3.10 Optimization of ionic strength for the assay
A solution of AuNPs is a relatively stable, uniform, and single-dispersed suspension liquid. Electrolytes can disrupt the stable state of the colloids, causing the colloidal gold particles to coagulate (Holgate, 1983). To eliminate the influence of ionic salts in food (such as Na+, Cl−, K+, Ca2+, Mg2+, SO42−) to the assay, different concentrations of NaCl, KCl, CaCl2, and MgSO4 (0 M, 0.01 M, 0.1 M, and 1 M) were selected for the ionic strength optimization. The effect of ionic strength on the experiment is shown for sesame sample concentrations of 100 µg L− 1 (Fig. 4A), 300 µg L− 1 (Fig. 4B), and 400 µg L− 1 (Fig. 4C). The results showed that the assay absorbance with 0.01, 0.1M NaCl, KCl, and CaCl2 were consistent with the results of the control group (no ionic salts added). However, 1M NaCl, KCl, and CaCl2 had a greater impact on the assay sensitivity, causing a significant reduction. This might be because the high ionic strength destroyed the surface tension of proteins and the stability of the hydrogen and disulfide bonds. For MgSO4, both low ionic strength (0.01 M) and high ionic strength (1 M) affected the sensitivity of the assay. In general, the molar concentration of ions is much higher than that usually found in food and beverages. In most cases, the performance of the analysis method for these foods would not be affected by the presence of these common ions.
3.11 Optimization of pH for the assay
When the pH is equal to or slightly greater than the isoelectric point of a protein, the protein is neutral. The electrostatic interaction between the protein molecules and AuNPs was very small, whereas the surface tension of the protein molecules in the water was very large. Therefore, they could easily adsorb on the surface of the AuNPs and form a protein layer to prevent aggregation (Karyakin et al., 2000; Smita et al., 2010; Tassel et al., 2006; Wang et al., 2014). The pH of the sample solution may affect the sensitivity and the selectivity of the assay. Therefore, sesame allergens sample solution (100, 300, and 400 µg L− 1) with different pH were considered for assay optimization. As shown in Fig. 4D, the final sample solutions with pH values of 3.5, 5.5, and 7.4 inhibited the absorbance of the assay. The sample solutions with pH 8.5 and 9.5 caused nanoparticle aggregation and reduced the assay sensitivity. Therefore, the optimal pH of the sample solutions was 3.5–7.4.
3.12 Optimization of incubation time from the assay
Signal and capture probes were prepared under optimized conditions, and the incubation time for the experiment was optimized. First, 50 µL of sesame allergen solution (200, 400, and 800 µg L− 1) and 50 µL of capture probe were mixed together in PBS solution. Then, 6 µL of the signaling probe was added and mixed gently for different times (5, 10, 15, and 20 min). As shown in Fig. 4E, the absorbance value reached highest value (0.17, 0.23, 0.31) for 15 min with different concentrations of sesame allergens (200, 400, and 800 µg L− 1). Therefore, 15 min was selected as the incubation time for the assay.
3.13 Sensitivity of the assay
Under the optimized conditions above, different concentrations of sesame allergen solutions (1600, 1500, 800, 400, 300, 200, 100, 50, 25, 20, and 12.5 µg L− 1) were added to the assay for measurement. After the reaction, the sesame capture probe@signal probe immune complex was magnetically separated. The supernatant was added to 100 µL of seed growth solution, and Na2S2O3 was added to stop the reaction after 10 min. As shown in Fig. 5A and 5B, the linear range of the assay for sesame allergen detection was 50–800 µg L− 1, and the LOD was 45.53 µg L− 1. Currently, the reported detection methods for sesame allergens include TaqMan qPCR (Brzezinski, 2007), indirect competitive ELISA (Husain et al., 2010), double-antibody sandwich ELISA (Gerda et al., 2010), liquid chromatography coupled with mass spectrometry (LC–MS) (Ma et al., 2019), and liquid chromatography–tandem mass spectrometry (LC–MS/MS) (Gallien et al., 2013). Compared with these methods, our method had higher sensitivity and a shorter detection time (25 min) (Table 1).
Table 1
Comparison between this method and other reported methods for detection of sesame allergens
Analytical method | Label or probe | LOD (PBS) | LOD (samples) | Detection time (min) | References |
TaqMan qPCR | Dual fluorescent labeled DNA | 5 pg DNA | 50 mg kg− 1 (biscuit) | 120 | (Brzezinski, 2007) |
Indirect competitive ELISA | HRP-goat anti-mouse antibody | 5000 µg kg− 1 | 5 mg kg− 1 (bread) 30 mg kg− 1 (biscuit) | 150 | (Husain et al., 2010) |
Double antibody sandwich ELISA | HRP-goat anti-mouse antibody | 500 µg kg− 1 | 0.5 mg kg− 1 (bread) | 150 | (Gerda et al., 2010) |
LC-MS | – | 10000 µg kg− 1 | 10 mg kg− 1 (biscuit, bread) | | (Ma et al., 2019) |
LC-MS/MS | – | 0.4 µmol/L | 0.02 mmol L− 1 (hotpot dipping sauce, spicy chili sauce, cookie, cake, candy) | | (Gallien et al., 2013) |
Magnetic separation colorimetric immunoassay | AuNPs-Ab MPMs-SP | 45.529 µg L− 1 | 0.4 mg kg− 1 (biscuit and bread), 0.3 mg kg− 1 (almond beverage), 0.6 mg kg− 1 (energy bar) | 25 | This work |
– means no description |
3.14 Specificity of the assay
Several common allergen proteins were selected (walnut protein, β-lactoglobulin, peanut protein, lupin protein, and casein) to evaluate the assay specificity. The assay was used to analyze 800 µg L− 1 of sesame allergens and 4 mg L− 1 of other selected allergen proteins. The results showed that, with the exception of walnuts and peanuts, there was almost no cross-reaction with the other three allergens (Fig. 6A). The reason might be that the main allergens in walnuts and peanuts contain 2S albumin and 7S globulin. The sesame allergen protein extracted in this experiment contains 2S albumin Ses i 1, among which Ses i 1 and walnut 2S albumin Jug r 1 share 38.56% homology (Wolff et al., 2004). Peanuts also contain 2S albumin and 7S globulin. The phylogenetic tree in Fig. 6B supported this result. In addition to the low cross-reactivity to walnut and peanut allergen proteins, this method had good specificity for the other three proteins (β-lactoglobulin, lupin protein, and casein).
3.15 Matrix effects
The sesame allergen protein was extracted from different samples (bread, biscuits, almond beverage, and energy bars) with PBS to study the matrix effect. As shown in Fig. 7A–D, the standard curves of the assay in 8-fold diluted biscuits and bread sample solutions overlapped with the standard curve in PBS. This indicated that there was no matrix effect. To eliminate the food matrix effect, the energy bar sample solution was diluted 12 times and the almond beverage sample solution was diluted six times.
3.16 Spike and recovery study
To evaluate the reliability and practicability of the assay, we used a commercial ELISA kit and the developed assay to detect sesame allergens in four real food samples (bread, biscuits, almond beverage, and energy bars). Sesame allergens were added to food samples that did not contain sesame as an ingredient to make final concentrations of sesame allergens of 50, 150, 300, 600, and 800 µg L− 1 or µg kg− 1. At the same time, these samples were tested using the commercial ELISA kit to verify the accuracy of the method. As shown in Table 2, the test results of this method were the same as those of the ELISA. The recovery rates were between 82.50% and 116.67%. The LODs of the bread and biscuit samples were all 0.4 mg kg− 1. The LODs of the almond beverage and energy bar samples were 0.3 and 0.6 mg kg− 1, respectively. These results showed that the method was accurate and reliable, and can be presented as an alternative tool for the analysis of sesame in baked goods and plant-based beverages.
Table 2
Spike and recovery results of magnetic separation colorimetric immunoassay method and ELISA kit
Sample | Spike level (µg kg− 1 or µg L− 1) | Colorimetric immunoassay | ELISA kit |
Mean ± SD a (mg kg− 1 or mg L− 1, n = 3) | Recovery (%) | Mean ± SD (mg/kg or mg L− 1, n = 3) | Recovery(%) |
Bread | 0.0 | NDb | —— | ND | —— |
0.4 | 0.45 ± 0.007 | 112.50 | 0.45 ± 0.026 | 112.50 |
1.2 | 0.99 ± 0.003 | 82.50 | 1.36 ± 0.091 | 113.33 |
2.4 | 2.61 ± 0.008 | 108.75 | 2.76 ± 0.015 | 115.00 |
4.8 | 5.18 ± 0.100 | 107.92 | 5.61 ± 0.144 | 116.87 |
6.4 | 6.05 ± 0.08 | 94.53 | 6.69 ± 0.020 | 104.53 |
Biscuits | 0.0 | ND | —— | ND | —— |
0.4 | 0.44 ± 0.003 | 110.11 | 0.43 ± 0.030 | 107.50 |
1.2 | 1.22 ± 0.010 | 101.67 | 1.40 ± 0.042 | 116.67 |
2.4 | 2.25 ± 0.039 | 93.75 | 2.30 ± 0.059 | 95.83 |
4.8 | 4.16 ± 0.004 | 86.67 | 5.04 ± 0.006 | 105.00 |
6.4 | 7.20 ± 0.020 | 112.50 | 7.11 ± 0.002 | 110.09 |
Almond beverage | 0.0 | ND | —— | ND | —— |
0.3 | 0.35 ± 0.003 | 116.67 | 0.34 ± 0.022 | 113.33 |
0.9 | 0.88 ± 0.012 | 97.78 | 0.83 ± 0.008 | 92.22 |
1.8 | 1.80 ± 0.015 | 100.00 | 1.70 ± 0.004 | 94.44 |
3.6 | 3.37 ± 0.015 | 93.61 | 3.54 ± 0.006 | 98.33 |
4.8 | 5.30 ± 0.016 | 110.42 | 5.27 ± 0.013 | 109.79 |
Energy bar | 0.0 | ND | —— | ND | —— |
0.6 | 0.66 ± 0.007 | 110.00 | 0.71 ± 0.005 | 118.33 |
1.8 | 1.58 ± 0.002 | 87.77 | 1.68 ± 0.007 | 93.33 |
3.6 | 4.02 ± 0.014 | 111.67 | 3.93 ± 0.009 | 109.17 |
7.2 | 6.70 ± 0.012 | 93.05 | 7.87 ± 0.021 | 109.30 |
9.6 | 10.88 ± 0.014 | 113.33 | 10.07 ± 0.014 | 104.90 |
a SD, standard deviation. |
b ND, not detected. |