Abstract
This paper presented a facile and efficient HPTLC method for quantifying riboflavin fortification in rice noodle that was a staple food popular in Asian countries. After high-throughput separation on silica gel plates with methanol/ethyl acetate/triethylamine (3/7/1, v/v/v) as the mobile phase, the obtained results were analyzed by fluorescence densitometry (mercury lamp, 360 nm excitation wavelength in combination with K400 optical filter). Quantification in this way offered high linearity (R2 = 0.9998 within 10–80 ng/band) and precision (RSD < 5.2%), adequate detectability (LOD = 0.1 and LOQ = 0.3 mg/kg), and accuracy (spike-recovery rates within 91.4–105.1%, RSD < 8.1%). While yielding good comparison to conventional HPLC detection, the developed quantification featured superiorly high efficiency. Apart from that, the separation results were further evaluated by SERS. By jointly using sodium borohydride reduced AgNPs as the active substrate and 633 nm incident laser wavelength, the developed HPTLC-SERS detection gave clear and sensitive fingerprint-like proof which enabled unambiguous confirmation by visual inspection. Balancing well between simplicity, detectability, efficiency, and reliability, the proposed method exemplarily shown the promising applicability of HPTLC as a versatile tool in food analysis.
Similar content being viewed by others
References
Álvarez-Puebla RA (2012) Effects of the excitation wavelength on the SERS Spectrum. J Phys Chem Lett 3(7):857–866
Bui LTT, Small DM (2009) Riboflavin in Asian noodles: the impact of processing, storage and the efficacy of fortification of three product styles. Food Chem 114(4):1477–1483
Chen Y, Schwack W (2014) High-performance thin-layer chromatography screening of multi class antibiotics in animal food by bioluminescent bioautography and electrospray ionization mass spectrometry. J Chromatogr A 1356(0):249–257
Chen Y, Huang C, Hellmann B, Jin Z, Xu X, Xiao G (2019) A new HPTLC platformed luminescent biosensor system for facile screening of captan residue in fruits. Food Chem:125691
Choma IM, Grzelak EM (2011) Bioautography detection in thin-layer chromatography. J Chromatogr A 1218(19):2684–2691
Dong X, Gu H, Kang J, Yuan X, Wu J (2010) Comparative study of surface-enhanced Raman scattering activities of three kinds of silver colloids when adding anions as aggregating agents. Colloid Surface A 368(1–3):142–147
Janči T, Mikac L, Ivanda M, Marušić Radovčić N, Medić H, Vidaček S (2017) Optimization of parameters for histamine detection in fish muscle extracts by surface-enhanced Raman spectroscopy using silver colloid SERS substrates. J Raman Spectrosc 48(1):64–72
Lee PC, Meisel D (1982) Adsorption and surface-enhanced Raman of dyes on silver and gold sols. J Phys Chem 86(17):3391–3395
Leopold N, Lendl B (2003) A new method for fast preparation of highly surface-enhanced Raman scattering (SERS) active silver colloids at room temperature by reduction of silver nitrate with hydroxylamine hydrochloride. J Phys Chem 107(24):5723–5727
Li D, Qu L, Zhai W, Xue J, Fossey JS, Long Y (2011) Facile on-site detection of substituted aromatic pollutants in water using thin layer chromatography combined with surface-enhanced Raman spectroscopy. Environ Sci Technol 45(9):4046–4052
Li Q, Yu X, Yang Y, Liu X (2018) Simple determination of diacylglycerols using thin layer chromatography and visible spectrophotometry. Food Anal Method 11(1):236–242
Li F, Sun J, Jia H, Zhang Y, Pang L, He L, Chai T (2019) A disposable paper-based sample clean-up slides for the sensitive determination of trace diethylstilbestrol residues in aquatic products. Microchem J 151:104243
Liu K-L, Zheng J-B, Chen F-S (2017) Relationships between degree of milling and loss of vitamin B, minerals, and change in amino acid composition of brown rice. LWT-Food Sci Tech 82:429–436
Mikropoulou EV, Petrakis EA, Argyropoulou A, Mitakou S, Halabalaki M, Skaltsounis LA (2019) Quantification of bioactive lignans in sesame seeds using HPTLC densitometry: comparative evaluation by HPLC-PDA. Food Chem 288:1–7
Pedan V, Weber C, Do T, Fischer N, Reich E, Rohn S (2018) HPTLC fingerprint profile analysis of cocoa proanthocyanidins depending on origin and genotype. Food Chem 267:277–287
Powers HJ (2003) Riboflavin (vitamin B-2) and health. Am J Clin Nutr 77(6):1352–1360
Premarathne JMKJK, Satharasinghe DA, Gunasena ARC, Wanigasekara A, Munasinghe DMS, Abeynayake P (2018) Thin-layer chromatographic method for quantification of sulfonamides in chicken meat. Food Anal Method 11(10):2666–2672
Qu L-L, Jia Q, Liu C, Wang W, Duan L, Yang G, Han C-Q, Li H (2018) Thin layer chromatography combined with surface-enhanced Raman spectroscopy for rapid sensing aflatoxins. J Chromatogr A 1579:115–120
Stanek N, Jasicka-Misiak I (2018) HPTLC phenolic profiles as useful tools for the authentication of honey. Food Anal Method 11(11):2978–2989
Sureshkumar V, Sarathchandra G (2018) A HPTLC-fluorescent densitometry assay for simultaneous detection of enrofloxacin and ciprofloxacin in broiler chicken tissues. Food Anal Method 11(4):1076–1085
Van Hyning DL, Zukoski CF (1998) Formation mechanisms and aggregation behavior of borohydride reduced silver particles. Langmuir 14(24):7034–7046
Wang L, Chen Y, Ye Z, Hellmann B, Xu X, Jin Z, Ma Q, Yang N, Wu F, Jin Y (2018a) Screening of phenolic antioxidants in edible oils by HPTLC-DPPH assay and MS confirmation. Food Anal Method 11(11):3170–3178
Wang L, Xu X-M, Chen Y-S, Ren J, Liu Y-T (2018b) HPTLC-FLD-SERS as a facile and reliable screening tool: exemplarily shown with tyramine in cheese. J Food Drug Anal 26(2):688–695
Wang P, Chen Y, Xu X, Hellmann B, Huang C, Bai Y, Jin Z (2019) HPTLC screening of folic acid in food: in situ derivatization with ozone-induced fluorescence. Food Anal Method 12(2):431–439
Funding
This work was financially supported by National Natural Science Foundation of China (21804058), Development and Research Center of Sichuan Cuisine Foundation (CC19Z06), Natural Science Foundation of Jiangsu Province (BK20170177) and CAMAG “Dieter Jänchen” Prize.
Author information
Authors and Affiliations
Corresponding authors
Ethics declarations
Conflict of Interest
Yisheng Chen declares that he has no conflict of interest. Caihong Huang declares that she has no conflict of interest. Bernhard Hellmann declares that he has no conflict of interest. Xueming Xu declares that he has no conflict of interest.
Ethical Approval
This article does not contain any studies with animals performed by any of the authors.
Informed Consent
Informed consent is not applicable in this study.
Additional information
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Chen, Y., Huang, C., Hellmann, B. et al. HPTLC-Densitometry Determination of Riboflavin Fortified in Rice Noodle: Confirmed by SERS-Fingerprint. Food Anal. Methods 13, 718–725 (2020). https://doi.org/10.1007/s12161-019-01694-2
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12161-019-01694-2