湖南石门砷（金）矿床中雄黄的矿物学研究

湖南石门砷（金）矿床内的雄黄富Ｓ亏Ａｓ,含Ｓｂ和微量的Ｈｇ、Ｓｅ、Ｔｅ、Ｂｉ、Ａｕ;晶胞参数ａ０＝９．３０９～９．５１１Ａ,ｂ０＝１３．５２～１３．６１Ａ,ｃ０＝６．５７２～６．５９３Ａ;晶体化学式为（Ａｓ０．９９９７Ｓｂ０．００１３）１．００１０Ｓ;红外吸收３４３、３７５ｃｍ－１;δＣｅ＜１,具明显负异常。本文还列出了雄黄的红外吸收光谱、Ｘ射线衍射谱、化学成分和稀土元素含量等资料。这些可作为该区雄黄的标型特征,对其它雄黄矿（床）点的研究、预测与评价有重要意义。     

陕西凤县八方山多金属矿床成矿成晕模式

方山多金属矿床产于中泥盆统星红铺组，古道岭组。指示元素有Ｃｕ、Ｐｂ、Ｚｎ、Ａｇ、Ｃｄ、Ｈｇ、Ａｓ、Ｓｂ、Ａｕ、Ｂａ、Ｓｒ、Ｂ等，原生异常的轴向分带序列（从上到下）：Ｚｎ－Ｈｇ－Ｐｂ－Ａｇ－Ｃｕ１－Ｂａ－Ｓｒ－Ｓｂ－Ａｓ－Ｃｕ２、Ｎｉ、Ｃｏ、Ａｕ，具有明显多建造晕的特点。八方山多金属矿床是由海底喷流（汽）同生沉积－叠加、再造作用形成的。     

广东茂名地区二叠以状硅质岩成因地球化学特征及其沉积环境意义

在广东茂名地区二叠系地层中存在地导整合产生的层状硅质岩。硅质岩富Ｆｅ，Ｍｎ，相对贫Ａｌ；富集Ａｓ，Ｓｂ，Ｂｉ，Ｇａ等微量元素，稀土元素总量低，Ｃｅ弱负异常，重稀土相对富集，δ＾３０Ｓｉ值变化范围为０．０００３～０．０００７，。δ＾１８Ｏ值变化范围为０．０１４８～０．０２２３，均具热水沉积硅质岩的地球化学特征，在Ａｌ－Ｆｅ－Ｍｎ－（Ｎｉ＋Ｃｏ＋Ｃｕ）三角图上，本区硅质岩均属于典型的热水积硅质岩，硅质     

胶东大型金矿床的地球化学分带特征

胶东地区大型,特大型金矿都严格受构造控制,具有多期多阶段叠加成晕特点,一般都有１－２个主成矿阶段。在矿体周围能形成异常的元素有Ａｕ,Ａｇ,Ｃｕ,Ｐｂ,Ｚｎ,Ａｓ,Ｓｂ,Ｂｉ,Ｍｏ,Ｈｇ,Ｃｏ,Ｍｎ,Ｎｉ,Ｗ（Ｆ,Ｂ）等元素,单阶段形成的晕具有明显的垂直分带,Ｈｇ,Ａｓ,Ｓｂ（Ｂ,Ｆ）强异常总是分布在矿体上部及前缘,而Ｂｉ,Ｍｏ,Ｍｎ,Ｃｏ,Ｎｉ的强异常总是分布于矿体下部及尾晕,Ａｕ,Ａｇ一般正相关     

烧锅营子金矿黄铁矿的化学成分标型特征

烧锅营子金矿床的黄铁矿形成于早，中，晚３期，是主要的矿石矿物和载金矿物，其中以中期黄铁矿为最主要的载金者。黄铁矿的化学成分为；ＴＦｅ４３．３４％－４５．５２％，Ｓ４６．５８％－４８．８６％，，与标准黄铁矿相比显示亏铁，亏硫特点，黄铁矿为含丰富的微量元素，有Ａｕ，Ａｇ，Ａｓ，Ｓｂ，Ｂｉ，Ｃｕ，Ｚｎ，Ｐｂ，Ｃｏ，Ｎｉ，Ｗ，Ｍｏ，Ｓｅ等。其中Ａｕ，Ａｇ，Ｃｕ，Ｐｂ，Ｚｎ，Ｂｉ含量较高，而Ａｓ，Ｓｂ低，Ｓ     

GFAAS测定四氯化硅中超痕量Fe Cu Ni Mn Cr

采用纯水，氢氟酸处理样品，结合高灵敏的ＧＦＡＡＳ测定四氯化硅中超痕量Ｆｅ、Ｃｕ、Ｎｉ、Ｍｎ、Ｃｒ。方法简便、快速、灵敏度高、各元素的检出限（ｎｇ／ｍＬ）分别为Ｆｅ５，Ｎｉ０．８，Ｃｕ，Ｃｒ０．５，Ｍｎ０．２。     

新疆莫托萨拉铁锰矿硅质岩特征及其成因探讨

莫托萨拉铁锰矿硅质岩呈层状产于铁矿中,含热水沉积矿物。岩石的Ｆｅ２Ｏ３,Ａｕ,Ａｇ,Ｃｕ,ｐｂ,Ｚｎ,Ａｓ,Ｓｂ,Ｈｇ质量分数高,Ｃｒ,Ｎｉ,Ｃｏ,ＦｅＯ,Ａｌ２Ｏ３质量分数低,ｅ（Ａｌ）／ｗ（Ａｌ＋Ｍｎ＋Ｆｅ）比值低,这些元素组合指示出其热水 成因,在判别硅质岩形成作用的主元素和微量元素关系图上,硅质岩主要位于热水沉积作用的范围内或接近于热水沉积作用。岩石的稀土元素和Ｏ,Ｓｉ同位且成表明硅质岩是     

浙江西裘晚元古代层状硅质岩热水沉积地球化学标志及其沉积环境意义

在浙江西裘地区晚元古界地层中存在与地层整合产出的层状硅质岩。硅质岩富Ｆｅ、Ｍｎ，相对贫Ａ１，富集Ａｓ、Ｓｂ、Ｂｉ、Ｇａ，稀土元素总量低，铈负异常，重稀土相对富集，具热水沉积硅质岩的地球化学特征。在Ａ１－Ｆｅ－Ｍｎ和Ｆｅ－Ｍｎ－（Ｎｉ＋Ｃｏ＋Ｃｕ）三角图上均属于热水沉积硅质岩。硅质岩硅、氧同位素地球化学也显示其热水成因之特点。硅质岩的ＭｎＯ／ＴｉＯ２、δＣｅ和δ３０Ｓｉ值分析表明本区层状硅质岩主要是在深海环境下沉积的。硅质岩形成温度较高，约为８２－１６５℃。     

一种尚未定名的Ni—As—S—Se矿物相

Ｎｉ－Ａｓ－Ｓ－Ｓｅ矿物相首次发现于西秦岭南亚带拉尔玛－邛莫金－铜－铀建造矿床中。与其共生的矿物有：硒汞矿、硒铅矿、硒梯矿、硒硫锑矿、硒硫锑铜矿、自然金、重晶石、石英等。该矿物颗粒细小，粒度小于１０μｍ。在反光显微镜下呈白色，无内反射现象，为一均质矿物。两个点的电子探针分析结果（ＷＢ％）：Ｎｉ２４．１２３￣２９．３７８，Ａｓ２７．５７４￣３３．８９５，Ｈｇ７．５９１￣５．３５９，Ｓ１３．９３９￣１     

X射线荧光光谱—点滴麦勒膜制片法测定金标准样品中金银铜锌

酸分解试样，点滴麦勒膜制片，Ｎｉ元素作内标，使用Ｘ射线荧光光谱法同时测定金银标准样品中Ａｕ，Ａｇ，Ｃｕ和Ｚｎ，分析范围为０．２％－１００％。对于Ａｕ，Ａｇ，Ｃｕ和Ｚｎ含量为８３％，８．０％，６．２％，３．０％的试样，其ＲＳＤ（ｎ＝６）分别为０．１％、１．１％、０．９％和１．１％。     

山东七宝山金铜多金属矿区黄铁矿微量元素特征及其地质意义

七宝山金铜多金属矿区的钓鱼台硫铁矿床、金线头金铜矿床以及七宝山铅锌矿床,其矿化类型分别为似层状浸染型、隐爆角砾岩型、裂控热液脉型,黄铁矿是三类矿化中最发育的金属硫化物矿物。通过对3个矿床黄铁矿产状,晶体形态,主、微量元素的nS与nFe实际原子个数比图解(nS/nFe=1.985~2.066)、δFe与δS特征图解(δFe/δS=±5%)、δFe/δS-As图解、(Fe+S)-As图解、Co/Ni特征图解(Co/Ni=1.2~11;Co/Ni=2~27;0.7~18)、Co-Ni-As特征图解以及微量元素相关性[Se-Sb(0.528)、Se-Zn(0.371)、Zn-Sb(0.642)、Pb-Te(0.463)]等研究,得知3个矿床黄铁矿均受岩浆热液的影响,其成矿物质和岩浆作用密切相关,表明3类矿化黄铁矿均为与七宝山次火山杂岩体有关的中温热液型矿床。     

铋砷黝铜矿在中国的发现与研究

铋砷黝铜矿产于广东陆丰中低温热液黄铁矿矿床中，呈它形粒状嵌布在黄铁矿内，粒径0．05～0．22mm，与黄铜矿、针硫铋铝矿共生。反射免呈灰色微带蓝色，均质性。显微硬度Hv＝295．5kg／mm2。电子探针成分分析（平均值）为：S24.4％，Cu38．25％，As13．03％，Bi17.人83％，Sb0．48％，Zn2．39％，Fe2.13％，Te1．47％，化学式为：Cu10（Fe0.65Zn0.63Cu0．49）1．77（As2.97Bi1．46Sb0．07）4、50（S12．8Te0.20）13。X射线粉晶衍射强线：2．95（10），2．55（3），1．866（5），1．727（4），1．041（5）。晶胞参数α＝1．0218nm。     

邛莫金矿床中的硒辉锑矿

硒辉锑矿产于西秦岭邛莫金矿床中。与其共生的矿物有灰硒汞矿、灰硒铝矿、硒锑矿、硒块硫锑铜矿、硒镍矿、自然金以及石英、重晶石等。该矿物显微硬度VHN50＝68．25～128．0kg／mm2,平均101．26kg／mm2,相当于摩氏硬度3．15、30个测点的电子探针分析结果（％）：Sb57．75～66．79（平均63．25）,S11．86～21．62（平均17．30）,Se12．82～29．12（平均19．27）,据其平均值计算的化学分子式为：Sb1．99（S2．07,Se0．93）3．00,简写式为Sb2（S,Se）3。代表性的反射率（％）：（470nm）Rα’＝45．33,Rγ’＝31．03;（550nm）Rα’＝46．75,Rγ’＝33．63;（590nm）Rα’＝46．06,Rγ’＝：33．50;（650nm）Rα’＝45．18,Rγ’＝31．49。对两个Se含量仅达3％～5％的辉锑矿粉晶分析所得晶胞参数值为：a＝1．1209～1,1212nm,b=1．1299～1,1303nm,c＝0．3847～0,3849nm。与辉锑矿相比十分相似。     

黝铜矿-砷黝铜矿矿物学研究进展

黝铜矿-砷黝铜矿系列矿物(Tetrahedrite -Tennantite Series Mineral,TTSM)作为含Cu、Ag、S、Sb、As、Hg及少量Au、Fe、Zn、Cd、Bi、Te、Se的硫盐矿物广泛存在于世界各地的Cu、Ag、Au、Pb、Zn多金属矿床中.为了能够更好的认识该系列矿物,提高矿物中有用元素的回收率,扩大黝铜矿型铜矿床的经济效益,本文对TTSM的化学组成和类质同象置换规律,晶胞参数和晶体结构的形变,矿物人工合成和有用元素的浸出试验等研究进展进行了综述.天然TTSM矿物一般化学式为:(Cu,Ag)6 Cu4 (Fe,Zn,Cu,Hg,Ag,Cd)2 (Sb,As,Bi,Te)4 (S,Se)13,其中S-Se、Sb-As-Bi-Te、Ag-Cu、Cu-Hg-Fe-Pb-Zn-Cd的类质同象置换相当普遍;TTSM晶体结构中不同结构位置离子置换规律更多的受限于离子价键,而同一结构位置不同离子的置换除受限于离子价键还受限于该位置空间大小,晶胞参数与离子置换类型和数量密切相关;人工合成实验证实形成TTSM矿物的温度范围为350～540℃,浸出试验证明随反应温度增高、浸出浓度增大、矿物颗粒减小时,TTSM中有用元素的浸出速率增大.     

Trace metal nanoparticles in pyrite

Hydrothermal pyrite contains significant amounts of minor and trace elements including As, Pb, Sb, Bi, Cu, Co, Ni, Zn, Au, Ag, Se and Te, which can be incorporated into nanoparticles (NPs). NP-bearing pyrite is most common in hydrothermal ore deposits that contain a wide range of trace elements, especially deposits that formed at low temperatures. In this study, we have characterized the chemical composition and structure of these NPs and their host pyrite with high-resolution transmission electron microscopy (HRTEM), selected area electron diffraction (SAED), high-angle annular dark-field scanning transmission electron microscopy (HAADF-STEM), analytical electron microscopy (AEM), and electron microprobe analysis (EMPA). Pyrite containing the NPs comes from two types of common low-temperature deposits, Carlin-type (Lone Tree, Screamer, Deep Star (Nevada, USA)), and epithermal (Pueblo Viejo (Dominican Republic) and Porgera (Papua New-Guinea)).EMPA analyses of the pyrite show maximum concentrations of As (11.2), Ni (3.04), Cu (2.99), Sb (2.24), Pb (0.99), Co (0.58), Se (0.2), Au (0.19), Hg (0.19), Ag (0.16), Zn (0.04), and Te (0.04) (in wt.%). Three types of pyrite have been investigated: “pure” or “barren” pyrite, Cu-rich pyrite and As-rich pyrite. Arsenic in pyrite from Carlin-type deposits and the Porgera epithermal deposit is negatively correlated with S, whereas some (colloform) pyrite from Pueblo Viejo shows a negative correlation between As + Cu and Fe. HRTEM observations and SAED patterns confirm that almost all NPs are crystalline and that their size varies from 5 to 100 nm (except for NPs of galena, which have diameters of up to 500 nm). NPs can be divided into three groups on the basis of their chemical composition: (i) native metals: Au, Ag, Ag–Au (electrum); (ii) sulfides and sulfosalts: PbS (galena), HgS (cinnabar), Pb–Sb–S, Ag–Pb–S, Pb–Ag–Sb–S, Pb–Sb–Bi–Ag–Te–S, Pb–Te–Sb–Au–Ag–Bi–S, Cu–Fe–S NPs, and Au–Ag–As–Ni–S; and (iii) Fe-bearing NPs: Fe–As–Ag–Ni–S, Fe–As–Sb–Pb–Ni–Au–S, all of which are in a matrix of distorted and polycrystalline pyrite. TEM-EDX spectra collected from the NPs and pyrite matrix document preferential partitioning of trace metals including Pb, Bi, Sb, Au, Ag, Ni, Te, and As into the NPs. The NPs formed due to exsolution from the pyrite matrix, most commonly for NPs less than 10 nm in size, and direct precipitation from the hydrothermal fluid and deposition into the growing pyrite, most commonly for those > 20 nm in size. NPs containing numerous heavy metals are likely to be found in pyrite and/or other sulfides in various hydrothermal, diagenetic and groundwater systems dominated by reducing conditions.     

黝铜矿族矿物的EPMA研究

根据产自约20个不同矿床的黝铜矿族矿物的大量电子探针分析结果以及一些文献资料分析,黝铜矿族矿物是一类复杂的类质同象矿物系列。本文还对黝铜矿族矿物的分类命名规则以及相应的矿物种和变种名称提出意见和建议。     

Accumulation and sources of heavy metals in urban topsoils: a case study from the city of Xuzhou, China

The knowledge of the variability, the anthropogenic versus natural origin and corresponding environmental risk for potentially harmful elements in urban topsoils is of importance to assess human impact. The aims of the present study were: (1) to assess the distribution of heavy metals (Sn, Li, Ga, Ba, Fe, Mn, Co, Be, Ti, Al, Hg, Cr, Sb, As, Bi, Pd, Pt, Au, Ni, Cd, Zn, Cu, Pb, Se, Mo, Sc and Ag) in urban environment; (2) to discriminate natural and anthropogenic contributions; and (3) to identify possible sources of pollution. Multivariate statistic approaches (principal component analysis and cluster analysis) were adopted for data treatment, allowing the identification of three main factors controlling the heavy metal variability in Xuzhou urban topsoils. Results demonstrate that Hg, Cr, Sb, As, Bi, Pd, Pt, Au, Ni, Cd, Br, Zn, Cu, S, Pb, Se, Mo, Sc and Ag could be inferred to be tracers of anthropogenic pollution, whereas Al, Ti, Ga, Li, V, Co, Pt, Mn and Be were interpreted to be mainly inherited from parent materials. Iron, Ba, Sn, Pd and Br were interpreted to be affected by mixed sources.     

来自蛇绿岩地幔的硫（砷）化物矿物组合

近来在西藏雅鲁藏布江蛇绿岩带的罗布莎蛇绿岩块的地幔豆荚状铬铁矿中发现一个包括金刚石、柯石英、自然元素、合金、氧化物以及硫(砷)化物组成的地幔矿物群。该矿物群的硫(砷)化物具有特殊化学成分并呈包裹体分布在贱金属(BM)和铂族元素(PGE)或它们的合金中,大量化学成分分析得知它们主要由下列元素组成:S、As、Te、Fe、Ni、Co、Cu、Pt、Pd、Ru、Rh、Os、Ir、Mn和Ti。根据化学成分可辨别出约30种硫(砷)化物矿物:FeS、NiS、(Ni,Fe)S、Fe3S2、Ni3S2、(Ru,Os,Ir)S2、Rh7As3、Rh5Ni(Cu)As4、Pd4Rh3As3、Pd8As2、Pd3TeAs、Pd7Te3、RuAs、PtAs2、Ni4Rh3As3、Rh(As,S)2、(Rh,Ir)(As,S)2、Ir(As,S)2、MnS、Ti7S3、Ti7N3、Rh3.5Se3.5CuS2、RhS、Ir2S3、(Ir,Cu)2、S3(Co,Ni,Fe)2(As,S)3、(Ir,Pt)(As,S)2、Ru3(As,S)7以及(BM)x(PGE)yS10-(x y)等,其中包括已定名和未定名的矿物。由于矿物粒度小(<25μm),缺乏X射线分析资料,有待进一步研究。     

平顶山金矿床黄铁矿化学成分特征及其找矿意义

本文依据21件黄铁矿样品的电子探针成分分析数据,讨论了Au,Ag,Fe,Co,Ni,S,As,Sb,Cu,Te,Sn,Se等13个元素在黄铁矿中的含量和S/Fe,As/Sb比值在时间和空间上的变化规律。对矿体上的黄铁矿单晶体进行的能谱扫描电镜成分分析,Fe,S,As等成分在黄铁矿内部呈环带状分布,由晶体中心向边缘,它们的含量呈脉动式变化,反映成矿热液活动频繁。     

Heavy meals in urban roadside soils, part 1: effect of particle size fractions on heavy metals partitioning

Urban roadside soils are important environmental media for assessing heavy metal concentrations in urban environment. However, among other things, heavy metal concentrations are controlled by soil particle grain size fractions. In this study, two roadside sites were chosen within the city of Xuzhou (China) to reflect differences in land use. Bulk soil samples were collected and then divided by particle diameter into five physical size fractions, 500–250, 250–125, 125–74, 74–45, < 45 μm. Concentrations of metals (Ti, Cr, Al, Ga, Pb, Ba, Cd, Co, Cu, Mn, Ni, V, Zn, Mo, As, Sb, Se, Hg, Bi, Ag) were determined for each individual fraction. These metals could be roughly classified into two groups: anthropogenic element (Pb, Ba, Cd, Cu, Zn, Mo, As, Sb, Se, Hg, Bi, Ag) and lithophile element (Ti, Cr, Al, Ga, Co, Mn, Ni, V) in terms of values of enrichment factor. As expected, higher concentrations of anthropogenic heavy metals (Cu, Zn, Mo, As, Hg, Bi, Ag) are observed in the finest particle grain size fraction (i.e. < 45 μm). However, heavy metals Se, Sb and Ba behave independently of selected grain size fractions. From the viewpoint of mass loading, more than 30% of the concentrations for all anthropogenic heavy metals are contributed by the particle grain size fractions of 45–74 μm at site 1 and more than 70% of the concentrations for all heavy metals are contributed by the particle grain size fractions of 45–74 and 74–125 μm at site 2. These results are important for transport of soil-bound heavy metals and pollution control by various remedial options.