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蘇州胤煌精密儀器科技有限公司-傘棚燈、不溶性微粒
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蘇州胤煌精密儀器科技有限公司-傘棚燈、不溶性微粒
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Recent Developments on Resolution and Applicability of Capillary Hydrodynamic Fractionation (CHDF)
毛細管流體分離技術(CHDF)分辨率和應用的新的發展
J. Gabriel DosRamos,
Matec Applied Sciences, 56 Hudson St., Northborough, MA 01532 USA
Abstract：
摘要：
Capillary Hydrodynamic Fractionation (CHDF) is a high-resolution particle size distribution (PSD) analysis technique. CHDF is used to measure the PSD of colloids in the particle size range of 5 nm to 3 microns.
CHDF fractionation occurs as an eluant or carrier fluid carries the particles downstream in a capillary tube. Large particles exit the fractionation capillary ahead of smaller particles. Particle fractionation occurs because of the combination of the eluant parabolic velocity profile (laminar flow), size exclusion of the particles at the capillary wall, and colloidal forces.
The aim of this study was to expand CHDF’s applicability to a broader class of colloidal systems. This can widen CHDF’s usefulness as a particle sizing technique.
毛細管流體分離（CHDF）技術是一種高分辨的粒度分布（PSD）檢測技術。毛細管流體分離技術（CHDF）用于測量粒徑在5nm-3μm 范圍內膠體的粒度分布（PSD）。
毛細管流體分離(CHDF)技術是以洗脫液或載體流體在毛細管中攜帶顆粒順流而下的形式發生的。大顆粒先于小顆粒退出分離毛細管。顆粒分離是由于洗脫物拋物線速度剖面(層流)、在毛細管內顆粒的尺寸排斥和膠體力的共同作用而發生的。
本研究的目的是將毛細管流體分離(CHDF)應用于更廣泛的膠體系統。這可以增加毛細管流體分離(CHDF)技術在粒度分析方面的應用。
Introduction：
介紹：
Particle sizing techniques can be grouped into High-Resolution (Fractionation) and Ensemble techniques (1). High-Resolution (HR) techniques are characterized by the fact that particles are fractionated according to size and/or mass during particle size analysis. Ensemble techniques perform measurements on all particles simultaneously without physical separation. HR particle size analyzers include Capillary Hydrodynamic Fractionation (CHDF), Field-Flow Fractionation, Single-Particle Counting, and Disc Centrifugation. Ensemble techniques include Laser Diffraction, Photon-Correlation Spectroscopy (PCS), acoustic-attenuation spectroscopy, and Turbidimetry. Electron Microscopy is in a class by itself as it offers high resolution but particles are not fractionated during analysis.
顆粒測量技術可分為高分辨(分離)技術和Ensemble粒度分析技術《1》。高分辨率技術的特點是因為在顆粒測量分析的過程中，粒子可以根據大小或者質量的不同而進行分離。Ensemble粒度分析技術在沒有物理分離的情況下對所有粒子同時進行測量。高分辨的粒度分析技術包括毛細管流體分離(CHDF)、場流分離、單顆粒計數和圓盤離心組成。Ensemble粒度分析技術包括激光衍射、數字相關技術(PCS)、聲衰減光譜和濁度測定方法等。電鏡也屬于高分辨粒徑測量的技術，但是其并不能在分析的過程中將顆粒進行分離。
補充說明（內容來自網絡）：
1. 場流分離（Field flow fractionation—FFF）為適用于大分子、膠體和微粒的分離技術，使欲分離成分之流液流經上下平板構成扁平帶狀通道，并將一場垂直施加于通道。場將導致不同成分處在距下壁不同的位置上，移動速度因而不同，以達到分離的目的。 場流分離，可將“流”通過不對稱場如電場，重力場，熱場或半透膜。
該技術基本原理是大分子流過扁平通道，同時受到水平（channel flow）和垂直方向（cross flow）的流場作用；尺寸相對小的分子，受垂直方向的作用力較小，而向扁平通道中心平移擴散；而尺寸相對較大的分子，受垂直方向的作用力較大而更靠近聚集壁（accumulated wall）。從而在垂直方向形成尺寸（size）梯度。而流體在扁平通道內，越靠近中心，流速越快，而越靠近邊緣，流速越均勻和越緩慢。因此，尺寸相對較小的組分先被后端檢測器檢測到；而較大尺寸的組分隨后被檢測。
2. Disc Centrifugation圓盤離心沉降法的原理是重力或者離心力使得懸浮在樣品轉盤腔內的顆粒可以產生沉降或離心運動。大顆粒運動較快，小顆粒運動較慢，隨著時間的增加，大小顆粒自然分級并依次通過靠近轉盤腔底內部的檢測器，因而具有高的分辯率。
HR techniques offer a strong advantage in that they produce true particle size distribution (PSD) data. HR-based devices can in principle detect the presence of multiple particle size populations without making significant assumptions. On the other hand, HR devices tend to be more complicated to operate than ensemble instruments. Ensemble instruments produce mainly mean particle size and standard deviation data. Any mean particle size value can be produced by an infinite number of PSD curves. This ill-conditioned problem, along with the fact that calculated PSD’s vary significantly with minor noise in the raw data, force most ensemble devices to assume a priori the shape of the PSD (2). Despite these issues, ensemble devices are much more widely used than HR instruments. The two main reasons seem to be the following. Ensemble instruments are easier to use, and are more widely applicable to different types of dispersion/colloidal samples.
這種高分辨率的技術在真實的粒度分布（PSD）表征方面有非常明顯的優勢。一方面，基于這種高分辨率的技術可以用來分析多組分的復雜粒度體系，并不需要作出任何假設。但另一方面，這種高分辨率的技術設備運行往往相對統Ensemble粒度分析操作更復雜。Ensemble粒度分析技術可以提供平均粒徑和標準偏差。任何平均粒徑值都可以由無限條PSD曲線生成。這個原理的缺陷問題，會使得在只有少量噪聲的情況下原始數據中計算出的PSD值變化很大，這迫使大多數Ensemble粒度分析設備需要預先假定PSD的形狀《2》。盡管存在這些問題，Ensemble粒度分析設備比這種高分辨的技術應用往往更廣泛。主要是有兩個主要原因：Ensemble粒度分析設備更易于使用，更廣泛地適用于不同類型的分散/膠體樣品。
Figure 1- Particle size-based fractionation in CHDF.
圖1. CHDF的顆粒分離示意圖
Figure 1 describes the particle size-based fractionation process in CHDF. Larger particles exit the fractionation open capillary ahead of smaller ones (3). A UV detector is typically used as a particle-concentration detector. Such particle fractionation occurs because of a particle-size exclusion effect, plus colloidal forces affecting the particle motion. The latter consist mainly of particle/capillary electric double layer repulsion, and a lift force exerted by the moving fluid on the particles (4).
圖1描述了毛細管流體分離(CHDF)技術中不同顆粒大小的分離過程的原理示意圖。較大的顆粒比較小的顆粒先離開分離的毛細管《3》。一個紫外線探測器被用來檢測粒子濃度。毛細管流體分離(CHDF)實現的粒子分離是由于粒子大小的排斥效應，加上影響粒子運動的膠體力。后者主要由顆粒電荷/毛細管電荷雙電層斥力和運動的流體對微粒施加的升力組成《4》。
Figure 2. Two different samples analyzed by CHDF. Both have the same Volume-average (mean) particle size of 226 nm even though the PSD’s are different.
圖2-兩個不同的樣品的CHDF測試數據.
兩個樣品相同的體積平均粒徑但是PSD是不一樣的。
Figure 2 shows CHDF2000 PSD data from two different polystyrene samples with the same volume-average mean particle size value of 226 nm even though their PSD’s are noticeably different. This data exemplifies the risks of relying exclusively on mean particle size data. These samples will behave differently despite their identical mean particle size.
圖2顯示了兩種不同的聚苯乙烯樣品的CHDF2000 PSD測試數據，即使他們具有相同的體積平均粒徑值226 nm，但是它們的PSD值有明顯的不同。這些數據說明了完全依賴平均粒徑數據的風險。盡管這些樣品的平均粒徑相同，但它們的PSD分布卻不同。
It is in principle possible for a sample with a 226 nm mean particle size not to contain any 226 nm particles. This constitutes another disadvantage of relying on mean particle size data alone.
對于平均粒徑為226 nm的樣品，實際上卻可以并不包含任何226 nm的顆粒。這構成了僅依賴平均粒徑數據的另一個缺點。
This paper describes efforts to expand the applicability of CHDF to different types of dispersed systems, including expanding its particle size analysis range. Also, a process on-line CHDF setup with automated sample dilution is presented.
本文描述了毛細管流體分餾（CHDF）技術在不同類型的分散系統中的適用性，包括擴大其粒度分析范圍。同時，提出了一種自動稀釋樣品的毛細管流體分離(CHDF)在線檢測方法。
Experimental：
實驗部分：
CHDF measurements were performed using a commercial CHDF2000 high resolution particle size analyzer from Mass Applied Sciences, Northborough, MA (5). Various colloidal samples were used. Polystyrene samples were obtained from Duke Scientific (Indianapolis, IN), and Seradyn (Indianapolis,
IN).
高分辨率的毛細管流體分離(CHDF)粒度測量技術，是由位于美國-馬薩諸塞州Mass Applied Science（MAS）公司研發和生產的《5》。并測試了不同的膠體樣品。聚苯乙烯粒子樣品來自于Duke和Seradyn (Indianapolis, IN)。
Nanoparticle Size Analysis：
納米顆粒大小分析：
Small particles, especially under 50 nm, are becoming more widely manufactured and employed in various intermediate and final colloidal products. Accurate particle size analysis of these small particles is essential. Small particles offer a large total surface area. Secondary smaller particle size populations can be unexpectedly present in any dispersion. Such smaller particles can sharply influence the performance of any dispersion. Additionally, a small number of larger particles can posse difficulties, e.g., larger particles in inkjet printing inks can plug ink conduits in today’s inkjet printers.
小顆粒，特別是50nm以下的小顆粒，正在越來越廣泛地被制造和應用于各種膠體的中間和最終產品中。準確分析這些小顆粒的粒徑是至關重要的。小顆粒提供了很大的總表面積。在任何分散體中都可能出現次級較小粒徑的粒子群。如此小的粒子可以極大地影響任何分散體系的性能。此外，少數較大的顆粒會造成困難，例如，在噴墨打印機中較大的顆粒會堵塞墨道。
Particle sizing of nanoparticles is difficult for most particle sizing techniques. Because of refractive index issues, as well as the fact that larger particles mask smaller particles, ensemble-type measurements such as Laser Diffraction and Photon Correlation Spectroscopy (PCS) have difficulty analyzing such nanoparticles. High-resolution devices such as disc centrifuges are also limited due to the lack of tendency of nanoparticles to sediment, even under strong centrifugal fields.
納米粒子的粒徑測定是目前大多數粒徑測定技術的難點。由于折射率問題，以及大顆粒掩蓋小顆粒的事實，像激光衍射和光子相關光譜(PCS)等Ensemble粒度分析技術很難分析這樣的納米顆粒。像圓盤離心機這樣的高分辨率設備也會受到此限制，因為即使在強離心場下，納米粒子也不易沉積。
Figure 3. Effects of capillary inner diameter and eluant ionic strength and average velocity on CHDF resolution and particle size fractionation range.
圖三-毛細管內徑、淋洗液離子強度和平均流速對
毛細管流體分離(CHDF)分辨率和粒度分離范圍的影響。
Fig. 3 illustrates the effects of capillary ID, eluant average velocity, and eluant ionic strength on the resolution and particle-size fractionation range. As the capillary ID increases, so does the sample volume in the capillary. This increase in sample volume is due to the fact that the waste/fractionation split ratio changes (6), i.e. more sample flows into the fractionation capillary relative to the “waste” stream. Such increase in fractionated-sample volume results in stronger particle detection in the CHDF particle-concentration detector, usually a UV detector.
圖3描述了毛細管內徑、洗脫液平均流速、洗脫液離子強度對顆粒分離范圍和分辨率的影響。隨著毛細管內徑的增加，毛細管中的樣品體積也隨之增加。樣品體積的增加是由于廢廢液/分離樣品分流比的變化《6》，相對于廢液流，更多的樣品流入分餾毛細管。分餾樣品體積的增加使得毛細管流體分離(CHDF)顆粒濃度檢測器（通常是UV檢測器）的顆粒檢測能力增強。
Conversely, fractionation resolution increases as the capillary ID is reduced (7). This is due to several compounding factors as follows: (i) the particle exclusion layer is larger relative to the capillary ID, (ii) the lift force is stronger, and (iii) the particle fractograms are narrower due to lower axial dispersion.
相反，隨著毛細管內徑的減少，分離的分辨率增加《7》。這主要是由以下幾個復合因素造成的:（i）顆粒排斥層相對于毛細管內徑較大；（ii）升力較強；(iii)由于軸向彌散較低，顆粒斷口較窄。
The upper particle size limit decreases with decreasing capillary ID. Physically, larger particles can flow in a larger-ID fractionation capillary; also, the lift force is lower for larger-ID capillaries; this allows fractionation among larger particles.
粒徑上限隨毛細管內徑的減小而減小。物理上，較大的顆粒可以在較大的內徑分餾毛細管中流動；同樣，對于較大的內徑毛細管，提升力較低，可以用來進行較大的顆粒的分離。
The eluant average velocity also plays a role on the resolution and particle size range. As the eluant average velocity in increased, large-particle size fractograms become narrower. This Fractogram narrowing is due to the increase in lift force strength which forces larger particles to travel closer together. As the lift force increases, the upper particle size fractionation limit decreases similarly to reducing the capillary ID (8).
淋洗液平均流速也對其分辨率和粒徑檢測范圍也有影響。隨著洗脫液平均流速的增加，大顆粒尺寸的斷口變得越來越窄。這種斷口變窄是由于提升力強度的增加，從而迫使較大的顆粒更接近地一起移動。隨著升力的增大，顆粒粒度的分離上限減小，與減小毛細管內徑值結果相似《8》。
Suitable capillary ID and length, plus the eluant ionic strength and mean velocity can be combined to produce high resolution PSD data as shown in figures 4 and 5. Data is shown for the fractionation of eight particle size populations in less than 10 minutes.
合適的毛細管內徑和長度，加上合適的洗脫液離子強度和平均速度，可以組合起來得到高分辨率的PSD數據，如圖4和5所示。數據顯示了在不到10分鐘內對8個粒徑粒子的分離。
Figure 4. CHDF fractionation UV-detector raw data for a blend of 8 polystyrene calibration standards.
圖4-CHDF-UV檢測器對8種混合聚苯乙烯標準粒子的原始測試數據
Figure 5. CHDF PSD data for an 8-mode polystyrene blend.
圖5-8種聚苯乙烯共混物的CHDF PSD數據。
This blend is composed of (from left to right on the raw-data graph) 800, 605, 420, 310, 240, 150, 60, and 20 nm. The peak separation on the raw data graph can be enhanced further by simply lengthening the fractionation time. The raw data peaks appear more overlapped than on the PSD. The reason is that a deconvolution procedure has been applied in the PSD computations (9). The deconvolution computations are similar to those used in Gel Permeation Chromatography for incorporating into the PSD computations axial dispersion of particles during capillary flow. Axial dispersion broadens the Fractogram width.
這種混合物由800、605、420、310、240、150、60和20nm組成（從原始數據圖的左到右）。通過簡單地延長分離時間，可以進一步增強原始數據圖上的峰分離。原始數據峰值看起來比PSD上的重疊更多。其原因是在PSD計算中應用了反卷積方法《9》。反卷積計算類似于凝膠滲透色譜法，用于將毛細管流動過程中顆粒的軸向彌散納入PSD計算。軸向彌散使裂縫寬度變寬。
補充說明（內容來自網絡）：
1. Deconvolution反卷積算法：
在數學中，反卷積是一種基于算法的過程，用于反轉卷積對記錄數據的影響。 反卷積的概念廣泛用于信號處理和圖像處理技術。 由于這些技術反過來在許多科學和工程學科中廣泛使用，因此反卷積可以應用到許多領域。反卷積是信號處理中一類基本問題,廣泛應用于信道均衡、圖像恢復、語音識別、地震學、無損探傷等領域,也可應用于未知輸入估計和故障辨識問題。
褶積(又名卷積)和反褶積(又名去卷積)是一種積分變換的數學方法,在許多方面得到了廣泛應用。在泛函分析中，卷積、旋積或摺積(英語：Convolution)是通過兩個函數f 和g 生成第三個函數的一種數學算子，表征函數f 與g經過翻轉和平移的重疊部分函數值乘積對重疊長度的積分。
2. Gel Permeation Chromatography凝膠滲透色譜法：
凝膠滲透色譜(Gel Permeation Chromatography、GPC)是1964年，由J.C.Moore首先研究成功。不僅可用于小分子物質的分離和鑒定，而且可以用來分析化學性質相同分子體積不同的高分子同系物。(聚合物在分離柱上按分子流體力學體積大小被分離開）。
CHDF offers a useful alternative for nanoparticle analysis due to the fact that larger particles do not mask the presence of small particles, as well as, nanoparticle analysis is as easy and accurate as for larger particles. However, CHDF also faces difficulties in analyzing particles smaller than 20 nm. These particles are difficult to quantify in the presence of larger particles due to large differences in UV-light extinction cross section (10). These difficulties are shown in the well-known Beer-Lambert’s law equation as follows:
D.O. = N Rext χ [1]
Where D.O. is the UV-detector output, N is the number of particles per unit volume, Rext is the particle extinction cross section, and χ is the UV-detector flow-cell path length. Equation [1] allows the calculation of N for each individual slice of particles exiting the CHDF fractionation capillary. N computations are susceptible to minor noise in D.O. when a sample contains particles under 20 nm along with larger particles, e.g. particles over 500 nm.
由于大顆粒不會掩蓋小顆粒的存在，毛細管流體分離(CHDF)為納米顆粒分析提供了一種有用的替代方法，讓納米顆粒分析與大顆粒分析一樣簡單和準確。然而，CHDF在分析小于20nm的顆粒時也會面困難。由于紫外消光截面的巨大差異，這些粒子在較大粒子存在時很難量化《10》。這些困難顯示在著名的比爾-朗伯定律方程如下：
D.O. = N Rext χ [1]
這里D.O.是紫外線探測器輸出，N是單位體積的粒子數，Rext是粒子消光界面，χ是紫外檢測器流動池路徑長度。方程允許計算出毛細管流體分離(CHDF)細管中每一片顆粒的N。當樣品含有小于20nm的粒子和較大的粒子（例如大于500nm的粒子）時， N的計算容易D.O.中微小噪聲的影響。
Figure 6. Extinction cross section for polystyrene particles in water. Curve generated from Mie theory computations.
圖6-由Mie理論計算得到的聚苯乙烯顆粒在水中的消光截面。
Figure 6 shows an extinction cross section curve for polystyrene particles in water. This curve was generated from Mie-theory computations built into the operating software on the commercial CHDF2000 device.
圖6顯示了聚苯乙烯顆粒在水中的消光截面曲線。此曲線是CHDF2000設備上的操作軟件中，內置的Mie理論計算生成的。
Figure 6 shows that there are several orders of magnitude between the Rext of particles smaller than 20 nm and those larger than 500 nm. Consequently, small D.O. errors become largely amplified in the computation of N.
從圖6可以看出，小于20nm和大于500nm的顆粒之間存在幾個數量級的Rext。因此，微小的D.O.誤差在N的計算中被極大地放大。
Figure 7. CHDF UV-detector raw data output for a 5-nm nominal particle size silica.
圖7- CHDF紫外檢測器得到的5nm二氧化硅粒子的原始輸出數據。
Figure 8. CHDF PSD for a 5-nm nominal particle size silica sample.
圖8- CHDF得到的5nm二氧化硅粒子的粒度分布圖。
Despite the challenges described above, the CHDF2000 device was able to accurately perform particle sizing measurements of silica particles under 20 nm as shown in Figures 7 and 8.
盡管存在上述挑戰，美國MAS的CHDF2000設備仍能夠準確地對20nm以下的二氧化硅顆粒進行準確的粒度分析，如圖7和8所示。
The accurate measurement of these small particles was achieved by maximizing resolution and particle-detection sensitivity. This required optimizing the combination of suitable capillary diameter and length, and eluant ionic strength and average velocity.
美國MASS生產研發CHDF系列設備通過優化合適的毛細管直徑和長度、洗脫液離子強度和平均流速的組合，讓設備的分辨率和粒子檢測靈敏度達到很大化，實現了對這些小粒子的精確測量。
The CHDF raw data in figure 7 shows two main peaks located at 8.5 and 8.7 minutes. The peak at 8.7 minutes is believed to originate from UV-absorbing molecules in the sample such as surfactants, electrolytes, and acid or base molecules (11). These molecules exit the capillary last because their particle size is smaller than that of the silica particles. The molecular peak does not appear in the PSD graph of figure 8 because its particle size is below the low computational limit of 1 nm.
從圖7的原始數據可以看出，在8.5和8.7分鐘出有兩個主要的峰。8.7分鐘時的峰值被認為是來自樣品中的紫外線吸收分子，如表面活性劑、電解質、酸或堿分子《11》。這些分子最后離開毛細管是因為它們的粒徑小于二氧化硅顆粒。分子峰不出現在圖8的PSD圖中，因為其粒徑低于1nm的計算下限。
Figure 8 presents the PSD for this silica sample. A lognormal PSD shape is obtained ranging from 1 nm to 30 nm. The mode is located at 4 nm.
圖8顯示了這個二氧化硅樣品的PSD分布。得到了1～30nm的對數正態PSD形狀。PSD的峰值位于4nm處。
In order to achieve the maximum resolution required for these small particles (7) a low ionic strength (0.1 mM) carrier fluid was used in conjunction with a 5-micron ID fused silica capillary.
為了獲得檢測這些小顆粒所需的最大分辨率《7》，低離子強度(0.1 mM)載體流體與5μm管徑熔融石英毛細管一起使用。
CHDF Particle Size Analysis of Micron-Sized Particles：
CHDF技術分析微米級顆粒：
CHDF has been commonly used for analysis of particles below 1 micron in size. As mentioned above, larger particles are typically subject to a “Lift Force” in the fractionation capillary. The lift force pushes larger particles toward the center of the capillary. The Lift force is proportional to the ratio of particle to capillary radii, and to the eluant average velocity. Thus, lowering the eluant average velocity along with using larger-ID fractionation capillaries reduce the lift force and extend the CHDF particle size upper limit.
毛細管流體分離(CHDF)通常用于分析1μm以下的顆粒。如前所述，較大的顆粒在分離毛細管中通常受到升力的作用。升力將較大的顆粒推向毛細管的中心。升力與顆粒毛細管半徑之比及洗脫液平均速度成正比。因此，降低洗脫液平均流速，同時使用大粒徑分離毛細管，可以降低升力，提高CHDF粒徑檢測上限。
Figure 9. CHDF UV-detector raw data output for a blend of 5μm, 1μm, and 0.1μm polystyrene latex standards. Sodium benzoate “marker” is injected about 1 minute after the blend.
圖9- 5,1, 0.1μm三種混合體系的CHDF UV檢測器原始數據圖。
苯甲酸鈉“標記物”在混合后約1分鐘注射。
Fig. 9 shows CHDF UV-detector vs. time fractionation data for a blend of 5, 1, and 0.1-micron polystyrene standards. The marker is injected about one minute after the blend. This data shows that CHDF fractionation is indeed able to fractionate particles larger than one micron. However, it is desirable to increase the fractionation resolution further in order to enhance particle size analysis capability for these larger particles. Further work is in progress.
圖9顯示了5μm、1μm和0.1μm聚苯乙烯標準混合物的CHDF UV檢測器輸出數據與時間關系的原始數據。苯甲酸鈉“標記物”大約在混合后一分鐘注射。這些數據表明，毛細管流體分離(CHDF)技術確實能夠分餾大于1μm的顆粒。然而，為了提高這些較大顆粒的粒度分析能力，我們希望進一步提高分餾分辨率。進一步的工作正在進行中。
On-Line Development
在線擴展
Today, there is a lack of (process) in-line, at-line, or on-line particle size analyzers suitable for analysis of liquid dispersions. Process particle sizers can become a vital component of slurry / dispersion / latex / emulsion production. Such analyzers can provide labor savings, as well as ensure product quality. Process particle sizers must be highly accurate, reproducible, precise, and reliable (12).
目前，還缺乏適合分析液體分散的在位，近線或在線的粒度分析儀。工藝檢測的粒度儀可以成為泥漿/分散液/乳膠/乳液生產的重要組成部分。這樣的粒度分析儀可以節省勞動力，同時保證產品質量。在線工藝粒度儀必須高度精確、可重復、精確和可靠《12》。
補充說明（內容來自網絡）：
1. in-line/at-line/on-line的區別：
in line 可對應為在線，樣品在生產線上，檢測裝置也在生產線上，樣品檢測不影響工藝流；on line可對應為隨線，檢測裝置在生產線上，樣品從生產線的工藝流中轉到檢測裝置中完成檢驗；at line可對應近線，首先樣品肯定是離線的，從生產線取出，在靠近生產線的地方檢測。
2014年2月份歐盟出的工藝指南中對這三個詞的定義如下：
At line: Measurement where the sample is removed, isolated from, and analyzed in close proximity to the process stream. At line 樣品從工藝流中移除、隔開，并且在靠近工藝流的地方分析的檢測。
On line: Measurement where the sample is diverted from the manufacturing process and not returned to the process stream. On line 檢測樣品從生產工藝中轉移出來并不返回工藝流中。
In line: Measurement where the sample is analyzed within the process stream and not removed from it. In line 樣品在工藝流中進行檢測并不從中移除。
Figure 10. On-line CHDF setup equipped with sample auto-dilution.
圖10。CHDF配備樣品自動稀釋的在線設置。
Fig. 10 shows a schematic diagram of an on-line CHDF device. The CHDF2000 unit used here is identical to the off-line device available commercially (Matec Applied Sciences, Northborough, MA). With the off-line device, samples are injected into the fractionation capillary using either an on-board manual HPLC type injection valve or an HPLC auto-sampler. In the on-line setup, the sample flows directly from the process into an automated injection valve. The automated injection valve is actuated by the CHDF2000 on-line software in order to make sample injections every 5-10 minutes.
圖10為在線CHDF裝置的原理圖。這里使用的組件單元與美國MAS市售的脫機設備CHDF2000完全相同(Mass Applied Sciences, 馬薩諸塞州, MA)。通過脫機裝置，樣品可通過車載手動高效液相色譜注射閥或高效液相色譜自動進樣器注入分餾毛細管。在在線設置中，樣品直接從產線流向一個自動注入閥。自動進樣閥由CHDF2000在線軟件驅動，每5-10分鐘進樣一次。
This particular arrangement has been used with a batch-polymerization reactor. This on-line device can also be used with continuous or semi-continuous reactors, as well as steady-state slurry streams.
這種特殊的排列方式已用于分批聚合反應器。該在線裝置也可用于連續或半連續反應器，以及穩態泥漿流的反應監測。
The percent solids level of a batch polymerization reactor starts at zero and increases with time (13). The on-line CHDF setup must be able to handle this constant increase (CHDF analysis is typically performed in the weight-percent solids range of 0.1 to 5%). The analysis process is as follows:
間歇式聚合反應器的固體含量從零開始隨時間逐漸增加《13》。在線CHDF軟件設置必須能夠處理這種恒定的增加(CHDF分析通常在重量-固體百分比0.1到5%的范圍內執行)。分析過程如下：
A “drip” line connected to the reactor system takes a steady stream of sample through the remotely-actuated (HPLC) injection valve. The sample is diluted as needed at point D. The injection valve automatically takes samples from the drip line and performs sample injections into the CHDF fractionation capillary every few minutes. CHDF eluant continuously flows through the injection valve in order to carry the samples into the fractionation capillary. The dilution valve sets the diluent vent (Y)/dilution (D) split ratio.
連接到反應器系統的“滴水”管線通過遠程驅動（HPLC）注射閥獲取穩定的樣品流。樣品按需要在D點稀釋。注入閥自動從滴管中抽取樣品，每隔幾分鐘將樣品注入CHDF分離毛細管。CHDF洗脫液通過注入閥連續流動，將樣品帶入分離毛細管。稀釋閥設置稀釋液排出（Y）/ 稀釋液（D）分流比。
In order to eliminate the need for a diluent pump, the effluent (E) from the CHDF is used as diluent. E is split at the dilution valve into a vented (Y), and a diluent (DFR) portion.
為了消除稀釋泵的需要，CHDF的流出物（E）被用作稀釋劑。E在稀釋閥處分成一個排出(Y)和一個稀釋劑(DFR)部分。
Valves T1 and T2 allow the use of an HPLC auto-sampler for calibration standard analysis. The operator can thus perform periodic performance tests of the on-line CHDF setup.
閥門T1和T2允許使用高效液相色譜自動采樣器進行校準標準分析。因此，操作員可以對聯機CHDF設置執行定期性能測試。
The CHDF software calculates the area under each Fractogram. The dilution level is calculated by comparing the current Fractogram area to a pre-established suitable area value as follows:
DFR = C*PA/FA [2]
CHDF軟件計算每個分形圖下的面積。稀釋水平的計算方法是將當前的分形圖面積與預先設定的適當面積值進行比較，如下所示：
DFR = C*PA/FA [2]
Where DFR is the diluent flow rate, C is a constant, PA is the pre-established (acceptable) Fractogram area, and FA is the sample fractogram area. DFR is set by sending a 0-5 volt signal to the dilution valve. As DFR increases, the vented (Y) eluant flow rate decreases.
其中DFR為稀釋劑流量，C為常數，PA為預先設定的(可接受的)分形圖面積，FA為樣品分形圖面積。DFR是通過向稀釋閥發送0-5伏信號來設置的。隨著DFR的增大，流出(Y)淋洗液流量減小。
PSD data files are saved to a network location. A Honeywell PlantScape process control system reads the PSD data and performs process control steps such as valve opening/closing and reactor temperature adjustment.
PSD數據文件保存到網絡位置。霍尼韋爾PlantScape過程控制系統讀取PSD數據并執行過程控制步驟，如閥門打開/關閉和反應堆溫度調節。
Figures 11 and 12 show polyvinyl acetate CHDF data collected from an on-line device connected to a batch reactor.
圖11和圖12顯示了從連接到間歇式反應器的在線設備上收集到的聚醋酸乙烯CHDF數據。
Figure 11. On-line CHDF UV-detector output for a PVA latex from a batch reactor.
圖11-聚乙烯醇乳膠在一批反應器在線CHDF紫外檢測器輸出數據
Figure 12. On-line CHDF PSD data for PVA latex from a batch reactor.
圖12- 聚乙烯醇乳膠在一批反應器在線CHDF PSD檢測器輸出數據
Conclusions：
結論：
CHDF particle size fractionation can be used for high-resolution particle size analysis of dispersions in the particle size range of 2 nm to 5 microns. A process on-line particle sizer has been implemented based on CHDF fractionation. This on-line device is capable of performing automatic sample dilution, and interfacing with a Honeywell Plant Control system.
毛細管流體分離(CHDF)粒度分離技術可用于2nm ~ 5μm范圍內的分散體的高分辨率粒度分析。在毛細管流體分離(CHDF)的基礎上，實現了一種工藝在線粒度儀。該在線裝置能夠自動稀釋樣品，并與霍尼韋爾工廠控制系統接口。
Acknowledgements：
致謝：
The author would like to thank Dr. Tim Crowley for sharing some of the CHDF on-line data presented here.
作者要感謝Tim Crowley博士與我們分享CHDF在線數據。
References：
參考文獻：
1. Barth, H. G., and Flippen, R. B., Anal. Chem., 67, 257R-272R, 1995.
2. Weiner, B. B., and Tscharnuter, W. W., in Particle Size Distribution: Assessment and Characterization, ACS Symp. Series 332, p. 48, 1987.
3. Silebi, C. A., and DosRamos, J. G., AIChE J., 35, 165, 1989.
4. DosRamos, J. G., Ph.D. Dissertation, Lehigh U., 1988.
5. www.matec。。ｃｏｍ/www.yh-tek。。ｃｏｍ
6. DosRamos, J. G., and Silebi, C. A., J. Coll. Int. Sci., 135, 1, 1990.
7. Venkatesan, J., DosRamos, J. G., and Silebi, C. A., in Particle Size Distribution II: Assessment and Characterization, ACS Symp. Series 472, p. 279, 1991.
8. DosRamos, J. G., in Particle Size Distribution III: Assessment and Characterization, ACS Symp. Series 693, p. 207, 1998.
9. Silebi, C. A., Ph.D. Dissertation, Lehigh U., 1977.
10. Bohren, C., and Huffman, D. R., Absorption and Scattering of Light by Small Particles, Wiley Interscience Publication, 1983.
11. DosRamos, J. G., and Silebi, C. A., Polym. Int., 30, 445, 1993.
12. Venkatesan, J., and Silebi, C. A., in Particle Size Distribution III: Assessment and Characterization, ACS Symp. Series 693, p. 266, 1998.
13. Dr. Tim Crowley, U. Delaware, direct communication.
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