Deep learning for determining pure isotropic proton spectra from solidstate spectra

Recently,an article on ^(1)H solid-state NMR spectra was published,in which the authors proposed a deep learning approach to infer the pure isotropic proton NMR spectra obtained at an infinite magic angle spinning(MAS)rate.This approach even allowed to obtain,by far,the best resolved ^(1)H spectra of molecular solids[1](https://doi.org/10.1002/anie.202216607).Deep learning based artificial intelligence is developing rapidly,and its application is deepening.Currently,there are many applications of deep learning in the field of magnetic resonance,such as the reconstruction of the under-sampled multidimensional spectra[2-4],the deconvolution of two-dimensional NMR spectra[5]and noise suppression and weak peak retrial[6],etc.

Tunable spectral continuous shift of high-order harmonic generation in atoms by a plasmon-assisted shaping pulse

We delve into the phenomenon of high-order harmonic generation within a helium atom under the influence of a plasmon-assisted shaping pulse.Our findings reveal an intriguing manipulation of the frequency peak position in the harmonic emission by adjusting the absolute phase parameter within the frequency domain of the shaping pulse.This phenomenon holds potential significance for experimental setups necessitating precisely tuned single harmonics.Notably,we observe a modulated shift in the created harmonic photon energy,spanning an impressive range of 1.2 eV.This frequency peak shift is rooted in the asymmetry exhibited by the rising and falling edges of the laser pulse,directly influencing the position of the peak frequency emission.Our study quantifies the dependence of this tuning range and the asymmetry of the laser pulse,offering valuable insights into the underlying mechanisms driving this phenomenon.Furthermore,our investigation uncovers the emergence of semi-integer order harmonics as the phase parameter is altered.We attribute this discovery to the intricate interference between harmonics generated by the primary and secondary return cores.This observation introduces an innovative approach for generating semi-integer order harmonics,thus expanding our understanding of high-order harmonic generation.Ultimately,our work contributes to the broader comprehension of complex phenomena in laser-matter interactions and provides a foundation for harnessing these effects in various applications,particularly those involving precise spectral control and the generation of unique harmonic patterns.

Core level excitation spectra of La and Mn ions in LaMnO3

Manganese-based perovskite is popular for research on ferromagnetic materials,and its spectroscopic studies are essential for understanding its electronic structure,dielectric,electrical,and magnetic properties.In this paper,the M-edge spectra of La ions and the M-edge,L-edge,and K-edge spectra of Mn ions in LaMnO3 are calculated by considering both the free-ion multiplet calculation and the crystal field effects.We analyze spectral shapes,identify peak origins,and estimate the oxidation states of La and Mn ions in LaMnO3 theoretically.It is concluded that La ions in LaMnO3 predominantly exist in the trivalent state,while Mn ions exist primarily in the trivalent state with a minor presence of tetravalent ions.Furthermore,the calculated spectra are in better conformity with the experimental spectra when the proportion of Mn3+is 90%and Mn4+is 10%.This article enhances our comprehension of the oxidation states of La and Mn within the crystal and also provides a valuable guidance for spectroscopic investigations of other manganates.

Measured load spectra of the bearing in high-speed train gearbox under different gear meshing conditions

The load spectrum is a crucial factor for assess-ing the fatigue reliability of in-service rolling element bear-ings in transmission systems.For a bearing in a high-speed train gearbox,a measurement technique based on strain detection of bearing outer ring was used to instrument the bearing and determine the time histories of the distributed load in the bearing under different gear meshing conditions.Accordingly,the load spectrum of the total radial load car-ried by the bearing was compiled.The mean value and class interval of the obtained load spectrum were found to vary non-monotonously with the speed and torque of gear mesh-ing,which was considered to be caused by the vibration of the shaft and the bearing cage.As the realistic service load input of bearing life assessment,the measured load spectrum under different gear meshing conditions can be used to pre-dict gearbox bearing life realistically based on the damage-equivalent principle and actual operating conditions.

Multi-foci metalens for spectra and polarization ellipticity recognition and reconstruction

Multispectral and polarized focusing and imaging are key functions that are vitally important for a broad range of optical applications.Conventional techniques generally require multiple shots to unveil desired optical information and are implemented via bulky multi-pass systems or mechanically moving parts that are difficult to integrate into compact and integrated optical systems.Here,a design of ultra-compact transversely dispersive metalens capable of both spectrum and polarization ellipticity recognition and reconstruction in just a single shot is demonstrated with both coherent and incoherent light.Our design is well suited for integrated and high-speed optical information analysis and can significantly reduce the size and weight of conventional devices while simplifying the process of collecting optical information,thereby promising for various applications,including machine vision,minimized spectrometers,material characterization,remote sensing,and other areas which require comprehensive optical analysis.

Detection of Rice Yellow Mottle at the Asymptomatic Stage by Hyperspectral Fluorescence and Reflectance Spectroscopies

Rice yellow mottle is considered the most destructive disease threatening rice production in Africa. Early detection of this infection in rice is essential to limit its expansion and proliferation. However, there is no research devoted to the spectral detection of rice yellow mottle virus (RYMV) infection, especially in the asymptomatic or early stages. This work proposes the use of hyperspectral fluorescence and reflectance data at leaf level for the detection of this disease in asymptomatic stages. A greenhouse experiment was therefore conducted to collect hyperspectral fluorescence and reflectance data at different stages of infection. These data allowed to calculate nine vegetation indices: one from fluorescence spectra and eight from reflectance spectra. A t-test made it possible to identify, from the second day after infection, four relevant reflectance vegetation indices to discriminate healthy leaves from those infected: these are Photochemical Reflectance Index (PRI), Transformed Chlorophyll Absorption in Reflectance Index (TCARI), Structure Intensive Pigment Index (SIPI) and Simple Ratio Pigment Index (SRPI). The fluorescence index was less sensitive in detecting infection. The four significant vegetation indices for the detection of RYMV were then used to build and evaluate models for discriminating plants according to their health status by the supervised classification of support vector machine (SVM) at different stages of infection. The maximum overall accuracy is 92.5% six days after inoculation (6 DAI). The sixth day after inoculation would be the adequate day to detect RYMV. This plants discrimination was validated by the mean reflectance spectra and by the histograms showing the differences between the average reflectance vegetation indices values of the two types of plants. Our results demonstrate the feasibility of differentiating RYMV-infected samples. They suggest that support vector machine learning models could be developed to diagnose RYMV-infected plants based on vegetation indices derived from spectral profiles at early stages of disease development.

Predicting nitrogen use efficiency,nitrogen loss and dry matter intake of individual dairy cows in late lactation by including mid‑infrared spectra of milk samples

Background Nitrate leaching to groundwater and surface water and ammonia volatilization from dairy farms have negative impacts on the environment.Meanwhile,the increasing demand for dairy products will result in more pollution if N losses are not controlled.Therefore,a more efficient,and environmentally friendly production system is needed,in which nitrogen use efficiency(NUE)of dairy cows plays a key role.To genetically improve NUE,extensively recorded and cost-effective proxies are essential,which can be obtained by including mid-infrared(MIR)spectra of milk in prediction models for NUE.This study aimed to develop and validate the best prediction model of NUE,nitrogen loss(NL)and dry matter intake(DMI)for individual dairy cows in China.Results A total of 86 lactating Chinese Holstein cows were used in this study.After data editing,704 records were obtained for calibration and validation.Six prediction models with three different machine learning algorithms and three kinds of pre-processed MIR spectra were developed for each trait.Results showed that the coefficient of determination(R2)of the best model in within-herd validation was 0.66 for NUE,0.58 for NL and 0.63 for DMI.For external validation,reasonable prediction results were only observed for NUE,with R2 ranging from 0.58 to 0.63,while the R2 of the other two traits was below 0.50.The infrared waves from 973.54 to 988.46 cm−1 and daily milk yield were the most important variables for prediction.Conclusion The results showed that individual NUE can be predicted with a moderate accuracy in both within-herd and external validations.The model of NUE could be used for the datasets that are similar to the calibration dataset.The prediction models for NL and 3-day moving average of DMI(DMI_a)generated lower accuracies in within-herd validation.Results also indicated that information of MIR spectra variables increased the predictive ability of models.Additionally,pre-processed MIR spectra do not result in higher accuracy than original MIR spectra in the external validation.These models will be applied to large-scale data to further investigate the genetic architecture of N efficiency and further reduce the adverse impacts on the environment after more data is collected.

Spectra-assisted laser focusing in quantitative analysis of laser-induced breakdown spectroscopy for copper alloys

Laser-induced breakdown spectroscopy(LIBS)is a capable technique for elementary analysis,while LIBS quantitation is still under development.In quantitation,precise laser focusing plays an important role because it ensures the distance between the laser and samples.In the present work,we employed spectral intensity as a direct way to assist laser focusing in LIBS quantitation for copper alloys.It is found that both the air emission and the copper line could be used to determine the position of the sample surface by referencing the intensity maximum.Nevertheless,the fine quantitation was only realized at the position where the air emission(e.g.O(I)777.4 nm)reached intensity maximum,and also in this way,a repeatable quantitation was successfully achieved even after 120 days.The results suggested that the LIBS quantitation was highly dependent on the focusing position of the laser,and spectra-assisted focusing could be a simple way to find the identical condition for different samples’detection.In the future,this method might be applicable in field measurements for LIBS analysis of solids.

Four-Electron Systems in the Impurity Hubbard Model. Second Triplet State. Spectra of the System in the ν-Dimensional Lattice Zν

We consider an energy operator of four-electron system in the Impurity Hubbard model with a coupling between nearest-neighbors. The spectrum of the systems in the second triplet state in a ν-dimensional lattice is investigated. For investigation the structure of essential spectra and discrete spectrum of the energy operator of four-electron systems in an impurity Hubbard model, for which the momentum representation is convenient. In addition, we used the tensor products of Hilbert spaces and tensor products of operators in Hilbert spaces and described the structure of essential spectrum and discrete spectrum of the energy operator of four-electron systems in an impurity Hubbard model for the second triplet state of the system. The investigations show that the essential spectrum of the system consists of the union of no more than sixteen segments, and the discrete spectrum of the system consists of no more than eleven eigenvalues.

Time-resolved K-shell x-ray spectra of nanosecond laser-produced titanium tracer in gold plasmas

A study of a nanosecond laser irradiation on the titanium-layer-buried gold planar target is presented. The timeresolved x-ray emission spectra of titanium tracer are measured by a streaked crystal spectrometer. By comparing the simulated spectra obtained by using the FLYCHK code with the measured titanium spectra, the temporal plasma states, i.e.,the electron temperatures and densities, are deduced. To evaluate the feasibility of using the method for the characterization of Au plasma states, the deduced plasma states from the measured titanium spectra are compared with the Multi-1D hydrodynamic simulations of laser-produced Au plasmas. By comparing the measured and simulated results, an overall agreement for the electron temperatures is found, whereas there are deviations in the electron densities. The experiment–theory discrepancy may suggest that the plasma state could not be well reproduced by the Multi-1D hydrodynamic simulation, in which the radial gradient is not taken into account. Further investigations on the spectral characterization and hydrodynamic simulations of the plasma states are needed. All the measured and FLYCHK simulated spectra are given in this paper as datasets. The datasets are openly available at http://www.doi.org/10.57760/sciencedb.j00113.00032.

Diagnostics of laser-induced plasma on carbon-based polymer material using atomic and molecular emission spectra

Time-integrated optical emission analysis of laser-induced plasma on Teflon is presented.Plasma was induced under atmospheric pressure air using transversely excited atmospheric CO_(2) laser pulses.Teflon is a C-based polymer that is,among other things,interesting as a substrate for laser-induced breakdown spectroscopy analysis of liquid samples.This study aimed to determine the optimal experimental conditions for obtaining neutral and ionized C spectral lines and C2 and CN molecular band emission suitable for spectrochemical purposes.Evaluation of plasma parameters was done using several spectroscopic techniques.Stark profiles of appropriate C ionic lines were used to determine electron number density.The ratio of the integral intensity of ionic-to-atomic C spectral lines was used to determine the ionization temperature.A spectral emission of C2 Swan and CN violet bands system was used to determine the temperature of the colder,peripheral parts of plasma.We critically analyzed the use of molecular emission bands as a tool for plasma diagnostics and suggested methods for possible improvements.

基于密度泛函理论对团簇CrPS_(4)的光谱分析

为快速、高效得到物质的谱图数据,利用计算化学方法,根据拓扑学原理,利用密度泛函理论,对团簇CrPS_(4)10种优化构型的红外光谱、拉曼光谱、偶极矩以及极化率进行了分析,并利用构型2^((4))的理论红外谱图与前人所得实际光谱图进行了对比。结果显示:CrPS_(4)红外光谱的波峰大致分布在300~700 cm^(-1)范围内,拉曼光谱的波峰范围主要分布在200~700 cm^(-1)范围内;团簇CrPS_(4)振动形式为伸缩振动时,其对入射光的吸收强度较大;在频率较低的波段,CrPS_(4)更易发生红外吸收,在频率较高的波段,更易发生拉曼散射;总偶极矩的排列顺序为2^((2))>6^((4))>4^((2))>3^((2))>3^((4))>4^((4))>1^((2))>2^((4))>5^((4))>1^((4)),偶极矩越大,红外活性越强;极化率大小关系满足5^((4))<1^((4))<6^((4))<4^((4))<3^((4))<1^((2))<2^((4))<2^((2))<3^((2))<4^((2)),极化率越大,拉曼活性越强;所有构型的3大主轴中,XX轴的极化率均大于YY轴与ZZ轴;构型2^((4))的理论光谱图与实际结果对比发现,两者光谱图波峰频率基本吻合,实验与理论分析互为补充。

桑沟湾春季有色溶解有机物吸收光谱特性及空间分布特征

为探究有色溶解有机物(CDOM)光学性质如何示踪海水中溶解有机物组分的动态信息,实验利用紫外可见吸收光谱手段,分区域测定了桑沟湾春季水体及表层沉积物间隙水中CDOM的吸收光谱特征,探讨了CDOM的来源组成、空间分布特征、迁移转化过程及其与养殖活动的关系。结果显示,(1)波长为355 nm的吸收系数[a(355)]范围为0.23~9.09/m,不同水层空间分布差异显著,表层和底层均从近岸区向贝藻区逐渐降低,在海带区升高后向外海逐渐降低;海带区从表层向底层先降低后升高,高密度、规模化的海带养殖释放了大量的CDOM,各区域沉积物间隙水a(355)是其表层、中层和底层之和的1.3~2.5倍,CDOM在沉积物间隙水中富集并逐渐累积。(2)光谱斜率(S_(275~295))范围为0.013~0.036,外海区和海带区S_(275~295)均值显著高于其他各区,海带区和外海区CDOM中海源有机质占主要成分,而近岸区以陆源有机质为主;近岸区CDOM中的腐殖酸类物质含量从表层到底层逐渐降低,沉积物中积累的富里酸类物质含量较高,海带区和外海区呈相反趋势。(3)比紫外吸光度(SUVA_(254))范围为4.60~14.10 L/(mg·m),贝类区、贝藻区和藻类区SUVA_(254)均呈现出从表层到底层逐渐增大的趋势,CDOM的芳香性逐渐增强并在沉积物间隙水中达到最大;海带区和外海区沉积物间隙水中的SUVA_(254)显著高于其他各区。研究表明,海带区的规模化养殖活动向养殖海区及邻近海域贡献了较多的惰性溶解有机物,暗示着海带养殖活动有较强的碳汇效应,并通过海流作用向外海输送。本研究对桑沟湾海域不同养殖区域的CDOM的吸收特性和空间分布特征进行研究,可为全面了解海水养殖的碳源汇效应提供基础数据。

氧化物中存在O2p空穴的典型实验结果和磁性氧化物的O2p巡游电子模型

负二价氧离子具有满壳层价电子结构(2s^(2)2p^(6)).负一价氧离子的价电子结构为2s^(2)2p^(5),相当于存在1个O2p空穴.传统的凝聚态物理和材料化学研究中都假设氧化物中的氧离子全部为负二价离子,在迄今为止的绝大多数研究氧化物磁性和电输运性质的报道中,采用关于磁有序的超交换和双交换作用模型,都没有考虑O2p空穴的影响.然而,许多价电子状态实验证明,在氧化物中存在不可忽略的O2p空穴,即存在不可忽略的负一价氧离子,其占比可达30%或更多.基于这些实验结果,对传统磁有序模型进行改进,英美学者首先进行了探讨,笔者所在课题组与中国科学院物理研究所磁学国家重点实验室合作进行了系统的研究.介绍了相关的典型实验结果和理论模型.

基于STFT-AOK的星箭力学环境等效频谱分析

星箭力学环境的频谱特性研究对于力学试验环境条件设计非常重要。工程上通常基于冲击响应谱变换获得力学环境参数等效频谱,然而该方法受稳态放大系数Q取值的影响较大。为此,文章提出一种基于短时傅里叶变换–自适应优化核函数(STFT-AOK)融合技术的星箭力学环境等效频谱分析方法。研究结果表明:STFT-AOK方法可在AOK准确定位频率成分和瞬态特征时频区域的基础上,结合STFT的准确幅值,构造出频率分辨率高且幅值准确的时频分布,实现力学环境等效频谱的有效获取,适用于各种复杂瞬态星箭力学环境参数的频谱分析。

新疆白杨河铀矿区白色云母短波红外光谱及电子探针成分特征

铀是我国战略性关键金属资源之一,对科技发展和国家安全具有重要意义。新疆白杨河铀矿床是我国重要的热液型铀矿床,铀成矿过程中广泛发育白色云母。已有研究表明,白杨河铀矿床白色云母短波红外光谱蕴含着丰富的地质信息,记录了其形成热液环境及其与矿化的关系,但其短波红外光谱变化规律及其地质影响因素研究依然薄弱。因此,运用短波红外光谱技术和电子探针微区分析等分析方法对矿床白色云母进行分析研究。研究表明:白杨河铀矿床白色云母Al-OH特征吸收峰波长在2190和2220 nm之间漂移变化,电子探针化学组分表明其发生了明显的Tschermak(契尔马克)替换,Al-OH特征吸收峰波长直接受Mg和Fe含量以及Fe/(Fe+Mg)比值的影响,也受围岩成分的影响。Al-OH特征吸收峰波长较短的白色云母反映了相对高温的热液流体环境,而Al-OH特征吸收峰波长较长的白色云母则代表了相对低温的热液流体环境。白杨河铀矿床铀矿化点附近白色云母具有相对较短的Al-OH特征吸收峰波长、较大的ISM(伊利石光谱成熟度)值和较低的FWHM 2200(半峰宽)值。综合白色云母的Al-OH特征吸收峰波长、ISM值和FWHM2200值的空间变化规律,可以推断白杨河铀矿床的热液矿化中心位于杨庄花岗斑岩与上泥盆统火山岩的北部接触带。这不仅对完善白杨河铀矿床成因和深部与外围勘探具有重要的实际意义,对其他热液型金属矿产勘查亦具有重要的参考价值。

环氧树脂基近红外吸收涂层的近红外光谱、力学及耐盐水性能研究

以环氧树脂为粘合剂,Sm2O3为功能颜料,硅烷偶联剂和石墨烯为改性剂,制备得到了一种同时具有突出力学性能和耐盐水性能的近红外低反射率涂层。系统研究了Sm2O3添加量、硅烷偶联剂种类、硅烷偶联剂添加量和石墨烯添加量对涂层性能的影响。结果表明:Sm2O3添加量的增加可明显降低涂层对1.06μm近红外光的反射率,当Sm2O3添加量为50%,涂层对1.06μm近红外光的反射率可低至31.2%。此时,涂层的附着力和耐冲击强度分别可达到1级和50 kg·cm。用硅烷偶联剂改性涂层,偶联剂上的强极性基团分别可与涂层中的树脂基体和颜料形成共价键结合,从而可发挥桥连作用,进而可明显改善涂层的柔韧性,其中KH560的改性效果最佳。当KH560添加量为5%,涂层的柔韧性可从改性前的9 mm显著改善为改性后的4 mm。石墨烯具有特殊的共平面结构和超长共轭结构特征,使其对入射光的吸收可延伸到近红外区域。石墨烯特殊的片层结构使其具有很高的耐冲击强度和柔韧性,在涂层中添加石墨烯可明显改善涂层的力学性能。研究发现石墨烯的添加可在进一步改善涂层力学性能的前提下显著降低涂层对1.06μm近红外光的反射率。当石墨烯添加量为8%,涂层对1.06μm近红外光的反射率可低至12.6%,此时涂层可具备突出的激光隐身效能。同时,涂层的附着力、柔韧性和耐冲击强度分别可达到1级、2 mm和50 kg·cm,可很好地满足实际工程应用要求。在环氧树脂、硅烷偶联剂和石墨烯的协同界面优化作用下,最佳配方(Sm2O3添加量为50%、KH560添加量为5%、石墨烯添加量为8%)的涂层经盐水腐蚀21 d后,涂层的微结构、近红外低反射率性能和力学性能可保持稳定。此时,涂层对1.06μm近红外光的反射率为12.47%,涂层的附着力、柔韧性和耐冲击强度分别可保持在1级、2 mm和45 kg·cm,表明制备的涂层具有良好的耐盐水性能。

紫丁香蘑多糖的提取工艺优化及图谱分析

目的:为了获得紫丁香蘑多糖的最佳提取工艺条件和质量检测方法,对水提醇沉法提取紫丁香蘑多糖的工艺进行优化,并采用多种色谱方法对紫丁香蘑多糖进行质量分析。方法:采用正交实验对提取工艺进行优化,柱层析法分离纯化,利用UV、HPLC、IR、HPCE图谱分析方法对紫丁香蘑多糖进行质量分析。结果:紫丁香蘑多糖提取的最佳提取条件为100℃,处理时间10h,料液比1∶25;柱层析法分离得到Ⅰ、Ⅱ两种组分,Ⅰ为主要组分;UV结果表明紫丁香蘑多糖中几乎不含核酸和蛋白质;HPLC结果表明Ⅰ组分有显著的多糖吸收峰;IR结果表明,在400~4000cm-1波数内有多处典型的多糖特征吸收峰,证明该多糖是由多种糖苷键相连接的杂多糖;HPCE结果显示紫丁香菇多糖是由氨基葡萄糖、葡萄糖醛酸等6种单糖组成。结论:采用UV、HPLC、IR、HPCE等色谱手段对紫丁香蘑多糖的结构和性质进行了研究,其成果对开发新的紫丁香蘑多糖保健食品和药品,具有重要的指导意义。

基于拉曼技术的高地钩叶藤导管壁化学成分微区分布研究

为探寻棕榈藤材具有优良韧性的机理和棕榈藤材高值化利用,选择高地钩叶藤为研究对象,利用显微共聚焦拉曼技术,对导管壁化学成分的微区分布进行测试分析。结果表明,高地钩叶藤导管壁纤维素分子浓度为次生壁>复合胞间层>细胞角隅,而木质素分子浓度分布恰好相反。次生壁内、外层纤维素、木质素及半纤维素分子浓度差异较小。在藤茎径向上,藤芯处导管次生壁中层和细胞角隅处木质素的分子浓度最高,藤皮处导管的半纤维素分子浓度最高。藤皮处导管次生壁中层纤维素的分子浓度最低而细胞角隅处却最高,而藤中与藤芯处导管细胞角隅中半纤维的分子浓度均很小。在藤茎轴向上,随着高度增加藤皮导管次生壁中层木质素和半纤维素分子浓度变化趋势相同,而纤维素分子浓度在藤皮与藤芯间变化趋势完全相反。除导管各壁层的三大素分布呈一定规律性外,在藤茎径向和轴向上规律不明显。

Cobe Spectra与Fenwal CS 3000 Plus血细胞分离器外周血造血干/祖细胞的采集效能比较

为了评价Cobe Spectra(Version 6.1)和Fenwal CS 3000 Plus两种血细胞分离机在造血干／祖细胞采集中的 采集效能,对36人64次外周血造血干／祖细胞的采集进行了回顾性分析。20人42次使用Cobe Spectra采集,16人 22次使用Fenwal CS 3000 Plus采集。对CD34+细胞采集量、采集效率以及红细胞与血小板的采集量进行比较。结 果表明:Cobe Spectra和Fenwal CS 3000 Plus在CD34+细胞采集量和采集效率上无显著差异。CD34+细胞采集量 与供者白细胞、单核细胞、造血祖细胞、CD34+细胞的动员情况呈正相关,在多因素stepwise线性回归模型中,采集 前外周血干／祖细胞浓度是唯一有意义的影响因素。Fenwal CS 3000 Plus的采集效率与外周血单核细胞量呈负相 关。Fenwal CS 3000 Plus对红细胞的收集量显著高于Cobe Spectra,并且采集后供者外周血血小板降低程度较Cobe Spectra更严重。结论:Cobe Spectra(Version 6.1)和Fenwal CS 3000 Plus在CD34+细胞的采集能力上无显著差别。 当外周血单核细胞数量高,或是血型不合移植的及血小板减少的供者,推荐使用Cobe Spectra血细胞分离机。