Organic acids and alcohols quantification by HPLC/RID in sugarcane vinasse: analytical method validation and matrix effect assessment

• Published in: International journal of environmental analytical chemistry Vol. 101; no. 3; pp. 325 - 336
• Main Authors: Bernardes, Alan Nascimento, Godoi, Leandro Augusto Gouvêa, Camiloti, Priscila Rosseto, Gomes, Absai da Conceição, Sanchez, Bruna Larissa Sandy, Torres, Ana Paula Rodrigues, Botta, Lívia Silva
• Format: Journal Article
• Language: English
• Published: Abingdon Taylor & Francis 19.02.2021; Taylor & Francis LLC
• Subjects: Acetic acid; Acids; Alcohol; Alcohols; analytical validation; Butanol; Butyric acid; Carbohydrates; Citric acid; Composition effects; Ethanol; Fermentation; Glycerol; Hexanoic acid; High performance liquid chromatography; HPLC; Lactate; Lactic acid; Linearity; Liquid chromatography; Molasses; Organic acids; Organic compounds; Propionic acid; Refractive index; Refractivity; standard addition method; Substrates; Succinic acid; Sugarcane; Valeric acid; Vinasse; vinasse composition; Wastewater; wastewater characterisation
• ISSN: 0306-7319; 1029-0397
• DOI: 10.1080/03067319.2019.1666833

The composition of sugarcane vinasse varies according to the substrate of alcoholic fermentation, e.g. if it is sugarcane juice and/or molasses. Regardless of the origin, the main organic compounds found in sugarcane vinasse are organic acids, alcohols and a low amount of carbohydrates. To access the organic composition of such wastewater, the present paper describes a high-performance liquid chromatography (HPLC) separation method coupled to a Refractive Index Detector (RID) in order to quantify the organic acids (C1 to C6) and alcohols in sugarcane vinasse. The analysed substances were acetic acid, butyric acid, caproic acid, citric acid, lactic acid, propionic acid, succinic acid, valeric acid, butanol, ethanol, glycerol and methanol. A validation study of the method was performed taking into account the matrix effect exerted by vinasse samples in natura. In conclusion, it was proved that the method is suitable for assessing the organic composition of vinasse: able to separate 12 analytes, with excellent linearity (R 2 > 0.999), with adequate working ranges, high precision (recovery ranging from 83% to 102%), and low matrix effects (<5%).