Toledo-Martín EM, García-García MDC, Font R, Moreno-Rojas JM, Salinas-Navarro M, Gómez P, Del Río-Celestino M. Quantification of Total Phenolic and Carotenoid Content in Blackberries (
Rubus Fructicosus L.) Using Near Infrared Spectroscopy (NIRS) and Multivariate Analysis.
Molecules 2018;
23:molecules23123191. [PMID:
30518067 PMCID:
PMC6321251 DOI:
10.3390/molecules23123191]
[Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2018] [Revised: 11/29/2018] [Accepted: 11/30/2018] [Indexed: 11/16/2022] Open
Abstract
A rapid method to quantify the total phenolic content (TPC) and total carotenoid content (TCC) in blackberries using near infrared spectroscopy (NIRS) was carried out aiming to provide reductions in analysis time and cost for the food industry. A total of 106 samples were analysed using the Folin-Ciocalteu method for TPC and a method based on Ultraviolet-Visible Spectrometer for TCC. The average contents found for TPC and TCC were 24.27 mg·g−1 dw and 8.30 µg·g−1 dw, respectively. Modified partial least squares (MPLS) regression was used for obtaining the calibration models of these compounds. The RPD (ratio of the standard deviation of the reference data to the standard error of prediction (SEP)) values from external validation for both TPC and TCC were between 1.5 < RPDp < 2.5 and RER values (ratio of the range in the reference data to SEP) were 5.92 for TPC and 8.63 for TCC. These values showed that both equations were suitable for screening purposes. MPLS loading plots showed a high contribution of sugars, chlorophyll, lipids and cellulose in the modelling of prediction equations.
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