Following a general trend in paleo-environmental research, a considerable and still growing number of luminescence dating studies have been focusing on sediment archives providing information on environmental conditions beyond the last glacial-interglacial cycle. This trend caused a revival of IRSL-based dating approaches using feldspar minerals. As a consequence, the long-known but still poorly understood problem of anomalous fading and various correction methods are gaining increasing importance. In order to cope with the challenge of fading, several new measurement protocols aiming at reducing or completely avoiding fading were proposed. However, these approaches are either still experimental (e.g., infrared radiofluorescence), have only been applied to a limited number of natural samples (e.g., infrared photoluminescence) or are the subject of ongoing scientific discussions (e.g., postIRIR-protocols).

Anomalous fading therefore remains a severe problem for feldspar-based luminescence measurements, and fading correction will thus be of crucial importance for reliable age calculations. Some of the proposed correction methods require fully-constructed dose response curves (DRCs) to accurately constrain D₀-and saturation values, which is indispensable for mathematically accurate corrections. Recording such DRCs requires the consideration of high-dose points for a large number of aliquots, corresponding to long-lasting measurement times that pose challenges for resources in routine dating applications.

The concept of standardized growth curves (SGC) might provide a promising solution for this problem. Here, we present results obtained from a comprehensive study assessing the potential of SGC-based approaches for improving the applicability and performance of fading correction procedures. In particular, our study is focusing on the fading correction model proposed by Kars et al. (2008), which is fundamentally based on the findings published by Huntley (2006). The applied performance test comprises various natural samples representing a variety of fading rates and covering different locations as well as sedimentary environments.

遵循古环境研究的总体趋势，大量且仍在增长的发光测年研究一直关注沉积物档案，以提供有关最后一次冰期-间冰期之后的环境条件的信息。这一趋势导致了基于 IRSL 的使用长石矿物的测年方法的复兴。因此，长期已知但仍知之甚少的异常衰落问题和各种校正方法正变得越来越重要。为了应对衰落的挑战，提出了几种旨在减少或完全避免衰落的新测量协议。然而，这些方法要么仍处于实验阶段（例如，红外辐射荧光），要么仅应用于有限数量的天然样品（例如，

因此，异常衰落对于基于长石的发光测量来说仍然是一个严重的问题，因此衰落校正对于可靠的年龄计算至关重要。一些建议的校正方法需要完全构建的剂量响应曲线 (DRC) 以准确约束 D ₀和饱和值，这对于数学上准确的校正是必不可少的。记录此类 DRC 需要考虑大量等分试样的高剂量点，这对应于对常规测年应用中的资源构成挑战的持久测量时间。

标准化增长曲线 (SGC) 的概念可能会为这个问题提供一个有希望的解决方案。在这里，我们展示了从一项综合研究中获得的结果，该研究评估了基于 SGC 的方法在提高衰落校正程序的适用性和性能方面的潜力。特别是，我们的研究重点是 Kars 等人提出的衰落校正模型。（2008 年），这基本上基于 Huntley（2006 年）发表的研究结果。应用性能测试包括代表各种褪色率并覆盖不同位置和沉积环境的各种天然样品。