The proposed method as CAPoNeF (Comparative Analysis of Positive and Negative Fluctuations) allows to “read” any trendless sequence quantitatively irrespective of the imposed model and treatment errors that inevitably accompany random sequence. This method will have a wide possibility because of its generality and simplicity in possible applications. In particular, the proposed strategy makes it possible to detect weak signals in the time electrochemical series caused by the presence of random micro-impurities in the studied solutions as objects of analysis. On the example of the current-voltage time series of sugar syrups of various manufacturers, the possibility of identifying numerical parameters is shown. Hidden in the noise, analytical signals can be used to express the similarity or difference between sugars from different manufacturers.

中文翻译：

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用 CAPoNeF 方法区分不同种类的糖

所提出的方法作为 CAPoNeF（正负波动的比较分析）允许定量地“读取”任何无趋势序列，而不管强加的模型和不可避免地伴随随机序列的处理错误。由于该方法在可能的应用中具有普遍性和简单性，因此具有广泛的可能性。特别是，所提出的策略使得在作为分析对象的研究溶液中存在随机微杂质引起的时间电化学序列中检测微弱信号成为可能。以各厂家糖浆的电流-电压时间序列为例，展示了识别数值参数的可能性。隐藏在噪音中的分析信号可用于表达来自不同制造商的糖之间的相似性或差异性。