)为-4.0~-0.7,εHf(t)为0.1~5.8(图 5);WS02锆石Hf同位素176Hf/177Hf比值为0.282783~0.282850,176Yb/177Hf比值为0.020042~0.035646,fLu/Hf为-0.97~-0.96,锆石εHf(0)为0.4~2.8,εHf(t)为4.3~6.6(图 6)。WS05锆石Hf单阶段模式年龄(TDM)为643~882Ma,二阶段模式年龄(TDMC)为874~1235Ma;WS02锆石Hf单阶段模式年龄(TDM)为570~663Ma,二阶段模式年龄(TDMC)为802~952Ma。

    表  3  乌努格吐山岩体LA-ICP-MS锆石Lu-Hf同位素分析结果
    Table  3.  LA-ICP-MS Zircon Lu-Hf isotopic analysis of Wunugetushan rocks
    样品编号 年龄(Ma) 176Yb/177Hf 176Lu/177Hf 176Hf/177Hf εHf(0) εHf(t) TDM (Ma) TDMC(Ma) fLu/Hf
    WS02-001 183.79 0.035646 0.001292 0.282829 2.0 5.9 604 850 -0.96
    WS02-002 181.72 0.022735 0.000914 0.282783 0.4 4.3 663 952 -0.97
    WS02-003 178.76 0.023283 0.000875 0.282837 2.3 6.1 587 833 -0.97
    WS02-004 177.72 0.024778 0.000996 0.282818 1.6 5.4 616 878 -0.97
    WS02-005 177.38 0.030802 0.001225 0.282803 1.1 4.8 641 914 -0.96
    WS02-006 178.25 0.022562 0.000964 0.282825 1.9 5.7 604 860 -0.97
    WS02-007 179.62 0.020253 0.000831 0.282831 2.1 5.9 595 846 -0.97
    WS02-008 177.79 0.026337 0.001096 0.282842 2.5 6.3 582 822 -0.97
    WS02-009 182.76 0.022090 0.000917 0.282804 1.1 5.0 634 905 -0.97
    WS02-010 182.18 0.026716 0.000988 0.282850 2.8 6.6 570 802 -0.97
    WS02-011 182.91 0.023562 0.000917 0.282834 2.2 6.1 591 837 -0.97
    WS02-012 177.89 0.020042 0.000854 0.282819 1.7 5.5 611 873 -0.97
    WS02-013 178.39 0.026401 0.001009 0.282829 2.0 5.8 599 851 -0.97
    WS02-014 178.24 0.024919 0.000902 0.282803 1.1 4.9 634 909 -0.97
    WS02-015 178.58 0.027675 0.001052 0.282809 1.3 5.1 629 897 -0.97
    WS02-016 177.25 0.025114 0.001094 0.282813 1.5 5.2 623 888 -0.97
    WS05-001 197.97 0.067606 0.002426 0.282738 -1.2 2.8 756 1057 -0.93
    WS05-002 197.19 0.060028 0.002184 0.282694 -2.8 1.3 816 1155 -0.93
    WS05-003 201.82 0.073935 0.002745 0.282820 1.7 5.8 643 874 -0.92
    WS05-004 202.61 0.059110 0.002155 0.282728 -1.5 2.6 765 1074 -0.94
    WS05-005 197.62 0.067911 0.002509 0.282731 -1.4 2.6 768 1073 -0.92
    WS05-006 201.01 0.052678 0.002027 0.282712 -2.1 2.0 786 1110 -0.94
    WS05-007 203.37 0.046370 0.001688 0.282703 -2.4 1.8 792 1127 -0.95
    WS05-008 199.5 0.099606 0.003588 0.282743 -1.0 2.9 775 1055 -0.89
    WS05-009 201.56 0.047960 0.001782 0.282714 -2.0 2.1 778 1103 -0.95
    WS05-010 202.88 0.058686 0.002184 0.282702 -2.5 1.7 805 1135 -0.93
    WS05-011 202.01 0.059888 0.002143 0.282712 -2.1 2.0 789 1111 -0.94
    WS05-012 203.3 0.077946 0.002817 0.282659 -4.0 0.1 882 1235 -0.92
    WS05-013 200.15 0.056164 0.002059 0.282711 -2.1 2.0 788 1113 -0.94
    WS05-014 202.72 0.085910 0.003052 0.282701 -2.5 1.5 825 1143 -0.91
    WS05-015 198.65 0.091676 0.003159 0.282751 -0.7 3.2 753 1034 -0.90
    注:εHf(t)=10000×{[(176Hf/177Hf)S-(176Lu/177Hf)S×(eλt-1)]/[(176Hf/177Hf)CHUR0-(176Lu/177Hf)CHUR×(eλt-1)]-1};
    TDM=1/λ×ln{1 +[(176Hf/177Hf)S-(176Hf/177Hf)DM]/[(176Hf/177Hf)S-(176Hf/177Hf)DM]};
    TDMC=TDM-(TDM-t)×[(fcc-fs)/(fcc-fDM)],fLu/Hf=(176Lu/177Hf)S/(176Lu/177Hf)CHUR-1。
    其中:λ=1.867×10-11/a[41];(176Lu/177Hf)S和(176Hf/177Hf)S为样品测量值;(176Lu/177Hf)CHUR=0.0332,(176Hf/177Hf)CHUR0=0.282772[26];(176Lu/177Hf)DM=0.0384,(176Hf/177Hf)DM=0.28325[27];(176Lu/177Hf)平均地壳=0.015;fcc=[(176Lu/177Hf)平均地壳/(176Lu/177Hf)CHUR]-1;fs= fLu/HffDM=[(176Lu/177Hf)DM/(176Lu/177Hf)CHUR]-1;t为锆石结晶年龄。
    下载: 导出CSV 
    | 显示表格
    图  5  不等粒二长花岗岩(WS05)锆石εHf(t)-t图(底图据文献[33])
    Figure  5.  εHf(t) versus age diagrams of unequal-grained monzogranite (WS05). Base image according to Reference[33]
    图  6  流纹质碎斑熔岩(WS02)锆石εHf(t)-t图(底图据文献[33])
    Figure  6.  εHf(t) versus age diagrams of rhyolite porphyritic lava (WS02). Base image according to Reference [33]

    乌努格吐山成岩成矿年代学取得大量成果,也存在较大争议[11-15]。本次工作在系统野外地质调查的基础上,选择代表性围岩和成矿母岩进行同位素年龄测试,测试单位为北京锆年领航科技有限公司,测试方法为LA-ICP-MS。锆石U-Pb年龄具有成熟有效,锆石易挑选,封闭体系温度高等优点[39-40],所测年龄结果真实有效,能够有效地代表岩体形成年龄。

    本次工作所测围岩(WS05)不等粒二长花岗岩样品锆石具震荡环带,Tu/U比值较大,锆石稀土强烈富集重稀土、亏损轻稀土,δEu负异常;δCe正异常特征,表明测试用锆石为岩浆成因锆石,测试结果为200.96±0.88Ma,该测试结果与秦克章等[12]测得的矿区黑云二长花岗岩全岩Rb-Sr等时线年龄(211±21Ma)、谭刚[14]获得的外围黑云母花岗岩锆石U-Pb年龄(198.1±2.9Ma)、Wang等[16]获得的矿区黑云花岗岩SIMS锆石U-Pb年龄(203.5±1.6Ma)、Zhang等[17]测得的花岗斑岩脉的SHRIMP锆石U-Pb年龄(201.4±3.1Ma)和Mi等[18]获得的矿区黑云母花岗岩锆石U-Pb年龄(206.9±1.9Ma)在误差范围内,表明了200Ma左右是本区重要的成岩时期,主体为大面积展布的黑云母花岗岩和二长花岗岩,其次为花岗斑岩脉体。其中,本次研究的不等粒二长花岗岩为新报道的一类赋矿围岩,与黑云母花岗岩属于同期形成的岩体在不同部位的岩性过渡。因此,本次所测得的不等粒二长花岗岩年龄(200.96±0.88Ma)可代表赋矿围岩岩体形成的时代,该岩体在靠近斑岩体的部位发育一定程度的蚀变和矿化,表明成矿作用晚于大面积展布的二长花岗岩-黑云母花岗岩围岩的形成时代。

    成矿母岩(WS02)流纹质碎斑熔岩样品锆石具震荡环带,Tu/U比值较大,锆石稀土强烈富集重稀土、亏损轻稀土,δEu负异常;δCe正异常特征,表明测试用锆石为岩浆成因锆石,加权平均值为179.58±0.91Ma,表明矿化蚀变流纹质碎斑熔岩形成于早侏罗世。该测试结果与秦克章等[11]获得的蚀变绢云母K-Ar年龄(183.5±1.7Ma)、Wang等[16]获得的二长花岗斑岩SIMS锆石U-Pb年龄(180.4±1.4Ma)和Mi等[18]获得的流纹斑岩锆石U-Pb年龄(180.4±4.5Ma)年龄在地质误差范围内,也与Zhang等[17]获得的辉钼矿Re-Os加权平均年龄(179.8±1.0Ma)在误差内一致,稍早于谭钢[14]测得的辉钼矿Re-Os等时线年龄(177.4±2.4Ma),说明除了二长花岗斑岩和流纹斑岩,本次研究的流纹质碎斑熔岩也为一种重要的成矿母岩体,其形成年龄可代表矿区的成矿时代。

    赋矿围岩锆石Hf同位素特征表明岩浆源区以新生陆壳物质或幔源物质为主,混有少量古老壳源物质。成矿母岩锆石Hf同位素特征表明岩浆源区主要为新生陆壳物质或幔源物质为主,仅含极少数古老壳源物质。

    本文采用LA-MC-ICP-MS和LA-ICP-MS证实不等粒二长花岗岩和流纹质碎斑熔岩为早侏罗世不同阶段的产物。锆石εHf(t)值及二阶段模式年龄(TDMC)的细微区别反映了岩浆源区的异同。通过对比赋矿围岩和成矿母岩成岩时代和Lu-Hf同位素之间的差异,指示了赋矿围岩岩浆源区为幔源物质和少量古老壳源物质的混合;成矿母岩岩浆源区主要为幔源物质。从赋矿围岩到成矿母岩岩浆源区幔源物质增加,壳源物质减少。

  • 图  1   不同方法测得的土壤有效Se与作物Se含量之间相关关系

    Figure  1.   Correlation between available Se in soil by different methods and Se concentration in plant

    图  2   天然与外源添加土壤Se活动态分布特征对比

    其他数据来源于文献[40-42],Se(Ⅵ)指土壤按1mg/kg添加Se(Ⅵ)处理,Se(Ⅳ)指土壤按1mg/kg添加Se(Ⅳ)处理。

    Figure  2.   Comparison of selenium activity fractions between natural and external added soil

    图  3   DGT技术测得的R值和Kd

    Figure  3.   R value and Kd value by DGT measurement

    表  1   DGT装置规格参数

    Table  1   Specifications of DGT equipment

    DGT参数 Fe-oxide DGT Zr-oxide DGT
    吸附膜 厚度0.6mm 厚度0.4mm
    应用条件 pH:3.0~7.0 pH:3~10;离子强度:
    10-5~0.75mol/L
    硝酸钠溶液
    扩散膜 聚丙烯酰胺:
    厚度0.8mm
    聚丙烯酰胺:
    厚度0.8mm
    滤膜 PES(聚醚砜):
    厚度0.14mm,
    孔径0.45μm
    PES(聚醚砜):
    厚度0.14mm,
    孔径0.45μm
    采样面积 3.14cm2 2.54cm2
    D0(扩散系数) 7.44(E-6cm2/s) 7.44(E-6cm2/s)
    下载: 导出CSV

    表  2   不同方法测得土壤有效Se与作物Se含量相关系数

    Table  2   Correlation coefficent between available Se in soil by different methods and Se concentration in plants

    参数 上墅 汾口 全部
    CDGT(Fe-oxide)-Se 0.757** 0.790** 0.705**
    CDGT(Zr-oxide)-Se 0.144 0.324 0.263
    Csoln-Se 0.556* 0.556** 0.369*
    CKH2PO4-Se 0.130 0.638** 0.565**
    C(F1+F2+F3)-Se 0.787** 0.503 0.465*
    注:“*”表示在0.05水平(双侧)上显著相关;“**”表示在0.01水平(双侧)上显著相关。
    下载: 导出CSV

    表  3   DGT测定土壤有效Se含量结果

    Table  3   Analytical results of available Se in soil with DGT measurement method

    DGT类型 研究区 CDGT(μg/L) R(CDGT/Csoln)
    最小值 最大值 平均值 中位数 最小值 最大值 平均值 中位数
    Fe-oxide
    DGT
    上墅 0.089 0.41 0.18 0.16 0.020 0.087 0.049 0.041
    汾口 0.051 0.34 0.15 0.14 0.024 0.13 0.056 0.055
    全部 0.051 0.41 0.17 0.15 0.020 0.13 0.053 0.050
    Zr-oxide
    DGT
    上墅 0.050 0.55 0.19 0.14 0.0096 0.23 0.058 0.034
    汾口 0.066 0.56 0.21 0.17 0.016 0.27 0.085 0.073
    全部 0.050 0.56 0.20 0.16 0.0096 0.27 0.072 0.049
    下载: 导出CSV
  • 周国华. 富硒土地资源研究进展与评价方法[J]. 岩矿测试, 2020, 39(3): 319-336. doi: 10.15898/j.cnki.11-2131/td.201911140158

    Zhou G H. Research progress of selenium-enriched land resources and evaluation methods[J]. Rock and Mineral Analysis, 2020, 31(3): 319-336. doi: 10.15898/j.cnki.11-2131/td.201911140158

    成晓梦, 马荣荣, 彭敏, 等. 中国大宗农作物及根系土中硒的含量特征与富硒土壤标准建议[J]. 物探与化探, 2019, 43(6): 1367-1372. https://www.cnki.com.cn/Article/CJFDTOTAL-WTYH201906026.htm

    Cheng X M, Ma R R, Peng M, et al. Characteristics of selenium in crops and roots in China and recom-mendations selenium-enriched soil standards[J]. Geophysical and Geochemical Exploration, 2019, 43(6): 1367-1372. https://www.cnki.com.cn/Article/CJFDTOTAL-WTYH201906026.htm

    Dinh Q T, Cui Z W, Huang J, et al. Selenium distribution in the Chinese environment and its relationship with human health: A review[J]. Environment International, 2018, 112: 294-309. doi: 10.1016/j.envint.2017.12.035

    周国华. 土壤重金属生物有效性研究进展[J]. 物探与化探, 2014, 38(6): 1097-1106. https://www.cnki.com.cn/Article/CJFDTOTAL-WTYH201406001.htm

    Zhou G H. Recent progress in the study of heavy metal bioavailability in soil[J]. Geophysical and Geochemical Exploration, 2014, 38(6): 1097-1106. https://www.cnki.com.cn/Article/CJFDTOTAL-WTYH201406001.htm

    梁东丽, 彭琴, 崔泽玮, 等. 土壤硒的形态转化及其对有效性的影响研究进展[J]. 生物技术进展, 2017, 7(5): 374-380. https://www.cnki.com.cn/Article/CJFDTOTAL-SWJZ201705010.htm

    Liang D L, Peng Q, Cui Z W, et al. Progress on selenium bioavailibility and influential factors in soil[J]. Current Biotechnology, 2017, 7(5): 374-380. https://www.cnki.com.cn/Article/CJFDTOTAL-SWJZ201705010.htm

    Menzies N W, Donn M J, Kopittke P M. Evaluation of extractants for estimation of the phyto available trace metals in soils[J]. Environmental Pollution, 2007, 145(1): 121-130. doi: 10.1016/j.envpol.2006.03.021

    Tian Y, Wang X, Luo J, et al. Evaluation of holistic approaches to predicting the concentrations of metals in field-cultivated rice[J]. Environmental Science & Technology, 2008, 42(20): 7649-7654. https://pubmed.ncbi.nlm.nih.gov/18983088/

    Luo J, Zhang H, Zhao F J, et al. Distinguishing diffusional and plant control of Cd and Ni uptake by hyperaccumulator and nonhyperaccumulator plants[J]. Environmental Science & Technology, 2010, 4(4): 6636-6641.

    Luo J, Zhang H, Santner J, et al. Performance characteristics of diffusive gradients in thin films equipped with a binding gel layer containing precipitated ferrihydrite for measuring arsenic(Ⅴ), Selenium(Ⅵ), vanadium(Ⅴ), and antimony(Ⅴ)[J]. Analytical Chemistry, 2010, 82(21): 8903-8909. doi: 10.1021/ac101676w

    Davison W, Zhang H. Progress in understanding the use of diffusive gradients in thin films(DGT)-back to basics[J]. Environment Chemistry, 2012, 9(1): 1-13. doi: 10.1071/EN11084

    Zhang H, Davison W. Use of diffusive gradients in thin-films for studies of chemical speciation and bioavailability[J]. Environmental Chemistry, 2015, 12(2): 85-101. doi: 10.1071/EN14105

    Wang M K, Cui Z W, Xue M Y, et al. Assessing the uptake of selenium from naturally enriched soils by maize (Zea mays L. ) using diffusive gradients in thin-films technique (DGT) and traditional extractions[J]. Science of the Total Environment, 2019, 689: 1-9.

    Peng Q, Wang M K, Cui Z W, et al. Assessment of bio-availability of selenium in different plant-soil systems by diffusive gradients in thin films (DGT)[J]. Environment Pollution, 2017, 225: 637-643. doi: 10.1016/j.envpol.2017.03.036

    Peng Q, Li J, Wang D, et al. Effects of ageing on bio-availability of selenium in soils assessed by diffusive gradients in thin-films and sequential extraction[J]. Plant Soil, 2019, 436: 159-171. doi: 10.1007/s11104-018-03920-y

    赵万伏, 宋垠先, 管冬兴, 等. 典型黑色岩系分布区土壤重金属污染与生物有效性研究[J]. 农业环境科学学报, 2018, 37(7): 1332-1341. http://www.cnki.com.cn/Article/CJFDTotal-NHBH201807005.htm

    Zhao W F, Song Y X, Guan D X, et al. Pollution status and bioavailability of heavy metals in soils of a typical black shale area[J]. Journal of Agro-Environment Science, 2018, 37(7): 1332-1341. http://www.cnki.com.cn/Article/CJFDTotal-NHBH201807005.htm

    宋明义. 浙西地区下寒武统黑色岩系中硒与重金属的表生地球化学及环境效应[D]. 合肥: 合肥工业大学, 2009: 14-15.

    Song M Y. Supergenic geochemistry and environmental effects of selenium and heavy metals in the lower Cambrian black series of western Zhejiang Province, China[D]. Hefei: Hefei University of Technology, 2009: 14-15.

    Ding S, Xu D, Wang Y, et al. Simultaneous measurements of eight oxyanions using high-capacity diffusive gradients in thin films (Zr-oxide DGT) with a high-efficiency elution procedure[J]. Environmental Science & Technology, 2016, 50(14): 7572-7580. https://ui.adsabs.harvard.edu/abs/2016EnST...50.7572D/abstract

    陈海杰, 马娜, 陈卫明, 等. 抑制植物样品消解过程中硒挥发的方法[J]. 分析化学报告, 2020, 48(9): 1268-1272. https://www.cnki.com.cn/Article/CJFDTOTAL-FXHX202009021.htm

    Chen H J, Ma N, Chen W M, et al. A method for suppressing volatile loss of selenium in digestion of plant samples[J]. Chinese Journal of Analytical Chemistry, 2020, 48(9): 1268-1272. https://www.cnki.com.cn/Article/CJFDTOTAL-FXHX202009021.htm

    罗军, 王晓蓉, 张昊, 等. 梯度扩散薄膜技术(DGT)的理论及其在环境中的应用Ⅰ: 工作原理、特性与在土壤中的应用[J]. 农业环境科学学报, 2011, 30(2): 205-213. https://www.cnki.com.cn/Article/CJFDTOTAL-NHBH201102003.htm

    Luo J, Wang X R, Zhang H, et al. Theory and application of diffusive gradients in thin films in soils[J]. Journal of Agro-Environment Science, 2011, 30(2): 205-213. https://www.cnki.com.cn/Article/CJFDTOTAL-NHBH201102003.htm

    戴高乐, 侯青叶, 杨忠芳, 等. 洞庭湖平原土壤铅活动性影响因素研究[J]. 现代地质, 2019, 33(4): 783-793. https://www.cnki.com.cn/Article/CJFDTOTAL-XDDZ201904011.htm

    Dai G L, Hou Q Y, Yang Z F, et al. Factors affecting mobility of lead in the soils of the Dongting Lake Plain, China[J]. Geoscience, 2019, 33(4): 783-793. https://www.cnki.com.cn/Article/CJFDTOTAL-XDDZ201904011.htm

    马宏宏, 彭敏, 刘飞, 等. 广西典型碳酸盐岩区农田土壤-作物系统重金属生物有效性及迁移富集特征[J]. 环境科学, 2020, 41(1): 449-459. https://www.cnki.com.cn/Article/CJFDTOTAL-HJKZ202001054.htm

    Ma H H, Peng M, Liu F, et al. Bioavailability, translocation, and accumulation characteristic of heavy metals in a soil-crop system from a typical carbonate rock area in Guangxi, China[J]. Environmental Science, 2020, 41(1): 449-459. https://www.cnki.com.cn/Article/CJFDTOTAL-HJKZ202001054.htm

    陈静, 孙琴, 姚羽, 等. DGT和传统化学方法比较研究复合污染土壤中Cd的生物有效性[J]. 环境科学研究, 2014, 27(10): 1172-1179. https://www.cnki.com.cn/Article/CJFDTOTAL-HJKX201410014.htm

    Chen J, Sun Q, Yao Y, et al. Comparison of DGT technique with traditional method for evaluating cadmium bioavailability in soils with combined pollution[J]. Research of Environmental Sciences, 2014, 27(10): 1172-1179. https://www.cnki.com.cn/Article/CJFDTOTAL-HJKX201410014.htm

    吴雄平, 鲍俊丹, 伊田, 等. 石灰性土壤有效硒浸提剂和浸提条件研究[J]. 农业环境科学学报, 2009, 28(5): 931-936. doi: 10.3321/j.issn:1672-2043.2009.05.012

    Wu X P, Bao J D, Yi T, et al. Extractants and optimum extracting conditions of soil available selenium in calcareous soil[J]. Journal of Agro-Environment Science, 2009, 28(5): 931-936. doi: 10.3321/j.issn:1672-2043.2009.05.012

    耿建梅, 王文斌, 罗丹, 等. 不同浸提剂对海南稻田土壤有效硒浸提效果对比[J]. 土壤, 2010, 42(4): 624-629. https://www.cnki.com.cn/Article/CJFDTOTAL-TURA201004022.htm

    Geng J M, Wang W B, Luo D, et al. Comparative studies on effects of several extractants on available selenium of paddy soils in Hainan[J]. Soils, 2010, 42(4): 624-629. https://www.cnki.com.cn/Article/CJFDTOTAL-TURA201004022.htm

    谢薇, 杨耀栋, 管桂芹, 等. 四种浸提剂对果园与菜地土壤有效硒浸提效果的对比研究[J]. 岩矿测试, 2020, 39(3): 434-441. doi: 10.15898/j.cnki.11-2131/td.201905150063

    Xie W, Yang Y D, Jian G Q, et al. A comparative study of four extractants on the extraction of available selenium in vegetable and orchard soils[J]. Rock and Mineral Analysis, 2020, 39(3): 434-441. doi: 10.15898/j.cnki.11-2131/td.201905150063

    张艳玲, 潘根兴, 胡秋辉, 等. 江苏省几种低硒土壤中硒的形态分布及生物有效性[J]. 植物营养与肥料学报, 2002, 8(3): 355-359. doi: 10.3321/j.issn:1008-505X.2002.03.018

    Zhang Y L, Pan G X, Hu Q H, et al. Selenium fractionation and bio-availabiliyt in some low-Se soils of central Jiangsu Province[J]. Plant Nutrition and Fertilizer Science, 2002, 8(3): 355-359. doi: 10.3321/j.issn:1008-505X.2002.03.018

    Dillon K S, Rani N, Dillon S K. Evaluation of different extractants for the estimation of bioavailable selenium in seleniferous soils of northwest India[J]. Soil Research, 2005, 43(5): 639-645. doi: 10.1071/SR04166

    Wang J, Bai L, Zeng X, et al. Assessment of arsenic availability in soils using the diffusive gradients in thin films(DGT) technique-A comparison study of DGT and classic extraction methods[J]. Environmental Science-Processess & Impacts, 2014, 16(10): 2355-2361. https://pubs.rsc.org/en/content/articlelanding/2014/em/c4em00215f

    Bade R, Oh S, Shin W S. Diffusive gradients in thin films (DGT) for the prediction of bioavailability of heavy metals in contaminated soils to earthworm (Eisenia foetida) and oral bioavailable concentrations[J]. Science of the Total Environment, 2012, 416(2): 127-136.

    彭琴. 基于梯度扩散薄膜技术评价土壤硒的生物有效性[D]. 杨凌: 西北农林科技大学, 2017: 19-21.

    Peng Q. Assessment of selenium bioavailability in soils based on diffusion gradients in thin films technique[D]. Yangling: Northwest A & F University, 2017: 19-21.

    伊芹, 程皝, 尚文郁. 土壤硒的存在特征及分析测试技术研究进展[J]. 岩矿测试, 2021, 40(1): 461-475. doi: 10.15898/j.cnki.11-2131/td.202006230095

    Yi Q, Cheng H, Shang W Y. Review on characteristics of selenium in soil and related analytical techniques[J]. Rock and Mineral Analysis, 2021, 40(1): 461-475. doi: 10.15898/j.cnki.11-2131/td.202006230095

    Cartes P, Gianfreda L, Mora M L. Uptake of selenium and its antioxidant activity in ryegrass when applied as selenate and selenite forms[J]. Plant and Soil, 2005, 276(1-2): 359-367. doi: 10.1007/s11104-005-5691-9

    Zhao C, Ren J, Xue C. Study on the relationship between soil selenium and plant selenium uptake[J]. Plant and Soil, 2005, 277(1-2): 197-206. doi: 10.1007/s11104-005-7011-9

    Pezzarossa B, Petruzzelli G, Petacco F, et al. Absorption of selenium by Lactuca sativa as affected by carboxymethylcellulose[J]. Chemosphere, 2007, 67: 322-329. doi: 10.1016/j.chemosphere.2006.09.073

    Mason S, Mcneill A, Mclaughlin M J, et al. Prediction of wheat response to an application of phosphorus under field conditions using diffusive gradients in thin-films (DGT) and extraction methods[J]. Plant Soil, 2010, 337(1-2): 243-258. doi: 10.1007/s11104-010-0521-0

    Nolan A L, Zhang H, Mclaughlin M J. Prediction of zinc, cadmium, lead, and copper availability to wheat in contaminated soils using chemical speciation, diffusive gradients in thin films, extraction, and isotopic dilution techniques[J]. Journal of Environmental Quality, 2005, 34(14): 496-507. doi: 10.2134/jeq2005.0496

    宋宁宁, 王芳丽, 沈跃, 等. 梯度薄膜扩散技术(DGT)与传统化学方法评估黑麦草吸收Cd的对比[J]. 环境化学, 2012, 31(12): 1960-1967. https://www.cnki.com.cn/Article/CJFDTOTAL-HJHX201212021.htm

    Song N N, Wang F L, Shen Y, et al. Comparison of the method of diffusive gradients in thin films with traditional chemical extraction techniques for evaluating cadmium bioavailability in ryegrass[J]. Environmental Chemistry, 2012, 31(12): 1960-1967. https://www.cnki.com.cn/Article/CJFDTOTAL-HJHX201212021.htm

    侯青叶, 杨忠芳, 余涛, 等. 中国土壤地球化学参数[M]. 北京: 地质出版社, 2020: 2621.

    Hou Q Y, Yang Z F, Yu T, et al. Geochmical parameters of soils in China[M]. Beijing: Geological Publishing House, 2020: 2621.

    柳云龙, 章立佳, 韩晓非, 等. 上海城市样带土壤重金属空间变异特征及污染评价[J]. 环境科学, 2012, 33(2): 599-605. https://www.cnki.com.cn/Article/CJFDTOTAL-HJKZ201202045.htm

    Liu Y L, Zhang L J, Han X F, et al. Spatial variability and evaluation of soil heavy metal contamination in the urban-transect of Shanghai[J]. Environmental Science, 2012, 33(2): 599-605. https://www.cnki.com.cn/Article/CJFDTOTAL-HJKZ201202045.htm

    杨奎, 李湘凌, 张敬雅, 等. 安徽庐江潜在富硒土壤硒生物有效性及其影响因素[J]. 环境科学研究, 2018, 31(4): 715-724. https://www.cnki.com.cn/Article/CJFDTOTAL-HJKX201804015.htm

    Yang K, Li X L, Zhang J Y, et al. Selenium bioavailability and influential factors in potentially selenium enriched soils in Lujiang County, Anhui Province[J]. Research of Environmental Sciences, 2018, 31(4): 715-724. https://www.cnki.com.cn/Article/CJFDTOTAL-HJKX201804015.htm

    王潇, 张震, 朱江, 等. 青阳县富硒土壤中硒的形态与水稻富硒的相关性研究[J]. 地球科学与环境, 2019, 47(3): 336-344. https://www.cnki.com.cn/Article/CJFDTOTAL-DZDQ201903013.htm

    Wang X, Zhang Z, Zhu J, et al. Study of correlation between rice selenium and status of selenium in selenium-rich soil in Qingyang County[J]. Earth and Environment, 2019, 47(3): 336-344. https://www.cnki.com.cn/Article/CJFDTOTAL-DZDQ201903013.htm

    樊俊, 王瑞, 胡红青, 等. 不同价态外源硒对土壤硒形态及酶活性、微生物数量的影响[J]. 水土保持学报, 2015, 29(5): 137-141. https://www.cnki.com.cn/Article/CJFDTOTAL-TRQS201505025.htm

    Fan J, Wang R, Hu H Q, et al. Effects of exogenous selenium with different valences on Se forms, enzyme activities and microbial quantity of soil[J]. Journal of Soil and Water Conservation, 2015, 29(5): 137-141. https://www.cnki.com.cn/Article/CJFDTOTAL-TRQS201505025.htm

    Shaheen S M, Kwon E E, Biswas J K, et al. Arsenic, chromium, molybdenum, and selenium: Geochemical fractions and potential mobilization in riverine soil profiles orginating from Germang and Egypt[J]. Chemosphere, 2017, 180: 553-563. doi: 10.1016/j.chemosphere.2017.04.054

    Li J, Peng Q, Liang D L, et al. Effects of aging on the fraction distribution and bioavailability of selenium in three different soils[J]. Chemosphere, 2016, 144: 2351-2359. doi: 10.1016/j.chemosphere.2015.11.011

    况琴, 吴山, 黄庭, 等. 生物炭质和钢渣对江西丰城典型富硒区土壤硒有效性的调控效果与机理研究[J]. 岩矿测试, 2019, 38(6): 705-714. doi: 10.15898/j.cnki.11-2131/td.201901190014

    Kuang Q, Wu S, Huang T, et al. Effect and mechanism of biomass carbon and steel slag as ameliorants on soil selenium availability in typical Se-rich are of Fengcheng City, Jiangxi Province[J]. Rock and Mineral Analysis, 2019, 38(6): 705-714. doi: 10.15898/j.cnki.11-2131/td.201901190014

    Peng Q, Guo L, Ali F, et al. Influence of Pak choi plant cultivation on Se distribution, speciation and bioavailability in soil[J]. Plant and Soil, 2016, 403: 331-342. doi: 10.1007/s11104-016-2810-8

    Luo J, Cheng H, Ren J, et al. Mechanistic insights from DGT and soil solution measurements on the uptake of Ni and Cd by radish[J]. Environmental Science & Technology, 2014, 48(13): 7305-7313. https://pubmed.ncbi.nlm.nih.gov/24853263/

    Zhang H, Davison W, Knight B, et al. In situ measurements of solution concentrations and fluxes of trace metals in soils using DGT[J]. Environmental Science & Technology, 1998, 32(5): 704-710. http://lib3.dss.go.th/fulltext/Journal/Environ%20Sci.%20Technology1998-2001/1998/no.5/5,1998%20vol.32no.5,p704-710.pdf

    Guan D X, Zheng J L, Luo J, et al. A diffusive gradients in thin-films technique for the assessment of bisphenols desorption from soils[J]. Journal of Hazardous Materials, 2017, 331: 321-328. doi: 10.1016/j.jhazmat.2017.02.053

    魏天娇, 管冬兴, 方文, 等. 梯度扩散薄膜技术(DGT)的理论及其在环境中的应用Ⅲ: 植物有效性评价的理论基础与应用潜力[J]. 农业环境科学学报, 2018, 37(5): 841-849. https://www.cnki.com.cn/Article/CJFDTOTAL-NHBH201805001.htm

    Wei T J, Guan D X, Fang W, et al. Theory and application of diffusive gradients in thin-films(DGT)in the environment Ⅲ: Theoretical basis and application potential in phytoavailability assessment[J]. Journal of Agro-Environment Science, 2018, 37(5): 841-849. https://www.cnki.com.cn/Article/CJFDTOTAL-NHBH201805001.htm

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  • 收稿日期:  2021-09-28
  • 修回日期:  2021-11-01
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  • 发布日期:  2022-01-27

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