Depth-Resolved Near-Infrared Spectroscopy
Depth-Resolved Near-Infrared Spectroscopy
复制标题
深度分辨近红外光谱
DOI：
10.1366/0003702963906456
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发表时间：
1996
影响因子：
3.5
通讯作者：
J. Drennen
中科院分区：
文献类型：
--
作者：
Nadhamuni G. Nerella;J. Drennen
虽然有大量的证据证明经皮给药的成功，但在通过基质扩散期间药物浓度的深度分辨预测领域中几乎没有成就。这种用于扩散物质的非侵入性定量的方法可以帮助开发新的药物、剂型和渗透促进剂。近红外深度分辨测量是通过使用具有不同直径孔径的光阑组合来策略性地控制到达探测器的反射光的量来实现的。从一组纤维素和Silastic®膜收集近红外光谱，以证明深度分辨近红外测量的可能性。主成分回归用于估计该方法的深度分辨率，得到平均分辨率为31 μm。此外，为了证明在一个实际的体外系统中的深度分辨近红外光谱，我们确定了水凝胶基质中的水杨酸（SA）的浓度在扩散实验进行了长达三个小时。建立了一个基于人工神经网络的校正模型，该模型能准确预测SA浓度（R2 = 0.993，SEP = 123 μg/mL）。
While there is substantial evidence proving the success of transdermal drug delivery, there have been few accomplishments in the area of depth-resolved prediction of drug concentration during diffusion through a matrix. Such a method for noninvasive quantification of a diffusing species could assist in the development of new drugs, dosage forms, and penetration enhancers. Near-infrared depth-resolved measurements were accomplished by strategically controlling the amount of reflected light reaching the detectors using a combination of diaphragms with different-diameter apertures. Near-IR spectra were collected from a set of cellulose and Silastic® membranes to prove the possibility of depth-resolved near-IR measurements. Principal component regression was used to estimate the depth resolution of this method, yielding an average resolution of 31 μm. Further, to demonstrate depth-resolved near-IR spectroscopy in a practical in vitro system, we determined concentrations of salicylic acid (SA) in a hydrogel matrix during diffusion experiments carried out for up to three hours. An artificial-neural-network-based calibration model was developed which predicted SA concentrations accurately (R2 = 0.993, SEP = 123 μg/mL).
影响因子：
6.5
作者：
BOMMANNAN, D;POTTS, RO;GUY, RH
通讯作者：
GUY, RH